HRNet

%reload_ext autoreload
%autoreload 2
%matplotlib inline
!/opt/bin/nvidia-smi
!nvcc --version

Libs setup and imports

Installs required libs and creates util functions

%pip install lapixdl==0.7.19 # For model evaluation
%pip install -U albumentations # For data augmentations
%pip install torch==1.7.1 torchvision==0.8.2 # For HRNet compatibility

# Installs HRNet from the git source

!git clone https://github.com/HRNet/HRNet-Image-Classification /HRNet

with open("/HRNet/requirements.txt") as file:
    filedata = file.read()
filedata = filedata.replace(
    "opencv-python==3.4.1.15", "opencv-python==3.4.2.17"
)  # Fix OpenCV version
with open("/HRNet/requirements.txt", "w") as file:
    file.write(filedata)

%pip install -r /HRNet/requirements.txt

import sys

sys.path.append("/HRNet/lib")

import logging
import os
import random
import time
from pathlib import Path

import albumentations as A
import models  # noqa: F401
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.nn as nn
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from config import config as cfg
from core.function import AverageMeter
from lapixdl.evaluation.model import Classification
from lapixdl.evaluation.visualize import show_classifications
from tensorboardX import SummaryWriter
from utils.utils import get_optimizer, save_checkpoint

# Fix seeds
random.seed(1462)
torch.manual_seed(1462)

# HRNet needs distributed config
os.environ["MASTER_ADDR"] = "localhost"
os.environ["MASTER_PORT"] = "1234"
dist.init_process_group("nccl", rank=0, world_size=1, init_method="env://")

Utils

# Remaps classes if needed
def simplify_normal(cls_idx):
    return 3 if cls_idx in [2, 6] else cls_idx


def accuracy(output, target, topk=(1,)):
    """Computes the precision@k for the specified values of k"""
    with torch.no_grad():
        maxk = max(topk)
        batch_size = target.size(0)

        _, pred = output.topk(maxk, 1, True, True)
        pred = pred.t()
        correct = pred.eq(target.view(1, -1).expand_as(pred))

        res = []
        for k in topk:
            correct_k = correct[:k].contiguous().view(-1).float().sum(0, keepdim=True)
            res.append(correct_k.mul_(100.0 / batch_size))
        return res

Paths and metadata configuration

Fill the paths accordingly to the structure of the dataset and the output directories.

To load the data from google drive (on google colab), use:

from google.colab import drive

drive.mount("/content/gdrive")

path_img = Path(
    "[images root folder]"
)  # Images root folder. The images must be inside the [train|val|test]/[class] folders.
path_output = Path("[output root folder]")
path_models = (
    path_output / "models"
)  # Folder where the models/weights should be saved in

Train pipeline setup

Architecture Definition

The complete list of supported models is available at https://github.com/HRNet/HRNet-Image-Classification#imagenet-pretrained-models

# You need to find the correct configuration inside the /HRNet/experiments/ folder
model_cfg_file = "/HRNet/experiments/cls_hrnet_w18_sgd_lr5e-2_wd1e-4_bs32_x100.yaml"

# Downloads the pretrained model to /pretrained.pth. The weights must be compatible with the chosen configuration.
# !wget "https://opr0mq.dm.files.1drv.com/y4mIoWpP2n-LUohHHANpC0jrOixm1FZgO2OsUtP2DwIozH5RsoYVyv_De5wDgR6XuQmirMV3C0AljLeB-zQXevfLlnQpcNeJlT9Q8LwNYDwh3TsECkMTWXCUn3vDGJWpCxQcQWKONr5VQWO1hLEKPeJbbSZ6tgbWwJHgHF7592HY7ilmGe39o5BhHz7P9QqMYLBts6V7QGoaKrr0PL3wvvR4w" -O "/pretrained.pth" # noqa: E501

Pipeline

# Augmentations/Transforms setup


def albumentation_transforms(img):
    return A.Compose(
        [
            A.VerticalFlip(p=0.5),
            A.HorizontalFlip(p=0.5),
            A.Rotate((-10, 10), p=0.75),
            A.RandomBrightnessContrast(0.1, 0.1, p=0.75),
            A.Affine(p=0.75, shear=0.2),
        ]
    )(image=np.array(img))["image"]


# Normalization statistics
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])

# Resize images to be compatible with the model's default
imgs_size = [224, 224]
resize = transforms.Resize((imgs_size[0], imgs_size[1]))

transforms_pipeline = transforms.Compose(
    [albumentation_transforms, transforms.ToTensor(), normalize, resize]
)

bs = 64  # Adjust the batch size accordingly to the GPU VRAM capacity

# train_dataset.classes:
# ['abnormal',
# 'blood',
# 'dividing',
# 'normal',
# 'not_defined',
# 'out_of_focus',
# 'reactive']

train_dir = path_img / "train"
train_dataset = datasets.ImageFolder(
    train_dir,
    transforms_pipeline,
    # target_transform=simplify_normal
)
train_loader = torch.utils.data.DataLoader(
    train_dataset, batch_size=bs, shuffle=True, num_workers=1, pin_memory=True
)

val_dir = path_img / "val"
val_dataset = datasets.ImageFolder(
    val_dir,
    transforms.Compose([transforms.ToTensor(), normalize, resize]),
    # target_transform=simplify_normal
)
val_loader = torch.utils.data.DataLoader(
    val_dataset, batch_size=bs, shuffle=False, num_workers=1, pin_memory=True
)

# Training configuration

cudnn.benchmark = True
cudnn.deterministic = False
cudnn.enabled = True

cfg.defrost()
cfg.merge_from_file(model_cfg_file)

cfg.OUTPUT_DIR = str(path_models)
cfg.LOG_DIR = str(path_models)
cfg.GPUS = (0,)
cfg.WORKERS = 4
cfg.PRINT_FREQ = 20
cfg.AUTO_RESUME = False
cfg.PIN_MEMORY = True
cfg.RANK = 0

cfg.DATASET.DATASET = "ufsc-ocpap"
cfg.DATASET.DATA_FORMAT = "png"
cfg.DATASET.ROOT = str(path_img)
cfg.DATASET.TEST_SET = "val"
cfg.DATASET.TRAIN_SET = "train"

cfg.MODEL.PRETRAINED = ""  # '/pretrained.pth' # Loads pretrained weights
cfg.MODEL.IMAGE_SIZE = imgs_size
cfg.MODEL.NUM_CLASSES = len(train_dataset.classes)

# Training

cfg.TRAIN.LR_FACTOR = 0.1
cfg.TRAIN.LR_STEP = [30, 60, 90]
cfg.TRAIN.LR = 0.05

cfg.TRAIN.OPTIMIZER = "adam"
cfg.TRAIN.MOMENTUM = 0.9
cfg.TRAIN.WD = 0.0001
cfg.TRAIN.NESTEROV = True

cfg.TRAIN.BATCH_SIZE_PER_GPU = bs
cfg.TRAIN.BEGIN_EPOCH = 0
cfg.TRAIN.END_EPOCH = 100

cfg.TRAIN.RESUME = True

cfg.TRAIN.SHUFFLE = True

# Validation

cfg.TEST.BATCH_SIZE_PER_GPU = bs
cfg.TEST.MODEL_FILE = ""
cfg.TEST.FLIP_TEST = False
cfg.TEST.SHIFT_HEATMAP = False
cfg.TEST.USE_GT_BBOX = False

cfg.freeze()

# Output and Logs

final_output_dir = path_models

root_output_dir = Path(cfg.OUTPUT_DIR)
if not root_output_dir.exists():
    print(f"=> creating {root_output_dir}")
    root_output_dir.mkdir(parents=True)

dataset = cfg.DATASET.DATASET
model_name = "hrnet_18"

print(f"=> creating {final_output_dir}")
final_output_dir.mkdir(parents=True, exist_ok=True)

time_str = time.strftime("%Y-%m-%d-%H-%M")
log_file = "{}_{}.log".format(time_str, "train")
final_log_file = final_output_dir / log_file
head = "%(asctime)-15s %(message)s"
logging.basicConfig(filename=str(final_log_file), format=head)
logger = logging.getLogger()
logger.setLevel(logging.INFO)
console = logging.StreamHandler()
logging.getLogger("").addHandler(console)

tensorboard_log_dir = Path(cfg.LOG_DIR) / dataset / model_name / (time_str)
print(f"=> creating {tensorboard_log_dir}")
tensorboard_log_dir.mkdir(parents=True, exist_ok=True)

writer_dict = {
    "writer": SummaryWriter(log_dir=tensorboard_log_dir),
    "train_global_steps": 0,
    "valid_global_steps": 0,
}

Training

model = eval("models." + cfg.MODEL.NAME + ".get_cls_net")(cfg)

gpus = list(cfg.GPUS)
model = torch.nn.DataParallel(model, device_ids=gpus).cuda()
criterion = torch.nn.CrossEntropyLoss().cuda()
optimizer = get_optimizer(cfg, model)

best_perf = 0.0
best_model = False
last_epoch = cfg.TRAIN.BEGIN_EPOCH
if cfg.TRAIN.RESUME:
    model_state_file = os.path.join(final_output_dir, "checkpoint.pth.tar")
    if os.path.isfile(model_state_file):
        checkpoint = torch.load(model_state_file)
        last_epoch = checkpoint["epoch"]
        best_perf = checkpoint["perf"]
        model.module.load_state_dict(checkpoint["state_dict"])
        optimizer.load_state_dict(checkpoint["optimizer"])
        logger.info("=> loaded checkpoint (epoch {})".format(checkpoint["epoch"]))
        best_model = True

if isinstance(cfg.TRAIN.LR_STEP, list):
    lr_scheduler = torch.optim.lr_scheduler.MultiStepLR(
        optimizer, cfg.TRAIN.LR_STEP, cfg.TRAIN.LR_FACTOR, last_epoch - 1
    )
else:
    lr_scheduler = torch.optim.lr_scheduler.StepLR(
        optimizer, cfg.TRAIN.LR_STEP, cfg.TRAIN.LR_FACTOR, last_epoch - 1
    )

# Shows tensorboard
%reload_ext tensorboard
%tensorboard --logdir {tensorboard_log_dir}

# Debug
# CUDA_LAUNCH_BLOCKING="1"

# Define training and validation functions


def train(
    config,
    train_loader,
    model,
    criterion,
    optimizer,
    epoch,
    output_dir,
    tb_log_dir,
    writer_dict,
):
    batch_time = AverageMeter()
    data_time = AverageMeter()
    losses = AverageMeter()
    top1 = AverageMeter()
    top5 = AverageMeter()

    # switch to train mode
    model.train()

    end = time.time()
    for i, (input, target) in enumerate(train_loader):
        # measure data loading time
        data_time.update(time.time() - end)
        # target = target - 1 # Specific for imagenet

        # compute output
        output = model(input)
        target = target.cuda(non_blocking=True)

        loss = criterion(output, target)

        # compute gradient and do update step
        optimizer.zero_grad()
        loss.backward()
        optimizer.step()

        # measure accuracy and record loss
        losses.update(loss.item(), input.size(0))

        prec1, prec5 = accuracy(output, target, (1, 5))

        top1.update(prec1[0], input.size(0))
        top5.update(prec5[0], input.size(0))

        # measure elapsed time
        batch_time.update(time.time() - end)
        end = time.time()

        if i % config.PRINT_FREQ == 0:
            msg = (
                "Epoch: [{0}][{1}/{2}]\t"
                "Time {batch_time.val:.3f}s ({batch_time.avg:.3f}s)\t"
                "Speed {speed:.1f} samples/s\t"
                "Data {data_time.val:.3f}s ({data_time.avg:.3f}s)\t"
                "Loss {loss.val:.5f} ({loss.avg:.5f})\t"
                "Accuracy@1 {top1.val:.3f} ({top1.avg:.3f})\t"
                "Accuracy@5 {top5.val:.3f} ({top5.avg:.3f})\t".format(
                    epoch,
                    i,
                    len(train_loader),
                    batch_time=batch_time,
                    speed=input.size(0) / batch_time.val,
                    data_time=data_time,
                    loss=losses,
                    top1=top1,
                    top5=top5,
                )
            )
            logger.info(msg)

            if writer_dict:
                writer = writer_dict["writer"]
                global_steps = writer_dict["train_global_steps"]
                writer.add_scalar("train_loss", losses.val, global_steps)
                writer.add_scalar("train_top1", top1.val, global_steps)
                writer_dict["train_global_steps"] = global_steps + 1


def validate(
    config, val_loader, model, criterion, output_dir, tb_log_dir, writer_dict=None
):
    batch_time = AverageMeter()
    losses = AverageMeter()
    top1 = AverageMeter()
    top5 = AverageMeter()

    # switch to evaluate mode
    model.eval()

    with torch.no_grad():
        end = time.time()
        for i, (input, target) in enumerate(val_loader):
            # compute output
            output = model(input)

            target = target.cuda(non_blocking=True)

            loss = criterion(output, target)

            # measure accuracy and record loss
            losses.update(loss.item(), input.size(0))
            prec1, prec5 = accuracy(output, target, (1, 5))
            top1.update(prec1[0], input.size(0))
            top5.update(prec5[0], input.size(0))

            # measure elapsed time
            batch_time.update(time.time() - end)
            end = time.time()

        msg = (
            "Test: Time {batch_time.avg:.3f}\t"
            "Loss {loss.avg:.4f}\t"
            "Error@1 {error1:.3f}\t"
            "Error@5 {error5:.3f}\t"
            "Accuracy@1 {top1.avg:.3f}\t"
            "Accuracy@5 {top5.avg:.3f}\t".format(
                batch_time=batch_time,
                loss=losses,
                top1=top1,
                top5=top5,
                error1=100 - top1.avg,
                error5=100 - top5.avg,
            )
        )
        logger.info(msg)

        if writer_dict:
            writer = writer_dict["writer"]
            global_steps = writer_dict["valid_global_steps"]
            writer.add_scalar("valid_loss", losses.avg, global_steps)
            writer.add_scalar("valid_top1", top1.avg, global_steps)
            writer_dict["valid_global_steps"] = global_steps + 1

    return top1.avg

# Train

logger = logging.getLogger(__name__)
for epoch in range(last_epoch, cfg.TRAIN.END_EPOCH):
    # train for one epoch
    train(
        cfg,
        train_loader,
        model,
        criterion,
        optimizer,
        epoch,
        final_output_dir,
        tensorboard_log_dir,
        writer_dict,
    )
    lr_scheduler.step()
    # evaluate on validation set
    perf_indicator = validate(
        cfg,
        val_loader,
        model,
        criterion,
        final_output_dir,
        tensorboard_log_dir,
        writer_dict,
    )

    if perf_indicator > best_perf:
        best_perf = perf_indicator
        best_model = True
    else:
        best_model = False

    logger.info(f"=> saving checkpoint to {final_output_dir}")
    save_checkpoint(
        {
            "epoch": epoch + 1,
            "model": cfg.MODEL.NAME,
            "state_dict": model.module.state_dict(),
            "perf": perf_indicator,
            "optimizer": optimizer.state_dict(),
        },
        best_model,
        final_output_dir,
        filename="checkpoint.pth.tar",
    )

final_model_state_file = os.path.join(final_output_dir, "final_state.pth.tar")
logger.info(f"saving final model state to {final_model_state_file}")
torch.save(model.module.state_dict(), final_model_state_file)
writer_dict["writer"].close()

/usr/local/lib/python3.7/dist-packages/torch/optim/lr_scheduler.py:136: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
  "https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
Epoch: [1][0/365]   Time 38.265s (38.265s)  Speed 1.7 samples/s Data 35.436s (35.436s)  Loss 1.27922 (1.27922)  Accuracy@1 37.500 (37.500)  Accuracy@5 100.000 (100.000)    
Epoch: [1][20/365]  Time 33.299s (33.758s)  Speed 1.9 samples/s Data 32.510s (32.869s)  Loss 1.04818 (1.12176)  Accuracy@1 59.375 (46.652)  Accuracy@5 100.000 (100.000)    
Epoch: [1][40/365]  Time 31.916s (34.308s)  Speed 2.0 samples/s Data 31.124s (33.469s)  Loss 1.23115 (1.11084)  Accuracy@1 39.062 (45.998)  Accuracy@5 100.000 (100.000)    
Epoch: [1][60/365]  Time 34.633s (34.194s)  Speed 1.8 samples/s Data 33.845s (33.372s)  Loss 1.07179 (1.10104)  Accuracy@1 43.750 (46.081)  Accuracy@5 100.000 (100.000)    
Epoch: [1][80/365]  Time 32.429s (33.993s)  Speed 2.0 samples/s Data 31.635s (33.180s)  Loss 1.06371 (1.09809)  Accuracy@1 51.562 (46.316)  Accuracy@5 100.000 (100.000)    
Epoch: [1][100/365] Time 32.319s (33.681s)  Speed 2.0 samples/s Data 31.529s (32.873s)  Loss 1.05341 (1.09033)  Accuracy@1 48.438 (46.550)  Accuracy@5 100.000 (100.000)    
Epoch: [1][120/365] Time 32.371s (33.489s)  Speed 2.0 samples/s Data 31.578s (32.684s)  Loss 1.07068 (1.08933)  Accuracy@1 51.562 (46.798)  Accuracy@5 100.000 (100.000)    
Epoch: [1][140/365] Time 31.942s (33.311s)  Speed 2.0 samples/s Data 31.158s (32.509s)  Loss 1.01636 (1.08759)  Accuracy@1 42.188 (46.964)  Accuracy@5 100.000 (100.000)    
Epoch: [1][160/365] Time 31.975s (33.201s)  Speed 2.0 samples/s Data 31.181s (32.401s)  Loss 1.19316 (1.08650)  Accuracy@1 42.188 (47.331)  Accuracy@5 100.000 (100.000)    
Epoch: [1][180/365] Time 33.039s (33.165s)  Speed 1.9 samples/s Data 32.253s (32.366s)  Loss 1.11821 (1.09161)  Accuracy@1 43.750 (47.160)  Accuracy@5 100.000 (100.000)    
Epoch: [1][200/365] Time 32.820s (33.129s)  Speed 2.0 samples/s Data 32.037s (32.332s)  Loss 1.23476 (1.08920)  Accuracy@1 43.750 (47.139)  Accuracy@5 100.000 (100.000)    
Epoch: [1][220/365] Time 33.398s (33.084s)  Speed 1.9 samples/s Data 32.606s (32.287s)  Loss 1.12511 (1.08919)  Accuracy@1 45.312 (47.016)  Accuracy@5 100.000 (100.000)    
Epoch: [1][240/365] Time 32.324s (33.038s)  Speed 2.0 samples/s Data 31.531s (32.242s)  Loss 1.12532 (1.08629)  Accuracy@1 40.625 (47.251)  Accuracy@5 100.000 (100.000)    
Epoch: [1][260/365] Time 31.500s (32.982s)  Speed 2.0 samples/s Data 30.705s (32.187s)  Loss 1.09701 (1.08692)  Accuracy@1 43.750 (47.198)  Accuracy@5 100.000 (100.000)    
Epoch: [1][280/365] Time 32.937s (32.916s)  Speed 1.9 samples/s Data 32.147s (32.121s)  Loss 1.08703 (1.08936)  Accuracy@1 42.188 (47.042)  Accuracy@5 100.000 (100.000)    
Epoch: [1][300/365] Time 37.436s (32.892s)  Speed 1.7 samples/s Data 36.639s (32.098s)  Loss 1.06938 (1.08723)  Accuracy@1 48.438 (47.119)  Accuracy@5 100.000 (100.000)    
Epoch: [1][320/365] Time 31.899s (32.864s)  Speed 2.0 samples/s Data 31.115s (32.071s)  Loss 1.08734 (1.08692)  Accuracy@1 51.562 (47.152)  Accuracy@5 100.000 (100.000)    
Epoch: [1][340/365] Time 32.097s (32.797s)  Speed 2.0 samples/s Data 31.306s (32.004s)  Loss 1.00410 (1.08873)  Accuracy@1 59.375 (47.008)  Accuracy@5 100.000 (100.000)    
Epoch: [1][360/365] Time 31.841s (32.777s)  Speed 2.0 samples/s Data 31.061s (31.985s)  Loss 0.99296 (1.08536)  Accuracy@1 54.688 (47.252)  Accuracy@5 100.000 (100.000)    
Test: Time 32.817   Loss 1.0170 Error@1 48.460  Error@5 0.000   Accuracy@1 51.540   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [2][0/365]   Time 1.559s (1.559s)    Speed 41.1 samples/s    Data 0.699s (0.699s)    Loss 0.84660 (0.84660)  Accuracy@1 65.625 (65.625)  Accuracy@5 100.000 (100.000)    
Epoch: [2][20/365]  Time 0.781s (0.843s)    Speed 82.0 samples/s    Data 0.000s (0.034s)    Loss 1.01372 (1.03605)  Accuracy@1 50.000 (48.958)  Accuracy@5 100.000 (100.000)    
Epoch: [2][40/365]  Time 0.788s (0.815s)    Speed 81.2 samples/s    Data 0.000s (0.017s)    Loss 1.04198 (1.05256)  Accuracy@1 50.000 (47.752)  Accuracy@5 100.000 (100.000)    
Epoch: [2][60/365]  Time 0.784s (0.806s)    Speed 81.6 samples/s    Data 0.000s (0.012s)    Loss 1.18453 (1.04826)  Accuracy@1 45.312 (49.001)  Accuracy@5 100.000 (100.000)    
Epoch: [2][80/365]  Time 0.786s (0.801s)    Speed 81.4 samples/s    Data 0.000s (0.009s)    Loss 1.01639 (1.04444)  Accuracy@1 48.438 (49.228)  Accuracy@5 100.000 (100.000)    
Epoch: [2][100/365] Time 0.798s (0.798s)    Speed 80.2 samples/s    Data 0.000s (0.007s)    Loss 1.11360 (1.04880)  Accuracy@1 48.438 (48.979)  Accuracy@5 100.000 (100.000)    
Epoch: [2][120/365] Time 0.792s (0.797s)    Speed 80.9 samples/s    Data 0.000s (0.006s)    Loss 1.20054 (1.04918)  Accuracy@1 40.625 (48.825)  Accuracy@5 100.000 (100.000)    
Epoch: [2][140/365] Time 0.784s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.97432 (1.05613)  Accuracy@1 51.562 (48.759)  Accuracy@5 100.000 (100.000)    
Epoch: [2][160/365] Time 0.782s (0.794s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.98636 (1.05409)  Accuracy@1 48.438 (48.894)  Accuracy@5 100.000 (100.000)    
Epoch: [2][180/365] Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 1.01145 (1.05480)  Accuracy@1 50.000 (48.653)  Accuracy@5 100.000 (100.000)    
Epoch: [2][200/365] Time 0.781s (0.793s)    Speed 81.9 samples/s    Data 0.000s (0.004s)    Loss 1.34332 (1.05464)  Accuracy@1 43.750 (48.678)  Accuracy@5 100.000 (100.000)    
Epoch: [2][220/365] Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 1.08719 (1.05837)  Accuracy@1 42.188 (48.628)  Accuracy@5 100.000 (100.000)    
Epoch: [2][240/365] Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 1.09318 (1.05951)  Accuracy@1 53.125 (48.522)  Accuracy@5 100.000 (100.000)    
Epoch: [2][260/365] Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 1.05795 (1.06042)  Accuracy@1 42.188 (48.485)  Accuracy@5 100.000 (100.000)    
Epoch: [2][280/365] Time 0.793s (0.791s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 1.02965 (1.06153)  Accuracy@1 50.000 (48.460)  Accuracy@5 100.000 (100.000)    
Epoch: [2][300/365] Time 0.790s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 1.02970 (1.06207)  Accuracy@1 46.875 (48.453)  Accuracy@5 100.000 (100.000)    
Epoch: [2][320/365] Time 0.784s (0.790s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.97219 (1.06000)  Accuracy@1 56.250 (48.423)  Accuracy@5 100.000 (100.000)    
Epoch: [2][340/365] Time 0.792s (0.790s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 1.01745 (1.05824)  Accuracy@1 46.875 (48.360)  Accuracy@5 100.000 (100.000)    
Epoch: [2][360/365] Time 0.787s (0.790s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 1.04316 (1.05542)  Accuracy@1 50.000 (48.515)  Accuracy@5 100.000 (100.000)    
Test: Time 0.363    Loss 1.4559 Error@1 61.656  Error@5 0.000   Accuracy@1 38.344   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [3][0/365]   Time 1.408s (1.408s)    Speed 45.5 samples/s    Data 0.571s (0.571s)    Loss 1.00993 (1.00993)  Accuracy@1 53.125 (53.125)  Accuracy@5 100.000 (100.000)    
Epoch: [3][20/365]  Time 0.783s (0.823s)    Speed 81.7 samples/s    Data 0.000s (0.028s)    Loss 1.00136 (1.03043)  Accuracy@1 59.375 (50.595)  Accuracy@5 100.000 (100.000)    
Epoch: [3][40/365]  Time 0.787s (0.805s)    Speed 81.3 samples/s    Data 0.000s (0.014s)    Loss 1.11765 (1.04256)  Accuracy@1 48.438 (49.924)  Accuracy@5 100.000 (100.000)    
Epoch: [3][60/365]  Time 0.790s (0.799s)    Speed 81.0 samples/s    Data 0.000s (0.010s)    Loss 0.98046 (1.04860)  Accuracy@1 57.812 (50.077)  Accuracy@5 100.000 (100.000)    
Epoch: [3][80/365]  Time 0.788s (0.796s)    Speed 81.2 samples/s    Data 0.000s (0.007s)    Loss 1.10932 (1.05331)  Accuracy@1 40.625 (49.595)  Accuracy@5 100.000 (100.000)    
Epoch: [3][100/365] Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.98088 (1.05085)  Accuracy@1 51.562 (49.010)  Accuracy@5 100.000 (100.000)    
Epoch: [3][120/365] Time 0.785s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 1.17830 (1.04756)  Accuracy@1 48.438 (48.889)  Accuracy@5 100.000 (100.000)    
Epoch: [3][140/365] Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.004s)    Loss 1.02416 (1.04900)  Accuracy@1 50.000 (48.703)  Accuracy@5 100.000 (100.000)    
Epoch: [3][160/365] Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.93839 (1.04710)  Accuracy@1 62.500 (48.641)  Accuracy@5 100.000 (100.000)    
Epoch: [3][180/365] Time 0.786s (0.790s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 1.08866 (1.04812)  Accuracy@1 40.625 (48.463)  Accuracy@5 100.000 (100.000)    
Epoch: [3][200/365] Time 0.792s (0.790s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 1.12626 (1.04556)  Accuracy@1 45.312 (48.780)  Accuracy@5 100.000 (100.000)    
Epoch: [3][220/365] Time 0.789s (0.790s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 1.00003 (1.04342)  Accuracy@1 51.562 (48.982)  Accuracy@5 100.000 (100.000)    
Epoch: [3][240/365] Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.98111 (1.04132)  Accuracy@1 50.000 (49.157)  Accuracy@5 100.000 (100.000)    
Epoch: [3][260/365] Time 0.788s (0.789s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.92314 (1.03685)  Accuracy@1 46.875 (49.395)  Accuracy@5 100.000 (100.000)    
Epoch: [3][280/365] Time 0.786s (0.789s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 1.01783 (1.03688)  Accuracy@1 59.375 (49.483)  Accuracy@5 100.000 (100.000)    
Epoch: [3][300/365] Time 0.784s (0.789s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 1.05998 (1.03912)  Accuracy@1 46.875 (49.382)  Accuracy@5 100.000 (100.000)    
Epoch: [3][320/365] Time 0.786s (0.789s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.94438 (1.03791)  Accuracy@1 48.438 (49.469)  Accuracy@5 100.000 (100.000)    
Epoch: [3][340/365] Time 0.785s (0.789s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.95991 (1.03662)  Accuracy@1 56.250 (49.578)  Accuracy@5 100.000 (100.000)    
Epoch: [3][360/365] Time 0.788s (0.789s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 1.18593 (1.03607)  Accuracy@1 48.438 (49.567)  Accuracy@5 100.000 (100.000)    
Test: Time 0.348    Loss 1.0475 Error@1 50.950  Error@5 0.000   Accuracy@1 49.050   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [4][0/365]   Time 1.426s (1.426s)    Speed 44.9 samples/s    Data 0.577s (0.577s)    Loss 1.04015 (1.04015)  Accuracy@1 48.438 (48.438)  Accuracy@5 100.000 (100.000)    
Epoch: [4][20/365]  Time 0.783s (0.821s)    Speed 81.8 samples/s    Data 0.000s (0.028s)    Loss 1.06752 (1.04937)  Accuracy@1 43.750 (48.363)  Accuracy@5 100.000 (100.000)    
Epoch: [4][40/365]  Time 0.784s (0.804s)    Speed 81.7 samples/s    Data 0.000s (0.014s)    Loss 0.94011 (1.04500)  Accuracy@1 50.000 (47.523)  Accuracy@5 100.000 (100.000)    
Epoch: [4][60/365]  Time 0.782s (0.798s)    Speed 81.8 samples/s    Data 0.000s (0.010s)    Loss 0.95265 (1.04401)  Accuracy@1 56.250 (48.899)  Accuracy@5 100.000 (100.000)    
Epoch: [4][80/365]  Time 0.781s (0.795s)    Speed 81.9 samples/s    Data 0.000s (0.007s)    Loss 0.91019 (1.03718)  Accuracy@1 53.125 (48.804)  Accuracy@5 100.000 (100.000)    
Epoch: [4][100/365] Time 0.783s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 1.02701 (1.03628)  Accuracy@1 50.000 (48.840)  Accuracy@5 100.000 (100.000)    
Epoch: [4][120/365] Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 1.04220 (1.03114)  Accuracy@1 48.438 (49.419)  Accuracy@5 100.000 (100.000)    
Epoch: [4][140/365] Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.92417 (1.03141)  Accuracy@1 51.562 (49.269)  Accuracy@5 100.000 (100.000)    
Epoch: [4][160/365] Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.95478 (1.02770)  Accuracy@1 56.250 (49.612)  Accuracy@5 100.000 (100.000)    
Epoch: [4][180/365] Time 0.808s (0.791s)    Speed 79.2 samples/s    Data 0.000s (0.003s)    Loss 0.86804 (1.02151)  Accuracy@1 50.000 (49.931)  Accuracy@5 100.000 (100.000)    
Epoch: [4][200/365] Time 0.783s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.003s)    Loss 0.85324 (1.02424)  Accuracy@1 60.938 (49.946)  Accuracy@5 100.000 (100.000)    
Epoch: [4][220/365] Time 0.794s (0.790s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 1.11055 (1.02473)  Accuracy@1 53.125 (50.064)  Accuracy@5 100.000 (100.000)    
Epoch: [4][240/365] Time 0.794s (0.790s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 0.98444 (1.02582)  Accuracy@1 50.000 (49.883)  Accuracy@5 100.000 (100.000)    
Epoch: [4][260/365] Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 1.05905 (1.02510)  Accuracy@1 48.438 (50.060)  Accuracy@5 100.000 (100.000)    
Epoch: [4][280/365] Time 0.784s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 1.00329 (1.02445)  Accuracy@1 57.812 (50.095)  Accuracy@5 100.000 (100.000)    
Epoch: [4][300/365] Time 0.785s (0.789s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 1.06303 (1.02190)  Accuracy@1 50.000 (50.327)  Accuracy@5 100.000 (100.000)    
Epoch: [4][320/365] Time 0.787s (0.789s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 1.07759 (1.02126)  Accuracy@1 56.250 (50.380)  Accuracy@5 100.000 (100.000)    
Epoch: [4][340/365] Time 0.792s (0.789s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 1.00270 (1.02111)  Accuracy@1 43.750 (50.385)  Accuracy@5 100.000 (100.000)    
Epoch: [4][360/365] Time 0.791s (0.789s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.97355 (1.02030)  Accuracy@1 56.250 (50.515)  Accuracy@5 100.000 (100.000)    
Test: Time 0.362    Loss 0.9809 Error@1 49.377  Error@5 0.000   Accuracy@1 50.623   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [5][0/365]   Time 1.459s (1.459s)    Speed 43.9 samples/s    Data 0.614s (0.614s)    Loss 1.11752 (1.11752)  Accuracy@1 45.312 (45.312)  Accuracy@5 100.000 (100.000)    
Epoch: [5][20/365]  Time 0.790s (0.830s)    Speed 81.0 samples/s    Data 0.000s (0.030s)    Loss 0.98819 (1.03212)  Accuracy@1 59.375 (51.190)  Accuracy@5 100.000 (100.000)    
Epoch: [5][40/365]  Time 0.791s (0.809s)    Speed 81.0 samples/s    Data 0.000s (0.015s)    Loss 1.03245 (1.02728)  Accuracy@1 53.125 (51.105)  Accuracy@5 100.000 (100.000)    
Epoch: [5][60/365]  Time 0.782s (0.802s)    Speed 81.8 samples/s    Data 0.000s (0.010s)    Loss 1.06552 (1.02225)  Accuracy@1 40.625 (51.101)  Accuracy@5 100.000 (100.000)    
Epoch: [5][80/365]  Time 0.783s (0.799s)    Speed 81.8 samples/s    Data 0.000s (0.008s)    Loss 1.21630 (1.01498)  Accuracy@1 43.750 (50.965)  Accuracy@5 100.000 (100.000)    
Epoch: [5][100/365] Time 0.784s (0.796s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 0.95408 (1.01890)  Accuracy@1 48.438 (51.114)  Accuracy@5 100.000 (100.000)    
Epoch: [5][120/365] Time 0.793s (0.795s)    Speed 80.7 samples/s    Data 0.000s (0.005s)    Loss 0.96881 (1.01798)  Accuracy@1 62.500 (51.614)  Accuracy@5 100.000 (100.000)    
Epoch: [5][140/365] Time 0.782s (0.794s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.99134 (1.01218)  Accuracy@1 53.125 (51.928)  Accuracy@5 100.000 (100.000)    
Epoch: [5][160/365] Time 0.779s (0.793s)    Speed 82.1 samples/s    Data 0.000s (0.004s)    Loss 0.89271 (1.01049)  Accuracy@1 54.688 (51.892)  Accuracy@5 100.000 (100.000)    
Epoch: [5][180/365] Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.91467 (1.00894)  Accuracy@1 53.125 (51.761)  Accuracy@5 100.000 (100.000)    
Epoch: [5][200/365] Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 1.00074 (1.01281)  Accuracy@1 50.000 (51.539)  Accuracy@5 100.000 (100.000)    
Epoch: [5][220/365] Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 1.03981 (1.01015)  Accuracy@1 50.000 (51.456)  Accuracy@5 100.000 (100.000)    
Epoch: [5][240/365] Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 1.05854 (1.00972)  Accuracy@1 45.312 (51.394)  Accuracy@5 100.000 (100.000)    
Epoch: [5][260/365] Time 0.784s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.85612 (1.00972)  Accuracy@1 60.938 (51.551)  Accuracy@5 100.000 (100.000)    
Epoch: [5][280/365] Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 1.15624 (1.01096)  Accuracy@1 35.938 (51.435)  Accuracy@5 100.000 (100.000)    
Epoch: [5][300/365] Time 0.784s (0.790s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.98141 (1.01173)  Accuracy@1 46.875 (51.210)  Accuracy@5 100.000 (100.000)    
Epoch: [5][320/365] Time 0.784s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.99629 (1.01195)  Accuracy@1 45.312 (51.154)  Accuracy@5 100.000 (100.000)    
Epoch: [5][340/365] Time 0.788s (0.789s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 1.01187 (1.01090)  Accuracy@1 42.188 (51.182)  Accuracy@5 100.000 (100.000)    
Epoch: [5][360/365] Time 0.784s (0.789s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 1.02458 (1.01070)  Accuracy@1 54.688 (51.190)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.9969 Error@1 50.055  Error@5 0.000   Accuracy@1 49.945   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [6][0/365]   Time 1.468s (1.468s)    Speed 43.6 samples/s    Data 0.603s (0.603s)    Loss 1.10630 (1.10630)  Accuracy@1 51.562 (51.562)  Accuracy@5 100.000 (100.000)    
Epoch: [6][20/365]  Time 0.790s (0.830s)    Speed 81.0 samples/s    Data 0.000s (0.029s)    Loss 1.01493 (1.00577)  Accuracy@1 46.875 (52.009)  Accuracy@5 100.000 (100.000)    
Epoch: [6][40/365]  Time 0.787s (0.809s)    Speed 81.4 samples/s    Data 0.000s (0.015s)    Loss 1.16454 (1.00244)  Accuracy@1 46.875 (51.524)  Accuracy@5 100.000 (100.000)    
Epoch: [6][60/365]  Time 0.789s (0.801s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.95916 (0.98922)  Accuracy@1 57.812 (51.691)  Accuracy@5 100.000 (100.000)    
Epoch: [6][80/365]  Time 0.785s (0.798s)    Speed 81.6 samples/s    Data 0.000s (0.008s)    Loss 0.94036 (0.99480)  Accuracy@1 51.562 (51.447)  Accuracy@5 100.000 (100.000)    
Epoch: [6][100/365] Time 0.789s (0.796s)    Speed 81.1 samples/s    Data 0.000s (0.006s)    Loss 1.16058 (0.99190)  Accuracy@1 46.875 (51.392)  Accuracy@5 100.000 (100.000)    
Epoch: [6][120/365] Time 0.785s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 1.03165 (0.99677)  Accuracy@1 54.688 (51.240)  Accuracy@5 100.000 (100.000)    
Epoch: [6][140/365] Time 0.795s (0.793s)    Speed 80.5 samples/s    Data 0.000s (0.005s)    Loss 0.97036 (1.00096)  Accuracy@1 51.562 (50.931)  Accuracy@5 100.000 (100.000)    
Epoch: [6][160/365] Time 0.783s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.97431 (1.00053)  Accuracy@1 59.375 (51.106)  Accuracy@5 100.000 (100.000)    
Epoch: [6][180/365] Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 1.04227 (0.99932)  Accuracy@1 53.125 (51.260)  Accuracy@5 100.000 (100.000)    
Epoch: [6][200/365] Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 1.08306 (0.99999)  Accuracy@1 50.000 (51.430)  Accuracy@5 100.000 (100.000)    
Epoch: [6][220/365] Time 0.794s (0.791s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 0.99532 (1.00113)  Accuracy@1 45.312 (51.456)  Accuracy@5 100.000 (100.000)    
Epoch: [6][240/365] Time 0.782s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.003s)    Loss 1.02901 (1.00122)  Accuracy@1 65.625 (51.420)  Accuracy@5 100.000 (100.000)    
Epoch: [6][260/365] Time 0.788s (0.790s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.96214 (1.00007)  Accuracy@1 57.812 (51.431)  Accuracy@5 100.000 (100.000)    
Epoch: [6][280/365] Time 0.789s (0.790s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 1.04665 (1.00022)  Accuracy@1 46.875 (51.340)  Accuracy@5 100.000 (100.000)    
Epoch: [6][300/365] Time 0.794s (0.790s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 1.01435 (1.00006)  Accuracy@1 48.438 (51.199)  Accuracy@5 100.000 (100.000)    
Epoch: [6][320/365] Time 0.786s (0.790s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 1.14753 (1.00286)  Accuracy@1 57.812 (51.047)  Accuracy@5 100.000 (100.000)    
Epoch: [6][340/365] Time 0.784s (0.789s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 1.07089 (1.00302)  Accuracy@1 53.125 (51.127)  Accuracy@5 100.000 (100.000)    
Epoch: [6][360/365] Time 0.783s (0.789s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.95843 (1.00335)  Accuracy@1 48.438 (51.151)  Accuracy@5 100.000 (100.000)    
Test: Time 0.336    Loss 0.9533 Error@1 46.668  Error@5 0.000   Accuracy@1 53.332   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [7][0/365]   Time 1.429s (1.429s)    Speed 44.8 samples/s    Data 0.563s (0.563s)    Loss 0.94264 (0.94264)  Accuracy@1 56.250 (56.250)  Accuracy@5 100.000 (100.000)    
Epoch: [7][20/365]  Time 0.791s (0.827s)    Speed 80.9 samples/s    Data 0.000s (0.028s)    Loss 0.93563 (0.98522)  Accuracy@1 50.000 (53.497)  Accuracy@5 100.000 (100.000)    
Epoch: [7][40/365]  Time 0.789s (0.808s)    Speed 81.1 samples/s    Data 0.000s (0.014s)    Loss 1.12320 (0.99417)  Accuracy@1 40.625 (52.668)  Accuracy@5 100.000 (100.000)    
Epoch: [7][60/365]  Time 0.790s (0.801s)    Speed 81.1 samples/s    Data 0.000s (0.010s)    Loss 1.13756 (0.98808)  Accuracy@1 62.500 (52.357)  Accuracy@5 100.000 (100.000)    
Epoch: [7][80/365]  Time 0.787s (0.798s)    Speed 81.3 samples/s    Data 0.000s (0.007s)    Loss 0.88671 (0.98758)  Accuracy@1 54.688 (52.450)  Accuracy@5 100.000 (100.000)    
Epoch: [7][100/365] Time 0.784s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.006s)    Loss 0.84732 (0.98836)  Accuracy@1 56.250 (52.181)  Accuracy@5 100.000 (100.000)    
Epoch: [7][120/365] Time 0.792s (0.795s)    Speed 80.9 samples/s    Data 0.000s (0.005s)    Loss 1.00750 (0.98719)  Accuracy@1 48.438 (51.989)  Accuracy@5 100.000 (100.000)    
Epoch: [7][140/365] Time 0.789s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.93516 (0.99387)  Accuracy@1 60.938 (51.474)  Accuracy@5 100.000 (100.000)    
Epoch: [7][160/365] Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.92852 (0.99141)  Accuracy@1 56.250 (51.805)  Accuracy@5 100.000 (100.000)    
Epoch: [7][180/365] Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 1.02661 (0.99058)  Accuracy@1 46.875 (51.839)  Accuracy@5 100.000 (100.000)    
Epoch: [7][200/365] Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 1.13183 (0.99648)  Accuracy@1 48.438 (51.679)  Accuracy@5 100.000 (100.000)    
Epoch: [7][220/365] Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.95752 (0.99547)  Accuracy@1 50.000 (51.817)  Accuracy@5 100.000 (100.000)    
Epoch: [7][240/365] Time 0.782s (0.791s)    Speed 81.9 samples/s    Data 0.000s (0.003s)    Loss 0.95431 (0.99474)  Accuracy@1 40.625 (51.776)  Accuracy@5 100.000 (100.000)    
Epoch: [7][260/365] Time 0.783s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 1.00171 (0.99597)  Accuracy@1 50.000 (51.586)  Accuracy@5 100.000 (100.000)    
Epoch: [7][280/365] Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 1.04566 (0.99406)  Accuracy@1 45.312 (51.718)  Accuracy@5 100.000 (100.000)    
Epoch: [7][300/365] Time 0.783s (0.790s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 1.07386 (0.99423)  Accuracy@1 43.750 (51.749)  Accuracy@5 100.000 (100.000)    
Epoch: [7][320/365] Time 0.790s (0.790s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 1.07792 (0.99386)  Accuracy@1 50.000 (51.791)  Accuracy@5 100.000 (100.000)    
Epoch: [7][340/365] Time 0.792s (0.790s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 1.08333 (0.99633)  Accuracy@1 54.688 (51.677)  Accuracy@5 100.000 (100.000)    
Epoch: [7][360/365] Time 0.791s (0.790s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.92072 (0.99544)  Accuracy@1 51.562 (51.718)  Accuracy@5 100.000 (100.000)    
Test: Time 0.336    Loss 1.0749 Error@1 52.720  Error@5 0.000   Accuracy@1 47.280   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [8][0/365]   Time 1.460s (1.460s)    Speed 43.8 samples/s    Data 0.580s (0.580s)    Loss 0.91652 (0.91652)  Accuracy@1 57.812 (57.812)  Accuracy@5 100.000 (100.000)    
Epoch: [8][20/365]  Time 0.787s (0.829s)    Speed 81.4 samples/s    Data 0.000s (0.028s)    Loss 0.94320 (0.98759)  Accuracy@1 53.125 (51.265)  Accuracy@5 100.000 (100.000)    
Epoch: [8][40/365]  Time 0.787s (0.809s)    Speed 81.3 samples/s    Data 0.000s (0.015s)    Loss 0.93603 (0.97424)  Accuracy@1 46.875 (52.591)  Accuracy@5 100.000 (100.000)    
Epoch: [8][60/365]  Time 0.785s (0.802s)    Speed 81.6 samples/s    Data 0.000s (0.010s)    Loss 0.97321 (0.98162)  Accuracy@1 51.562 (52.177)  Accuracy@5 100.000 (100.000)    
Epoch: [8][80/365]  Time 0.787s (0.798s)    Speed 81.3 samples/s    Data 0.000s (0.008s)    Loss 1.02626 (0.98466)  Accuracy@1 42.188 (52.450)  Accuracy@5 100.000 (100.000)    
Epoch: [8][100/365] Time 0.788s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.006s)    Loss 0.93849 (0.98687)  Accuracy@1 50.000 (51.934)  Accuracy@5 100.000 (100.000)    
Epoch: [8][120/365] Time 0.790s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.005s)    Loss 1.04732 (0.98525)  Accuracy@1 46.875 (52.027)  Accuracy@5 100.000 (100.000)    
Epoch: [8][140/365] Time 0.790s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.93073 (0.98151)  Accuracy@1 46.875 (51.784)  Accuracy@5 100.000 (100.000)    
Epoch: [8][160/365] Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 1.03775 (0.97984)  Accuracy@1 51.562 (51.776)  Accuracy@5 100.000 (100.000)    
Epoch: [8][180/365] Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.92063 (0.98300)  Accuracy@1 56.250 (51.752)  Accuracy@5 100.000 (100.000)    
Epoch: [8][200/365] Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 1.06760 (0.98659)  Accuracy@1 48.438 (51.609)  Accuracy@5 100.000 (100.000)    
Epoch: [8][220/365] Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.94392 (0.98726)  Accuracy@1 56.250 (51.591)  Accuracy@5 100.000 (100.000)    
Epoch: [8][240/365] Time 0.789s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.89769 (0.98824)  Accuracy@1 60.938 (51.439)  Accuracy@5 100.000 (100.000)    
Epoch: [8][260/365] Time 0.793s (0.791s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 1.05117 (0.99078)  Accuracy@1 53.125 (51.293)  Accuracy@5 100.000 (100.000)    
Epoch: [8][280/365] Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.96461 (0.99302)  Accuracy@1 57.812 (51.201)  Accuracy@5 100.000 (100.000)    
Epoch: [8][300/365] Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.89613 (0.99050)  Accuracy@1 59.375 (51.350)  Accuracy@5 100.000 (100.000)    
Epoch: [8][320/365] Time 0.786s (0.790s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 1.10856 (0.99130)  Accuracy@1 50.000 (51.436)  Accuracy@5 100.000 (100.000)    
Epoch: [8][340/365] Time 0.789s (0.790s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 1.04399 (0.99184)  Accuracy@1 50.000 (51.439)  Accuracy@5 100.000 (100.000)    
Epoch: [8][360/365] Time 0.790s (0.790s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 1.02560 (0.99128)  Accuracy@1 51.562 (51.524)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 1.3912 Error@1 57.090  Error@5 0.000   Accuracy@1 42.910   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [9][0/365]   Time 1.420s (1.420s)    Speed 45.1 samples/s    Data 0.574s (0.574s)    Loss 0.99551 (0.99551)  Accuracy@1 40.625 (40.625)  Accuracy@5 100.000 (100.000)    
Epoch: [9][20/365]  Time 0.785s (0.824s)    Speed 81.5 samples/s    Data 0.000s (0.028s)    Loss 0.84975 (0.99387)  Accuracy@1 68.750 (52.753)  Accuracy@5 100.000 (100.000)    
Epoch: [9][40/365]  Time 0.785s (0.807s)    Speed 81.6 samples/s    Data 0.000s (0.014s)    Loss 1.03957 (0.99886)  Accuracy@1 50.000 (51.829)  Accuracy@5 100.000 (100.000)    
Epoch: [9][60/365]  Time 0.785s (0.801s)    Speed 81.5 samples/s    Data 0.000s (0.010s)    Loss 0.91368 (0.99133)  Accuracy@1 54.688 (51.819)  Accuracy@5 100.000 (100.000)    
Epoch: [9][80/365]  Time 0.784s (0.798s)    Speed 81.6 samples/s    Data 0.000s (0.007s)    Loss 0.92318 (0.98810)  Accuracy@1 53.125 (51.871)  Accuracy@5 100.000 (100.000)    
Epoch: [9][100/365] Time 0.785s (0.796s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.89142 (0.98433)  Accuracy@1 56.250 (51.965)  Accuracy@5 100.000 (100.000)    
Epoch: [9][120/365] Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.99640 (0.98492)  Accuracy@1 50.000 (52.053)  Accuracy@5 100.000 (100.000)    
Epoch: [9][140/365] Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 1.19746 (0.98142)  Accuracy@1 35.938 (52.083)  Accuracy@5 100.000 (100.000)    
Epoch: [9][160/365] Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.92734 (0.98110)  Accuracy@1 51.562 (52.319)  Accuracy@5 100.000 (100.000)    
Epoch: [9][180/365] Time 0.789s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.86265 (0.98170)  Accuracy@1 56.250 (52.279)  Accuracy@5 100.000 (100.000)    
Epoch: [9][200/365] Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.85457 (0.98442)  Accuracy@1 64.062 (52.208)  Accuracy@5 100.000 (100.000)    
Epoch: [9][220/365] Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 1.03952 (0.98357)  Accuracy@1 51.562 (52.128)  Accuracy@5 100.000 (100.000)    
Epoch: [9][240/365] Time 0.792s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 1.14986 (0.98434)  Accuracy@1 45.312 (52.101)  Accuracy@5 100.000 (100.000)    
Epoch: [9][260/365] Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.88835 (0.98490)  Accuracy@1 59.375 (52.059)  Accuracy@5 100.000 (100.000)    
Epoch: [9][280/365] Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.93351 (0.98369)  Accuracy@1 54.688 (52.113)  Accuracy@5 100.000 (100.000)    
Epoch: [9][300/365] Time 0.787s (0.790s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 1.08202 (0.98472)  Accuracy@1 45.312 (52.009)  Accuracy@5 100.000 (100.000)    
Epoch: [9][320/365] Time 0.786s (0.790s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 1.13327 (0.98296)  Accuracy@1 51.562 (52.098)  Accuracy@5 100.000 (100.000)    
Epoch: [9][340/365] Time 0.794s (0.790s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 1.03645 (0.98270)  Accuracy@1 48.438 (52.286)  Accuracy@5 100.000 (100.000)    
Epoch: [9][360/365] Time 0.788s (0.790s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.97899 (0.98241)  Accuracy@1 54.688 (52.381)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.9970 Error@1 51.060  Error@5 0.000   Accuracy@1 48.940   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [10][0/365]  Time 1.450s (1.450s)    Speed 44.1 samples/s    Data 0.591s (0.591s)    Loss 0.86205 (0.86205)  Accuracy@1 54.688 (54.688)  Accuracy@5 100.000 (100.000)    
Epoch: [10][20/365] Time 0.784s (0.832s)    Speed 81.6 samples/s    Data 0.000s (0.029s)    Loss 0.95655 (0.97667)  Accuracy@1 56.250 (53.051)  Accuracy@5 100.000 (100.000)    
Epoch: [10][40/365] Time 0.785s (0.811s)    Speed 81.5 samples/s    Data 0.000s (0.015s)    Loss 0.96442 (0.98763)  Accuracy@1 54.688 (52.172)  Accuracy@5 100.000 (100.000)    
Epoch: [10][60/365] Time 0.788s (0.804s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.96850 (0.98322)  Accuracy@1 54.688 (51.947)  Accuracy@5 100.000 (100.000)    
Epoch: [10][80/365] Time 0.787s (0.800s)    Speed 81.3 samples/s    Data 0.000s (0.008s)    Loss 1.19203 (0.98544)  Accuracy@1 46.875 (52.508)  Accuracy@5 100.000 (100.000)    
Epoch: [10][100/365]    Time 0.786s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.89670 (0.98404)  Accuracy@1 60.938 (52.367)  Accuracy@5 100.000 (100.000)    
Epoch: [10][120/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.93593 (0.98259)  Accuracy@1 54.688 (52.647)  Accuracy@5 100.000 (100.000)    
Epoch: [10][140/365]    Time 0.793s (0.795s)    Speed 80.7 samples/s    Data 0.000s (0.005s)    Loss 0.99235 (0.98017)  Accuracy@1 60.938 (52.903)  Accuracy@5 100.000 (100.000)    
Epoch: [10][160/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 1.01130 (0.97964)  Accuracy@1 37.500 (52.853)  Accuracy@5 100.000 (100.000)    
Epoch: [10][180/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.90979 (0.98144)  Accuracy@1 53.125 (52.762)  Accuracy@5 100.000 (100.000)    
Epoch: [10][200/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 1.01008 (0.98125)  Accuracy@1 60.938 (52.861)  Accuracy@5 100.000 (100.000)    
Epoch: [10][220/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.90148 (0.98009)  Accuracy@1 59.375 (52.899)  Accuracy@5 100.000 (100.000)    
Epoch: [10][240/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 1.02416 (0.98420)  Accuracy@1 45.312 (52.704)  Accuracy@5 100.000 (100.000)    
Epoch: [10][260/365]    Time 0.783s (0.792s)    Speed 81.8 samples/s    Data 0.000s (0.003s)    Loss 0.91228 (0.97853)  Accuracy@1 53.125 (52.886)  Accuracy@5 100.000 (100.000)    
Epoch: [10][280/365]    Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.85368 (0.97759)  Accuracy@1 60.938 (52.880)  Accuracy@5 100.000 (100.000)    
Epoch: [10][300/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.95290 (0.97709)  Accuracy@1 54.688 (52.959)  Accuracy@5 100.000 (100.000)    
Epoch: [10][320/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 1.20990 (0.97637)  Accuracy@1 42.188 (52.998)  Accuracy@5 100.000 (100.000)    
Epoch: [10][340/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 1.03655 (0.97492)  Accuracy@1 57.812 (53.020)  Accuracy@5 100.000 (100.000)    
Epoch: [10][360/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.94311 (0.97397)  Accuracy@1 51.562 (53.051)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.9519 Error@1 46.253  Error@5 0.000   Accuracy@1 53.747   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [11][0/365]  Time 1.432s (1.432s)    Speed 44.7 samples/s    Data 0.569s (0.569s)    Loss 0.82632 (0.82632)  Accuracy@1 60.938 (60.938)  Accuracy@5 100.000 (100.000)    
Epoch: [11][20/365] Time 0.786s (0.824s)    Speed 81.5 samples/s    Data 0.000s (0.028s)    Loss 0.88054 (0.94213)  Accuracy@1 53.125 (55.729)  Accuracy@5 100.000 (100.000)    
Epoch: [11][40/365] Time 0.787s (0.807s)    Speed 81.3 samples/s    Data 0.000s (0.014s)    Loss 0.92220 (0.96360)  Accuracy@1 57.812 (53.887)  Accuracy@5 100.000 (100.000)    
Epoch: [11][60/365] Time 0.787s (0.801s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.89654 (0.96485)  Accuracy@1 56.250 (53.023)  Accuracy@5 100.000 (100.000)    
Epoch: [11][80/365] Time 0.791s (0.798s)    Speed 80.9 samples/s    Data 0.000s (0.007s)    Loss 1.07369 (0.95810)  Accuracy@1 43.750 (53.202)  Accuracy@5 100.000 (100.000)    
Epoch: [11][100/365]    Time 0.799s (0.796s)    Speed 80.1 samples/s    Data 0.000s (0.006s)    Loss 0.98568 (0.96101)  Accuracy@1 51.562 (53.373)  Accuracy@5 100.000 (100.000)    
Epoch: [11][120/365]    Time 0.784s (0.795s)    Speed 81.7 samples/s    Data 0.000s (0.005s)    Loss 0.82529 (0.96177)  Accuracy@1 67.188 (53.822)  Accuracy@5 100.000 (100.000)    
Epoch: [11][140/365]    Time 0.797s (0.794s)    Speed 80.3 samples/s    Data 0.000s (0.004s)    Loss 0.99613 (0.96344)  Accuracy@1 48.438 (53.812)  Accuracy@5 100.000 (100.000)    
Epoch: [11][160/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.98812 (0.96230)  Accuracy@1 59.375 (54.037)  Accuracy@5 100.000 (100.000)    
Epoch: [11][180/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.95828 (0.95829)  Accuracy@1 57.812 (54.334)  Accuracy@5 100.000 (100.000)    
Epoch: [11][200/365]    Time 0.792s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.92758 (0.96034)  Accuracy@1 40.625 (53.902)  Accuracy@5 100.000 (100.000)    
Epoch: [11][220/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.86083 (0.95809)  Accuracy@1 65.625 (53.973)  Accuracy@5 100.000 (100.000)    
Epoch: [11][240/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.91976 (0.96084)  Accuracy@1 54.688 (53.890)  Accuracy@5 100.000 (100.000)    
Epoch: [11][260/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.93630 (0.96099)  Accuracy@1 56.250 (53.742)  Accuracy@5 100.000 (100.000)    
Epoch: [11][280/365]    Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.91631 (0.96189)  Accuracy@1 56.250 (53.592)  Accuracy@5 100.000 (100.000)    
Epoch: [11][300/365]    Time 0.797s (0.791s)    Speed 80.3 samples/s    Data 0.000s (0.002s)    Loss 1.02335 (0.96177)  Accuracy@1 51.562 (53.488)  Accuracy@5 100.000 (100.000)    
Epoch: [11][320/365]    Time 0.785s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.78431 (0.96389)  Accuracy@1 65.625 (53.349)  Accuracy@5 100.000 (100.000)    
Epoch: [11][340/365]    Time 0.792s (0.790s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.98633 (0.96442)  Accuracy@1 51.562 (53.308)  Accuracy@5 100.000 (100.000)    
Epoch: [11][360/365]    Time 0.786s (0.790s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.93691 (0.96673)  Accuracy@1 54.688 (53.268)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.9744 Error@1 48.263  Error@5 0.000   Accuracy@1 51.737   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [12][0/365]  Time 1.468s (1.468s)    Speed 43.6 samples/s    Data 0.585s (0.585s)    Loss 0.92522 (0.92522)  Accuracy@1 57.812 (57.812)  Accuracy@5 100.000 (100.000)    
Epoch: [12][20/365] Time 0.784s (0.829s)    Speed 81.7 samples/s    Data 0.000s (0.028s)    Loss 0.92398 (0.94344)  Accuracy@1 59.375 (53.943)  Accuracy@5 100.000 (100.000)    
Epoch: [12][40/365] Time 0.787s (0.809s)    Speed 81.3 samples/s    Data 0.000s (0.015s)    Loss 1.03998 (0.94208)  Accuracy@1 56.250 (55.259)  Accuracy@5 100.000 (100.000)    
Epoch: [12][60/365] Time 0.784s (0.803s)    Speed 81.6 samples/s    Data 0.000s (0.010s)    Loss 0.89661 (0.94889)  Accuracy@1 62.500 (54.816)  Accuracy@5 100.000 (100.000)    
Epoch: [12][80/365] Time 0.786s (0.799s)    Speed 81.5 samples/s    Data 0.000s (0.008s)    Loss 0.86149 (0.94392)  Accuracy@1 57.812 (54.784)  Accuracy@5 100.000 (100.000)    
Epoch: [12][100/365]    Time 0.786s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.85402 (0.94555)  Accuracy@1 59.375 (54.966)  Accuracy@5 100.000 (100.000)    
Epoch: [12][120/365]    Time 0.796s (0.796s)    Speed 80.4 samples/s    Data 0.000s (0.005s)    Loss 0.78727 (0.94731)  Accuracy@1 64.062 (54.713)  Accuracy@5 100.000 (100.000)    
Epoch: [12][140/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 1.03639 (0.94975)  Accuracy@1 59.375 (54.477)  Accuracy@5 100.000 (100.000)    
Epoch: [12][160/365]    Time 0.791s (0.794s)    Speed 80.9 samples/s    Data 0.000s (0.004s)    Loss 0.86112 (0.94930)  Accuracy@1 53.125 (54.532)  Accuracy@5 100.000 (100.000)    
Epoch: [12][180/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.94021 (0.95274)  Accuracy@1 56.250 (54.247)  Accuracy@5 100.000 (100.000)    
Epoch: [12][200/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 1.05076 (0.95289)  Accuracy@1 54.688 (54.307)  Accuracy@5 100.000 (100.000)    
Epoch: [12][220/365]    Time 0.797s (0.793s)    Speed 80.3 samples/s    Data 0.000s (0.003s)    Loss 0.93479 (0.95358)  Accuracy@1 57.812 (54.355)  Accuracy@5 100.000 (100.000)    
Epoch: [12][240/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.80045 (0.95308)  Accuracy@1 62.500 (54.214)  Accuracy@5 100.000 (100.000)    
Epoch: [12][260/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 1.18661 (0.95487)  Accuracy@1 37.500 (53.999)  Accuracy@5 100.000 (100.000)    
Epoch: [12][280/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 1.08275 (0.95659)  Accuracy@1 54.688 (53.937)  Accuracy@5 100.000 (100.000)    
Epoch: [12][300/365]    Time 0.781s (0.791s)    Speed 81.9 samples/s    Data 0.000s (0.002s)    Loss 0.88720 (0.95518)  Accuracy@1 62.500 (54.132)  Accuracy@5 100.000 (100.000)    
Epoch: [12][320/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.94474 (0.95560)  Accuracy@1 53.125 (54.137)  Accuracy@5 100.000 (100.000)    
Epoch: [12][340/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.85149 (0.95342)  Accuracy@1 59.375 (54.179)  Accuracy@5 100.000 (100.000)    
Epoch: [12][360/365]    Time 0.788s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.97545 (0.95610)  Accuracy@1 53.125 (54.099)  Accuracy@5 100.000 (100.000)    
Test: Time 0.335    Loss 1.1986 Error@1 53.944  Error@5 0.000   Accuracy@1 46.056   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [13][0/365]  Time 1.448s (1.448s)    Speed 44.2 samples/s    Data 0.591s (0.591s)    Loss 0.91758 (0.91758)  Accuracy@1 50.000 (50.000)  Accuracy@5 100.000 (100.000)    
Epoch: [13][20/365] Time 0.791s (0.830s)    Speed 81.0 samples/s    Data 0.000s (0.029s)    Loss 0.93338 (0.95366)  Accuracy@1 54.688 (54.464)  Accuracy@5 100.000 (100.000)    
Epoch: [13][40/365] Time 0.792s (0.810s)    Speed 80.8 samples/s    Data 0.000s (0.015s)    Loss 0.95088 (0.95442)  Accuracy@1 50.000 (53.659)  Accuracy@5 100.000 (100.000)    
Epoch: [13][60/365] Time 0.788s (0.803s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.92879 (0.95159)  Accuracy@1 54.688 (54.124)  Accuracy@5 100.000 (100.000)    
Epoch: [13][80/365] Time 0.792s (0.800s)    Speed 80.8 samples/s    Data 0.000s (0.008s)    Loss 0.79296 (0.95142)  Accuracy@1 67.188 (54.225)  Accuracy@5 100.000 (100.000)    
Epoch: [13][100/365]    Time 0.782s (0.797s)    Speed 81.8 samples/s    Data 0.000s (0.006s)    Loss 0.91403 (0.94950)  Accuracy@1 57.812 (54.394)  Accuracy@5 100.000 (100.000)    
Epoch: [13][120/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 1.05523 (0.95148)  Accuracy@1 48.438 (54.507)  Accuracy@5 100.000 (100.000)    
Epoch: [13][140/365]    Time 0.787s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.94792 (0.94521)  Accuracy@1 51.562 (54.610)  Accuracy@5 100.000 (100.000)    
Epoch: [13][160/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.88911 (0.94748)  Accuracy@1 50.000 (54.532)  Accuracy@5 100.000 (100.000)    
Epoch: [13][180/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.84735 (0.94704)  Accuracy@1 62.500 (54.662)  Accuracy@5 100.000 (100.000)    
Epoch: [13][200/365]    Time 0.783s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.77074 (0.94660)  Accuracy@1 76.562 (54.703)  Accuracy@5 100.000 (100.000)    
Epoch: [13][220/365]    Time 0.791s (0.793s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 1.02007 (0.94572)  Accuracy@1 53.125 (54.786)  Accuracy@5 100.000 (100.000)    
Epoch: [13][240/365]    Time 0.795s (0.792s)    Speed 80.5 samples/s    Data 0.000s (0.003s)    Loss 0.96734 (0.94518)  Accuracy@1 53.125 (54.746)  Accuracy@5 100.000 (100.000)    
Epoch: [13][260/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 1.02026 (0.94683)  Accuracy@1 53.125 (54.777)  Accuracy@5 100.000 (100.000)    
Epoch: [13][280/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.98496 (0.94531)  Accuracy@1 53.125 (54.971)  Accuracy@5 100.000 (100.000)    
Epoch: [13][300/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.80579 (0.94495)  Accuracy@1 59.375 (55.066)  Accuracy@5 100.000 (100.000)    
Epoch: [13][320/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 1.04371 (0.94336)  Accuracy@1 51.562 (55.096)  Accuracy@5 100.000 (100.000)    
Epoch: [13][340/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.83553 (0.94341)  Accuracy@1 64.062 (55.182)  Accuracy@5 100.000 (100.000)    
Epoch: [13][360/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.84452 (0.94241)  Accuracy@1 65.625 (55.181)  Accuracy@5 100.000 (100.000)    
Test: Time 0.339    Loss 0.9470 Error@1 43.784  Error@5 0.000   Accuracy@1 56.216   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [14][0/365]  Time 1.525s (1.525s)    Speed 42.0 samples/s    Data 0.655s (0.655s)    Loss 0.93791 (0.93791)  Accuracy@1 64.062 (64.062)  Accuracy@5 100.000 (100.000)    
Epoch: [14][20/365] Time 0.785s (0.840s)    Speed 81.6 samples/s    Data 0.000s (0.032s)    Loss 0.96463 (0.91869)  Accuracy@1 57.812 (57.738)  Accuracy@5 100.000 (100.000)    
Epoch: [14][40/365] Time 0.785s (0.814s)    Speed 81.5 samples/s    Data 0.000s (0.016s)    Loss 0.84539 (0.93867)  Accuracy@1 62.500 (57.050)  Accuracy@5 100.000 (100.000)    
Epoch: [14][60/365] Time 0.783s (0.805s)    Speed 81.7 samples/s    Data 0.000s (0.011s)    Loss 0.81945 (0.94060)  Accuracy@1 62.500 (56.481)  Accuracy@5 100.000 (100.000)    
Epoch: [14][80/365] Time 0.786s (0.801s)    Speed 81.5 samples/s    Data 0.000s (0.008s)    Loss 0.91263 (0.93703)  Accuracy@1 51.562 (56.115)  Accuracy@5 100.000 (100.000)    
Epoch: [14][100/365]    Time 0.783s (0.798s)    Speed 81.7 samples/s    Data 0.000s (0.007s)    Loss 0.89572 (0.93419)  Accuracy@1 67.188 (56.358)  Accuracy@5 100.000 (100.000)    
Epoch: [14][120/365]    Time 0.781s (0.796s)    Speed 81.9 samples/s    Data 0.000s (0.006s)    Loss 0.85188 (0.92695)  Accuracy@1 54.688 (56.676)  Accuracy@5 100.000 (100.000)    
Epoch: [14][140/365]    Time 0.785s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.86900 (0.92552)  Accuracy@1 53.125 (56.605)  Accuracy@5 100.000 (100.000)    
Epoch: [14][160/365]    Time 0.784s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.75766 (0.92612)  Accuracy@1 73.438 (56.541)  Accuracy@5 100.000 (100.000)    
Epoch: [14][180/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.94531 (0.93032)  Accuracy@1 56.250 (56.397)  Accuracy@5 100.000 (100.000)    
Epoch: [14][200/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.73226 (0.93277)  Accuracy@1 67.188 (56.180)  Accuracy@5 100.000 (100.000)    
Epoch: [14][220/365]    Time 0.781s (0.792s)    Speed 81.9 samples/s    Data 0.000s (0.003s)    Loss 0.85586 (0.93184)  Accuracy@1 62.500 (56.123)  Accuracy@5 100.000 (100.000)    
Epoch: [14][240/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.92997 (0.93221)  Accuracy@1 53.125 (56.036)  Accuracy@5 100.000 (100.000)    
Epoch: [14][260/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.88701 (0.93186)  Accuracy@1 60.938 (55.957)  Accuracy@5 100.000 (100.000)    
Epoch: [14][280/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.88486 (0.93109)  Accuracy@1 57.812 (55.989)  Accuracy@5 100.000 (100.000)    
Epoch: [14][300/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.87170 (0.92965)  Accuracy@1 51.562 (55.985)  Accuracy@5 100.000 (100.000)    
Epoch: [14][320/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.94942 (0.92966)  Accuracy@1 51.562 (55.895)  Accuracy@5 100.000 (100.000)    
Epoch: [14][340/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.91516 (0.92886)  Accuracy@1 51.562 (55.952)  Accuracy@5 100.000 (100.000)    
Epoch: [14][360/365]    Time 0.790s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 1.02172 (0.93011)  Accuracy@1 51.562 (55.930)  Accuracy@5 100.000 (100.000)    
Test: Time 0.336    Loss 0.8893 Error@1 40.944  Error@5 0.000   Accuracy@1 59.056   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [15][0/365]  Time 1.447s (1.447s)    Speed 44.2 samples/s    Data 0.576s (0.576s)    Loss 1.14547 (1.14547)  Accuracy@1 43.750 (43.750)  Accuracy@5 100.000 (100.000)    
Epoch: [15][20/365] Time 0.787s (0.832s)    Speed 81.3 samples/s    Data 0.000s (0.028s)    Loss 0.94487 (0.89751)  Accuracy@1 56.250 (55.878)  Accuracy@5 100.000 (100.000)    
Epoch: [15][40/365] Time 0.787s (0.810s)    Speed 81.4 samples/s    Data 0.000s (0.014s)    Loss 0.79668 (0.91841)  Accuracy@1 60.938 (56.936)  Accuracy@5 100.000 (100.000)    
Epoch: [15][60/365] Time 0.783s (0.803s)    Speed 81.7 samples/s    Data 0.000s (0.010s)    Loss 0.88752 (0.92266)  Accuracy@1 65.625 (56.942)  Accuracy@5 100.000 (100.000)    
Epoch: [15][80/365] Time 0.790s (0.799s)    Speed 81.0 samples/s    Data 0.000s (0.007s)    Loss 0.96961 (0.92191)  Accuracy@1 53.125 (56.829)  Accuracy@5 100.000 (100.000)    
Epoch: [15][100/365]    Time 0.784s (0.797s)    Speed 81.6 samples/s    Data 0.000s (0.006s)    Loss 1.02960 (0.92606)  Accuracy@1 57.812 (56.962)  Accuracy@5 100.000 (100.000)    
Epoch: [15][120/365]    Time 0.783s (0.796s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 1.05902 (0.92497)  Accuracy@1 51.562 (57.244)  Accuracy@5 100.000 (100.000)    
Epoch: [15][140/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 1.01409 (0.92550)  Accuracy@1 51.562 (57.114)  Accuracy@5 100.000 (100.000)    
Epoch: [15][160/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.78090 (0.92341)  Accuracy@1 64.062 (57.269)  Accuracy@5 100.000 (100.000)    
Epoch: [15][180/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.91411 (0.91992)  Accuracy@1 60.938 (57.424)  Accuracy@5 100.000 (100.000)    
Epoch: [15][200/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.81017 (0.91624)  Accuracy@1 64.062 (57.432)  Accuracy@5 100.000 (100.000)    
Epoch: [15][220/365]    Time 0.796s (0.792s)    Speed 80.4 samples/s    Data 0.000s (0.003s)    Loss 0.94097 (0.91688)  Accuracy@1 59.375 (57.622)  Accuracy@5 100.000 (100.000)    
Epoch: [15][240/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.78523 (0.91321)  Accuracy@1 62.500 (57.728)  Accuracy@5 100.000 (100.000)    
Epoch: [15][260/365]    Time 0.799s (0.791s)    Speed 80.1 samples/s    Data 0.000s (0.003s)    Loss 0.83714 (0.91400)  Accuracy@1 57.812 (57.543)  Accuracy@5 100.000 (100.000)    
Epoch: [15][280/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.89991 (0.91414)  Accuracy@1 51.562 (57.540)  Accuracy@5 100.000 (100.000)    
Epoch: [15][300/365]    Time 0.782s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.95461 (0.91410)  Accuracy@1 54.688 (57.392)  Accuracy@5 100.000 (100.000)    
Epoch: [15][320/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 1.04177 (0.91300)  Accuracy@1 57.812 (57.399)  Accuracy@5 100.000 (100.000)    
Epoch: [15][340/365]    Time 0.790s (0.790s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.76655 (0.91311)  Accuracy@1 68.750 (57.423)  Accuracy@5 100.000 (100.000)    
Epoch: [15][360/365]    Time 0.789s (0.790s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.89040 (0.91414)  Accuracy@1 56.250 (57.497)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.9687 Error@1 44.680  Error@5 0.000   Accuracy@1 55.320   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [16][0/365]  Time 1.443s (1.443s)    Speed 44.3 samples/s    Data 0.569s (0.569s)    Loss 0.85865 (0.85865)  Accuracy@1 57.812 (57.812)  Accuracy@5 100.000 (100.000)    
Epoch: [16][20/365] Time 0.782s (0.828s)    Speed 81.8 samples/s    Data 0.000s (0.028s)    Loss 0.98021 (0.89636)  Accuracy@1 59.375 (59.375)  Accuracy@5 100.000 (100.000)    
Epoch: [16][40/365] Time 0.783s (0.808s)    Speed 81.7 samples/s    Data 0.000s (0.014s)    Loss 0.87158 (0.90463)  Accuracy@1 59.375 (59.680)  Accuracy@5 100.000 (100.000)    
Epoch: [16][60/365] Time 0.790s (0.801s)    Speed 81.0 samples/s    Data 0.000s (0.010s)    Loss 0.96022 (0.90209)  Accuracy@1 57.812 (58.837)  Accuracy@5 100.000 (100.000)    
Epoch: [16][80/365] Time 0.791s (0.798s)    Speed 80.9 samples/s    Data 0.000s (0.007s)    Loss 0.97657 (0.89866)  Accuracy@1 57.812 (58.526)  Accuracy@5 100.000 (100.000)    
Epoch: [16][100/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.006s)    Loss 1.08835 (0.90157)  Accuracy@1 53.125 (58.431)  Accuracy@5 100.000 (100.000)    
Epoch: [16][120/365]    Time 0.782s (0.794s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.83618 (0.90221)  Accuracy@1 57.812 (58.445)  Accuracy@5 100.000 (100.000)    
Epoch: [16][140/365]    Time 0.784s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.84385 (0.89894)  Accuracy@1 54.688 (58.533)  Accuracy@5 100.000 (100.000)    
Epoch: [16][160/365]    Time 0.792s (0.793s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.88280 (0.89999)  Accuracy@1 56.250 (58.443)  Accuracy@5 100.000 (100.000)    
Epoch: [16][180/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.73326 (0.90067)  Accuracy@1 78.125 (58.236)  Accuracy@5 100.000 (100.000)    
Epoch: [16][200/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.80367 (0.90085)  Accuracy@1 65.625 (58.442)  Accuracy@5 100.000 (100.000)    
Epoch: [16][220/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.92010 (0.90160)  Accuracy@1 51.562 (58.399)  Accuracy@5 100.000 (100.000)    
Epoch: [16][240/365]    Time 0.783s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.003s)    Loss 0.78259 (0.89980)  Accuracy@1 60.938 (58.701)  Accuracy@5 100.000 (100.000)    
Epoch: [16][260/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.75311 (0.90002)  Accuracy@1 60.938 (58.752)  Accuracy@5 100.000 (100.000)    
Epoch: [16][280/365]    Time 0.784s (0.790s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.73259 (0.89962)  Accuracy@1 65.625 (58.880)  Accuracy@5 100.000 (100.000)    
Epoch: [16][300/365]    Time 0.785s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.89267 (0.90049)  Accuracy@1 54.688 (58.871)  Accuracy@5 100.000 (100.000)    
Epoch: [16][320/365]    Time 0.785s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 1.00883 (0.90017)  Accuracy@1 50.000 (58.742)  Accuracy@5 100.000 (100.000)    
Epoch: [16][340/365]    Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.98899 (0.90004)  Accuracy@1 43.750 (58.683)  Accuracy@5 100.000 (100.000)    
Epoch: [16][360/365]    Time 0.786s (0.790s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.87048 (0.89826)  Accuracy@1 60.938 (58.799)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.9560 Error@1 44.898  Error@5 0.000   Accuracy@1 55.102   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [17][0/365]  Time 1.422s (1.422s)    Speed 45.0 samples/s    Data 0.576s (0.576s)    Loss 0.85755 (0.85755)  Accuracy@1 67.188 (67.188)  Accuracy@5 100.000 (100.000)    
Epoch: [17][20/365] Time 0.785s (0.831s)    Speed 81.5 samples/s    Data 0.000s (0.028s)    Loss 0.85190 (0.87586)  Accuracy@1 57.812 (59.152)  Accuracy@5 100.000 (100.000)    
Epoch: [17][40/365] Time 0.786s (0.809s)    Speed 81.5 samples/s    Data 0.000s (0.014s)    Loss 0.90567 (0.87390)  Accuracy@1 60.938 (60.823)  Accuracy@5 100.000 (100.000)    
Epoch: [17][60/365] Time 0.795s (0.802s)    Speed 80.5 samples/s    Data 0.000s (0.010s)    Loss 0.94243 (0.86899)  Accuracy@1 60.938 (60.374)  Accuracy@5 100.000 (100.000)    
Epoch: [17][80/365] Time 0.785s (0.799s)    Speed 81.5 samples/s    Data 0.000s (0.007s)    Loss 1.03523 (0.87895)  Accuracy@1 43.750 (59.684)  Accuracy@5 100.000 (100.000)    
Epoch: [17][100/365]    Time 0.784s (0.797s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 0.89346 (0.87613)  Accuracy@1 57.812 (60.056)  Accuracy@5 100.000 (100.000)    
Epoch: [17][120/365]    Time 0.785s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.78318 (0.88006)  Accuracy@1 68.750 (59.866)  Accuracy@5 100.000 (100.000)    
Epoch: [17][140/365]    Time 0.783s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.91878 (0.88027)  Accuracy@1 60.938 (59.796)  Accuracy@5 100.000 (100.000)    
Epoch: [17][160/365]    Time 0.784s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.83210 (0.87661)  Accuracy@1 62.500 (59.977)  Accuracy@5 100.000 (100.000)    
Epoch: [17][180/365]    Time 0.783s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.92564 (0.87810)  Accuracy@1 54.688 (59.824)  Accuracy@5 100.000 (100.000)    
Epoch: [17][200/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.97312 (0.87870)  Accuracy@1 50.000 (59.795)  Accuracy@5 100.000 (100.000)    
Epoch: [17][220/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.89521 (0.88136)  Accuracy@1 50.000 (59.644)  Accuracy@5 100.000 (100.000)    
Epoch: [17][240/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.79880 (0.88116)  Accuracy@1 67.188 (59.608)  Accuracy@5 100.000 (100.000)    
Epoch: [17][260/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.88384 (0.88277)  Accuracy@1 51.562 (59.644)  Accuracy@5 100.000 (100.000)    
Epoch: [17][280/365]    Time 0.787s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.83069 (0.88185)  Accuracy@1 67.188 (59.731)  Accuracy@5 100.000 (100.000)    
Epoch: [17][300/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.74041 (0.88060)  Accuracy@1 71.875 (60.060)  Accuracy@5 100.000 (100.000)    
Epoch: [17][320/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.79951 (0.88049)  Accuracy@1 64.062 (60.042)  Accuracy@5 100.000 (100.000)    
Epoch: [17][340/365]    Time 0.785s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.79981 (0.88199)  Accuracy@1 64.062 (59.943)  Accuracy@5 100.000 (100.000)    
Epoch: [17][360/365]    Time 0.791s (0.790s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.75605 (0.87894)  Accuracy@1 64.062 (60.106)  Accuracy@5 100.000 (100.000)    
Test: Time 0.334    Loss 0.9425 Error@1 42.735  Error@5 0.000   Accuracy@1 57.265   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [18][0/365]  Time 1.509s (1.509s)    Speed 42.4 samples/s    Data 0.655s (0.655s)    Loss 0.84189 (0.84189)  Accuracy@1 57.812 (57.812)  Accuracy@5 100.000 (100.000)    
Epoch: [18][20/365] Time 0.784s (0.830s)    Speed 81.6 samples/s    Data 0.000s (0.032s)    Loss 0.74750 (0.89516)  Accuracy@1 68.750 (57.366)  Accuracy@5 100.000 (100.000)    
Epoch: [18][40/365] Time 0.785s (0.809s)    Speed 81.6 samples/s    Data 0.000s (0.016s)    Loss 0.81887 (0.87154)  Accuracy@1 56.250 (60.137)  Accuracy@5 100.000 (100.000)    
Epoch: [18][60/365] Time 0.791s (0.802s)    Speed 80.9 samples/s    Data 0.000s (0.011s)    Loss 0.94983 (0.86919)  Accuracy@1 59.375 (60.220)  Accuracy@5 100.000 (100.000)    
Epoch: [18][80/365] Time 0.796s (0.798s)    Speed 80.4 samples/s    Data 0.000s (0.008s)    Loss 0.84402 (0.86598)  Accuracy@1 60.938 (60.822)  Accuracy@5 100.000 (100.000)    
Epoch: [18][100/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.007s)    Loss 0.85932 (0.86267)  Accuracy@1 65.625 (61.046)  Accuracy@5 100.000 (100.000)    
Epoch: [18][120/365]    Time 0.785s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.87705 (0.86572)  Accuracy@1 57.812 (60.731)  Accuracy@5 100.000 (100.000)    
Epoch: [18][140/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.88774 (0.86186)  Accuracy@1 65.625 (61.059)  Accuracy@5 100.000 (100.000)    
Epoch: [18][160/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 1.14021 (0.86302)  Accuracy@1 56.250 (60.986)  Accuracy@5 100.000 (100.000)    
Epoch: [18][180/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.80808 (0.86635)  Accuracy@1 60.938 (60.696)  Accuracy@5 100.000 (100.000)    
Epoch: [18][200/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 1.03283 (0.86640)  Accuracy@1 60.938 (60.743)  Accuracy@5 100.000 (100.000)    
Epoch: [18][220/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.85587 (0.87057)  Accuracy@1 65.625 (60.591)  Accuracy@5 100.000 (100.000)    
Epoch: [18][240/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.80537 (0.87159)  Accuracy@1 64.062 (60.425)  Accuracy@5 100.000 (100.000)    
Epoch: [18][260/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.87227 (0.87039)  Accuracy@1 51.562 (60.459)  Accuracy@5 100.000 (100.000)    
Epoch: [18][280/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.99942 (0.87318)  Accuracy@1 54.688 (60.470)  Accuracy@5 100.000 (100.000)    
Epoch: [18][300/365]    Time 0.784s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.79428 (0.87050)  Accuracy@1 65.625 (60.574)  Accuracy@5 100.000 (100.000)    
Epoch: [18][320/365]    Time 0.784s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.95395 (0.87198)  Accuracy@1 62.500 (60.485)  Accuracy@5 100.000 (100.000)    
Epoch: [18][340/365]    Time 0.790s (0.790s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.93881 (0.87103)  Accuracy@1 59.375 (60.598)  Accuracy@5 100.000 (100.000)    
Epoch: [18][360/365]    Time 0.789s (0.790s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.84014 (0.86961)  Accuracy@1 57.812 (60.613)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 1.1105 Error@1 45.139  Error@5 0.000   Accuracy@1 54.861   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [19][0/365]  Time 1.443s (1.443s)    Speed 44.3 samples/s    Data 0.595s (0.595s)    Loss 0.82236 (0.82236)  Accuracy@1 67.188 (67.188)  Accuracy@5 100.000 (100.000)    
Epoch: [19][20/365] Time 0.786s (0.828s)    Speed 81.4 samples/s    Data 0.000s (0.029s)    Loss 0.92402 (0.88365)  Accuracy@1 53.125 (59.226)  Accuracy@5 100.000 (100.000)    
Epoch: [19][40/365] Time 0.790s (0.809s)    Speed 81.0 samples/s    Data 0.000s (0.015s)    Loss 0.83759 (0.86486)  Accuracy@1 68.750 (60.785)  Accuracy@5 100.000 (100.000)    
Epoch: [19][60/365] Time 0.788s (0.802s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.86166 (0.86878)  Accuracy@1 54.688 (60.502)  Accuracy@5 100.000 (100.000)    
Epoch: [19][80/365] Time 0.800s (0.799s)    Speed 80.0 samples/s    Data 0.000s (0.008s)    Loss 0.98404 (0.86828)  Accuracy@1 64.062 (60.204)  Accuracy@5 100.000 (100.000)    
Epoch: [19][100/365]    Time 0.793s (0.796s)    Speed 80.7 samples/s    Data 0.000s (0.006s)    Loss 0.86121 (0.87144)  Accuracy@1 60.938 (60.597)  Accuracy@5 100.000 (100.000)    
Epoch: [19][120/365]    Time 0.792s (0.795s)    Speed 80.8 samples/s    Data 0.000s (0.005s)    Loss 0.92535 (0.87199)  Accuracy@1 64.062 (60.498)  Accuracy@5 100.000 (100.000)    
Epoch: [19][140/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.005s)    Loss 0.89451 (0.87000)  Accuracy@1 53.125 (60.849)  Accuracy@5 100.000 (100.000)    
Epoch: [19][160/365]    Time 0.788s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.93445 (0.86600)  Accuracy@1 57.812 (60.899)  Accuracy@5 100.000 (100.000)    
Epoch: [19][180/365]    Time 0.797s (0.793s)    Speed 80.3 samples/s    Data 0.000s (0.004s)    Loss 0.97508 (0.86082)  Accuracy@1 50.000 (61.214)  Accuracy@5 100.000 (100.000)    
Epoch: [19][200/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.81889 (0.85889)  Accuracy@1 73.438 (61.264)  Accuracy@5 100.000 (100.000)    
Epoch: [19][220/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.93807 (0.85825)  Accuracy@1 54.688 (61.185)  Accuracy@5 100.000 (100.000)    
Epoch: [19][240/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.72924 (0.85495)  Accuracy@1 76.562 (61.378)  Accuracy@5 100.000 (100.000)    
Epoch: [19][260/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.87772 (0.85441)  Accuracy@1 64.062 (61.404)  Accuracy@5 100.000 (100.000)    
Epoch: [19][280/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.72952 (0.85648)  Accuracy@1 65.625 (61.199)  Accuracy@5 100.000 (100.000)    
Epoch: [19][300/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.95107 (0.85638)  Accuracy@1 57.812 (61.223)  Accuracy@5 100.000 (100.000)    
Epoch: [19][320/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.97208 (0.85589)  Accuracy@1 45.312 (61.264)  Accuracy@5 100.000 (100.000)    
Epoch: [19][340/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.90589 (0.85655)  Accuracy@1 59.375 (61.295)  Accuracy@5 100.000 (100.000)    
Epoch: [19][360/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.83328 (0.85605)  Accuracy@1 57.812 (61.396)  Accuracy@5 100.000 (100.000)    
Test: Time 0.335    Loss 0.9461 Error@1 42.058  Error@5 0.000   Accuracy@1 57.942   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [20][0/365]  Time 1.431s (1.431s)    Speed 44.7 samples/s    Data 0.577s (0.577s)    Loss 0.74799 (0.74799)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [20][20/365] Time 0.784s (0.823s)    Speed 81.6 samples/s    Data 0.000s (0.028s)    Loss 0.71336 (0.84627)  Accuracy@1 56.250 (61.161)  Accuracy@5 100.000 (100.000)    
Epoch: [20][40/365] Time 0.789s (0.806s)    Speed 81.2 samples/s    Data 0.000s (0.015s)    Loss 0.84946 (0.83498)  Accuracy@1 56.250 (62.195)  Accuracy@5 100.000 (100.000)    
Epoch: [20][60/365] Time 0.789s (0.800s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.78676 (0.84996)  Accuracy@1 62.500 (60.835)  Accuracy@5 100.000 (100.000)    
Epoch: [20][80/365] Time 0.784s (0.797s)    Speed 81.6 samples/s    Data 0.000s (0.007s)    Loss 0.81017 (0.85717)  Accuracy@1 57.812 (60.667)  Accuracy@5 100.000 (100.000)    
Epoch: [20][100/365]    Time 0.783s (0.795s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 0.91738 (0.85042)  Accuracy@1 64.062 (61.262)  Accuracy@5 100.000 (100.000)    
Epoch: [20][120/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.86593 (0.85555)  Accuracy@1 59.375 (61.351)  Accuracy@5 100.000 (100.000)    
Epoch: [20][140/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.88207 (0.85828)  Accuracy@1 67.188 (61.192)  Accuracy@5 100.000 (100.000)    
Epoch: [20][160/365]    Time 0.788s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.84709 (0.85049)  Accuracy@1 60.938 (61.394)  Accuracy@5 100.000 (100.000)    
Epoch: [20][180/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.80367 (0.85239)  Accuracy@1 60.938 (61.352)  Accuracy@5 100.000 (100.000)    
Epoch: [20][200/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.72053 (0.85124)  Accuracy@1 71.875 (61.419)  Accuracy@5 100.000 (100.000)    
Epoch: [20][220/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.72206 (0.84925)  Accuracy@1 73.438 (61.503)  Accuracy@5 100.000 (100.000)    
Epoch: [20][240/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.76437 (0.84694)  Accuracy@1 67.188 (61.527)  Accuracy@5 100.000 (100.000)    
Epoch: [20][260/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.86257 (0.84944)  Accuracy@1 65.625 (61.464)  Accuracy@5 100.000 (100.000)    
Epoch: [20][280/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.88808 (0.84817)  Accuracy@1 59.375 (61.510)  Accuracy@5 100.000 (100.000)    
Epoch: [20][300/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.79996 (0.84601)  Accuracy@1 62.500 (61.633)  Accuracy@5 100.000 (100.000)    
Epoch: [20][320/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 1.00202 (0.84591)  Accuracy@1 59.375 (61.638)  Accuracy@5 100.000 (100.000)    
Epoch: [20][340/365]    Time 0.789s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.80984 (0.84423)  Accuracy@1 65.625 (61.739)  Accuracy@5 100.000 (100.000)    
Epoch: [20][360/365]    Time 0.786s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.63203 (0.84460)  Accuracy@1 78.125 (61.838)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.8450 Error@1 39.109  Error@5 0.000   Accuracy@1 60.891   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [21][0/365]  Time 1.420s (1.420s)    Speed 45.1 samples/s    Data 0.555s (0.555s)    Loss 0.91432 (0.91432)  Accuracy@1 68.750 (68.750)  Accuracy@5 100.000 (100.000)    
Epoch: [21][20/365] Time 0.785s (0.828s)    Speed 81.5 samples/s    Data 0.000s (0.027s)    Loss 0.78632 (0.81888)  Accuracy@1 70.312 (63.318)  Accuracy@5 100.000 (100.000)    
Epoch: [21][40/365] Time 0.787s (0.809s)    Speed 81.4 samples/s    Data 0.000s (0.014s)    Loss 0.97010 (0.82906)  Accuracy@1 65.625 (63.148)  Accuracy@5 100.000 (100.000)    
Epoch: [21][60/365] Time 0.786s (0.802s)    Speed 81.4 samples/s    Data 0.000s (0.009s)    Loss 0.77266 (0.83094)  Accuracy@1 60.938 (62.654)  Accuracy@5 100.000 (100.000)    
Epoch: [21][80/365] Time 0.787s (0.799s)    Speed 81.3 samples/s    Data 0.000s (0.007s)    Loss 0.74939 (0.82479)  Accuracy@1 71.875 (63.368)  Accuracy@5 100.000 (100.000)    
Epoch: [21][100/365]    Time 0.786s (0.797s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.70526 (0.82065)  Accuracy@1 70.312 (63.320)  Accuracy@5 100.000 (100.000)    
Epoch: [21][120/365]    Time 0.785s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.72473 (0.82751)  Accuracy@1 64.062 (63.068)  Accuracy@5 100.000 (100.000)    
Epoch: [21][140/365]    Time 0.793s (0.794s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.88552 (0.82591)  Accuracy@1 57.812 (63.121)  Accuracy@5 100.000 (100.000)    
Epoch: [21][160/365]    Time 0.792s (0.793s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.70181 (0.82123)  Accuracy@1 70.312 (63.141)  Accuracy@5 100.000 (100.000)    
Epoch: [21][180/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.66747 (0.82518)  Accuracy@1 70.312 (63.044)  Accuracy@5 100.000 (100.000)    
Epoch: [21][200/365]    Time 0.786s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.91923 (0.82675)  Accuracy@1 53.125 (63.176)  Accuracy@5 100.000 (100.000)    
Epoch: [21][220/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.77632 (0.82598)  Accuracy@1 68.750 (63.200)  Accuracy@5 100.000 (100.000)    
Epoch: [21][240/365]    Time 0.789s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.75986 (0.82838)  Accuracy@1 64.062 (63.129)  Accuracy@5 100.000 (100.000)    
Epoch: [21][260/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.87376 (0.82878)  Accuracy@1 67.188 (63.021)  Accuracy@5 100.000 (100.000)    
Epoch: [21][280/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.74468 (0.82713)  Accuracy@1 68.750 (63.123)  Accuracy@5 100.000 (100.000)    
Epoch: [21][300/365]    Time 0.793s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 1.02452 (0.83013)  Accuracy@1 59.375 (62.983)  Accuracy@5 100.000 (100.000)    
Epoch: [21][320/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.76972 (0.83119)  Accuracy@1 60.938 (62.836)  Accuracy@5 100.000 (100.000)    
Epoch: [21][340/365]    Time 0.794s (0.791s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 1.10592 (0.83164)  Accuracy@1 56.250 (62.812)  Accuracy@5 100.000 (100.000)    
Epoch: [21][360/365]    Time 0.792s (0.790s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.74655 (0.83042)  Accuracy@1 65.625 (62.803)  Accuracy@5 100.000 (100.000)    
Test: Time 0.348    Loss 0.8789 Error@1 39.240  Error@5 0.000   Accuracy@1 60.760   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [22][0/365]  Time 1.398s (1.398s)    Speed 45.8 samples/s    Data 0.550s (0.550s)    Loss 0.91551 (0.91551)  Accuracy@1 62.500 (62.500)  Accuracy@5 100.000 (100.000)    
Epoch: [22][20/365] Time 0.797s (0.831s)    Speed 80.3 samples/s    Data 0.000s (0.027s)    Loss 0.75083 (0.79852)  Accuracy@1 68.750 (63.839)  Accuracy@5 100.000 (100.000)    
Epoch: [22][40/365] Time 0.789s (0.812s)    Speed 81.1 samples/s    Data 0.000s (0.014s)    Loss 0.86910 (0.80915)  Accuracy@1 64.062 (63.948)  Accuracy@5 100.000 (100.000)    
Epoch: [22][60/365] Time 0.791s (0.804s)    Speed 80.9 samples/s    Data 0.000s (0.009s)    Loss 0.75801 (0.81152)  Accuracy@1 62.500 (63.243)  Accuracy@5 100.000 (100.000)    
Epoch: [22][80/365] Time 0.783s (0.800s)    Speed 81.7 samples/s    Data 0.000s (0.007s)    Loss 0.85896 (0.81835)  Accuracy@1 64.062 (63.407)  Accuracy@5 100.000 (100.000)    
Epoch: [22][100/365]    Time 0.789s (0.798s)    Speed 81.1 samples/s    Data 0.000s (0.006s)    Loss 0.86067 (0.82152)  Accuracy@1 53.125 (63.227)  Accuracy@5 100.000 (100.000)    
Epoch: [22][120/365]    Time 0.787s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.98750 (0.81631)  Accuracy@1 54.688 (63.146)  Accuracy@5 100.000 (100.000)    
Epoch: [22][140/365]    Time 0.787s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.69276 (0.82249)  Accuracy@1 70.312 (63.121)  Accuracy@5 100.000 (100.000)    
Epoch: [22][160/365]    Time 0.798s (0.795s)    Speed 80.2 samples/s    Data 0.000s (0.004s)    Loss 0.80952 (0.82108)  Accuracy@1 57.812 (62.966)  Accuracy@5 100.000 (100.000)    
Epoch: [22][180/365]    Time 0.783s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.82329 (0.81880)  Accuracy@1 57.812 (63.217)  Accuracy@5 100.000 (100.000)    
Epoch: [22][200/365]    Time 0.784s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.86146 (0.82116)  Accuracy@1 57.812 (62.990)  Accuracy@5 100.000 (100.000)    
Epoch: [22][220/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.76940 (0.82392)  Accuracy@1 68.750 (63.002)  Accuracy@5 100.000 (100.000)    
Epoch: [22][240/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.76505 (0.82330)  Accuracy@1 65.625 (63.148)  Accuracy@5 100.000 (100.000)    
Epoch: [22][260/365]    Time 0.783s (0.792s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.68297 (0.82071)  Accuracy@1 70.312 (63.380)  Accuracy@5 100.000 (100.000)    
Epoch: [22][280/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.75261 (0.82020)  Accuracy@1 65.625 (63.317)  Accuracy@5 100.000 (100.000)    
Epoch: [22][300/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.72043 (0.82111)  Accuracy@1 71.875 (63.325)  Accuracy@5 100.000 (100.000)    
Epoch: [22][320/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.86730 (0.82265)  Accuracy@1 62.500 (63.337)  Accuracy@5 100.000 (100.000)    
Epoch: [22][340/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.86532 (0.82180)  Accuracy@1 62.500 (63.476)  Accuracy@5 100.000 (100.000)    
Epoch: [22][360/365]    Time 0.793s (0.791s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.74392 (0.82366)  Accuracy@1 68.750 (63.500)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.8564 Error@1 41.293  Error@5 0.000   Accuracy@1 58.707   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [23][0/365]  Time 1.386s (1.386s)    Speed 46.2 samples/s    Data 0.533s (0.533s)    Loss 0.82676 (0.82676)  Accuracy@1 59.375 (59.375)  Accuracy@5 100.000 (100.000)    
Epoch: [23][20/365] Time 0.787s (0.830s)    Speed 81.3 samples/s    Data 0.000s (0.026s)    Loss 0.84060 (0.84108)  Accuracy@1 51.562 (61.979)  Accuracy@5 100.000 (100.000)    
Epoch: [23][40/365] Time 0.785s (0.809s)    Speed 81.5 samples/s    Data 0.000s (0.013s)    Loss 0.66330 (0.81235)  Accuracy@1 76.562 (62.881)  Accuracy@5 100.000 (100.000)    
Epoch: [23][60/365] Time 0.784s (0.802s)    Speed 81.6 samples/s    Data 0.000s (0.009s)    Loss 0.82610 (0.81404)  Accuracy@1 64.062 (63.422)  Accuracy@5 100.000 (100.000)    
Epoch: [23][80/365] Time 0.798s (0.799s)    Speed 80.2 samples/s    Data 0.000s (0.007s)    Loss 0.66556 (0.81217)  Accuracy@1 68.750 (63.542)  Accuracy@5 100.000 (100.000)    
Epoch: [23][100/365]    Time 0.787s (0.797s)    Speed 81.3 samples/s    Data 0.000s (0.006s)    Loss 0.94663 (0.81634)  Accuracy@1 56.250 (63.614)  Accuracy@5 100.000 (100.000)    
Epoch: [23][120/365]    Time 0.784s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.83852 (0.81530)  Accuracy@1 59.375 (63.598)  Accuracy@5 100.000 (100.000)    
Epoch: [23][140/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.80943 (0.81365)  Accuracy@1 62.500 (63.442)  Accuracy@5 100.000 (100.000)    
Epoch: [23][160/365]    Time 0.782s (0.794s)    Speed 81.8 samples/s    Data 0.000s (0.004s)    Loss 0.88827 (0.81762)  Accuracy@1 60.938 (63.276)  Accuracy@5 100.000 (100.000)    
Epoch: [23][180/365]    Time 0.792s (0.793s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.85123 (0.81572)  Accuracy@1 60.938 (63.277)  Accuracy@5 100.000 (100.000)    
Epoch: [23][200/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.89549 (0.81472)  Accuracy@1 54.688 (63.417)  Accuracy@5 100.000 (100.000)    
Epoch: [23][220/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.87944 (0.81274)  Accuracy@1 70.312 (63.462)  Accuracy@5 100.000 (100.000)    
Epoch: [23][240/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.84380 (0.81610)  Accuracy@1 59.375 (63.142)  Accuracy@5 100.000 (100.000)    
Epoch: [23][260/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.81763 (0.81797)  Accuracy@1 62.500 (63.027)  Accuracy@5 100.000 (100.000)    
Epoch: [23][280/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.77999 (0.81706)  Accuracy@1 68.750 (63.190)  Accuracy@5 100.000 (100.000)    
Epoch: [23][300/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.90835 (0.81383)  Accuracy@1 60.938 (63.382)  Accuracy@5 100.000 (100.000)    
Epoch: [23][320/365]    Time 0.789s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.75128 (0.81409)  Accuracy@1 68.750 (63.474)  Accuracy@5 100.000 (100.000)    
Epoch: [23][340/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.72383 (0.81302)  Accuracy@1 68.750 (63.517)  Accuracy@5 100.000 (100.000)    
Epoch: [23][360/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.89480 (0.81295)  Accuracy@1 59.375 (63.552)  Accuracy@5 100.000 (100.000)    
Test: Time 0.341    Loss 0.8010 Error@1 36.137  Error@5 0.000   Accuracy@1 63.863   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [24][0/365]  Time 1.429s (1.429s)    Speed 44.8 samples/s    Data 0.565s (0.565s)    Loss 0.82380 (0.82380)  Accuracy@1 60.938 (60.938)  Accuracy@5 100.000 (100.000)    
Epoch: [24][20/365] Time 0.788s (0.828s)    Speed 81.3 samples/s    Data 0.000s (0.027s)    Loss 0.89604 (0.82579)  Accuracy@1 54.688 (61.012)  Accuracy@5 100.000 (100.000)    
Epoch: [24][40/365] Time 0.787s (0.810s)    Speed 81.3 samples/s    Data 0.000s (0.014s)    Loss 0.68369 (0.80936)  Accuracy@1 68.750 (63.186)  Accuracy@5 100.000 (100.000)    
Epoch: [24][60/365] Time 0.788s (0.802s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.69849 (0.80478)  Accuracy@1 67.188 (63.576)  Accuracy@5 100.000 (100.000)    
Epoch: [24][80/365] Time 0.793s (0.799s)    Speed 80.7 samples/s    Data 0.000s (0.007s)    Loss 0.73982 (0.80186)  Accuracy@1 60.938 (63.754)  Accuracy@5 100.000 (100.000)    
Epoch: [24][100/365]    Time 0.784s (0.797s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 1.07346 (0.80822)  Accuracy@1 53.125 (63.629)  Accuracy@5 100.000 (100.000)    
Epoch: [24][120/365]    Time 0.787s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.86860 (0.80723)  Accuracy@1 59.375 (63.417)  Accuracy@5 100.000 (100.000)    
Epoch: [24][140/365]    Time 0.790s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.88351 (0.81434)  Accuracy@1 65.625 (63.453)  Accuracy@5 100.000 (100.000)    
Epoch: [24][160/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.68690 (0.81255)  Accuracy@1 67.188 (63.354)  Accuracy@5 100.000 (100.000)    
Epoch: [24][180/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.81012 (0.81376)  Accuracy@1 60.938 (63.320)  Accuracy@5 100.000 (100.000)    
Epoch: [24][200/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.69959 (0.80719)  Accuracy@1 68.750 (63.557)  Accuracy@5 100.000 (100.000)    
Epoch: [24][220/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.75698 (0.80385)  Accuracy@1 64.062 (63.766)  Accuracy@5 100.000 (100.000)    
Epoch: [24][240/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.78805 (0.80687)  Accuracy@1 71.875 (63.797)  Accuracy@5 100.000 (100.000)    
Epoch: [24][260/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.95349 (0.80659)  Accuracy@1 65.625 (63.847)  Accuracy@5 100.000 (100.000)    
Epoch: [24][280/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.76152 (0.80467)  Accuracy@1 67.188 (63.935)  Accuracy@5 100.000 (100.000)    
Epoch: [24][300/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.85586 (0.80475)  Accuracy@1 68.750 (64.083)  Accuracy@5 100.000 (100.000)    
Epoch: [24][320/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.84975 (0.80404)  Accuracy@1 53.125 (64.277)  Accuracy@5 100.000 (100.000)    
Epoch: [24][340/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.71279 (0.80160)  Accuracy@1 71.875 (64.484)  Accuracy@5 100.000 (100.000)    
Epoch: [24][360/365]    Time 0.784s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.96120 (0.80138)  Accuracy@1 65.625 (64.604)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.8192 Error@1 36.793  Error@5 0.000   Accuracy@1 63.207   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [25][0/365]  Time 1.423s (1.423s)    Speed 45.0 samples/s    Data 0.560s (0.560s)    Loss 0.77657 (0.77657)  Accuracy@1 57.812 (57.812)  Accuracy@5 100.000 (100.000)    
Epoch: [25][20/365] Time 0.786s (0.829s)    Speed 81.4 samples/s    Data 0.000s (0.027s)    Loss 0.65111 (0.75050)  Accuracy@1 70.312 (67.634)  Accuracy@5 100.000 (100.000)    
Epoch: [25][40/365] Time 0.784s (0.809s)    Speed 81.7 samples/s    Data 0.000s (0.014s)    Loss 0.68433 (0.77843)  Accuracy@1 76.562 (65.854)  Accuracy@5 100.000 (100.000)    
Epoch: [25][60/365] Time 0.784s (0.802s)    Speed 81.6 samples/s    Data 0.000s (0.010s)    Loss 0.70119 (0.78979)  Accuracy@1 67.188 (64.703)  Accuracy@5 100.000 (100.000)    
Epoch: [25][80/365] Time 0.792s (0.798s)    Speed 80.8 samples/s    Data 0.000s (0.007s)    Loss 0.76664 (0.79285)  Accuracy@1 70.312 (64.660)  Accuracy@5 100.000 (100.000)    
Epoch: [25][100/365]    Time 0.785s (0.796s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.70920 (0.79336)  Accuracy@1 62.500 (64.867)  Accuracy@5 100.000 (100.000)    
Epoch: [25][120/365]    Time 0.785s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.72665 (0.79273)  Accuracy@1 71.875 (64.850)  Accuracy@5 100.000 (100.000)    
Epoch: [25][140/365]    Time 0.783s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.88816 (0.79629)  Accuracy@1 65.625 (64.506)  Accuracy@5 100.000 (100.000)    
Epoch: [25][160/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.66121 (0.79506)  Accuracy@1 75.000 (64.587)  Accuracy@5 100.000 (100.000)    
Epoch: [25][180/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.84314 (0.79254)  Accuracy@1 57.812 (64.451)  Accuracy@5 100.000 (100.000)    
Epoch: [25][200/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.74684 (0.79490)  Accuracy@1 67.188 (64.373)  Accuracy@5 100.000 (100.000)    
Epoch: [25][220/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.71911 (0.79228)  Accuracy@1 60.938 (64.678)  Accuracy@5 100.000 (100.000)    
Epoch: [25][240/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.99506 (0.79386)  Accuracy@1 64.062 (64.685)  Accuracy@5 100.000 (100.000)    
Epoch: [25][260/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.63714 (0.79403)  Accuracy@1 70.312 (64.631)  Accuracy@5 100.000 (100.000)    
Epoch: [25][280/365]    Time 0.787s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.87315 (0.79377)  Accuracy@1 64.062 (64.546)  Accuracy@5 100.000 (100.000)    
Epoch: [25][300/365]    Time 0.795s (0.791s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.81289 (0.79443)  Accuracy@1 64.062 (64.576)  Accuracy@5 100.000 (100.000)    
Epoch: [25][320/365]    Time 0.784s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.61012 (0.79383)  Accuracy@1 78.125 (64.637)  Accuracy@5 100.000 (100.000)    
Epoch: [25][340/365]    Time 0.787s (0.790s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.76117 (0.79265)  Accuracy@1 70.312 (64.796)  Accuracy@5 100.000 (100.000)    
Epoch: [25][360/365]    Time 0.786s (0.790s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.89439 (0.79235)  Accuracy@1 65.625 (64.868)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.8044 Error@1 37.601  Error@5 0.000   Accuracy@1 62.399   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [26][0/365]  Time 1.430s (1.430s)    Speed 44.7 samples/s    Data 0.574s (0.574s)    Loss 0.79582 (0.79582)  Accuracy@1 68.750 (68.750)  Accuracy@5 100.000 (100.000)    
Epoch: [26][20/365] Time 0.796s (0.826s)    Speed 80.4 samples/s    Data 0.000s (0.028s)    Loss 0.86344 (0.79302)  Accuracy@1 57.812 (64.211)  Accuracy@5 100.000 (100.000)    
Epoch: [26][40/365] Time 0.786s (0.808s)    Speed 81.4 samples/s    Data 0.000s (0.014s)    Loss 0.71418 (0.79162)  Accuracy@1 70.312 (65.244)  Accuracy@5 100.000 (100.000)    
Epoch: [26][60/365] Time 0.787s (0.801s)    Speed 81.4 samples/s    Data 0.000s (0.010s)    Loss 0.70591 (0.79317)  Accuracy@1 68.750 (64.882)  Accuracy@5 100.000 (100.000)    
Epoch: [26][80/365] Time 0.790s (0.798s)    Speed 81.0 samples/s    Data 0.000s (0.007s)    Loss 0.81019 (0.78869)  Accuracy@1 65.625 (65.413)  Accuracy@5 100.000 (100.000)    
Epoch: [26][100/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.87919 (0.79226)  Accuracy@1 59.375 (65.300)  Accuracy@5 100.000 (100.000)    
Epoch: [26][120/365]    Time 0.788s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.005s)    Loss 0.84152 (0.79030)  Accuracy@1 62.500 (65.457)  Accuracy@5 100.000 (100.000)    
Epoch: [26][140/365]    Time 0.786s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.73674 (0.79431)  Accuracy@1 76.562 (65.381)  Accuracy@5 100.000 (100.000)    
Epoch: [26][160/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.81155 (0.79363)  Accuracy@1 65.625 (65.208)  Accuracy@5 100.000 (100.000)    
Epoch: [26][180/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.85665 (0.79316)  Accuracy@1 56.250 (65.323)  Accuracy@5 100.000 (100.000)    
Epoch: [26][200/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.75212 (0.79050)  Accuracy@1 64.062 (65.617)  Accuracy@5 100.000 (100.000)    
Epoch: [26][220/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.77935 (0.78789)  Accuracy@1 64.062 (65.604)  Accuracy@5 100.000 (100.000)    
Epoch: [26][240/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.91254 (0.78696)  Accuracy@1 64.062 (65.541)  Accuracy@5 100.000 (100.000)    
Epoch: [26][260/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.74479 (0.78651)  Accuracy@1 59.375 (65.505)  Accuracy@5 100.000 (100.000)    
Epoch: [26][280/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.74843 (0.78437)  Accuracy@1 73.438 (65.664)  Accuracy@5 100.000 (100.000)    
Epoch: [26][300/365]    Time 0.792s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.79195 (0.78412)  Accuracy@1 65.625 (65.672)  Accuracy@5 100.000 (100.000)    
Epoch: [26][320/365]    Time 0.795s (0.791s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.90645 (0.78583)  Accuracy@1 64.062 (65.640)  Accuracy@5 100.000 (100.000)    
Epoch: [26][340/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.82158 (0.78388)  Accuracy@1 65.625 (65.744)  Accuracy@5 100.000 (100.000)    
Epoch: [26][360/365]    Time 0.787s (0.790s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.73207 (0.78411)  Accuracy@1 70.312 (65.733)  Accuracy@5 100.000 (100.000)    
Test: Time 0.341    Loss 0.8105 Error@1 36.181  Error@5 0.000   Accuracy@1 63.819   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [27][0/365]  Time 1.443s (1.443s)    Speed 44.3 samples/s    Data 0.599s (0.599s)    Loss 0.79809 (0.79809)  Accuracy@1 62.500 (62.500)  Accuracy@5 100.000 (100.000)    
Epoch: [27][20/365] Time 0.790s (0.827s)    Speed 81.0 samples/s    Data 0.000s (0.029s)    Loss 1.03220 (0.81674)  Accuracy@1 57.812 (65.253)  Accuracy@5 100.000 (100.000)    
Epoch: [27][40/365] Time 0.790s (0.809s)    Speed 81.0 samples/s    Data 0.000s (0.015s)    Loss 0.87434 (0.80264)  Accuracy@1 62.500 (65.434)  Accuracy@5 100.000 (100.000)    
Epoch: [27][60/365] Time 0.792s (0.803s)    Speed 80.8 samples/s    Data 0.000s (0.010s)    Loss 0.79093 (0.78742)  Accuracy@1 57.812 (65.804)  Accuracy@5 100.000 (100.000)    
Epoch: [27][80/365] Time 0.786s (0.800s)    Speed 81.4 samples/s    Data 0.000s (0.008s)    Loss 0.86084 (0.77807)  Accuracy@1 54.688 (66.223)  Accuracy@5 100.000 (100.000)    
Epoch: [27][100/365]    Time 0.799s (0.798s)    Speed 80.1 samples/s    Data 0.000s (0.006s)    Loss 0.86929 (0.77782)  Accuracy@1 65.625 (66.058)  Accuracy@5 100.000 (100.000)    
Epoch: [27][120/365]    Time 0.792s (0.796s)    Speed 80.8 samples/s    Data 0.000s (0.005s)    Loss 0.59044 (0.77651)  Accuracy@1 78.125 (66.180)  Accuracy@5 100.000 (100.000)    
Epoch: [27][140/365]    Time 0.787s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.73870 (0.77637)  Accuracy@1 71.875 (66.124)  Accuracy@5 100.000 (100.000)    
Epoch: [27][160/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.68088 (0.77382)  Accuracy@1 75.000 (66.198)  Accuracy@5 100.000 (100.000)    
Epoch: [27][180/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.80204 (0.77180)  Accuracy@1 56.250 (66.316)  Accuracy@5 100.000 (100.000)    
Epoch: [27][200/365]    Time 0.792s (0.794s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.76916 (0.77376)  Accuracy@1 68.750 (66.270)  Accuracy@5 100.000 (100.000)    
Epoch: [27][220/365]    Time 0.788s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.86912 (0.77478)  Accuracy@1 67.188 (66.184)  Accuracy@5 100.000 (100.000)    
Epoch: [27][240/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.74935 (0.77540)  Accuracy@1 64.062 (66.040)  Accuracy@5 100.000 (100.000)    
Epoch: [27][260/365]    Time 0.791s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.86711 (0.77626)  Accuracy@1 59.375 (65.924)  Accuracy@5 100.000 (100.000)    
Epoch: [27][280/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.64174 (0.77274)  Accuracy@1 68.750 (66.053)  Accuracy@5 100.000 (100.000)    
Epoch: [27][300/365]    Time 0.787s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.71230 (0.77343)  Accuracy@1 73.438 (66.056)  Accuracy@5 100.000 (100.000)    
Epoch: [27][320/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.86542 (0.77351)  Accuracy@1 71.875 (66.083)  Accuracy@5 100.000 (100.000)    
Epoch: [27][340/365]    Time 0.794s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.84122 (0.77376)  Accuracy@1 62.500 (66.097)  Accuracy@5 100.000 (100.000)    
Epoch: [27][360/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.77395 (0.77363)  Accuracy@1 64.062 (66.110)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.7666 Error@1 33.712  Error@5 0.000   Accuracy@1 66.288   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [28][0/365]  Time 1.434s (1.434s)    Speed 44.6 samples/s    Data 0.587s (0.587s)    Loss 0.85820 (0.85820)  Accuracy@1 67.188 (67.188)  Accuracy@5 100.000 (100.000)    
Epoch: [28][20/365] Time 0.789s (0.828s)    Speed 81.1 samples/s    Data 0.000s (0.028s)    Loss 0.79332 (0.74431)  Accuracy@1 73.438 (67.188)  Accuracy@5 100.000 (100.000)    
Epoch: [28][40/365] Time 0.788s (0.810s)    Speed 81.2 samples/s    Data 0.000s (0.015s)    Loss 0.70791 (0.74710)  Accuracy@1 64.062 (66.806)  Accuracy@5 100.000 (100.000)    
Epoch: [28][60/365] Time 0.788s (0.803s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.91092 (0.74669)  Accuracy@1 56.250 (66.419)  Accuracy@5 100.000 (100.000)    
Epoch: [28][80/365] Time 0.787s (0.800s)    Speed 81.3 samples/s    Data 0.000s (0.008s)    Loss 0.51428 (0.73832)  Accuracy@1 76.562 (66.840)  Accuracy@5 100.000 (100.000)    
Epoch: [28][100/365]    Time 0.787s (0.798s)    Speed 81.3 samples/s    Data 0.000s (0.006s)    Loss 0.72817 (0.73886)  Accuracy@1 70.312 (67.017)  Accuracy@5 100.000 (100.000)    
Epoch: [28][120/365]    Time 0.796s (0.797s)    Speed 80.4 samples/s    Data 0.000s (0.005s)    Loss 0.99524 (0.75722)  Accuracy@1 51.562 (66.335)  Accuracy@5 100.000 (100.000)    
Epoch: [28][140/365]    Time 0.793s (0.796s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 1.01259 (0.75659)  Accuracy@1 54.688 (66.589)  Accuracy@5 100.000 (100.000)    
Epoch: [28][160/365]    Time 0.789s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.87527 (0.76042)  Accuracy@1 60.938 (66.343)  Accuracy@5 100.000 (100.000)    
Epoch: [28][180/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.88328 (0.76242)  Accuracy@1 60.938 (66.497)  Accuracy@5 100.000 (100.000)    
Epoch: [28][200/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.72436 (0.76118)  Accuracy@1 71.875 (66.519)  Accuracy@5 100.000 (100.000)    
Epoch: [28][220/365]    Time 0.788s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.64652 (0.76190)  Accuracy@1 75.000 (66.551)  Accuracy@5 100.000 (100.000)    
Epoch: [28][240/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.66930 (0.76299)  Accuracy@1 65.625 (66.572)  Accuracy@5 100.000 (100.000)    
Epoch: [28][260/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.78920 (0.76544)  Accuracy@1 68.750 (66.553)  Accuracy@5 100.000 (100.000)    
Epoch: [28][280/365]    Time 0.796s (0.793s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 1.11359 (0.76557)  Accuracy@1 54.688 (66.598)  Accuracy@5 100.000 (100.000)    
Epoch: [28][300/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.73068 (0.76852)  Accuracy@1 65.625 (66.523)  Accuracy@5 100.000 (100.000)    
Epoch: [28][320/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.75135 (0.76732)  Accuracy@1 65.625 (66.574)  Accuracy@5 100.000 (100.000)    
Epoch: [28][340/365]    Time 0.798s (0.792s)    Speed 80.2 samples/s    Data 0.000s (0.002s)    Loss 0.69547 (0.76895)  Accuracy@1 71.875 (66.399)  Accuracy@5 100.000 (100.000)    
Epoch: [28][360/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.84034 (0.76976)  Accuracy@1 60.938 (66.382)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.7617 Error@1 34.411  Error@5 0.000   Accuracy@1 65.589   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [29][0/365]  Time 1.460s (1.460s)    Speed 43.8 samples/s    Data 0.603s (0.603s)    Loss 0.89272 (0.89272)  Accuracy@1 68.750 (68.750)  Accuracy@5 100.000 (100.000)    
Epoch: [29][20/365] Time 0.789s (0.831s)    Speed 81.1 samples/s    Data 0.000s (0.029s)    Loss 0.63089 (0.77190)  Accuracy@1 71.875 (66.890)  Accuracy@5 100.000 (100.000)    
Epoch: [29][40/365] Time 0.788s (0.812s)    Speed 81.2 samples/s    Data 0.000s (0.015s)    Loss 0.68039 (0.73941)  Accuracy@1 73.438 (68.178)  Accuracy@5 100.000 (100.000)    
Epoch: [29][60/365] Time 0.787s (0.805s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.58677 (0.73046)  Accuracy@1 73.438 (68.929)  Accuracy@5 100.000 (100.000)    
Epoch: [29][80/365] Time 0.787s (0.800s)    Speed 81.3 samples/s    Data 0.000s (0.008s)    Loss 0.65646 (0.72496)  Accuracy@1 73.438 (68.808)  Accuracy@5 100.000 (100.000)    
Epoch: [29][100/365]    Time 0.784s (0.798s)    Speed 81.6 samples/s    Data 0.000s (0.006s)    Loss 0.75016 (0.72870)  Accuracy@1 67.188 (68.796)  Accuracy@5 100.000 (100.000)    
Epoch: [29][120/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.85451 (0.73004)  Accuracy@1 62.500 (68.737)  Accuracy@5 100.000 (100.000)    
Epoch: [29][140/365]    Time 0.791s (0.795s)    Speed 80.9 samples/s    Data 0.000s (0.005s)    Loss 0.57948 (0.72719)  Accuracy@1 73.438 (68.761)  Accuracy@5 100.000 (100.000)    
Epoch: [29][160/365]    Time 0.782s (0.794s)    Speed 81.8 samples/s    Data 0.000s (0.004s)    Loss 0.76189 (0.73096)  Accuracy@1 67.188 (68.488)  Accuracy@5 100.000 (100.000)    
Epoch: [29][180/365]    Time 0.784s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.79200 (0.73047)  Accuracy@1 65.625 (68.577)  Accuracy@5 100.000 (100.000)    
Epoch: [29][200/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.61126 (0.72810)  Accuracy@1 68.750 (68.618)  Accuracy@5 100.000 (100.000)    
Epoch: [29][220/365]    Time 0.782s (0.792s)    Speed 81.8 samples/s    Data 0.000s (0.003s)    Loss 0.60215 (0.72969)  Accuracy@1 78.125 (68.545)  Accuracy@5 100.000 (100.000)    
Epoch: [29][240/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.64660 (0.72934)  Accuracy@1 70.312 (68.484)  Accuracy@5 100.000 (100.000)    
Epoch: [29][260/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.67494 (0.72944)  Accuracy@1 73.438 (68.505)  Accuracy@5 100.000 (100.000)    
Epoch: [29][280/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.78854 (0.72719)  Accuracy@1 70.312 (68.578)  Accuracy@5 100.000 (100.000)    
Epoch: [29][300/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.77474 (0.72613)  Accuracy@1 68.750 (68.553)  Accuracy@5 100.000 (100.000)    
Epoch: [29][320/365]    Time 0.788s (0.790s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.62504 (0.72546)  Accuracy@1 71.875 (68.604)  Accuracy@5 100.000 (100.000)    
Epoch: [29][340/365]    Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.74558 (0.72619)  Accuracy@1 73.438 (68.631)  Accuracy@5 100.000 (100.000)    
Epoch: [29][360/365]    Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.79224 (0.72614)  Accuracy@1 57.812 (68.599)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.7177 Error@1 31.549  Error@5 0.000   Accuracy@1 68.451   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [30][0/365]  Time 1.512s (1.512s)    Speed 42.3 samples/s    Data 0.654s (0.654s)    Loss 0.70426 (0.70426)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [30][20/365] Time 0.795s (0.829s)    Speed 80.5 samples/s    Data 0.000s (0.032s)    Loss 0.69346 (0.73089)  Accuracy@1 68.750 (68.080)  Accuracy@5 100.000 (100.000)    
Epoch: [30][40/365] Time 0.790s (0.808s)    Speed 81.1 samples/s    Data 0.000s (0.016s)    Loss 0.64077 (0.72478)  Accuracy@1 70.312 (68.788)  Accuracy@5 100.000 (100.000)    
Epoch: [30][60/365] Time 0.784s (0.801s)    Speed 81.6 samples/s    Data 0.000s (0.011s)    Loss 0.80847 (0.72396)  Accuracy@1 65.625 (68.929)  Accuracy@5 100.000 (100.000)    
Epoch: [30][80/365] Time 0.786s (0.798s)    Speed 81.4 samples/s    Data 0.000s (0.008s)    Loss 0.68341 (0.72879)  Accuracy@1 73.438 (68.692)  Accuracy@5 100.000 (100.000)    
Epoch: [30][100/365]    Time 0.783s (0.796s)    Speed 81.8 samples/s    Data 0.000s (0.007s)    Loss 0.66263 (0.72532)  Accuracy@1 75.000 (68.781)  Accuracy@5 100.000 (100.000)    
Epoch: [30][120/365]    Time 0.786s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.65487 (0.72410)  Accuracy@1 68.750 (68.892)  Accuracy@5 100.000 (100.000)    
Epoch: [30][140/365]    Time 0.782s (0.794s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.79643 (0.72335)  Accuracy@1 62.500 (68.816)  Accuracy@5 100.000 (100.000)    
Epoch: [30][160/365]    Time 0.791s (0.793s)    Speed 80.9 samples/s    Data 0.000s (0.004s)    Loss 0.84483 (0.72363)  Accuracy@1 64.062 (69.031)  Accuracy@5 100.000 (100.000)    
Epoch: [30][180/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.75268 (0.72276)  Accuracy@1 62.500 (68.974)  Accuracy@5 100.000 (100.000)    
Epoch: [30][200/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.68784 (0.72117)  Accuracy@1 67.188 (68.843)  Accuracy@5 100.000 (100.000)    
Epoch: [30][220/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.72061 (0.72217)  Accuracy@1 67.188 (68.771)  Accuracy@5 100.000 (100.000)    
Epoch: [30][240/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.76781 (0.71876)  Accuracy@1 64.062 (68.854)  Accuracy@5 100.000 (100.000)    
Epoch: [30][260/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.82479 (0.71910)  Accuracy@1 51.562 (68.762)  Accuracy@5 100.000 (100.000)    
Epoch: [30][280/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.84512 (0.71717)  Accuracy@1 64.062 (68.856)  Accuracy@5 100.000 (100.000)    
Epoch: [30][300/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.57701 (0.71752)  Accuracy@1 78.125 (68.823)  Accuracy@5 100.000 (100.000)    
Epoch: [30][320/365]    Time 0.792s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.60154 (0.71442)  Accuracy@1 71.875 (68.872)  Accuracy@5 100.000 (100.000)    
Epoch: [30][340/365]    Time 0.794s (0.790s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.66647 (0.71375)  Accuracy@1 67.188 (68.897)  Accuracy@5 100.000 (100.000)    
Epoch: [30][360/365]    Time 0.790s (0.790s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.73759 (0.71499)  Accuracy@1 68.750 (68.767)  Accuracy@5 100.000 (100.000)    
Test: Time 0.339    Loss 0.7154 Error@1 31.899  Error@5 0.000   Accuracy@1 68.101   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [31][0/365]  Time 1.396s (1.396s)    Speed 45.8 samples/s    Data 0.528s (0.528s)    Loss 0.70430 (0.70430)  Accuracy@1 73.438 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [31][20/365] Time 0.783s (0.825s)    Speed 81.7 samples/s    Data 0.000s (0.026s)    Loss 0.65624 (0.71225)  Accuracy@1 71.875 (68.676)  Accuracy@5 100.000 (100.000)    
Epoch: [31][40/365] Time 0.786s (0.807s)    Speed 81.5 samples/s    Data 0.000s (0.013s)    Loss 0.70076 (0.70849)  Accuracy@1 73.438 (69.055)  Accuracy@5 100.000 (100.000)    
Epoch: [31][60/365] Time 0.795s (0.801s)    Speed 80.5 samples/s    Data 0.000s (0.009s)    Loss 0.68098 (0.69784)  Accuracy@1 67.188 (69.826)  Accuracy@5 100.000 (100.000)    
Epoch: [31][80/365] Time 0.787s (0.798s)    Speed 81.4 samples/s    Data 0.000s (0.007s)    Loss 0.77315 (0.69345)  Accuracy@1 67.188 (70.081)  Accuracy@5 100.000 (100.000)    
Epoch: [31][100/365]    Time 0.791s (0.796s)    Speed 80.9 samples/s    Data 0.000s (0.006s)    Loss 0.82427 (0.69801)  Accuracy@1 68.750 (69.740)  Accuracy@5 100.000 (100.000)    
Epoch: [31][120/365]    Time 0.783s (0.795s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.82969 (0.69730)  Accuracy@1 62.500 (69.693)  Accuracy@5 100.000 (100.000)    
Epoch: [31][140/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.82840 (0.70142)  Accuracy@1 65.625 (69.648)  Accuracy@5 100.000 (100.000)    
Epoch: [31][160/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.76597 (0.69653)  Accuracy@1 76.562 (70.050)  Accuracy@5 100.000 (100.000)    
Epoch: [31][180/365]    Time 0.790s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.51468 (0.69660)  Accuracy@1 81.250 (69.872)  Accuracy@5 100.000 (100.000)    
Epoch: [31][200/365]    Time 0.786s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.92529 (0.70193)  Accuracy@1 64.062 (69.753)  Accuracy@5 100.000 (100.000)    
Epoch: [31][220/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.62433 (0.70550)  Accuracy@1 75.000 (69.464)  Accuracy@5 100.000 (100.000)    
Epoch: [31][240/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.55121 (0.70293)  Accuracy@1 75.000 (69.703)  Accuracy@5 100.000 (100.000)    
Epoch: [31][260/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.80246 (0.70260)  Accuracy@1 71.875 (69.582)  Accuracy@5 100.000 (100.000)    
Epoch: [31][280/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.66489 (0.70543)  Accuracy@1 68.750 (69.428)  Accuracy@5 100.000 (100.000)    
Epoch: [31][300/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.66668 (0.70627)  Accuracy@1 68.750 (69.388)  Accuracy@5 100.000 (100.000)    
Epoch: [31][320/365]    Time 0.795s (0.790s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.66586 (0.70705)  Accuracy@1 71.875 (69.339)  Accuracy@5 100.000 (100.000)    
Epoch: [31][340/365]    Time 0.789s (0.790s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.78353 (0.70713)  Accuracy@1 64.062 (69.332)  Accuracy@5 100.000 (100.000)    
Epoch: [31][360/365]    Time 0.786s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.66992 (0.70723)  Accuracy@1 78.125 (69.304)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.7164 Error@1 31.899  Error@5 0.000   Accuracy@1 68.101   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [32][0/365]  Time 1.438s (1.438s)    Speed 44.5 samples/s    Data 0.597s (0.597s)    Loss 0.71655 (0.71655)  Accuracy@1 62.500 (62.500)  Accuracy@5 100.000 (100.000)    
Epoch: [32][20/365] Time 0.793s (0.827s)    Speed 80.7 samples/s    Data 0.000s (0.029s)    Loss 0.63786 (0.70536)  Accuracy@1 71.875 (70.461)  Accuracy@5 100.000 (100.000)    
Epoch: [32][40/365] Time 0.791s (0.808s)    Speed 80.9 samples/s    Data 0.000s (0.015s)    Loss 0.89865 (0.70421)  Accuracy@1 59.375 (69.970)  Accuracy@5 100.000 (100.000)    
Epoch: [32][60/365] Time 0.794s (0.801s)    Speed 80.6 samples/s    Data 0.000s (0.010s)    Loss 0.91154 (0.70181)  Accuracy@1 68.750 (69.467)  Accuracy@5 100.000 (100.000)    
Epoch: [32][80/365] Time 0.792s (0.798s)    Speed 80.8 samples/s    Data 0.000s (0.008s)    Loss 0.72213 (0.69659)  Accuracy@1 71.875 (69.715)  Accuracy@5 100.000 (100.000)    
Epoch: [32][100/365]    Time 0.792s (0.796s)    Speed 80.8 samples/s    Data 0.000s (0.006s)    Loss 0.64933 (0.70520)  Accuracy@1 65.625 (69.276)  Accuracy@5 100.000 (100.000)    
Epoch: [32][120/365]    Time 0.783s (0.795s)    Speed 81.7 samples/s    Data 0.000s (0.005s)    Loss 0.58372 (0.70508)  Accuracy@1 71.875 (69.344)  Accuracy@5 100.000 (100.000)    
Epoch: [32][140/365]    Time 0.786s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.53298 (0.70159)  Accuracy@1 70.312 (69.515)  Accuracy@5 100.000 (100.000)    
Epoch: [32][160/365]    Time 0.788s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.70347 (0.70382)  Accuracy@1 71.875 (69.449)  Accuracy@5 100.000 (100.000)    
Epoch: [32][180/365]    Time 0.794s (0.793s)    Speed 80.6 samples/s    Data 0.000s (0.004s)    Loss 0.75724 (0.70611)  Accuracy@1 59.375 (69.182)  Accuracy@5 100.000 (100.000)    
Epoch: [32][200/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.61611 (0.70456)  Accuracy@1 67.188 (69.380)  Accuracy@5 100.000 (100.000)    
Epoch: [32][220/365]    Time 0.799s (0.792s)    Speed 80.1 samples/s    Data 0.000s (0.003s)    Loss 0.67666 (0.70431)  Accuracy@1 71.875 (69.478)  Accuracy@5 100.000 (100.000)    
Epoch: [32][240/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.74095 (0.70643)  Accuracy@1 71.875 (69.197)  Accuracy@5 100.000 (100.000)    
Epoch: [32][260/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.61881 (0.70716)  Accuracy@1 73.438 (69.121)  Accuracy@5 100.000 (100.000)    
Epoch: [32][280/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.57746 (0.70521)  Accuracy@1 71.875 (69.284)  Accuracy@5 100.000 (100.000)    
Epoch: [32][300/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.68298 (0.70328)  Accuracy@1 65.625 (69.316)  Accuracy@5 100.000 (100.000)    
Epoch: [32][320/365]    Time 0.796s (0.792s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 0.75266 (0.70308)  Accuracy@1 62.500 (69.208)  Accuracy@5 100.000 (100.000)    
Epoch: [32][340/365]    Time 0.796s (0.792s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 0.66377 (0.70250)  Accuracy@1 79.688 (69.282)  Accuracy@5 100.000 (100.000)    
Epoch: [32][360/365]    Time 0.799s (0.791s)    Speed 80.1 samples/s    Data 0.000s (0.002s)    Loss 0.64274 (0.70365)  Accuracy@1 71.875 (69.256)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.7137 Error@1 31.702  Error@5 0.000   Accuracy@1 68.298   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [33][0/365]  Time 1.436s (1.436s)    Speed 44.6 samples/s    Data 0.584s (0.584s)    Loss 0.60017 (0.60017)  Accuracy@1 75.000 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [33][20/365] Time 0.787s (0.833s)    Speed 81.3 samples/s    Data 0.000s (0.028s)    Loss 0.68082 (0.71707)  Accuracy@1 71.875 (69.048)  Accuracy@5 100.000 (100.000)    
Epoch: [33][40/365] Time 0.792s (0.812s)    Speed 80.8 samples/s    Data 0.000s (0.015s)    Loss 0.60108 (0.69473)  Accuracy@1 70.312 (69.322)  Accuracy@5 100.000 (100.000)    
Epoch: [33][60/365] Time 0.788s (0.805s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.68127 (0.69555)  Accuracy@1 73.438 (69.672)  Accuracy@5 100.000 (100.000)    
Epoch: [33][80/365] Time 0.789s (0.801s)    Speed 81.1 samples/s    Data 0.000s (0.008s)    Loss 0.68694 (0.69317)  Accuracy@1 70.312 (69.599)  Accuracy@5 100.000 (100.000)    
Epoch: [33][100/365]    Time 0.788s (0.799s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.64397 (0.69097)  Accuracy@1 73.438 (69.926)  Accuracy@5 100.000 (100.000)    
Epoch: [33][120/365]    Time 0.786s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.65114 (0.68932)  Accuracy@1 76.562 (69.912)  Accuracy@5 100.000 (100.000)    
Epoch: [33][140/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.68435 (0.69470)  Accuracy@1 65.625 (69.592)  Accuracy@5 100.000 (100.000)    
Epoch: [33][160/365]    Time 0.789s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.69780 (0.69239)  Accuracy@1 65.625 (69.662)  Accuracy@5 100.000 (100.000)    
Epoch: [33][180/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.66345 (0.69492)  Accuracy@1 68.750 (69.467)  Accuracy@5 100.000 (100.000)    
Epoch: [33][200/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.59729 (0.69286)  Accuracy@1 76.562 (69.675)  Accuracy@5 100.000 (100.000)    
Epoch: [33][220/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.71319 (0.69110)  Accuracy@1 65.625 (69.747)  Accuracy@5 100.000 (100.000)    
Epoch: [33][240/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.65389 (0.69226)  Accuracy@1 79.688 (69.807)  Accuracy@5 100.000 (100.000)    
Epoch: [33][260/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.66017 (0.69372)  Accuracy@1 73.438 (69.726)  Accuracy@5 100.000 (100.000)    
Epoch: [33][280/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.73703 (0.69377)  Accuracy@1 65.625 (69.662)  Accuracy@5 100.000 (100.000)    
Epoch: [33][300/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.75625 (0.69724)  Accuracy@1 68.750 (69.544)  Accuracy@5 100.000 (100.000)    
Epoch: [33][320/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.82962 (0.69888)  Accuracy@1 68.750 (69.553)  Accuracy@5 100.000 (100.000)    
Epoch: [33][340/365]    Time 0.795s (0.793s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.66245 (0.70035)  Accuracy@1 71.875 (69.547)  Accuracy@5 100.000 (100.000)    
Epoch: [33][360/365]    Time 0.794s (0.793s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.66917 (0.70019)  Accuracy@1 73.438 (69.607)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.7127 Error@1 31.549  Error@5 0.000   Accuracy@1 68.451   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [34][0/365]  Time 1.455s (1.455s)    Speed 44.0 samples/s    Data 0.598s (0.598s)    Loss 0.89467 (0.89467)  Accuracy@1 53.125 (53.125)  Accuracy@5 100.000 (100.000)    
Epoch: [34][20/365] Time 0.790s (0.831s)    Speed 81.0 samples/s    Data 0.000s (0.029s)    Loss 0.73945 (0.73763)  Accuracy@1 65.625 (68.378)  Accuracy@5 100.000 (100.000)    
Epoch: [34][40/365] Time 0.785s (0.811s)    Speed 81.5 samples/s    Data 0.000s (0.015s)    Loss 0.67374 (0.72187)  Accuracy@1 64.062 (68.788)  Accuracy@5 100.000 (100.000)    
Epoch: [34][60/365] Time 0.789s (0.804s)    Speed 81.1 samples/s    Data 0.000s (0.010s)    Loss 0.77776 (0.71762)  Accuracy@1 60.938 (68.929)  Accuracy@5 100.000 (100.000)    
Epoch: [34][80/365] Time 0.795s (0.801s)    Speed 80.5 samples/s    Data 0.000s (0.008s)    Loss 0.50172 (0.70579)  Accuracy@1 81.250 (69.425)  Accuracy@5 100.000 (100.000)    
Epoch: [34][100/365]    Time 0.791s (0.799s)    Speed 80.9 samples/s    Data 0.000s (0.006s)    Loss 0.60485 (0.69537)  Accuracy@1 76.562 (69.848)  Accuracy@5 100.000 (100.000)    
Epoch: [34][120/365]    Time 0.800s (0.798s)    Speed 80.0 samples/s    Data 0.000s (0.005s)    Loss 0.63139 (0.69282)  Accuracy@1 75.000 (69.977)  Accuracy@5 100.000 (100.000)    
Epoch: [34][140/365]    Time 0.784s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.58891 (0.69323)  Accuracy@1 76.562 (69.991)  Accuracy@5 100.000 (100.000)    
Epoch: [34][160/365]    Time 0.790s (0.796s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.63022 (0.69194)  Accuracy@1 79.688 (70.002)  Accuracy@5 100.000 (100.000)    
Epoch: [34][180/365]    Time 0.785s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.65787 (0.69402)  Accuracy@1 71.875 (69.984)  Accuracy@5 100.000 (100.000)    
Epoch: [34][200/365]    Time 0.789s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.66956 (0.69482)  Accuracy@1 67.188 (69.924)  Accuracy@5 100.000 (100.000)    
Epoch: [34][220/365]    Time 0.798s (0.794s)    Speed 80.2 samples/s    Data 0.000s (0.003s)    Loss 0.68942 (0.69827)  Accuracy@1 65.625 (69.754)  Accuracy@5 100.000 (100.000)    
Epoch: [34][240/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.68271 (0.69827)  Accuracy@1 64.062 (69.742)  Accuracy@5 100.000 (100.000)    
Epoch: [34][260/365]    Time 0.785s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.63664 (0.69537)  Accuracy@1 73.438 (69.905)  Accuracy@5 100.000 (100.000)    
Epoch: [34][280/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.61000 (0.69536)  Accuracy@1 73.438 (69.862)  Accuracy@5 100.000 (100.000)    
Epoch: [34][300/365]    Time 0.783s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.63278 (0.69421)  Accuracy@1 79.688 (69.913)  Accuracy@5 100.000 (100.000)    
Epoch: [34][320/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.72801 (0.69649)  Accuracy@1 73.438 (69.933)  Accuracy@5 100.000 (100.000)    
Epoch: [34][340/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.76813 (0.69565)  Accuracy@1 70.312 (69.946)  Accuracy@5 100.000 (100.000)    
Epoch: [34][360/365]    Time 0.783s (0.792s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.66564 (0.69582)  Accuracy@1 75.000 (69.971)  Accuracy@5 100.000 (100.000)    
Test: Time 0.336    Loss 0.7208 Error@1 31.265  Error@5 0.000   Accuracy@1 68.735   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [35][0/365]  Time 1.420s (1.420s)    Speed 45.1 samples/s    Data 0.546s (0.546s)    Loss 0.88133 (0.88133)  Accuracy@1 65.625 (65.625)  Accuracy@5 100.000 (100.000)    
Epoch: [35][20/365] Time 0.787s (0.828s)    Speed 81.3 samples/s    Data 0.000s (0.026s)    Loss 0.65141 (0.69686)  Accuracy@1 71.875 (71.057)  Accuracy@5 100.000 (100.000)    
Epoch: [35][40/365] Time 0.788s (0.809s)    Speed 81.2 samples/s    Data 0.000s (0.014s)    Loss 0.72105 (0.68795)  Accuracy@1 68.750 (71.456)  Accuracy@5 100.000 (100.000)    
Epoch: [35][60/365] Time 0.784s (0.802s)    Speed 81.7 samples/s    Data 0.000s (0.009s)    Loss 0.78623 (0.69439)  Accuracy@1 67.188 (70.466)  Accuracy@5 100.000 (100.000)    
Epoch: [35][80/365] Time 0.787s (0.798s)    Speed 81.3 samples/s    Data 0.000s (0.007s)    Loss 0.51709 (0.69080)  Accuracy@1 82.812 (70.679)  Accuracy@5 100.000 (100.000)    
Epoch: [35][100/365]    Time 0.789s (0.797s)    Speed 81.1 samples/s    Data 0.000s (0.006s)    Loss 0.74881 (0.69525)  Accuracy@1 76.562 (70.282)  Accuracy@5 100.000 (100.000)    
Epoch: [35][120/365]    Time 0.789s (0.796s)    Speed 81.1 samples/s    Data 0.000s (0.005s)    Loss 0.80398 (0.69297)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [35][140/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.71196 (0.69373)  Accuracy@1 70.312 (70.135)  Accuracy@5 100.000 (100.000)    
Epoch: [35][160/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.71763 (0.69356)  Accuracy@1 68.750 (70.274)  Accuracy@5 100.000 (100.000)    
Epoch: [35][180/365]    Time 0.787s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.84484 (0.69385)  Accuracy@1 62.500 (70.235)  Accuracy@5 100.000 (100.000)    
Epoch: [35][200/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.77679 (0.69480)  Accuracy@1 67.188 (70.351)  Accuracy@5 100.000 (100.000)    
Epoch: [35][220/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.55686 (0.69313)  Accuracy@1 76.562 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [35][240/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.71599 (0.69291)  Accuracy@1 65.625 (70.267)  Accuracy@5 100.000 (100.000)    
Epoch: [35][260/365]    Time 0.791s (0.793s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.67077 (0.69442)  Accuracy@1 68.750 (70.085)  Accuracy@5 100.000 (100.000)    
Epoch: [35][280/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.74957 (0.69456)  Accuracy@1 70.312 (70.118)  Accuracy@5 100.000 (100.000)    
Epoch: [35][300/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.72742 (0.69704)  Accuracy@1 60.938 (69.928)  Accuracy@5 100.000 (100.000)    
Epoch: [35][320/365]    Time 0.793s (0.793s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.82998 (0.69756)  Accuracy@1 67.188 (69.947)  Accuracy@5 100.000 (100.000)    
Epoch: [35][340/365]    Time 0.791s (0.793s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.53029 (0.69821)  Accuracy@1 79.688 (69.859)  Accuracy@5 100.000 (100.000)    
Epoch: [35][360/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.58370 (0.69605)  Accuracy@1 76.562 (69.958)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.7139 Error@1 31.199  Error@5 0.000   Accuracy@1 68.801   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [36][0/365]  Time 1.449s (1.449s)    Speed 44.2 samples/s    Data 0.589s (0.589s)    Loss 0.75456 (0.75456)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [36][20/365] Time 0.794s (0.831s)    Speed 80.6 samples/s    Data 0.000s (0.029s)    Loss 0.96165 (0.74901)  Accuracy@1 59.375 (67.113)  Accuracy@5 100.000 (100.000)    
Epoch: [36][40/365] Time 0.785s (0.811s)    Speed 81.5 samples/s    Data 0.000s (0.015s)    Loss 0.70016 (0.71622)  Accuracy@1 65.625 (69.093)  Accuracy@5 100.000 (100.000)    
Epoch: [36][60/365] Time 0.787s (0.805s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.66742 (0.70117)  Accuracy@1 71.875 (69.851)  Accuracy@5 100.000 (100.000)    
Epoch: [36][80/365] Time 0.789s (0.801s)    Speed 81.1 samples/s    Data 0.000s (0.008s)    Loss 0.76811 (0.70328)  Accuracy@1 68.750 (70.004)  Accuracy@5 100.000 (100.000)    
Epoch: [36][100/365]    Time 0.787s (0.799s)    Speed 81.3 samples/s    Data 0.000s (0.006s)    Loss 0.68358 (0.69747)  Accuracy@1 70.312 (70.080)  Accuracy@5 100.000 (100.000)    
Epoch: [36][120/365]    Time 0.789s (0.798s)    Speed 81.1 samples/s    Data 0.000s (0.005s)    Loss 0.57607 (0.69963)  Accuracy@1 71.875 (70.145)  Accuracy@5 100.000 (100.000)    
Epoch: [36][140/365]    Time 0.788s (0.797s)    Speed 81.2 samples/s    Data 0.000s (0.005s)    Loss 0.76417 (0.70097)  Accuracy@1 71.875 (70.146)  Accuracy@5 100.000 (100.000)    
Epoch: [36][160/365]    Time 0.788s (0.797s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.58904 (0.69909)  Accuracy@1 76.562 (70.021)  Accuracy@5 100.000 (100.000)    
Epoch: [36][180/365]    Time 0.796s (0.796s)    Speed 80.4 samples/s    Data 0.000s (0.004s)    Loss 0.58250 (0.69734)  Accuracy@1 73.438 (70.071)  Accuracy@5 100.000 (100.000)    
Epoch: [36][200/365]    Time 0.791s (0.796s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.78522 (0.69521)  Accuracy@1 59.375 (70.079)  Accuracy@5 100.000 (100.000)    
Epoch: [36][220/365]    Time 0.791s (0.795s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.56606 (0.68958)  Accuracy@1 76.562 (70.256)  Accuracy@5 100.000 (100.000)    
Epoch: [36][240/365]    Time 0.789s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.62286 (0.68860)  Accuracy@1 73.438 (70.267)  Accuracy@5 100.000 (100.000)    
Epoch: [36][260/365]    Time 0.787s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.78764 (0.68931)  Accuracy@1 62.500 (70.235)  Accuracy@5 100.000 (100.000)    
Epoch: [36][280/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.75533 (0.68751)  Accuracy@1 64.062 (70.246)  Accuracy@5 100.000 (100.000)    
Epoch: [36][300/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.77343 (0.68759)  Accuracy@1 64.062 (70.245)  Accuracy@5 100.000 (100.000)    
Epoch: [36][320/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.67103 (0.68948)  Accuracy@1 71.875 (70.162)  Accuracy@5 100.000 (100.000)    
Epoch: [36][340/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.80382 (0.68958)  Accuracy@1 65.625 (70.189)  Accuracy@5 100.000 (100.000)    
Epoch: [36][360/365]    Time 0.792s (0.793s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.59606 (0.68969)  Accuracy@1 71.875 (70.100)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.7129 Error@1 31.374  Error@5 0.000   Accuracy@1 68.626   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [37][0/365]  Time 1.450s (1.450s)    Speed 44.1 samples/s    Data 0.598s (0.598s)    Loss 0.58663 (0.58663)  Accuracy@1 75.000 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [37][20/365] Time 0.792s (0.829s)    Speed 80.8 samples/s    Data 0.000s (0.029s)    Loss 0.70597 (0.68967)  Accuracy@1 71.875 (71.429)  Accuracy@5 100.000 (100.000)    
Epoch: [37][40/365] Time 0.798s (0.810s)    Speed 80.2 samples/s    Data 0.000s (0.015s)    Loss 0.68863 (0.69851)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [37][60/365] Time 0.781s (0.803s)    Speed 81.9 samples/s    Data 0.000s (0.010s)    Loss 0.47698 (0.70590)  Accuracy@1 81.250 (69.621)  Accuracy@5 100.000 (100.000)    
Epoch: [37][80/365] Time 0.792s (0.799s)    Speed 80.8 samples/s    Data 0.000s (0.008s)    Loss 0.61211 (0.69072)  Accuracy@1 70.312 (70.177)  Accuracy@5 100.000 (100.000)    
Epoch: [37][100/365]    Time 0.784s (0.797s)    Speed 81.6 samples/s    Data 0.000s (0.006s)    Loss 0.63658 (0.68260)  Accuracy@1 67.188 (70.622)  Accuracy@5 100.000 (100.000)    
Epoch: [37][120/365]    Time 0.791s (0.795s)    Speed 80.9 samples/s    Data 0.000s (0.005s)    Loss 0.67364 (0.68867)  Accuracy@1 68.750 (70.106)  Accuracy@5 100.000 (100.000)    
Epoch: [37][140/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.54387 (0.69003)  Accuracy@1 82.812 (70.146)  Accuracy@5 100.000 (100.000)    
Epoch: [37][160/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.71801 (0.68839)  Accuracy@1 65.625 (70.283)  Accuracy@5 100.000 (100.000)    
Epoch: [37][180/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.71654 (0.68828)  Accuracy@1 68.750 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [37][200/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.56454 (0.68929)  Accuracy@1 75.000 (70.211)  Accuracy@5 100.000 (100.000)    
Epoch: [37][220/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.79225 (0.68825)  Accuracy@1 67.188 (70.235)  Accuracy@5 100.000 (100.000)    
Epoch: [37][240/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.64783 (0.68752)  Accuracy@1 70.312 (70.274)  Accuracy@5 100.000 (100.000)    
Epoch: [37][260/365]    Time 0.794s (0.792s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 0.71485 (0.68856)  Accuracy@1 71.875 (70.187)  Accuracy@5 100.000 (100.000)    
Epoch: [37][280/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.70281 (0.68629)  Accuracy@1 65.625 (70.224)  Accuracy@5 100.000 (100.000)    
Epoch: [37][300/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.66796 (0.68678)  Accuracy@1 75.000 (70.183)  Accuracy@5 100.000 (100.000)    
Epoch: [37][320/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.65899 (0.68868)  Accuracy@1 71.875 (70.230)  Accuracy@5 100.000 (100.000)    
Epoch: [37][340/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.72863 (0.68755)  Accuracy@1 71.875 (70.230)  Accuracy@5 100.000 (100.000)    
Epoch: [37][360/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.52577 (0.68731)  Accuracy@1 78.125 (70.304)  Accuracy@5 100.000 (100.000)    
Test: Time 0.335    Loss 0.7193 Error@1 30.981  Error@5 0.000   Accuracy@1 69.019   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [38][0/365]  Time 1.423s (1.423s)    Speed 45.0 samples/s    Data 0.559s (0.559s)    Loss 0.56779 (0.56779)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [38][20/365] Time 0.787s (0.827s)    Speed 81.4 samples/s    Data 0.000s (0.027s)    Loss 0.68392 (0.64826)  Accuracy@1 70.312 (71.577)  Accuracy@5 100.000 (100.000)    
Epoch: [38][40/365] Time 0.789s (0.809s)    Speed 81.1 samples/s    Data 0.000s (0.014s)    Loss 0.71319 (0.67455)  Accuracy@1 68.750 (70.617)  Accuracy@5 100.000 (100.000)    
Epoch: [38][60/365] Time 0.787s (0.803s)    Speed 81.3 samples/s    Data 0.000s (0.009s)    Loss 0.75978 (0.68708)  Accuracy@1 62.500 (69.595)  Accuracy@5 100.000 (100.000)    
Epoch: [38][80/365] Time 0.790s (0.800s)    Speed 81.0 samples/s    Data 0.000s (0.007s)    Loss 0.59514 (0.68765)  Accuracy@1 73.438 (69.657)  Accuracy@5 100.000 (100.000)    
Epoch: [38][100/365]    Time 0.796s (0.798s)    Speed 80.4 samples/s    Data 0.000s (0.006s)    Loss 0.57496 (0.68799)  Accuracy@1 79.688 (69.972)  Accuracy@5 100.000 (100.000)    
Epoch: [38][120/365]    Time 0.787s (0.797s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.90120 (0.68214)  Accuracy@1 62.500 (70.338)  Accuracy@5 100.000 (100.000)    
Epoch: [38][140/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.61641 (0.68607)  Accuracy@1 75.000 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [38][160/365]    Time 0.787s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.68802 (0.68347)  Accuracy@1 73.438 (70.555)  Accuracy@5 100.000 (100.000)    
Epoch: [38][180/365]    Time 0.787s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.78567 (0.68496)  Accuracy@1 65.625 (70.511)  Accuracy@5 100.000 (100.000)    
Epoch: [38][200/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.63241 (0.68688)  Accuracy@1 82.812 (70.452)  Accuracy@5 100.000 (100.000)    
Epoch: [38][220/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.74031 (0.68566)  Accuracy@1 68.750 (70.546)  Accuracy@5 100.000 (100.000)    
Epoch: [38][240/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.76916 (0.68423)  Accuracy@1 62.500 (70.630)  Accuracy@5 100.000 (100.000)    
Epoch: [38][260/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.64296 (0.68285)  Accuracy@1 71.875 (70.684)  Accuracy@5 100.000 (100.000)    
Epoch: [38][280/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.52175 (0.68080)  Accuracy@1 78.125 (70.741)  Accuracy@5 100.000 (100.000)    
Epoch: [38][300/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.52486 (0.68090)  Accuracy@1 76.562 (70.582)  Accuracy@5 100.000 (100.000)    
Epoch: [38][320/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.72085 (0.68096)  Accuracy@1 60.938 (70.502)  Accuracy@5 100.000 (100.000)    
Epoch: [38][340/365]    Time 0.791s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.73631 (0.68282)  Accuracy@1 64.062 (70.308)  Accuracy@5 100.000 (100.000)    
Epoch: [38][360/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.72749 (0.68337)  Accuracy@1 70.312 (70.222)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.7160 Error@1 31.396  Error@5 0.000   Accuracy@1 68.604   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [39][0/365]  Time 1.391s (1.391s)    Speed 46.0 samples/s    Data 0.544s (0.544s)    Loss 0.71283 (0.71283)  Accuracy@1 68.750 (68.750)  Accuracy@5 100.000 (100.000)    
Epoch: [39][20/365] Time 0.787s (0.825s)    Speed 81.3 samples/s    Data 0.000s (0.026s)    Loss 0.56553 (0.67667)  Accuracy@1 79.688 (71.801)  Accuracy@5 100.000 (100.000)    
Epoch: [39][40/365] Time 0.788s (0.807s)    Speed 81.2 samples/s    Data 0.000s (0.014s)    Loss 0.56574 (0.68110)  Accuracy@1 75.000 (71.189)  Accuracy@5 100.000 (100.000)    
Epoch: [39][60/365] Time 0.791s (0.802s)    Speed 80.9 samples/s    Data 0.000s (0.009s)    Loss 0.62675 (0.66340)  Accuracy@1 73.438 (71.619)  Accuracy@5 100.000 (100.000)    
Epoch: [39][80/365] Time 0.796s (0.799s)    Speed 80.4 samples/s    Data 0.000s (0.007s)    Loss 0.76307 (0.66738)  Accuracy@1 70.312 (71.412)  Accuracy@5 100.000 (100.000)    
Epoch: [39][100/365]    Time 0.791s (0.798s)    Speed 80.9 samples/s    Data 0.000s (0.006s)    Loss 0.72123 (0.67048)  Accuracy@1 67.188 (71.148)  Accuracy@5 100.000 (100.000)    
Epoch: [39][120/365]    Time 0.788s (0.797s)    Speed 81.2 samples/s    Data 0.000s (0.005s)    Loss 0.87960 (0.67575)  Accuracy@1 64.062 (70.842)  Accuracy@5 100.000 (100.000)    
Epoch: [39][140/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.68969 (0.67586)  Accuracy@1 71.875 (70.922)  Accuracy@5 100.000 (100.000)    
Epoch: [39][160/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.58959 (0.67416)  Accuracy@1 73.438 (70.914)  Accuracy@5 100.000 (100.000)    
Epoch: [39][180/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.59126 (0.67615)  Accuracy@1 76.562 (70.753)  Accuracy@5 100.000 (100.000)    
Epoch: [39][200/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.80789 (0.68144)  Accuracy@1 62.500 (70.631)  Accuracy@5 100.000 (100.000)    
Epoch: [39][220/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.74992 (0.68359)  Accuracy@1 67.188 (70.659)  Accuracy@5 100.000 (100.000)    
Epoch: [39][240/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.64427 (0.68499)  Accuracy@1 73.438 (70.676)  Accuracy@5 100.000 (100.000)    
Epoch: [39][260/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.85947 (0.68594)  Accuracy@1 60.938 (70.594)  Accuracy@5 100.000 (100.000)    
Epoch: [39][280/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.56359 (0.68518)  Accuracy@1 76.562 (70.591)  Accuracy@5 100.000 (100.000)    
Epoch: [39][300/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.64238 (0.68397)  Accuracy@1 68.750 (70.629)  Accuracy@5 100.000 (100.000)    
Epoch: [39][320/365]    Time 0.789s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.60559 (0.68458)  Accuracy@1 73.438 (70.517)  Accuracy@5 100.000 (100.000)    
Epoch: [39][340/365]    Time 0.794s (0.791s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.89884 (0.68391)  Accuracy@1 62.500 (70.555)  Accuracy@5 100.000 (100.000)    
Epoch: [39][360/365]    Time 0.791s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.70638 (0.68444)  Accuracy@1 76.562 (70.538)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.7096 Error@1 31.374  Error@5 0.000   Accuracy@1 68.626   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [40][0/365]  Time 1.434s (1.434s)    Speed 44.6 samples/s    Data 0.582s (0.582s)    Loss 0.67119 (0.67119)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [40][20/365] Time 0.786s (0.829s)    Speed 81.4 samples/s    Data 0.000s (0.028s)    Loss 0.69858 (0.68146)  Accuracy@1 67.188 (71.801)  Accuracy@5 100.000 (100.000)    
Epoch: [40][40/365] Time 0.788s (0.811s)    Speed 81.2 samples/s    Data 0.000s (0.015s)    Loss 0.79062 (0.67267)  Accuracy@1 62.500 (71.151)  Accuracy@5 100.000 (100.000)    
Epoch: [40][60/365] Time 0.800s (0.804s)    Speed 80.0 samples/s    Data 0.000s (0.010s)    Loss 0.64983 (0.67674)  Accuracy@1 67.188 (71.030)  Accuracy@5 100.000 (100.000)    
Epoch: [40][80/365] Time 0.787s (0.801s)    Speed 81.3 samples/s    Data 0.000s (0.007s)    Loss 0.76357 (0.67617)  Accuracy@1 59.375 (70.910)  Accuracy@5 100.000 (100.000)    
Epoch: [40][100/365]    Time 0.794s (0.799s)    Speed 80.6 samples/s    Data 0.000s (0.006s)    Loss 0.80583 (0.68088)  Accuracy@1 62.500 (70.777)  Accuracy@5 100.000 (100.000)    
Epoch: [40][120/365]    Time 0.790s (0.797s)    Speed 81.0 samples/s    Data 0.000s (0.005s)    Loss 0.69673 (0.67491)  Accuracy@1 67.188 (71.229)  Accuracy@5 100.000 (100.000)    
Epoch: [40][140/365]    Time 0.790s (0.796s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.67359 (0.67583)  Accuracy@1 65.625 (71.088)  Accuracy@5 100.000 (100.000)    
Epoch: [40][160/365]    Time 0.794s (0.795s)    Speed 80.6 samples/s    Data 0.000s (0.004s)    Loss 0.61968 (0.67585)  Accuracy@1 73.438 (71.079)  Accuracy@5 100.000 (100.000)    
Epoch: [40][180/365]    Time 0.795s (0.795s)    Speed 80.5 samples/s    Data 0.000s (0.003s)    Loss 0.66446 (0.67549)  Accuracy@1 68.750 (71.081)  Accuracy@5 100.000 (100.000)    
Epoch: [40][200/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.54408 (0.67335)  Accuracy@1 75.000 (71.074)  Accuracy@5 100.000 (100.000)    
Epoch: [40][220/365]    Time 0.789s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.70185 (0.67491)  Accuracy@1 71.875 (70.984)  Accuracy@5 100.000 (100.000)    
Epoch: [40][240/365]    Time 0.801s (0.794s)    Speed 79.9 samples/s    Data 0.000s (0.003s)    Loss 0.73253 (0.67192)  Accuracy@1 65.625 (70.980)  Accuracy@5 100.000 (100.000)    
Epoch: [40][260/365]    Time 0.788s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.72813 (0.67395)  Accuracy@1 73.438 (70.911)  Accuracy@5 100.000 (100.000)    
Epoch: [40][280/365]    Time 0.793s (0.793s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.65006 (0.67444)  Accuracy@1 73.438 (70.835)  Accuracy@5 100.000 (100.000)    
Epoch: [40][300/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.63273 (0.67318)  Accuracy@1 75.000 (70.915)  Accuracy@5 100.000 (100.000)    
Epoch: [40][320/365]    Time 0.790s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.65564 (0.67269)  Accuracy@1 68.750 (70.926)  Accuracy@5 100.000 (100.000)    
Epoch: [40][340/365]    Time 0.795s (0.793s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.62202 (0.67481)  Accuracy@1 78.125 (70.830)  Accuracy@5 100.000 (100.000)    
Epoch: [40][360/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.88351 (0.67729)  Accuracy@1 60.938 (70.745)  Accuracy@5 100.000 (100.000)    
Test: Time 0.339    Loss 0.7272 Error@1 31.112  Error@5 0.000   Accuracy@1 68.888   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [41][0/365]  Time 1.403s (1.403s)    Speed 45.6 samples/s    Data 0.551s (0.551s)    Loss 0.69078 (0.69078)  Accuracy@1 67.188 (67.188)  Accuracy@5 100.000 (100.000)    
Epoch: [41][20/365] Time 0.789s (0.829s)    Speed 81.1 samples/s    Data 0.000s (0.027s)    Loss 0.78914 (0.68461)  Accuracy@1 64.062 (69.643)  Accuracy@5 100.000 (100.000)    
Epoch: [41][40/365] Time 0.792s (0.811s)    Speed 80.8 samples/s    Data 0.000s (0.014s)    Loss 0.67559 (0.69830)  Accuracy@1 73.438 (69.627)  Accuracy@5 100.000 (100.000)    
Epoch: [41][60/365] Time 0.790s (0.804s)    Speed 81.0 samples/s    Data 0.000s (0.009s)    Loss 0.82420 (0.69300)  Accuracy@1 60.938 (69.903)  Accuracy@5 100.000 (100.000)    
Epoch: [41][80/365] Time 0.785s (0.801s)    Speed 81.6 samples/s    Data 0.000s (0.007s)    Loss 0.66584 (0.68954)  Accuracy@1 73.438 (70.100)  Accuracy@5 100.000 (100.000)    
Epoch: [41][100/365]    Time 0.786s (0.798s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.73098 (0.69034)  Accuracy@1 79.688 (69.988)  Accuracy@5 100.000 (100.000)    
Epoch: [41][120/365]    Time 0.788s (0.797s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.59271 (0.69251)  Accuracy@1 75.000 (69.899)  Accuracy@5 100.000 (100.000)    
Epoch: [41][140/365]    Time 0.790s (0.796s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.70443 (0.68891)  Accuracy@1 67.188 (69.980)  Accuracy@5 100.000 (100.000)    
Epoch: [41][160/365]    Time 0.788s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.50719 (0.68736)  Accuracy@1 76.562 (70.060)  Accuracy@5 100.000 (100.000)    
Epoch: [41][180/365]    Time 0.785s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.67029 (0.68064)  Accuracy@1 70.312 (70.373)  Accuracy@5 100.000 (100.000)    
Epoch: [41][200/365]    Time 0.791s (0.794s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.74166 (0.68052)  Accuracy@1 65.625 (70.336)  Accuracy@5 100.000 (100.000)    
Epoch: [41][220/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.56978 (0.67806)  Accuracy@1 71.875 (70.496)  Accuracy@5 100.000 (100.000)    
Epoch: [41][240/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.75238 (0.67910)  Accuracy@1 64.062 (70.513)  Accuracy@5 100.000 (100.000)    
Epoch: [41][260/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.52475 (0.67823)  Accuracy@1 75.000 (70.564)  Accuracy@5 100.000 (100.000)    
Epoch: [41][280/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.59382 (0.68007)  Accuracy@1 76.562 (70.413)  Accuracy@5 100.000 (100.000)    
Epoch: [41][300/365]    Time 0.782s (0.792s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.66141 (0.68038)  Accuracy@1 70.312 (70.432)  Accuracy@5 100.000 (100.000)    
Epoch: [41][320/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.69022 (0.67831)  Accuracy@1 67.188 (70.517)  Accuracy@5 100.000 (100.000)    
Epoch: [41][340/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.62792 (0.67772)  Accuracy@1 71.875 (70.519)  Accuracy@5 100.000 (100.000)    
Epoch: [41][360/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.70919 (0.67664)  Accuracy@1 65.625 (70.464)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.7178 Error@1 31.178  Error@5 0.000   Accuracy@1 68.822   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [42][0/365]  Time 1.396s (1.396s)    Speed 45.9 samples/s    Data 0.555s (0.555s)    Loss 0.70940 (0.70940)  Accuracy@1 65.625 (65.625)  Accuracy@5 100.000 (100.000)    
Epoch: [42][20/365] Time 0.783s (0.823s)    Speed 81.8 samples/s    Data 0.000s (0.027s)    Loss 0.57760 (0.68582)  Accuracy@1 75.000 (69.420)  Accuracy@5 100.000 (100.000)    
Epoch: [42][40/365] Time 0.791s (0.806s)    Speed 80.9 samples/s    Data 0.000s (0.014s)    Loss 0.62714 (0.68490)  Accuracy@1 76.562 (69.741)  Accuracy@5 100.000 (100.000)    
Epoch: [42][60/365] Time 0.792s (0.800s)    Speed 80.8 samples/s    Data 0.000s (0.010s)    Loss 0.61527 (0.67996)  Accuracy@1 68.750 (69.954)  Accuracy@5 100.000 (100.000)    
Epoch: [42][80/365] Time 0.789s (0.797s)    Speed 81.1 samples/s    Data 0.000s (0.007s)    Loss 0.63305 (0.67345)  Accuracy@1 75.000 (70.505)  Accuracy@5 100.000 (100.000)    
Epoch: [42][100/365]    Time 0.785s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.006s)    Loss 0.77257 (0.68276)  Accuracy@1 60.938 (69.972)  Accuracy@5 100.000 (100.000)    
Epoch: [42][120/365]    Time 0.791s (0.794s)    Speed 80.9 samples/s    Data 0.000s (0.005s)    Loss 0.62458 (0.67544)  Accuracy@1 65.625 (70.455)  Accuracy@5 100.000 (100.000)    
Epoch: [42][140/365]    Time 0.792s (0.793s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.78756 (0.67730)  Accuracy@1 67.188 (70.335)  Accuracy@5 100.000 (100.000)    
Epoch: [42][160/365]    Time 0.793s (0.793s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.78884 (0.67742)  Accuracy@1 65.625 (70.477)  Accuracy@5 100.000 (100.000)    
Epoch: [42][180/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.70702 (0.67836)  Accuracy@1 73.438 (70.442)  Accuracy@5 100.000 (100.000)    
Epoch: [42][200/365]    Time 0.782s (0.792s)    Speed 81.9 samples/s    Data 0.000s (0.003s)    Loss 0.67545 (0.68031)  Accuracy@1 65.625 (70.320)  Accuracy@5 100.000 (100.000)    
Epoch: [42][220/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.62799 (0.68052)  Accuracy@1 68.750 (70.397)  Accuracy@5 100.000 (100.000)    
Epoch: [42][240/365]    Time 0.782s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.003s)    Loss 0.53803 (0.67844)  Accuracy@1 75.000 (70.488)  Accuracy@5 100.000 (100.000)    
Epoch: [42][260/365]    Time 0.783s (0.790s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.59732 (0.67918)  Accuracy@1 76.562 (70.522)  Accuracy@5 100.000 (100.000)    
Epoch: [42][280/365]    Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.64116 (0.67837)  Accuracy@1 76.562 (70.579)  Accuracy@5 100.000 (100.000)    
Epoch: [42][300/365]    Time 0.783s (0.790s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.70136 (0.67642)  Accuracy@1 68.750 (70.603)  Accuracy@5 100.000 (100.000)    
Epoch: [42][320/365]    Time 0.792s (0.790s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.57054 (0.67539)  Accuracy@1 75.000 (70.678)  Accuracy@5 100.000 (100.000)    
Epoch: [42][340/365]    Time 0.785s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.67074 (0.67730)  Accuracy@1 68.750 (70.583)  Accuracy@5 100.000 (100.000)    
Epoch: [42][360/365]    Time 0.784s (0.789s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.68363 (0.67506)  Accuracy@1 76.562 (70.728)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.7080 Error@1 31.221  Error@5 0.000   Accuracy@1 68.779   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [43][0/365]  Time 1.410s (1.410s)    Speed 45.4 samples/s    Data 0.538s (0.538s)    Loss 0.53584 (0.53584)  Accuracy@1 75.000 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [43][20/365] Time 0.787s (0.821s)    Speed 81.3 samples/s    Data 0.000s (0.026s)    Loss 0.74366 (0.65396)  Accuracy@1 67.188 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [43][40/365] Time 0.781s (0.804s)    Speed 81.9 samples/s    Data 0.000s (0.013s)    Loss 0.76266 (0.65380)  Accuracy@1 71.875 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [43][60/365] Time 0.793s (0.799s)    Speed 80.7 samples/s    Data 0.000s (0.009s)    Loss 0.75291 (0.66476)  Accuracy@1 65.625 (71.158)  Accuracy@5 100.000 (100.000)    
Epoch: [43][80/365] Time 0.782s (0.796s)    Speed 81.8 samples/s    Data 0.000s (0.007s)    Loss 0.78828 (0.66312)  Accuracy@1 75.000 (71.528)  Accuracy@5 100.000 (100.000)    
Epoch: [43][100/365]    Time 0.783s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 0.75690 (0.65517)  Accuracy@1 65.625 (71.689)  Accuracy@5 100.000 (100.000)    
Epoch: [43][120/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.68367 (0.66238)  Accuracy@1 76.562 (71.604)  Accuracy@5 100.000 (100.000)    
Epoch: [43][140/365]    Time 0.783s (0.792s)    Speed 81.8 samples/s    Data 0.000s (0.004s)    Loss 0.81847 (0.66157)  Accuracy@1 59.375 (71.676)  Accuracy@5 100.000 (100.000)    
Epoch: [43][160/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.69221 (0.66329)  Accuracy@1 71.875 (71.749)  Accuracy@5 100.000 (100.000)    
Epoch: [43][180/365]    Time 0.795s (0.791s)    Speed 80.5 samples/s    Data 0.000s (0.003s)    Loss 0.63651 (0.66409)  Accuracy@1 75.000 (71.702)  Accuracy@5 100.000 (100.000)    
Epoch: [43][200/365]    Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.54922 (0.66529)  Accuracy@1 76.562 (71.502)  Accuracy@5 100.000 (100.000)    
Epoch: [43][220/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.60272 (0.66391)  Accuracy@1 67.188 (71.628)  Accuracy@5 100.000 (100.000)    
Epoch: [43][240/365]    Time 0.787s (0.790s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.80775 (0.66427)  Accuracy@1 60.938 (71.570)  Accuracy@5 100.000 (100.000)    
Epoch: [43][260/365]    Time 0.793s (0.790s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.65301 (0.66475)  Accuracy@1 70.312 (71.534)  Accuracy@5 100.000 (100.000)    
Epoch: [43][280/365]    Time 0.801s (0.790s)    Speed 79.9 samples/s    Data 0.000s (0.002s)    Loss 0.53083 (0.66366)  Accuracy@1 81.250 (71.636)  Accuracy@5 100.000 (100.000)    
Epoch: [43][300/365]    Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.51651 (0.66474)  Accuracy@1 82.812 (71.714)  Accuracy@5 100.000 (100.000)    
Epoch: [43][320/365]    Time 0.794s (0.790s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.83923 (0.66485)  Accuracy@1 64.062 (71.641)  Accuracy@5 100.000 (100.000)    
Epoch: [43][340/365]    Time 0.790s (0.790s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.60231 (0.66642)  Accuracy@1 68.750 (71.573)  Accuracy@5 100.000 (100.000)    
Epoch: [43][360/365]    Time 0.796s (0.790s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 0.59429 (0.66747)  Accuracy@1 67.188 (71.485)  Accuracy@5 100.000 (100.000)    
Test: Time 0.342    Loss 0.7111 Error@1 31.068  Error@5 0.000   Accuracy@1 68.932   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [44][0/365]  Time 1.475s (1.475s)    Speed 43.4 samples/s    Data 0.611s (0.611s)    Loss 0.77584 (0.77584)  Accuracy@1 64.062 (64.062)  Accuracy@5 100.000 (100.000)    
Epoch: [44][20/365] Time 0.792s (0.839s)    Speed 80.8 samples/s    Data 0.000s (0.030s)    Loss 0.62278 (0.64521)  Accuracy@1 78.125 (72.098)  Accuracy@5 100.000 (100.000)    
Epoch: [44][40/365] Time 0.792s (0.815s)    Speed 80.8 samples/s    Data 0.000s (0.015s)    Loss 0.61239 (0.65808)  Accuracy@1 71.875 (71.227)  Accuracy@5 100.000 (100.000)    
Epoch: [44][60/365] Time 0.792s (0.808s)    Speed 80.9 samples/s    Data 0.000s (0.010s)    Loss 0.78109 (0.66673)  Accuracy@1 68.750 (71.004)  Accuracy@5 100.000 (100.000)    
Epoch: [44][80/365] Time 0.790s (0.804s)    Speed 81.1 samples/s    Data 0.000s (0.008s)    Loss 0.88900 (0.66571)  Accuracy@1 65.625 (71.470)  Accuracy@5 100.000 (100.000)    
Epoch: [44][100/365]    Time 0.792s (0.801s)    Speed 80.8 samples/s    Data 0.000s (0.006s)    Loss 0.74762 (0.66942)  Accuracy@1 68.750 (71.473)  Accuracy@5 100.000 (100.000)    
Epoch: [44][120/365]    Time 0.788s (0.800s)    Speed 81.2 samples/s    Data 0.000s (0.005s)    Loss 0.65937 (0.67243)  Accuracy@1 73.438 (71.358)  Accuracy@5 100.000 (100.000)    
Epoch: [44][140/365]    Time 0.788s (0.799s)    Speed 81.2 samples/s    Data 0.000s (0.005s)    Loss 0.64402 (0.67473)  Accuracy@1 68.750 (71.177)  Accuracy@5 100.000 (100.000)    
Epoch: [44][160/365]    Time 0.792s (0.798s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.51861 (0.67824)  Accuracy@1 78.125 (71.002)  Accuracy@5 100.000 (100.000)    
Epoch: [44][180/365]    Time 0.788s (0.797s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.63235 (0.67466)  Accuracy@1 76.562 (71.133)  Accuracy@5 100.000 (100.000)    
Epoch: [44][200/365]    Time 0.790s (0.796s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.63378 (0.67351)  Accuracy@1 64.062 (71.160)  Accuracy@5 100.000 (100.000)    
Epoch: [44][220/365]    Time 0.794s (0.796s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 0.70069 (0.67142)  Accuracy@1 73.438 (71.140)  Accuracy@5 100.000 (100.000)    
Epoch: [44][240/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.75448 (0.67135)  Accuracy@1 73.438 (71.220)  Accuracy@5 100.000 (100.000)    
Epoch: [44][260/365]    Time 0.803s (0.795s)    Speed 79.7 samples/s    Data 0.000s (0.003s)    Loss 0.69824 (0.67140)  Accuracy@1 71.875 (71.145)  Accuracy@5 100.000 (100.000)    
Epoch: [44][280/365]    Time 0.788s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.59924 (0.67368)  Accuracy@1 76.562 (71.035)  Accuracy@5 100.000 (100.000)    
Epoch: [44][300/365]    Time 0.789s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.62950 (0.67321)  Accuracy@1 75.000 (71.034)  Accuracy@5 100.000 (100.000)    
Epoch: [44][320/365]    Time 0.788s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.69873 (0.67077)  Accuracy@1 73.438 (71.091)  Accuracy@5 100.000 (100.000)    
Epoch: [44][340/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.53102 (0.66905)  Accuracy@1 81.250 (71.156)  Accuracy@5 100.000 (100.000)    
Epoch: [44][360/365]    Time 0.796s (0.794s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 0.61062 (0.67092)  Accuracy@1 75.000 (71.122)  Accuracy@5 100.000 (100.000)    
Test: Time 0.343    Loss 0.7066 Error@1 30.784  Error@5 0.000   Accuracy@1 69.216   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [45][0/365]  Time 1.427s (1.427s)    Speed 44.9 samples/s    Data 0.548s (0.548s)    Loss 0.54768 (0.54768)  Accuracy@1 78.125 (78.125)  Accuracy@5 100.000 (100.000)    
Epoch: [45][20/365] Time 0.787s (0.834s)    Speed 81.3 samples/s    Data 0.000s (0.027s)    Loss 0.63253 (0.63873)  Accuracy@1 70.312 (72.545)  Accuracy@5 100.000 (100.000)    
Epoch: [45][40/365] Time 0.790s (0.813s)    Speed 81.0 samples/s    Data 0.000s (0.014s)    Loss 0.68395 (0.64925)  Accuracy@1 68.750 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [45][60/365] Time 0.789s (0.806s)    Speed 81.1 samples/s    Data 0.000s (0.009s)    Loss 0.61974 (0.65695)  Accuracy@1 71.875 (71.977)  Accuracy@5 100.000 (100.000)    
Epoch: [45][80/365] Time 0.790s (0.802s)    Speed 81.0 samples/s    Data 0.000s (0.007s)    Loss 0.70765 (0.65104)  Accuracy@1 65.625 (72.203)  Accuracy@5 100.000 (100.000)    
Epoch: [45][100/365]    Time 0.789s (0.800s)    Speed 81.1 samples/s    Data 0.000s (0.006s)    Loss 0.67400 (0.66088)  Accuracy@1 67.188 (71.798)  Accuracy@5 100.000 (100.000)    
Epoch: [45][120/365]    Time 0.787s (0.799s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.51425 (0.65434)  Accuracy@1 79.688 (72.133)  Accuracy@5 100.000 (100.000)    
Epoch: [45][140/365]    Time 0.788s (0.798s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.76526 (0.65956)  Accuracy@1 67.188 (71.786)  Accuracy@5 100.000 (100.000)    
Epoch: [45][160/365]    Time 0.800s (0.797s)    Speed 80.0 samples/s    Data 0.000s (0.004s)    Loss 0.73773 (0.65935)  Accuracy@1 67.188 (71.759)  Accuracy@5 100.000 (100.000)    
Epoch: [45][180/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.56502 (0.66292)  Accuracy@1 84.375 (71.478)  Accuracy@5 100.000 (100.000)    
Epoch: [45][200/365]    Time 0.789s (0.796s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.73810 (0.66229)  Accuracy@1 64.062 (71.556)  Accuracy@5 100.000 (100.000)    
Epoch: [45][220/365]    Time 0.789s (0.796s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.51481 (0.66365)  Accuracy@1 79.688 (71.550)  Accuracy@5 100.000 (100.000)    
Epoch: [45][240/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.50389 (0.66428)  Accuracy@1 79.688 (71.460)  Accuracy@5 100.000 (100.000)    
Epoch: [45][260/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.52476 (0.66453)  Accuracy@1 84.375 (71.558)  Accuracy@5 100.000 (100.000)    
Epoch: [45][280/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.56867 (0.66226)  Accuracy@1 73.438 (71.586)  Accuracy@5 100.000 (100.000)    
Epoch: [45][300/365]    Time 0.783s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.80328 (0.66123)  Accuracy@1 71.875 (71.631)  Accuracy@5 100.000 (100.000)    
Epoch: [45][320/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.63614 (0.66116)  Accuracy@1 75.000 (71.568)  Accuracy@5 100.000 (100.000)    
Epoch: [45][340/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.52013 (0.66197)  Accuracy@1 76.562 (71.513)  Accuracy@5 100.000 (100.000)    
Epoch: [45][360/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.61241 (0.66247)  Accuracy@1 79.688 (71.438)  Accuracy@5 100.000 (100.000)    
Test: Time 0.339    Loss 0.7108 Error@1 30.981  Error@5 0.000   Accuracy@1 69.019   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [46][0/365]  Time 1.465s (1.465s)    Speed 43.7 samples/s    Data 0.615s (0.615s)    Loss 0.71762 (0.71762)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [46][20/365] Time 0.796s (0.832s)    Speed 80.4 samples/s    Data 0.000s (0.030s)    Loss 0.64807 (0.65191)  Accuracy@1 71.875 (70.908)  Accuracy@5 100.000 (100.000)    
Epoch: [46][40/365] Time 0.785s (0.810s)    Speed 81.6 samples/s    Data 0.000s (0.015s)    Loss 0.70280 (0.64409)  Accuracy@1 68.750 (72.104)  Accuracy@5 100.000 (100.000)    
Epoch: [46][60/365] Time 0.786s (0.803s)    Speed 81.4 samples/s    Data 0.000s (0.010s)    Loss 0.67614 (0.66176)  Accuracy@1 73.438 (71.849)  Accuracy@5 100.000 (100.000)    
Epoch: [46][80/365] Time 0.792s (0.799s)    Speed 80.8 samples/s    Data 0.000s (0.008s)    Loss 0.65634 (0.66740)  Accuracy@1 73.438 (71.740)  Accuracy@5 100.000 (100.000)    
Epoch: [46][100/365]    Time 0.789s (0.797s)    Speed 81.1 samples/s    Data 0.000s (0.006s)    Loss 0.70861 (0.66809)  Accuracy@1 76.562 (71.767)  Accuracy@5 100.000 (100.000)    
Epoch: [46][120/365]    Time 0.787s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.63411 (0.66727)  Accuracy@1 78.125 (71.785)  Accuracy@5 100.000 (100.000)    
Epoch: [46][140/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.005s)    Loss 0.61470 (0.66621)  Accuracy@1 71.875 (71.953)  Accuracy@5 100.000 (100.000)    
Epoch: [46][160/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.76106 (0.66565)  Accuracy@1 64.062 (71.953)  Accuracy@5 100.000 (100.000)    
Epoch: [46][180/365]    Time 0.785s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.70215 (0.66550)  Accuracy@1 70.312 (72.039)  Accuracy@5 100.000 (100.000)    
Epoch: [46][200/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.66068 (0.66251)  Accuracy@1 67.188 (72.132)  Accuracy@5 100.000 (100.000)    
Epoch: [46][220/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.72711 (0.66405)  Accuracy@1 64.062 (71.953)  Accuracy@5 100.000 (100.000)    
Epoch: [46][240/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.74233 (0.66597)  Accuracy@1 73.438 (71.836)  Accuracy@5 100.000 (100.000)    
Epoch: [46][260/365]    Time 0.787s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.78685 (0.66561)  Accuracy@1 68.750 (71.815)  Accuracy@5 100.000 (100.000)    
Epoch: [46][280/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.80800 (0.66512)  Accuracy@1 70.312 (71.842)  Accuracy@5 100.000 (100.000)    
Epoch: [46][300/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.70702 (0.66574)  Accuracy@1 60.938 (71.688)  Accuracy@5 100.000 (100.000)    
Epoch: [46][320/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.69491 (0.66597)  Accuracy@1 70.312 (71.719)  Accuracy@5 100.000 (100.000)    
Epoch: [46][340/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.65406 (0.66770)  Accuracy@1 71.875 (71.678)  Accuracy@5 100.000 (100.000)    
Epoch: [46][360/365]    Time 0.788s (0.790s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.77613 (0.66552)  Accuracy@1 67.188 (71.797)  Accuracy@5 100.000 (100.000)    
Test: Time 0.341    Loss 0.7170 Error@1 31.549  Error@5 0.000   Accuracy@1 68.451   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [47][0/365]  Time 1.419s (1.419s)    Speed 45.1 samples/s    Data 0.569s (0.569s)    Loss 0.51543 (0.51543)  Accuracy@1 78.125 (78.125)  Accuracy@5 100.000 (100.000)    
Epoch: [47][20/365] Time 0.788s (0.829s)    Speed 81.2 samples/s    Data 0.000s (0.028s)    Loss 0.61100 (0.66927)  Accuracy@1 73.438 (69.345)  Accuracy@5 100.000 (100.000)    
Epoch: [47][40/365] Time 0.786s (0.810s)    Speed 81.4 samples/s    Data 0.000s (0.014s)    Loss 0.61753 (0.66964)  Accuracy@1 71.875 (69.741)  Accuracy@5 100.000 (100.000)    
Epoch: [47][60/365] Time 0.784s (0.803s)    Speed 81.6 samples/s    Data 0.000s (0.010s)    Loss 0.64887 (0.66928)  Accuracy@1 68.750 (69.698)  Accuracy@5 100.000 (100.000)    
Epoch: [47][80/365] Time 0.783s (0.799s)    Speed 81.7 samples/s    Data 0.000s (0.007s)    Loss 0.76860 (0.66667)  Accuracy@1 64.062 (69.850)  Accuracy@5 100.000 (100.000)    
Epoch: [47][100/365]    Time 0.793s (0.797s)    Speed 80.7 samples/s    Data 0.000s (0.006s)    Loss 0.71821 (0.66859)  Accuracy@1 62.500 (70.050)  Accuracy@5 100.000 (100.000)    
Epoch: [47][120/365]    Time 0.785s (0.796s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.48127 (0.66723)  Accuracy@1 79.688 (70.506)  Accuracy@5 100.000 (100.000)    
Epoch: [47][140/365]    Time 0.789s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.55347 (0.66631)  Accuracy@1 73.438 (70.578)  Accuracy@5 100.000 (100.000)    
Epoch: [47][160/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.68887 (0.66699)  Accuracy@1 79.688 (70.555)  Accuracy@5 100.000 (100.000)    
Epoch: [47][180/365]    Time 0.803s (0.793s)    Speed 79.7 samples/s    Data 0.000s (0.003s)    Loss 0.82367 (0.66665)  Accuracy@1 67.188 (70.727)  Accuracy@5 100.000 (100.000)    
Epoch: [47][200/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.63872 (0.66654)  Accuracy@1 76.562 (70.748)  Accuracy@5 100.000 (100.000)    
Epoch: [47][220/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.55163 (0.66054)  Accuracy@1 76.562 (71.182)  Accuracy@5 100.000 (100.000)    
Epoch: [47][240/365]    Time 0.803s (0.792s)    Speed 79.7 samples/s    Data 0.000s (0.003s)    Loss 0.73502 (0.65821)  Accuracy@1 71.875 (71.447)  Accuracy@5 100.000 (100.000)    
Epoch: [47][260/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.74472 (0.65855)  Accuracy@1 68.750 (71.432)  Accuracy@5 100.000 (100.000)    
Epoch: [47][280/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.70568 (0.65968)  Accuracy@1 65.625 (71.375)  Accuracy@5 100.000 (100.000)    
Epoch: [47][300/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.85606 (0.66070)  Accuracy@1 70.312 (71.449)  Accuracy@5 100.000 (100.000)    
Epoch: [47][320/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.53929 (0.65983)  Accuracy@1 75.000 (71.471)  Accuracy@5 100.000 (100.000)    
Epoch: [47][340/365]    Time 0.796s (0.792s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 0.78585 (0.66016)  Accuracy@1 60.938 (71.481)  Accuracy@5 100.000 (100.000)    
Epoch: [47][360/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.53620 (0.65994)  Accuracy@1 78.125 (71.464)  Accuracy@5 100.000 (100.000)    
Test: Time 0.338    Loss 0.7121 Error@1 30.894  Error@5 0.000   Accuracy@1 69.106   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [48][0/365]  Time 1.447s (1.447s)    Speed 44.2 samples/s    Data 0.592s (0.592s)    Loss 0.48402 (0.48402)  Accuracy@1 78.125 (78.125)  Accuracy@5 100.000 (100.000)    
Epoch: [48][20/365] Time 0.786s (0.828s)    Speed 81.4 samples/s    Data 0.000s (0.029s)    Loss 0.70050 (0.66938)  Accuracy@1 68.750 (70.610)  Accuracy@5 100.000 (100.000)    
Epoch: [48][40/365] Time 0.785s (0.809s)    Speed 81.5 samples/s    Data 0.000s (0.015s)    Loss 0.72778 (0.66901)  Accuracy@1 71.875 (70.922)  Accuracy@5 100.000 (100.000)    
Epoch: [48][60/365] Time 0.790s (0.802s)    Speed 81.0 samples/s    Data 0.000s (0.010s)    Loss 0.77255 (0.65699)  Accuracy@1 67.188 (72.054)  Accuracy@5 100.000 (100.000)    
Epoch: [48][80/365] Time 0.785s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.008s)    Loss 0.59276 (0.65518)  Accuracy@1 76.562 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [48][100/365]    Time 0.786s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.78071 (0.66210)  Accuracy@1 57.812 (71.689)  Accuracy@5 100.000 (100.000)    
Epoch: [48][120/365]    Time 0.793s (0.795s)    Speed 80.7 samples/s    Data 0.000s (0.005s)    Loss 0.58172 (0.65991)  Accuracy@1 76.562 (71.604)  Accuracy@5 100.000 (100.000)    
Epoch: [48][140/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.53059 (0.65482)  Accuracy@1 79.688 (71.687)  Accuracy@5 100.000 (100.000)    
Epoch: [48][160/365]    Time 0.796s (0.794s)    Speed 80.4 samples/s    Data 0.000s (0.004s)    Loss 0.53709 (0.65377)  Accuracy@1 78.125 (71.865)  Accuracy@5 100.000 (100.000)    
Epoch: [48][180/365]    Time 0.792s (0.794s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.71502 (0.65244)  Accuracy@1 67.188 (71.892)  Accuracy@5 100.000 (100.000)    
Epoch: [48][200/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.60941 (0.65279)  Accuracy@1 73.438 (71.922)  Accuracy@5 100.000 (100.000)    
Epoch: [48][220/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.57382 (0.65458)  Accuracy@1 75.000 (71.868)  Accuracy@5 100.000 (100.000)    
Epoch: [48][240/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.62099 (0.65671)  Accuracy@1 71.875 (71.797)  Accuracy@5 100.000 (100.000)    
Epoch: [48][260/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.58552 (0.66066)  Accuracy@1 71.875 (71.594)  Accuracy@5 100.000 (100.000)    
Epoch: [48][280/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.46523 (0.65876)  Accuracy@1 84.375 (71.747)  Accuracy@5 100.000 (100.000)    
Epoch: [48][300/365]    Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.72851 (0.65994)  Accuracy@1 65.625 (71.688)  Accuracy@5 100.000 (100.000)    
Epoch: [48][320/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.56832 (0.66135)  Accuracy@1 78.125 (71.583)  Accuracy@5 100.000 (100.000)    
Epoch: [48][340/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.74334 (0.66226)  Accuracy@1 75.000 (71.605)  Accuracy@5 100.000 (100.000)    
Epoch: [48][360/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.60252 (0.66030)  Accuracy@1 68.750 (71.685)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7172 Error@1 30.894  Error@5 0.000   Accuracy@1 69.106   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [49][0/365]  Time 1.446s (1.446s)    Speed 44.3 samples/s    Data 0.594s (0.594s)    Loss 0.67009 (0.67009)  Accuracy@1 73.438 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [49][20/365] Time 0.788s (0.824s)    Speed 81.3 samples/s    Data 0.000s (0.029s)    Loss 0.71001 (0.62502)  Accuracy@1 65.625 (72.396)  Accuracy@5 100.000 (100.000)    
Epoch: [49][40/365] Time 0.785s (0.807s)    Speed 81.5 samples/s    Data 0.000s (0.015s)    Loss 0.72376 (0.63724)  Accuracy@1 65.625 (71.799)  Accuracy@5 100.000 (100.000)    
Epoch: [49][60/365] Time 0.791s (0.801s)    Speed 80.9 samples/s    Data 0.000s (0.010s)    Loss 0.83822 (0.63725)  Accuracy@1 59.375 (72.234)  Accuracy@5 100.000 (100.000)    
Epoch: [49][80/365] Time 0.788s (0.798s)    Speed 81.2 samples/s    Data 0.000s (0.008s)    Loss 0.76847 (0.64646)  Accuracy@1 70.312 (71.952)  Accuracy@5 100.000 (100.000)    
Epoch: [49][100/365]    Time 0.788s (0.796s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.63312 (0.64034)  Accuracy@1 81.250 (72.386)  Accuracy@5 100.000 (100.000)    
Epoch: [49][120/365]    Time 0.788s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.57116 (0.63713)  Accuracy@1 70.312 (72.249)  Accuracy@5 100.000 (100.000)    
Epoch: [49][140/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.63686 (0.64131)  Accuracy@1 62.500 (72.307)  Accuracy@5 100.000 (100.000)    
Epoch: [49][160/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.61651 (0.64937)  Accuracy@1 78.125 (71.972)  Accuracy@5 100.000 (100.000)    
Epoch: [49][180/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.66702 (0.64692)  Accuracy@1 75.000 (72.048)  Accuracy@5 100.000 (100.000)    
Epoch: [49][200/365]    Time 0.800s (0.792s)    Speed 80.0 samples/s    Data 0.000s (0.003s)    Loss 0.59175 (0.64758)  Accuracy@1 78.125 (72.132)  Accuracy@5 100.000 (100.000)    
Epoch: [49][220/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.72540 (0.65012)  Accuracy@1 76.562 (71.974)  Accuracy@5 100.000 (100.000)    
Epoch: [49][240/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.66501 (0.65230)  Accuracy@1 71.875 (71.797)  Accuracy@5 100.000 (100.000)    
Epoch: [49][260/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.72795 (0.65438)  Accuracy@1 64.062 (71.683)  Accuracy@5 100.000 (100.000)    
Epoch: [49][280/365]    Time 0.784s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.61806 (0.65481)  Accuracy@1 75.000 (71.703)  Accuracy@5 100.000 (100.000)    
Epoch: [49][300/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.54567 (0.65368)  Accuracy@1 84.375 (71.750)  Accuracy@5 100.000 (100.000)    
Epoch: [49][320/365]    Time 0.795s (0.791s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.71606 (0.65404)  Accuracy@1 67.188 (71.729)  Accuracy@5 100.000 (100.000)    
Epoch: [49][340/365]    Time 0.796s (0.791s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 0.71253 (0.65469)  Accuracy@1 67.188 (71.687)  Accuracy@5 100.000 (100.000)    
Epoch: [49][360/365]    Time 0.795s (0.791s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.67906 (0.65494)  Accuracy@1 70.312 (71.749)  Accuracy@5 100.000 (100.000)    
Test: Time 0.343    Loss 0.7154 Error@1 30.894  Error@5 0.000   Accuracy@1 69.106   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [50][0/365]  Time 1.437s (1.437s)    Speed 44.5 samples/s    Data 0.547s (0.547s)    Loss 0.57369 (0.57369)  Accuracy@1 78.125 (78.125)  Accuracy@5 100.000 (100.000)    
Epoch: [50][20/365] Time 0.791s (0.828s)    Speed 80.9 samples/s    Data 0.000s (0.027s)    Loss 0.54328 (0.63091)  Accuracy@1 78.125 (73.214)  Accuracy@5 100.000 (100.000)    
Epoch: [50][40/365] Time 0.785s (0.809s)    Speed 81.5 samples/s    Data 0.000s (0.014s)    Loss 0.72024 (0.63927)  Accuracy@1 65.625 (72.294)  Accuracy@5 100.000 (100.000)    
Epoch: [50][60/365] Time 0.796s (0.803s)    Speed 80.4 samples/s    Data 0.000s (0.009s)    Loss 0.63816 (0.63274)  Accuracy@1 68.750 (72.567)  Accuracy@5 100.000 (100.000)    
Epoch: [50][80/365] Time 0.790s (0.799s)    Speed 81.1 samples/s    Data 0.000s (0.007s)    Loss 0.64329 (0.62552)  Accuracy@1 71.875 (73.167)  Accuracy@5 100.000 (100.000)    
Epoch: [50][100/365]    Time 0.785s (0.797s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.69212 (0.63133)  Accuracy@1 71.875 (72.942)  Accuracy@5 100.000 (100.000)    
Epoch: [50][120/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.89332 (0.64149)  Accuracy@1 57.812 (72.456)  Accuracy@5 100.000 (100.000)    
Epoch: [50][140/365]    Time 0.789s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.64134 (0.64027)  Accuracy@1 75.000 (72.706)  Accuracy@5 100.000 (100.000)    
Epoch: [50][160/365]    Time 0.791s (0.794s)    Speed 80.9 samples/s    Data 0.000s (0.004s)    Loss 0.56944 (0.64358)  Accuracy@1 79.688 (72.564)  Accuracy@5 100.000 (100.000)    
Epoch: [50][180/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.53400 (0.64220)  Accuracy@1 75.000 (72.462)  Accuracy@5 100.000 (100.000)    
Epoch: [50][200/365]    Time 0.782s (0.793s)    Speed 81.9 samples/s    Data 0.000s (0.003s)    Loss 0.63469 (0.64447)  Accuracy@1 75.000 (72.326)  Accuracy@5 100.000 (100.000)    
Epoch: [50][220/365]    Time 0.787s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.49168 (0.64311)  Accuracy@1 85.938 (72.335)  Accuracy@5 100.000 (100.000)    
Epoch: [50][240/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.69820 (0.64541)  Accuracy@1 68.750 (72.232)  Accuracy@5 100.000 (100.000)    
Epoch: [50][260/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.69461 (0.64561)  Accuracy@1 75.000 (72.330)  Accuracy@5 100.000 (100.000)    
Epoch: [50][280/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.52773 (0.64943)  Accuracy@1 75.000 (72.142)  Accuracy@5 100.000 (100.000)    
Epoch: [50][300/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.81210 (0.65148)  Accuracy@1 73.438 (72.026)  Accuracy@5 100.000 (100.000)    
Epoch: [50][320/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.69869 (0.65153)  Accuracy@1 71.875 (72.094)  Accuracy@5 100.000 (100.000)    
Epoch: [50][340/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.88919 (0.65303)  Accuracy@1 59.375 (72.017)  Accuracy@5 100.000 (100.000)    
Epoch: [50][360/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.66609 (0.65160)  Accuracy@1 70.312 (72.014)  Accuracy@5 100.000 (100.000)    
Test: Time 0.339    Loss 0.7150 Error@1 30.850  Error@5 0.000   Accuracy@1 69.150   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [51][0/365]  Time 1.451s (1.451s)    Speed 44.1 samples/s    Data 0.596s (0.596s)    Loss 0.72597 (0.72597)  Accuracy@1 71.875 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [51][20/365] Time 0.788s (0.828s)    Speed 81.2 samples/s    Data 0.000s (0.029s)    Loss 0.72432 (0.64073)  Accuracy@1 68.750 (72.024)  Accuracy@5 100.000 (100.000)    
Epoch: [51][40/365] Time 0.783s (0.808s)    Speed 81.7 samples/s    Data 0.000s (0.015s)    Loss 0.49375 (0.63953)  Accuracy@1 79.688 (72.599)  Accuracy@5 100.000 (100.000)    
Epoch: [51][60/365] Time 0.784s (0.801s)    Speed 81.6 samples/s    Data 0.000s (0.010s)    Loss 0.57891 (0.63622)  Accuracy@1 76.562 (72.874)  Accuracy@5 100.000 (100.000)    
Epoch: [51][80/365] Time 0.800s (0.799s)    Speed 80.0 samples/s    Data 0.000s (0.008s)    Loss 0.75506 (0.64624)  Accuracy@1 64.062 (72.859)  Accuracy@5 100.000 (100.000)    
Epoch: [51][100/365]    Time 0.791s (0.796s)    Speed 80.9 samples/s    Data 0.000s (0.006s)    Loss 0.54810 (0.64940)  Accuracy@1 76.562 (72.401)  Accuracy@5 100.000 (100.000)    
Epoch: [51][120/365]    Time 0.787s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.60978 (0.64723)  Accuracy@1 70.312 (72.585)  Accuracy@5 100.000 (100.000)    
Epoch: [51][140/365]    Time 0.784s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.005s)    Loss 0.57085 (0.64215)  Accuracy@1 73.438 (72.706)  Accuracy@5 100.000 (100.000)    
Epoch: [51][160/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.60370 (0.64409)  Accuracy@1 71.875 (72.583)  Accuracy@5 100.000 (100.000)    
Epoch: [51][180/365]    Time 0.787s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.59144 (0.64733)  Accuracy@1 73.438 (72.462)  Accuracy@5 100.000 (100.000)    
Epoch: [51][200/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.73316 (0.64850)  Accuracy@1 62.500 (72.396)  Accuracy@5 100.000 (100.000)    
Epoch: [51][220/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.68238 (0.64914)  Accuracy@1 75.000 (72.335)  Accuracy@5 100.000 (100.000)    
Epoch: [51][240/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.69048 (0.65003)  Accuracy@1 64.062 (72.270)  Accuracy@5 100.000 (100.000)    
Epoch: [51][260/365]    Time 0.788s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.74218 (0.65081)  Accuracy@1 70.312 (72.294)  Accuracy@5 100.000 (100.000)    
Epoch: [51][280/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.58147 (0.64896)  Accuracy@1 79.688 (72.487)  Accuracy@5 100.000 (100.000)    
Epoch: [51][300/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.53023 (0.64917)  Accuracy@1 79.688 (72.420)  Accuracy@5 100.000 (100.000)    
Epoch: [51][320/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.59358 (0.64913)  Accuracy@1 75.000 (72.352)  Accuracy@5 100.000 (100.000)    
Epoch: [51][340/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.54449 (0.64850)  Accuracy@1 75.000 (72.379)  Accuracy@5 100.000 (100.000)    
Epoch: [51][360/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.69582 (0.64827)  Accuracy@1 70.312 (72.351)  Accuracy@5 100.000 (100.000)    
Test: Time 0.339    Loss 0.7274 Error@1 31.331  Error@5 0.000   Accuracy@1 68.669   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [52][0/365]  Time 1.429s (1.429s)    Speed 44.8 samples/s    Data 0.561s (0.561s)    Loss 0.64829 (0.64829)  Accuracy@1 65.625 (65.625)  Accuracy@5 100.000 (100.000)    
Epoch: [52][20/365] Time 0.783s (0.827s)    Speed 81.8 samples/s    Data 0.000s (0.027s)    Loss 0.54610 (0.61929)  Accuracy@1 76.562 (73.661)  Accuracy@5 100.000 (100.000)    
Epoch: [52][40/365] Time 0.786s (0.808s)    Speed 81.4 samples/s    Data 0.000s (0.014s)    Loss 0.63135 (0.63397)  Accuracy@1 73.438 (73.095)  Accuracy@5 100.000 (100.000)    
Epoch: [52][60/365] Time 0.786s (0.802s)    Speed 81.5 samples/s    Data 0.000s (0.010s)    Loss 0.78374 (0.65332)  Accuracy@1 60.938 (72.029)  Accuracy@5 100.000 (100.000)    
Epoch: [52][80/365] Time 0.785s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.007s)    Loss 0.73453 (0.65089)  Accuracy@1 67.188 (72.203)  Accuracy@5 100.000 (100.000)    
Epoch: [52][100/365]    Time 0.789s (0.796s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.73576 (0.65253)  Accuracy@1 65.625 (71.937)  Accuracy@5 100.000 (100.000)    
Epoch: [52][120/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.59940 (0.65109)  Accuracy@1 75.000 (72.056)  Accuracy@5 100.000 (100.000)    
Epoch: [52][140/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.66168 (0.65379)  Accuracy@1 67.188 (71.775)  Accuracy@5 100.000 (100.000)    
Epoch: [52][160/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.63582 (0.64906)  Accuracy@1 68.750 (71.788)  Accuracy@5 100.000 (100.000)    
Epoch: [52][180/365]    Time 0.792s (0.793s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.44759 (0.65048)  Accuracy@1 84.375 (71.737)  Accuracy@5 100.000 (100.000)    
Epoch: [52][200/365]    Time 0.788s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.75602 (0.65093)  Accuracy@1 68.750 (71.852)  Accuracy@5 100.000 (100.000)    
Epoch: [52][220/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.65084 (0.65114)  Accuracy@1 76.562 (71.910)  Accuracy@5 100.000 (100.000)    
Epoch: [52][240/365]    Time 0.787s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.69397 (0.65151)  Accuracy@1 68.750 (71.933)  Accuracy@5 100.000 (100.000)    
Epoch: [52][260/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.54032 (0.65111)  Accuracy@1 79.688 (71.965)  Accuracy@5 100.000 (100.000)    
Epoch: [52][280/365]    Time 0.782s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.75573 (0.65236)  Accuracy@1 76.562 (71.897)  Accuracy@5 100.000 (100.000)    
Epoch: [52][300/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.60738 (0.65080)  Accuracy@1 73.438 (71.953)  Accuracy@5 100.000 (100.000)    
Epoch: [52][320/365]    Time 0.789s (0.790s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.50506 (0.65178)  Accuracy@1 76.562 (71.924)  Accuracy@5 100.000 (100.000)    
Epoch: [52][340/365]    Time 0.789s (0.790s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.70077 (0.65064)  Accuracy@1 67.188 (72.063)  Accuracy@5 100.000 (100.000)    
Epoch: [52][360/365]    Time 0.786s (0.790s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.70941 (0.65251)  Accuracy@1 73.438 (71.975)  Accuracy@5 100.000 (100.000)    
Test: Time 0.341    Loss 0.7193 Error@1 31.352  Error@5 0.000   Accuracy@1 68.648   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [53][0/365]  Time 1.481s (1.481s)    Speed 43.2 samples/s    Data 0.622s (0.622s)    Loss 0.69939 (0.69939)  Accuracy@1 71.875 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [53][20/365] Time 0.786s (0.826s)    Speed 81.5 samples/s    Data 0.000s (0.030s)    Loss 0.70973 (0.67016)  Accuracy@1 70.312 (72.396)  Accuracy@5 100.000 (100.000)    
Epoch: [53][40/365] Time 0.787s (0.808s)    Speed 81.3 samples/s    Data 0.000s (0.016s)    Loss 0.67072 (0.65582)  Accuracy@1 75.000 (72.256)  Accuracy@5 100.000 (100.000)    
Epoch: [53][60/365] Time 0.785s (0.802s)    Speed 81.5 samples/s    Data 0.000s (0.011s)    Loss 0.67847 (0.65245)  Accuracy@1 62.500 (72.029)  Accuracy@5 100.000 (100.000)    
Epoch: [53][80/365] Time 0.784s (0.798s)    Speed 81.6 samples/s    Data 0.000s (0.008s)    Loss 0.61496 (0.64651)  Accuracy@1 73.438 (72.685)  Accuracy@5 100.000 (100.000)    
Epoch: [53][100/365]    Time 0.783s (0.797s)    Speed 81.7 samples/s    Data 0.000s (0.007s)    Loss 0.61920 (0.64392)  Accuracy@1 71.875 (72.633)  Accuracy@5 100.000 (100.000)    
Epoch: [53][120/365]    Time 0.784s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.68901 (0.64158)  Accuracy@1 70.312 (72.585)  Accuracy@5 100.000 (100.000)    
Epoch: [53][140/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.87215 (0.64708)  Accuracy@1 64.062 (72.374)  Accuracy@5 100.000 (100.000)    
Epoch: [53][160/365]    Time 0.794s (0.794s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.47215 (0.64492)  Accuracy@1 82.812 (72.428)  Accuracy@5 100.000 (100.000)    
Epoch: [53][180/365]    Time 0.795s (0.793s)    Speed 80.5 samples/s    Data 0.000s (0.004s)    Loss 0.63738 (0.64933)  Accuracy@1 73.438 (72.229)  Accuracy@5 100.000 (100.000)    
Epoch: [53][200/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.75998 (0.65036)  Accuracy@1 71.875 (72.170)  Accuracy@5 100.000 (100.000)    
Epoch: [53][220/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.62304 (0.65206)  Accuracy@1 70.312 (72.144)  Accuracy@5 100.000 (100.000)    
Epoch: [53][240/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.62056 (0.65086)  Accuracy@1 71.875 (72.245)  Accuracy@5 100.000 (100.000)    
Epoch: [53][260/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.78582 (0.65396)  Accuracy@1 75.000 (72.198)  Accuracy@5 100.000 (100.000)    
Epoch: [53][280/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.49116 (0.65371)  Accuracy@1 84.375 (72.114)  Accuracy@5 100.000 (100.000)    
Epoch: [53][300/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.56676 (0.65205)  Accuracy@1 70.312 (72.119)  Accuracy@5 100.000 (100.000)    
Epoch: [53][320/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.84041 (0.65162)  Accuracy@1 64.062 (72.143)  Accuracy@5 100.000 (100.000)    
Epoch: [53][340/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.78535 (0.64863)  Accuracy@1 68.750 (72.237)  Accuracy@5 100.000 (100.000)    
Epoch: [53][360/365]    Time 0.783s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.69873 (0.64963)  Accuracy@1 67.188 (72.208)  Accuracy@5 100.000 (100.000)    
Test: Time 0.341    Loss 0.7152 Error@1 30.391  Error@5 0.000   Accuracy@1 69.609   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [54][0/365]  Time 1.443s (1.443s)    Speed 44.4 samples/s    Data 0.575s (0.575s)    Loss 0.49900 (0.49900)  Accuracy@1 84.375 (84.375)  Accuracy@5 100.000 (100.000)    
Epoch: [54][20/365] Time 0.786s (0.834s)    Speed 81.4 samples/s    Data 0.000s (0.028s)    Loss 0.79202 (0.62691)  Accuracy@1 70.312 (73.586)  Accuracy@5 100.000 (100.000)    
Epoch: [54][40/365] Time 0.790s (0.811s)    Speed 81.0 samples/s    Data 0.000s (0.015s)    Loss 0.59842 (0.62939)  Accuracy@1 73.438 (73.247)  Accuracy@5 100.000 (100.000)    
Epoch: [54][60/365] Time 0.800s (0.804s)    Speed 80.0 samples/s    Data 0.000s (0.010s)    Loss 0.72239 (0.64038)  Accuracy@1 64.062 (72.515)  Accuracy@5 100.000 (100.000)    
Epoch: [54][80/365] Time 0.790s (0.800s)    Speed 81.0 samples/s    Data 0.000s (0.008s)    Loss 0.72723 (0.64270)  Accuracy@1 70.312 (72.550)  Accuracy@5 100.000 (100.000)    
Epoch: [54][100/365]    Time 0.786s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.48047 (0.63554)  Accuracy@1 81.250 (72.649)  Accuracy@5 100.000 (100.000)    
Epoch: [54][120/365]    Time 0.794s (0.796s)    Speed 80.7 samples/s    Data 0.000s (0.005s)    Loss 0.74116 (0.63652)  Accuracy@1 71.875 (72.753)  Accuracy@5 100.000 (100.000)    
Epoch: [54][140/365]    Time 0.784s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.73647 (0.63787)  Accuracy@1 71.875 (72.806)  Accuracy@5 100.000 (100.000)    
Epoch: [54][160/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.75571 (0.63844)  Accuracy@1 65.625 (72.972)  Accuracy@5 100.000 (100.000)    
Epoch: [54][180/365]    Time 0.784s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.62798 (0.63967)  Accuracy@1 75.000 (72.971)  Accuracy@5 100.000 (100.000)    
Epoch: [54][200/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.72473 (0.64012)  Accuracy@1 67.188 (72.862)  Accuracy@5 100.000 (100.000)    
Epoch: [54][220/365]    Time 0.789s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.53033 (0.64115)  Accuracy@1 78.125 (72.886)  Accuracy@5 100.000 (100.000)    
Epoch: [54][240/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.52319 (0.64070)  Accuracy@1 78.125 (72.822)  Accuracy@5 100.000 (100.000)    
Epoch: [54][260/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.49170 (0.63923)  Accuracy@1 78.125 (72.779)  Accuracy@5 100.000 (100.000)    
Epoch: [54][280/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.50612 (0.63948)  Accuracy@1 75.000 (72.698)  Accuracy@5 100.000 (100.000)    
Epoch: [54][300/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.61171 (0.63903)  Accuracy@1 76.562 (72.721)  Accuracy@5 100.000 (100.000)    
Epoch: [54][320/365]    Time 0.799s (0.792s)    Speed 80.1 samples/s    Data 0.000s (0.002s)    Loss 0.73057 (0.63960)  Accuracy@1 76.562 (72.722)  Accuracy@5 100.000 (100.000)    
Epoch: [54][340/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.53800 (0.63977)  Accuracy@1 75.000 (72.535)  Accuracy@5 100.000 (100.000)    
Epoch: [54][360/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.76729 (0.64236)  Accuracy@1 73.438 (72.416)  Accuracy@5 100.000 (100.000)    
Test: Time 0.339    Loss 0.7197 Error@1 31.025  Error@5 0.000   Accuracy@1 68.975   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [55][0/365]  Time 1.433s (1.433s)    Speed 44.7 samples/s    Data 0.577s (0.577s)    Loss 0.60803 (0.60803)  Accuracy@1 73.438 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [55][20/365] Time 0.786s (0.828s)    Speed 81.4 samples/s    Data 0.000s (0.028s)    Loss 0.60344 (0.66669)  Accuracy@1 78.125 (71.652)  Accuracy@5 100.000 (100.000)    
Epoch: [55][40/365] Time 0.789s (0.808s)    Speed 81.1 samples/s    Data 0.000s (0.014s)    Loss 0.71760 (0.67617)  Accuracy@1 67.188 (71.303)  Accuracy@5 100.000 (100.000)    
Epoch: [55][60/365] Time 0.785s (0.801s)    Speed 81.5 samples/s    Data 0.000s (0.010s)    Loss 0.67864 (0.66152)  Accuracy@1 70.312 (71.747)  Accuracy@5 100.000 (100.000)    
Epoch: [55][80/365] Time 0.788s (0.798s)    Speed 81.3 samples/s    Data 0.000s (0.007s)    Loss 0.55062 (0.65844)  Accuracy@1 78.125 (71.605)  Accuracy@5 100.000 (100.000)    
Epoch: [55][100/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.58560 (0.65666)  Accuracy@1 75.000 (71.999)  Accuracy@5 100.000 (100.000)    
Epoch: [55][120/365]    Time 0.785s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.66458 (0.65528)  Accuracy@1 75.000 (72.275)  Accuracy@5 100.000 (100.000)    
Epoch: [55][140/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.59226 (0.64936)  Accuracy@1 71.875 (72.196)  Accuracy@5 100.000 (100.000)    
Epoch: [55][160/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.49204 (0.64580)  Accuracy@1 84.375 (72.360)  Accuracy@5 100.000 (100.000)    
Epoch: [55][180/365]    Time 0.784s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.74756 (0.64087)  Accuracy@1 71.875 (72.479)  Accuracy@5 100.000 (100.000)    
Epoch: [55][200/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.68686 (0.64246)  Accuracy@1 73.438 (72.520)  Accuracy@5 100.000 (100.000)    
Epoch: [55][220/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.50992 (0.64026)  Accuracy@1 81.250 (72.377)  Accuracy@5 100.000 (100.000)    
Epoch: [55][240/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.57358 (0.63619)  Accuracy@1 76.562 (72.588)  Accuracy@5 100.000 (100.000)    
Epoch: [55][260/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.63252 (0.63650)  Accuracy@1 67.188 (72.545)  Accuracy@5 100.000 (100.000)    
Epoch: [55][280/365]    Time 0.788s (0.790s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.67837 (0.63860)  Accuracy@1 67.188 (72.387)  Accuracy@5 100.000 (100.000)    
Epoch: [55][300/365]    Time 0.789s (0.790s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.62862 (0.63899)  Accuracy@1 65.625 (72.280)  Accuracy@5 100.000 (100.000)    
Epoch: [55][320/365]    Time 0.783s (0.790s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.71170 (0.63948)  Accuracy@1 67.188 (72.298)  Accuracy@5 100.000 (100.000)    
Epoch: [55][340/365]    Time 0.786s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.73249 (0.63946)  Accuracy@1 62.500 (72.274)  Accuracy@5 100.000 (100.000)    
Epoch: [55][360/365]    Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.64846 (0.64201)  Accuracy@1 67.188 (72.226)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7309 Error@1 31.156  Error@5 0.000   Accuracy@1 68.844   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [56][0/365]  Time 1.471s (1.471s)    Speed 43.5 samples/s    Data 0.617s (0.617s)    Loss 0.47569 (0.47569)  Accuracy@1 82.812 (82.812)  Accuracy@5 100.000 (100.000)    
Epoch: [56][20/365] Time 0.789s (0.831s)    Speed 81.2 samples/s    Data 0.000s (0.030s)    Loss 0.63628 (0.64517)  Accuracy@1 70.312 (73.289)  Accuracy@5 100.000 (100.000)    
Epoch: [56][40/365] Time 0.790s (0.811s)    Speed 81.0 samples/s    Data 0.000s (0.015s)    Loss 0.62108 (0.63544)  Accuracy@1 73.438 (73.476)  Accuracy@5 100.000 (100.000)    
Epoch: [56][60/365] Time 0.787s (0.803s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.62092 (0.62996)  Accuracy@1 75.000 (73.258)  Accuracy@5 100.000 (100.000)    
Epoch: [56][80/365] Time 0.786s (0.800s)    Speed 81.5 samples/s    Data 0.000s (0.008s)    Loss 0.71132 (0.62990)  Accuracy@1 70.312 (73.032)  Accuracy@5 100.000 (100.000)    
Epoch: [56][100/365]    Time 0.786s (0.798s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.63882 (0.62668)  Accuracy@1 73.438 (73.175)  Accuracy@5 100.000 (100.000)    
Epoch: [56][120/365]    Time 0.784s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.73653 (0.63133)  Accuracy@1 70.312 (73.063)  Accuracy@5 100.000 (100.000)    
Epoch: [56][140/365]    Time 0.784s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.67120 (0.63749)  Accuracy@1 67.188 (72.839)  Accuracy@5 100.000 (100.000)    
Epoch: [56][160/365]    Time 0.804s (0.794s)    Speed 79.6 samples/s    Data 0.000s (0.004s)    Loss 0.51374 (0.63687)  Accuracy@1 78.125 (72.826)  Accuracy@5 100.000 (100.000)    
Epoch: [56][180/365]    Time 0.792s (0.794s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.70134 (0.64001)  Accuracy@1 68.750 (72.652)  Accuracy@5 100.000 (100.000)    
Epoch: [56][200/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.54815 (0.64311)  Accuracy@1 79.688 (72.582)  Accuracy@5 100.000 (100.000)    
Epoch: [56][220/365]    Time 0.790s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.72277 (0.64273)  Accuracy@1 64.062 (72.554)  Accuracy@5 100.000 (100.000)    
Epoch: [56][240/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.61170 (0.64228)  Accuracy@1 71.875 (72.640)  Accuracy@5 100.000 (100.000)    
Epoch: [56][260/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.65209 (0.64311)  Accuracy@1 70.312 (72.569)  Accuracy@5 100.000 (100.000)    
Epoch: [56][280/365]    Time 0.795s (0.792s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.67332 (0.64193)  Accuracy@1 70.312 (72.665)  Accuracy@5 100.000 (100.000)    
Epoch: [56][300/365]    Time 0.786s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.55718 (0.63998)  Accuracy@1 78.125 (72.768)  Accuracy@5 100.000 (100.000)    
Epoch: [56][320/365]    Time 0.794s (0.792s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.78026 (0.64064)  Accuracy@1 64.062 (72.678)  Accuracy@5 100.000 (100.000)    
Epoch: [56][340/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.71272 (0.64081)  Accuracy@1 73.438 (72.617)  Accuracy@5 100.000 (100.000)    
Epoch: [56][360/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.64287 (0.64012)  Accuracy@1 70.312 (72.606)  Accuracy@5 100.000 (100.000)    
Test: Time 0.339    Loss 0.7284 Error@1 31.134  Error@5 0.000   Accuracy@1 68.866   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [57][0/365]  Time 1.416s (1.416s)    Speed 45.2 samples/s    Data 0.550s (0.550s)    Loss 0.53109 (0.53109)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [57][20/365] Time 0.784s (0.828s)    Speed 81.6 samples/s    Data 0.000s (0.027s)    Loss 0.52023 (0.61843)  Accuracy@1 82.812 (72.991)  Accuracy@5 100.000 (100.000)    
Epoch: [57][40/365] Time 0.790s (0.809s)    Speed 81.0 samples/s    Data 0.000s (0.014s)    Loss 0.65942 (0.63492)  Accuracy@1 78.125 (72.828)  Accuracy@5 100.000 (100.000)    
Epoch: [57][60/365] Time 0.787s (0.801s)    Speed 81.3 samples/s    Data 0.000s (0.009s)    Loss 0.60350 (0.64049)  Accuracy@1 68.750 (72.797)  Accuracy@5 100.000 (100.000)    
Epoch: [57][80/365] Time 0.791s (0.798s)    Speed 80.9 samples/s    Data 0.000s (0.007s)    Loss 0.57176 (0.64711)  Accuracy@1 78.125 (72.338)  Accuracy@5 100.000 (100.000)    
Epoch: [57][100/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.68416 (0.63661)  Accuracy@1 68.750 (72.958)  Accuracy@5 100.000 (100.000)    
Epoch: [57][120/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.51411 (0.63357)  Accuracy@1 73.438 (72.960)  Accuracy@5 100.000 (100.000)    
Epoch: [57][140/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.66008 (0.63144)  Accuracy@1 71.875 (72.983)  Accuracy@5 100.000 (100.000)    
Epoch: [57][160/365]    Time 0.784s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.78697 (0.63041)  Accuracy@1 64.062 (72.884)  Accuracy@5 100.000 (100.000)    
Epoch: [57][180/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.63620 (0.63492)  Accuracy@1 76.562 (72.686)  Accuracy@5 100.000 (100.000)    
Epoch: [57][200/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.55924 (0.63404)  Accuracy@1 70.312 (72.590)  Accuracy@5 100.000 (100.000)    
Epoch: [57][220/365]    Time 0.782s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.003s)    Loss 0.66786 (0.63046)  Accuracy@1 73.438 (72.624)  Accuracy@5 100.000 (100.000)    
Epoch: [57][240/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.71979 (0.62789)  Accuracy@1 73.438 (72.997)  Accuracy@5 100.000 (100.000)    
Epoch: [57][260/365]    Time 0.793s (0.790s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.66249 (0.62712)  Accuracy@1 73.438 (73.000)  Accuracy@5 100.000 (100.000)    
Epoch: [57][280/365]    Time 0.788s (0.790s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.62523 (0.62953)  Accuracy@1 76.562 (72.826)  Accuracy@5 100.000 (100.000)    
Epoch: [57][300/365]    Time 0.784s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.62815 (0.63013)  Accuracy@1 79.688 (72.783)  Accuracy@5 100.000 (100.000)    
Epoch: [57][320/365]    Time 0.793s (0.790s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.64587 (0.62986)  Accuracy@1 79.688 (72.790)  Accuracy@5 100.000 (100.000)    
Epoch: [57][340/365]    Time 0.792s (0.790s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.74376 (0.63211)  Accuracy@1 68.750 (72.695)  Accuracy@5 100.000 (100.000)    
Epoch: [57][360/365]    Time 0.786s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.70229 (0.63364)  Accuracy@1 75.000 (72.680)  Accuracy@5 100.000 (100.000)    
Test: Time 0.336    Loss 0.7206 Error@1 30.719  Error@5 0.000   Accuracy@1 69.281   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [58][0/365]  Time 1.460s (1.460s)    Speed 43.8 samples/s    Data 0.589s (0.589s)    Loss 0.53335 (0.53335)  Accuracy@1 78.125 (78.125)  Accuracy@5 100.000 (100.000)    
Epoch: [58][20/365] Time 0.783s (0.827s)    Speed 81.7 samples/s    Data 0.000s (0.028s)    Loss 0.60772 (0.61813)  Accuracy@1 68.750 (72.991)  Accuracy@5 100.000 (100.000)    
Epoch: [58][40/365] Time 0.788s (0.808s)    Speed 81.2 samples/s    Data 0.000s (0.015s)    Loss 0.49070 (0.62903)  Accuracy@1 78.125 (72.599)  Accuracy@5 100.000 (100.000)    
Epoch: [58][60/365] Time 0.783s (0.802s)    Speed 81.7 samples/s    Data 0.000s (0.010s)    Loss 0.55650 (0.63204)  Accuracy@1 71.875 (72.567)  Accuracy@5 100.000 (100.000)    
Epoch: [58][80/365] Time 0.785s (0.799s)    Speed 81.6 samples/s    Data 0.000s (0.008s)    Loss 0.79899 (0.62267)  Accuracy@1 70.312 (73.013)  Accuracy@5 100.000 (100.000)    
Epoch: [58][100/365]    Time 0.798s (0.797s)    Speed 80.2 samples/s    Data 0.000s (0.006s)    Loss 0.62144 (0.62190)  Accuracy@1 67.188 (73.066)  Accuracy@5 100.000 (100.000)    
Epoch: [58][120/365]    Time 0.784s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.63061 (0.62098)  Accuracy@1 78.125 (73.179)  Accuracy@5 100.000 (100.000)    
Epoch: [58][140/365]    Time 0.782s (0.794s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.51604 (0.62538)  Accuracy@1 81.250 (73.172)  Accuracy@5 100.000 (100.000)    
Epoch: [58][160/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.62510 (0.62614)  Accuracy@1 73.438 (73.127)  Accuracy@5 100.000 (100.000)    
Epoch: [58][180/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.51270 (0.62266)  Accuracy@1 82.812 (73.153)  Accuracy@5 100.000 (100.000)    
Epoch: [58][200/365]    Time 0.795s (0.793s)    Speed 80.5 samples/s    Data 0.000s (0.003s)    Loss 0.62665 (0.62354)  Accuracy@1 68.750 (73.158)  Accuracy@5 100.000 (100.000)    
Epoch: [58][220/365]    Time 0.788s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.62096 (0.62587)  Accuracy@1 71.875 (73.020)  Accuracy@5 100.000 (100.000)    
Epoch: [58][240/365]    Time 0.786s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.75669 (0.62750)  Accuracy@1 67.188 (73.003)  Accuracy@5 100.000 (100.000)    
Epoch: [58][260/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.63175 (0.62605)  Accuracy@1 73.438 (73.120)  Accuracy@5 100.000 (100.000)    
Epoch: [58][280/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.53036 (0.62803)  Accuracy@1 81.250 (73.043)  Accuracy@5 100.000 (100.000)    
Epoch: [58][300/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.60170 (0.63086)  Accuracy@1 70.312 (72.975)  Accuracy@5 100.000 (100.000)    
Epoch: [58][320/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.41966 (0.62828)  Accuracy@1 84.375 (73.111)  Accuracy@5 100.000 (100.000)    
Epoch: [58][340/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.58792 (0.62839)  Accuracy@1 76.562 (73.103)  Accuracy@5 100.000 (100.000)    
Epoch: [58][360/365]    Time 0.785s (0.790s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.65079 (0.62865)  Accuracy@1 70.312 (73.074)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.7245 Error@1 31.352  Error@5 0.000   Accuracy@1 68.648   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [59][0/365]  Time 1.376s (1.376s)    Speed 46.5 samples/s    Data 0.531s (0.531s)    Loss 0.72506 (0.72506)  Accuracy@1 64.062 (64.062)  Accuracy@5 100.000 (100.000)    
Epoch: [59][20/365] Time 0.785s (0.826s)    Speed 81.5 samples/s    Data 0.000s (0.026s)    Loss 0.90795 (0.65600)  Accuracy@1 67.188 (72.470)  Accuracy@5 100.000 (100.000)    
Epoch: [59][40/365] Time 0.787s (0.809s)    Speed 81.4 samples/s    Data 0.000s (0.013s)    Loss 0.50301 (0.63597)  Accuracy@1 78.125 (72.256)  Accuracy@5 100.000 (100.000)    
Epoch: [59][60/365] Time 0.785s (0.803s)    Speed 81.5 samples/s    Data 0.000s (0.009s)    Loss 0.59422 (0.63162)  Accuracy@1 73.438 (72.310)  Accuracy@5 100.000 (100.000)    
Epoch: [59][80/365] Time 0.789s (0.800s)    Speed 81.1 samples/s    Data 0.000s (0.007s)    Loss 0.59654 (0.62818)  Accuracy@1 78.125 (72.608)  Accuracy@5 100.000 (100.000)    
Epoch: [59][100/365]    Time 0.786s (0.798s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.71895 (0.62894)  Accuracy@1 71.875 (72.571)  Accuracy@5 100.000 (100.000)    
Epoch: [59][120/365]    Time 0.783s (0.796s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.68600 (0.63225)  Accuracy@1 64.062 (72.443)  Accuracy@5 100.000 (100.000)    
Epoch: [59][140/365]    Time 0.793s (0.795s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.59309 (0.62918)  Accuracy@1 78.125 (72.584)  Accuracy@5 100.000 (100.000)    
Epoch: [59][160/365]    Time 0.787s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.79277 (0.63134)  Accuracy@1 68.750 (72.545)  Accuracy@5 100.000 (100.000)    
Epoch: [59][180/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.72059 (0.63133)  Accuracy@1 71.875 (72.600)  Accuracy@5 100.000 (100.000)    
Epoch: [59][200/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.73856 (0.63224)  Accuracy@1 67.188 (72.590)  Accuracy@5 100.000 (100.000)    
Epoch: [59][220/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.52832 (0.62699)  Accuracy@1 75.000 (72.936)  Accuracy@5 100.000 (100.000)    
Epoch: [59][240/365]    Time 0.794s (0.793s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 0.67810 (0.62470)  Accuracy@1 68.750 (73.023)  Accuracy@5 100.000 (100.000)    
Epoch: [59][260/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.58745 (0.62730)  Accuracy@1 76.562 (72.887)  Accuracy@5 100.000 (100.000)    
Epoch: [59][280/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.72186 (0.62589)  Accuracy@1 71.875 (72.987)  Accuracy@5 100.000 (100.000)    
Epoch: [59][300/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.80062 (0.62723)  Accuracy@1 67.188 (72.939)  Accuracy@5 100.000 (100.000)    
Epoch: [59][320/365]    Time 0.784s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.50923 (0.62558)  Accuracy@1 79.688 (73.014)  Accuracy@5 100.000 (100.000)    
Epoch: [59][340/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.67952 (0.62586)  Accuracy@1 75.000 (72.998)  Accuracy@5 100.000 (100.000)    
Epoch: [59][360/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.49194 (0.62382)  Accuracy@1 78.125 (73.048)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.7200 Error@1 30.850  Error@5 0.000   Accuracy@1 69.150   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [60][0/365]  Time 1.464s (1.464s)    Speed 43.7 samples/s    Data 0.615s (0.615s)    Loss 0.61286 (0.61286)  Accuracy@1 67.188 (67.188)  Accuracy@5 100.000 (100.000)    
Epoch: [60][20/365] Time 0.787s (0.830s)    Speed 81.3 samples/s    Data 0.000s (0.030s)    Loss 0.72367 (0.65386)  Accuracy@1 65.625 (71.949)  Accuracy@5 100.000 (100.000)    
Epoch: [60][40/365] Time 0.788s (0.811s)    Speed 81.2 samples/s    Data 0.000s (0.015s)    Loss 0.64395 (0.64252)  Accuracy@1 59.375 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [60][60/365] Time 0.792s (0.804s)    Speed 80.8 samples/s    Data 0.000s (0.010s)    Loss 0.62470 (0.63435)  Accuracy@1 78.125 (72.413)  Accuracy@5 100.000 (100.000)    
Epoch: [60][80/365] Time 0.796s (0.801s)    Speed 80.4 samples/s    Data 0.000s (0.008s)    Loss 0.53496 (0.62341)  Accuracy@1 81.250 (72.377)  Accuracy@5 100.000 (100.000)    
Epoch: [60][100/365]    Time 0.799s (0.799s)    Speed 80.1 samples/s    Data 0.000s (0.006s)    Loss 0.60954 (0.62139)  Accuracy@1 76.562 (72.525)  Accuracy@5 100.000 (100.000)    
Epoch: [60][120/365]    Time 0.787s (0.797s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.66439 (0.62654)  Accuracy@1 68.750 (72.469)  Accuracy@5 100.000 (100.000)    
Epoch: [60][140/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.69099 (0.62683)  Accuracy@1 76.562 (72.739)  Accuracy@5 100.000 (100.000)    
Epoch: [60][160/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.58591 (0.62002)  Accuracy@1 71.875 (72.826)  Accuracy@5 100.000 (100.000)    
Epoch: [60][180/365]    Time 0.787s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.63829 (0.62613)  Accuracy@1 67.188 (72.557)  Accuracy@5 100.000 (100.000)    
Epoch: [60][200/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.57922 (0.62326)  Accuracy@1 68.750 (72.683)  Accuracy@5 100.000 (100.000)    
Epoch: [60][220/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.59302 (0.62538)  Accuracy@1 79.688 (72.617)  Accuracy@5 100.000 (100.000)    
Epoch: [60][240/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.67631 (0.62635)  Accuracy@1 67.188 (72.685)  Accuracy@5 100.000 (100.000)    
Epoch: [60][260/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.50336 (0.62583)  Accuracy@1 73.438 (72.671)  Accuracy@5 100.000 (100.000)    
Epoch: [60][280/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.53675 (0.62550)  Accuracy@1 71.875 (72.698)  Accuracy@5 100.000 (100.000)    
Epoch: [60][300/365]    Time 0.791s (0.793s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.71447 (0.62320)  Accuracy@1 70.312 (72.815)  Accuracy@5 100.000 (100.000)    
Epoch: [60][320/365]    Time 0.798s (0.793s)    Speed 80.2 samples/s    Data 0.000s (0.002s)    Loss 0.54523 (0.62243)  Accuracy@1 73.438 (72.814)  Accuracy@5 100.000 (100.000)    
Epoch: [60][340/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.38719 (0.62224)  Accuracy@1 87.500 (72.888)  Accuracy@5 100.000 (100.000)    
Epoch: [60][360/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.60067 (0.62142)  Accuracy@1 79.688 (73.091)  Accuracy@5 100.000 (100.000)    
Test: Time 0.342    Loss 0.7206 Error@1 30.784  Error@5 0.000   Accuracy@1 69.216   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [61][0/365]  Time 1.444s (1.444s)    Speed 44.3 samples/s    Data 0.596s (0.596s)    Loss 0.67478 (0.67478)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [61][20/365] Time 0.786s (0.831s)    Speed 81.5 samples/s    Data 0.000s (0.029s)    Loss 0.65296 (0.62036)  Accuracy@1 71.875 (72.917)  Accuracy@5 100.000 (100.000)    
Epoch: [61][40/365] Time 0.785s (0.810s)    Speed 81.6 samples/s    Data 0.000s (0.015s)    Loss 0.68055 (0.62733)  Accuracy@1 67.188 (72.942)  Accuracy@5 100.000 (100.000)    
Epoch: [61][60/365] Time 0.800s (0.804s)    Speed 80.0 samples/s    Data 0.000s (0.010s)    Loss 0.62181 (0.61566)  Accuracy@1 78.125 (74.027)  Accuracy@5 100.000 (100.000)    
Epoch: [61][80/365] Time 0.785s (0.799s)    Speed 81.5 samples/s    Data 0.000s (0.008s)    Loss 0.56655 (0.61538)  Accuracy@1 78.125 (74.093)  Accuracy@5 100.000 (100.000)    
Epoch: [61][100/365]    Time 0.793s (0.797s)    Speed 80.7 samples/s    Data 0.000s (0.006s)    Loss 0.57474 (0.62671)  Accuracy@1 76.562 (73.685)  Accuracy@5 100.000 (100.000)    
Epoch: [61][120/365]    Time 0.784s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.60154 (0.62387)  Accuracy@1 78.125 (73.696)  Accuracy@5 100.000 (100.000)    
Epoch: [61][140/365]    Time 0.787s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.61846 (0.61617)  Accuracy@1 79.688 (74.113)  Accuracy@5 100.000 (100.000)    
Epoch: [61][160/365]    Time 0.788s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.68535 (0.61177)  Accuracy@1 75.000 (74.097)  Accuracy@5 100.000 (100.000)    
Epoch: [61][180/365]    Time 0.793s (0.794s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.57656 (0.61332)  Accuracy@1 75.000 (73.973)  Accuracy@5 100.000 (100.000)    
Epoch: [61][200/365]    Time 0.784s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.52682 (0.61319)  Accuracy@1 75.000 (73.974)  Accuracy@5 100.000 (100.000)    
Epoch: [61][220/365]    Time 0.783s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.74222 (0.61226)  Accuracy@1 62.500 (74.003)  Accuracy@5 100.000 (100.000)    
Epoch: [61][240/365]    Time 0.793s (0.793s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.88596 (0.61423)  Accuracy@1 62.500 (73.924)  Accuracy@5 100.000 (100.000)    
Epoch: [61][260/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.63929 (0.61512)  Accuracy@1 73.438 (73.827)  Accuracy@5 100.000 (100.000)    
Epoch: [61][280/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.77574 (0.61622)  Accuracy@1 62.500 (73.743)  Accuracy@5 100.000 (100.000)    
Epoch: [61][300/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.64910 (0.61785)  Accuracy@1 71.875 (73.640)  Accuracy@5 100.000 (100.000)    
Epoch: [61][320/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.79936 (0.61922)  Accuracy@1 67.188 (73.520)  Accuracy@5 100.000 (100.000)    
Epoch: [61][340/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.70830 (0.61694)  Accuracy@1 70.312 (73.685)  Accuracy@5 100.000 (100.000)    
Epoch: [61][360/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.61188 (0.61640)  Accuracy@1 75.000 (73.615)  Accuracy@5 100.000 (100.000)    
Test: Time 0.353    Loss 0.7280 Error@1 30.566  Error@5 0.000   Accuracy@1 69.434   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [62][0/365]  Time 1.436s (1.436s)    Speed 44.6 samples/s    Data 0.581s (0.581s)    Loss 0.61909 (0.61909)  Accuracy@1 79.688 (79.688)  Accuracy@5 100.000 (100.000)    
Epoch: [62][20/365] Time 0.786s (0.829s)    Speed 81.4 samples/s    Data 0.000s (0.028s)    Loss 0.57768 (0.61893)  Accuracy@1 79.688 (74.256)  Accuracy@5 100.000 (100.000)    
Epoch: [62][40/365] Time 0.788s (0.810s)    Speed 81.2 samples/s    Data 0.000s (0.014s)    Loss 0.61833 (0.59819)  Accuracy@1 71.875 (74.581)  Accuracy@5 100.000 (100.000)    
Epoch: [62][60/365] Time 0.787s (0.804s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.85261 (0.60649)  Accuracy@1 70.312 (74.232)  Accuracy@5 100.000 (100.000)    
Epoch: [62][80/365] Time 0.786s (0.800s)    Speed 81.4 samples/s    Data 0.000s (0.007s)    Loss 0.62095 (0.60226)  Accuracy@1 75.000 (74.190)  Accuracy@5 100.000 (100.000)    
Epoch: [62][100/365]    Time 0.788s (0.798s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.67197 (0.60850)  Accuracy@1 70.312 (74.010)  Accuracy@5 100.000 (100.000)    
Epoch: [62][120/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.58092 (0.61165)  Accuracy@1 79.688 (73.786)  Accuracy@5 100.000 (100.000)    
Epoch: [62][140/365]    Time 0.784s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.48123 (0.60666)  Accuracy@1 75.000 (74.113)  Accuracy@5 100.000 (100.000)    
Epoch: [62][160/365]    Time 0.795s (0.794s)    Speed 80.5 samples/s    Data 0.000s (0.004s)    Loss 0.79840 (0.60691)  Accuracy@1 65.625 (73.952)  Accuracy@5 100.000 (100.000)    
Epoch: [62][180/365]    Time 0.784s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.68531 (0.60927)  Accuracy@1 75.000 (73.783)  Accuracy@5 100.000 (100.000)    
Epoch: [62][200/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.72158 (0.60876)  Accuracy@1 67.188 (73.741)  Accuracy@5 100.000 (100.000)    
Epoch: [62][220/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.71704 (0.61151)  Accuracy@1 73.438 (73.699)  Accuracy@5 100.000 (100.000)    
Epoch: [62][240/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.53856 (0.61102)  Accuracy@1 78.125 (73.716)  Accuracy@5 100.000 (100.000)    
Epoch: [62][260/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.52554 (0.61394)  Accuracy@1 75.000 (73.581)  Accuracy@5 100.000 (100.000)    
Epoch: [62][280/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.56912 (0.61373)  Accuracy@1 76.562 (73.560)  Accuracy@5 100.000 (100.000)    
Epoch: [62][300/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.56455 (0.61218)  Accuracy@1 81.250 (73.604)  Accuracy@5 100.000 (100.000)    
Epoch: [62][320/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.72341 (0.61373)  Accuracy@1 76.562 (73.511)  Accuracy@5 100.000 (100.000)    
Epoch: [62][340/365]    Time 0.794s (0.791s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.50475 (0.61550)  Accuracy@1 82.812 (73.383)  Accuracy@5 100.000 (100.000)    
Epoch: [62][360/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.58601 (0.61637)  Accuracy@1 70.312 (73.334)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7216 Error@1 30.457  Error@5 0.000   Accuracy@1 69.543   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [63][0/365]  Time 1.398s (1.398s)    Speed 45.8 samples/s    Data 0.544s (0.544s)    Loss 0.52352 (0.52352)  Accuracy@1 78.125 (78.125)  Accuracy@5 100.000 (100.000)    
Epoch: [63][20/365] Time 0.785s (0.826s)    Speed 81.6 samples/s    Data 0.000s (0.026s)    Loss 0.66769 (0.61836)  Accuracy@1 78.125 (74.330)  Accuracy@5 100.000 (100.000)    
Epoch: [63][40/365] Time 0.792s (0.808s)    Speed 80.8 samples/s    Data 0.000s (0.014s)    Loss 0.57685 (0.62981)  Accuracy@1 78.125 (73.590)  Accuracy@5 100.000 (100.000)    
Epoch: [63][60/365] Time 0.786s (0.802s)    Speed 81.4 samples/s    Data 0.000s (0.009s)    Loss 0.54489 (0.61625)  Accuracy@1 78.125 (74.052)  Accuracy@5 100.000 (100.000)    
Epoch: [63][80/365] Time 0.786s (0.799s)    Speed 81.5 samples/s    Data 0.000s (0.007s)    Loss 0.75849 (0.61358)  Accuracy@1 62.500 (74.171)  Accuracy@5 100.000 (100.000)    
Epoch: [63][100/365]    Time 0.788s (0.797s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.60606 (0.62087)  Accuracy@1 76.562 (73.948)  Accuracy@5 100.000 (100.000)    
Epoch: [63][120/365]    Time 0.782s (0.796s)    Speed 81.9 samples/s    Data 0.000s (0.005s)    Loss 0.64356 (0.61503)  Accuracy@1 73.438 (74.212)  Accuracy@5 100.000 (100.000)    
Epoch: [63][140/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.74393 (0.61209)  Accuracy@1 70.312 (74.346)  Accuracy@5 100.000 (100.000)    
Epoch: [63][160/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.72351 (0.61603)  Accuracy@1 68.750 (74.030)  Accuracy@5 100.000 (100.000)    
Epoch: [63][180/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.72731 (0.61121)  Accuracy@1 78.125 (74.344)  Accuracy@5 100.000 (100.000)    
Epoch: [63][200/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.68250 (0.60983)  Accuracy@1 71.875 (74.199)  Accuracy@5 100.000 (100.000)    
Epoch: [63][220/365]    Time 0.791s (0.793s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.77527 (0.61284)  Accuracy@1 73.438 (73.989)  Accuracy@5 100.000 (100.000)    
Epoch: [63][240/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.65497 (0.61397)  Accuracy@1 68.750 (73.937)  Accuracy@5 100.000 (100.000)    
Epoch: [63][260/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.58197 (0.61244)  Accuracy@1 78.125 (74.030)  Accuracy@5 100.000 (100.000)    
Epoch: [63][280/365]    Time 0.794s (0.792s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.73493 (0.61285)  Accuracy@1 68.750 (73.905)  Accuracy@5 100.000 (100.000)    
Epoch: [63][300/365]    Time 0.788s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.60293 (0.61404)  Accuracy@1 79.688 (73.879)  Accuracy@5 100.000 (100.000)    
Epoch: [63][320/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.61918 (0.61450)  Accuracy@1 71.875 (73.866)  Accuracy@5 100.000 (100.000)    
Epoch: [63][340/365]    Time 0.783s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.60881 (0.61343)  Accuracy@1 68.750 (73.909)  Accuracy@5 100.000 (100.000)    
Epoch: [63][360/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.78926 (0.61394)  Accuracy@1 68.750 (73.862)  Accuracy@5 100.000 (100.000)    
Test: Time 0.346    Loss 0.7309 Error@1 30.675  Error@5 0.000   Accuracy@1 69.325   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [64][0/365]  Time 1.453s (1.453s)    Speed 44.0 samples/s    Data 0.595s (0.595s)    Loss 0.73954 (0.73954)  Accuracy@1 62.500 (62.500)  Accuracy@5 100.000 (100.000)    
Epoch: [64][20/365] Time 0.790s (0.833s)    Speed 81.0 samples/s    Data 0.000s (0.029s)    Loss 0.54581 (0.58706)  Accuracy@1 76.562 (74.851)  Accuracy@5 100.000 (100.000)    
Epoch: [64][40/365] Time 0.790s (0.812s)    Speed 81.0 samples/s    Data 0.000s (0.015s)    Loss 0.52726 (0.59822)  Accuracy@1 73.438 (74.581)  Accuracy@5 100.000 (100.000)    
Epoch: [64][60/365] Time 0.789s (0.804s)    Speed 81.1 samples/s    Data 0.000s (0.010s)    Loss 0.63907 (0.59101)  Accuracy@1 75.000 (74.872)  Accuracy@5 100.000 (100.000)    
Epoch: [64][80/365] Time 0.792s (0.801s)    Speed 80.8 samples/s    Data 0.000s (0.008s)    Loss 0.65766 (0.59320)  Accuracy@1 76.562 (74.981)  Accuracy@5 100.000 (100.000)    
Epoch: [64][100/365]    Time 0.789s (0.798s)    Speed 81.1 samples/s    Data 0.000s (0.006s)    Loss 0.99144 (0.60794)  Accuracy@1 62.500 (74.180)  Accuracy@5 100.000 (100.000)    
Epoch: [64][120/365]    Time 0.791s (0.797s)    Speed 80.9 samples/s    Data 0.000s (0.005s)    Loss 0.60651 (0.60494)  Accuracy@1 75.000 (74.354)  Accuracy@5 100.000 (100.000)    
Epoch: [64][140/365]    Time 0.790s (0.796s)    Speed 81.0 samples/s    Data 0.000s (0.005s)    Loss 0.75069 (0.60009)  Accuracy@1 65.625 (74.357)  Accuracy@5 100.000 (100.000)    
Epoch: [64][160/365]    Time 0.790s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.44772 (0.60233)  Accuracy@1 81.250 (74.321)  Accuracy@5 100.000 (100.000)    
Epoch: [64][180/365]    Time 0.795s (0.794s)    Speed 80.5 samples/s    Data 0.000s (0.004s)    Loss 0.53521 (0.60578)  Accuracy@1 81.250 (74.128)  Accuracy@5 100.000 (100.000)    
Epoch: [64][200/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.49659 (0.60673)  Accuracy@1 75.000 (74.238)  Accuracy@5 100.000 (100.000)    
Epoch: [64][220/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.49830 (0.60379)  Accuracy@1 78.125 (74.562)  Accuracy@5 100.000 (100.000)    
Epoch: [64][240/365]    Time 0.789s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.76025 (0.60577)  Accuracy@1 68.750 (74.365)  Accuracy@5 100.000 (100.000)    
Epoch: [64][260/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.48154 (0.60785)  Accuracy@1 81.250 (74.377)  Accuracy@5 100.000 (100.000)    
Epoch: [64][280/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.48435 (0.60887)  Accuracy@1 79.688 (74.372)  Accuracy@5 100.000 (100.000)    
Epoch: [64][300/365]    Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.45729 (0.61076)  Accuracy@1 79.688 (74.195)  Accuracy@5 100.000 (100.000)    
Epoch: [64][320/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.68986 (0.61181)  Accuracy@1 70.312 (74.163)  Accuracy@5 100.000 (100.000)    
Epoch: [64][340/365]    Time 0.790s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.59120 (0.61229)  Accuracy@1 68.750 (74.093)  Accuracy@5 100.000 (100.000)    
Epoch: [64][360/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.52248 (0.61278)  Accuracy@1 71.875 (74.009)  Accuracy@5 100.000 (100.000)    
Test: Time 0.342    Loss 0.7213 Error@1 30.631  Error@5 0.000   Accuracy@1 69.369   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [65][0/365]  Time 1.432s (1.432s)    Speed 44.7 samples/s    Data 0.585s (0.585s)    Loss 0.74569 (0.74569)  Accuracy@1 75.000 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [65][20/365] Time 0.790s (0.829s)    Speed 81.0 samples/s    Data 0.000s (0.028s)    Loss 0.48431 (0.62231)  Accuracy@1 78.125 (72.619)  Accuracy@5 100.000 (100.000)    
Epoch: [65][40/365] Time 0.794s (0.810s)    Speed 80.6 samples/s    Data 0.000s (0.015s)    Loss 0.51914 (0.60038)  Accuracy@1 76.562 (73.742)  Accuracy@5 100.000 (100.000)    
Epoch: [65][60/365] Time 0.784s (0.803s)    Speed 81.7 samples/s    Data 0.000s (0.010s)    Loss 0.68427 (0.60506)  Accuracy@1 73.438 (73.233)  Accuracy@5 100.000 (100.000)    
Epoch: [65][80/365] Time 0.793s (0.799s)    Speed 80.7 samples/s    Data 0.000s (0.008s)    Loss 0.55630 (0.60172)  Accuracy@1 79.688 (73.785)  Accuracy@5 100.000 (100.000)    
Epoch: [65][100/365]    Time 0.788s (0.797s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.62222 (0.60484)  Accuracy@1 67.188 (73.700)  Accuracy@5 100.000 (100.000)    
Epoch: [65][120/365]    Time 0.783s (0.796s)    Speed 81.7 samples/s    Data 0.000s (0.005s)    Loss 0.48500 (0.60919)  Accuracy@1 82.812 (73.554)  Accuracy@5 100.000 (100.000)    
Epoch: [65][140/365]    Time 0.793s (0.795s)    Speed 80.7 samples/s    Data 0.000s (0.005s)    Loss 0.73306 (0.61334)  Accuracy@1 62.500 (73.216)  Accuracy@5 100.000 (100.000)    
Epoch: [65][160/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.64482 (0.61298)  Accuracy@1 70.312 (73.243)  Accuracy@5 100.000 (100.000)    
Epoch: [65][180/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.55689 (0.61371)  Accuracy@1 71.875 (73.213)  Accuracy@5 100.000 (100.000)    
Epoch: [65][200/365]    Time 0.786s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.74313 (0.61112)  Accuracy@1 64.062 (73.399)  Accuracy@5 100.000 (100.000)    
Epoch: [65][220/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.49060 (0.61131)  Accuracy@1 75.000 (73.558)  Accuracy@5 100.000 (100.000)    
Epoch: [65][240/365]    Time 0.795s (0.792s)    Speed 80.5 samples/s    Data 0.000s (0.003s)    Loss 0.69642 (0.61191)  Accuracy@1 70.312 (73.548)  Accuracy@5 100.000 (100.000)    
Epoch: [65][260/365]    Time 0.791s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.70424 (0.61409)  Accuracy@1 70.312 (73.408)  Accuracy@5 100.000 (100.000)    
Epoch: [65][280/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.68631 (0.61631)  Accuracy@1 71.875 (73.304)  Accuracy@5 100.000 (100.000)    
Epoch: [65][300/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.65602 (0.62015)  Accuracy@1 76.562 (73.121)  Accuracy@5 100.000 (100.000)    
Epoch: [65][320/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.55973 (0.61498)  Accuracy@1 78.125 (73.408)  Accuracy@5 100.000 (100.000)    
Epoch: [65][340/365]    Time 0.794s (0.791s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.61581 (0.61493)  Accuracy@1 71.875 (73.419)  Accuracy@5 100.000 (100.000)    
Epoch: [65][360/365]    Time 0.785s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.76004 (0.61443)  Accuracy@1 65.625 (73.468)  Accuracy@5 100.000 (100.000)    
Test: Time 0.343    Loss 0.7239 Error@1 30.763  Error@5 0.000   Accuracy@1 69.237   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [66][0/365]  Time 1.437s (1.437s)    Speed 44.5 samples/s    Data 0.549s (0.549s)    Loss 0.48165 (0.48165)  Accuracy@1 82.812 (82.812)  Accuracy@5 100.000 (100.000)    
Epoch: [66][20/365] Time 0.791s (0.828s)    Speed 81.0 samples/s    Data 0.000s (0.027s)    Loss 0.54814 (0.62235)  Accuracy@1 79.688 (73.214)  Accuracy@5 100.000 (100.000)    
Epoch: [66][40/365] Time 0.785s (0.811s)    Speed 81.6 samples/s    Data 0.000s (0.014s)    Loss 0.54151 (0.62096)  Accuracy@1 76.562 (74.200)  Accuracy@5 100.000 (100.000)    
Epoch: [66][60/365] Time 0.789s (0.804s)    Speed 81.1 samples/s    Data 0.000s (0.009s)    Loss 0.53982 (0.62395)  Accuracy@1 76.562 (73.899)  Accuracy@5 100.000 (100.000)    
Epoch: [66][80/365] Time 0.790s (0.801s)    Speed 81.0 samples/s    Data 0.000s (0.007s)    Loss 0.55468 (0.61088)  Accuracy@1 76.562 (74.248)  Accuracy@5 100.000 (100.000)    
Epoch: [66][100/365]    Time 0.785s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.60181 (0.61322)  Accuracy@1 73.438 (74.056)  Accuracy@5 100.000 (100.000)    
Epoch: [66][120/365]    Time 0.785s (0.796s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.65194 (0.61156)  Accuracy@1 70.312 (73.644)  Accuracy@5 100.000 (100.000)    
Epoch: [66][140/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.68744 (0.61537)  Accuracy@1 73.438 (73.404)  Accuracy@5 100.000 (100.000)    
Epoch: [66][160/365]    Time 0.800s (0.795s)    Speed 80.0 samples/s    Data 0.000s (0.004s)    Loss 0.59784 (0.61225)  Accuracy@1 70.312 (73.467)  Accuracy@5 100.000 (100.000)    
Epoch: [66][180/365]    Time 0.784s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.43766 (0.61020)  Accuracy@1 81.250 (73.541)  Accuracy@5 100.000 (100.000)    
Epoch: [66][200/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.52439 (0.61283)  Accuracy@1 78.125 (73.445)  Accuracy@5 100.000 (100.000)    
Epoch: [66][220/365]    Time 0.787s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.57343 (0.61312)  Accuracy@1 71.875 (73.374)  Accuracy@5 100.000 (100.000)    
Epoch: [66][240/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.54804 (0.60995)  Accuracy@1 78.125 (73.593)  Accuracy@5 100.000 (100.000)    
Epoch: [66][260/365]    Time 0.782s (0.792s)    Speed 81.9 samples/s    Data 0.000s (0.002s)    Loss 0.63689 (0.61244)  Accuracy@1 71.875 (73.485)  Accuracy@5 100.000 (100.000)    
Epoch: [66][280/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.79217 (0.61196)  Accuracy@1 70.312 (73.543)  Accuracy@5 100.000 (100.000)    
Epoch: [66][300/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.53445 (0.60977)  Accuracy@1 76.562 (73.630)  Accuracy@5 100.000 (100.000)    
Epoch: [66][320/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.72746 (0.61099)  Accuracy@1 64.062 (73.525)  Accuracy@5 100.000 (100.000)    
Epoch: [66][340/365]    Time 0.789s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.61266 (0.60996)  Accuracy@1 71.875 (73.616)  Accuracy@5 100.000 (100.000)    
Epoch: [66][360/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.46892 (0.61129)  Accuracy@1 82.812 (73.576)  Accuracy@5 100.000 (100.000)    
Test: Time 0.342    Loss 0.7231 Error@1 30.828  Error@5 0.000   Accuracy@1 69.172   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [67][0/365]  Time 1.472s (1.472s)    Speed 43.5 samples/s    Data 0.583s (0.583s)    Loss 0.51929 (0.51929)  Accuracy@1 71.875 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [67][20/365] Time 0.789s (0.831s)    Speed 81.1 samples/s    Data 0.000s (0.028s)    Loss 0.60066 (0.59460)  Accuracy@1 73.438 (75.223)  Accuracy@5 100.000 (100.000)    
Epoch: [67][40/365] Time 0.785s (0.810s)    Speed 81.5 samples/s    Data 0.000s (0.015s)    Loss 0.76173 (0.61921)  Accuracy@1 67.188 (74.009)  Accuracy@5 100.000 (100.000)    
Epoch: [67][60/365] Time 0.788s (0.803s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.74005 (0.62029)  Accuracy@1 71.875 (74.206)  Accuracy@5 100.000 (100.000)    
Epoch: [67][80/365] Time 0.793s (0.800s)    Speed 80.7 samples/s    Data 0.000s (0.008s)    Loss 0.74320 (0.61721)  Accuracy@1 71.875 (74.171)  Accuracy@5 100.000 (100.000)    
Epoch: [67][100/365]    Time 0.784s (0.797s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 0.72964 (0.61700)  Accuracy@1 67.188 (74.505)  Accuracy@5 100.000 (100.000)    
Epoch: [67][120/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.54577 (0.61148)  Accuracy@1 73.438 (74.768)  Accuracy@5 100.000 (100.000)    
Epoch: [67][140/365]    Time 0.784s (0.795s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.59957 (0.61368)  Accuracy@1 79.688 (74.424)  Accuracy@5 100.000 (100.000)    
Epoch: [67][160/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.58421 (0.61201)  Accuracy@1 81.250 (74.544)  Accuracy@5 100.000 (100.000)    
Epoch: [67][180/365]    Time 0.784s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.43778 (0.60819)  Accuracy@1 82.812 (74.706)  Accuracy@5 100.000 (100.000)    
Epoch: [67][200/365]    Time 0.783s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.50055 (0.60918)  Accuracy@1 76.562 (74.502)  Accuracy@5 100.000 (100.000)    
Epoch: [67][220/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.63222 (0.60751)  Accuracy@1 73.438 (74.463)  Accuracy@5 100.000 (100.000)    
Epoch: [67][240/365]    Time 0.783s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.57109 (0.60910)  Accuracy@1 73.438 (74.287)  Accuracy@5 100.000 (100.000)    
Epoch: [67][260/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.54160 (0.60943)  Accuracy@1 78.125 (74.204)  Accuracy@5 100.000 (100.000)    
Epoch: [67][280/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.61919 (0.60938)  Accuracy@1 73.438 (74.149)  Accuracy@5 100.000 (100.000)    
Epoch: [67][300/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.72081 (0.61024)  Accuracy@1 71.875 (74.123)  Accuracy@5 100.000 (100.000)    
Epoch: [67][320/365]    Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.55914 (0.61310)  Accuracy@1 81.250 (74.056)  Accuracy@5 100.000 (100.000)    
Epoch: [67][340/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.53998 (0.61213)  Accuracy@1 81.250 (74.097)  Accuracy@5 100.000 (100.000)    
Epoch: [67][360/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.49433 (0.61329)  Accuracy@1 84.375 (74.039)  Accuracy@5 100.000 (100.000)    
Test: Time 0.345    Loss 0.7272 Error@1 30.850  Error@5 0.000   Accuracy@1 69.150   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [68][0/365]  Time 1.454s (1.454s)    Speed 44.0 samples/s    Data 0.592s (0.592s)    Loss 0.53237 (0.53237)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [68][20/365] Time 0.787s (0.829s)    Speed 81.4 samples/s    Data 0.000s (0.029s)    Loss 0.63162 (0.61713)  Accuracy@1 73.438 (72.917)  Accuracy@5 100.000 (100.000)    
Epoch: [68][40/365] Time 0.787s (0.809s)    Speed 81.3 samples/s    Data 0.000s (0.015s)    Loss 0.57967 (0.58461)  Accuracy@1 70.312 (74.619)  Accuracy@5 100.000 (100.000)    
Epoch: [68][60/365] Time 0.786s (0.803s)    Speed 81.4 samples/s    Data 0.000s (0.010s)    Loss 0.49343 (0.59577)  Accuracy@1 81.250 (74.232)  Accuracy@5 100.000 (100.000)    
Epoch: [68][80/365] Time 0.786s (0.799s)    Speed 81.4 samples/s    Data 0.000s (0.008s)    Loss 0.45744 (0.59999)  Accuracy@1 75.000 (74.421)  Accuracy@5 100.000 (100.000)    
Epoch: [68][100/365]    Time 0.790s (0.797s)    Speed 81.0 samples/s    Data 0.000s (0.006s)    Loss 0.53979 (0.60852)  Accuracy@1 78.125 (74.025)  Accuracy@5 100.000 (100.000)    
Epoch: [68][120/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.62645 (0.61505)  Accuracy@1 75.000 (73.631)  Accuracy@5 100.000 (100.000)    
Epoch: [68][140/365]    Time 0.794s (0.795s)    Speed 80.6 samples/s    Data 0.000s (0.004s)    Loss 0.50303 (0.61554)  Accuracy@1 81.250 (73.526)  Accuracy@5 100.000 (100.000)    
Epoch: [68][160/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.48587 (0.61686)  Accuracy@1 82.812 (73.311)  Accuracy@5 100.000 (100.000)    
Epoch: [68][180/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.60513 (0.61277)  Accuracy@1 78.125 (73.627)  Accuracy@5 100.000 (100.000)    
Epoch: [68][200/365]    Time 0.788s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.67563 (0.61343)  Accuracy@1 68.750 (73.640)  Accuracy@5 100.000 (100.000)    
Epoch: [68][220/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.63327 (0.61195)  Accuracy@1 78.125 (73.770)  Accuracy@5 100.000 (100.000)    
Epoch: [68][240/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.92433 (0.61273)  Accuracy@1 62.500 (73.742)  Accuracy@5 100.000 (100.000)    
Epoch: [68][260/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.63590 (0.61072)  Accuracy@1 70.312 (73.719)  Accuracy@5 100.000 (100.000)    
Epoch: [68][280/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.68580 (0.60974)  Accuracy@1 68.750 (73.671)  Accuracy@5 100.000 (100.000)    
Epoch: [68][300/365]    Time 0.784s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.54521 (0.60972)  Accuracy@1 76.562 (73.681)  Accuracy@5 100.000 (100.000)    
Epoch: [68][320/365]    Time 0.784s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.60286 (0.61011)  Accuracy@1 73.438 (73.540)  Accuracy@5 100.000 (100.000)    
Epoch: [68][340/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.58472 (0.61158)  Accuracy@1 82.812 (73.511)  Accuracy@5 100.000 (100.000)    
Epoch: [68][360/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.61242 (0.61221)  Accuracy@1 71.875 (73.550)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.7268 Error@1 30.741  Error@5 0.000   Accuracy@1 69.259   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [69][0/365]  Time 1.428s (1.428s)    Speed 44.8 samples/s    Data 0.550s (0.550s)    Loss 0.74989 (0.74989)  Accuracy@1 75.000 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [69][20/365] Time 0.790s (0.826s)    Speed 81.0 samples/s    Data 0.000s (0.027s)    Loss 0.58120 (0.61281)  Accuracy@1 75.000 (75.595)  Accuracy@5 100.000 (100.000)    
Epoch: [69][40/365] Time 0.788s (0.808s)    Speed 81.2 samples/s    Data 0.000s (0.014s)    Loss 0.44557 (0.60469)  Accuracy@1 78.125 (74.962)  Accuracy@5 100.000 (100.000)    
Epoch: [69][60/365] Time 0.784s (0.801s)    Speed 81.6 samples/s    Data 0.000s (0.009s)    Loss 0.64704 (0.61051)  Accuracy@1 73.438 (74.488)  Accuracy@5 100.000 (100.000)    
Epoch: [69][80/365] Time 0.787s (0.798s)    Speed 81.3 samples/s    Data 0.000s (0.007s)    Loss 0.50582 (0.61533)  Accuracy@1 78.125 (74.074)  Accuracy@5 100.000 (100.000)    
Epoch: [69][100/365]    Time 0.784s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.006s)    Loss 0.68634 (0.61495)  Accuracy@1 67.188 (74.025)  Accuracy@5 100.000 (100.000)    
Epoch: [69][120/365]    Time 0.789s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.005s)    Loss 0.45547 (0.61403)  Accuracy@1 85.938 (74.174)  Accuracy@5 100.000 (100.000)    
Epoch: [69][140/365]    Time 0.787s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.49078 (0.60998)  Accuracy@1 81.250 (74.335)  Accuracy@5 100.000 (100.000)    
Epoch: [69][160/365]    Time 0.789s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.59456 (0.60797)  Accuracy@1 71.875 (74.359)  Accuracy@5 100.000 (100.000)    
Epoch: [69][180/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.76372 (0.61046)  Accuracy@1 59.375 (74.154)  Accuracy@5 100.000 (100.000)    
Epoch: [69][200/365]    Time 0.791s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.56990 (0.61071)  Accuracy@1 78.125 (74.013)  Accuracy@5 100.000 (100.000)    
Epoch: [69][220/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.62490 (0.60917)  Accuracy@1 73.438 (74.145)  Accuracy@5 100.000 (100.000)    
Epoch: [69][240/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.63004 (0.60955)  Accuracy@1 68.750 (74.105)  Accuracy@5 100.000 (100.000)    
Epoch: [69][260/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.66222 (0.61291)  Accuracy@1 70.312 (73.964)  Accuracy@5 100.000 (100.000)    
Epoch: [69][280/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.54614 (0.61186)  Accuracy@1 78.125 (74.060)  Accuracy@5 100.000 (100.000)    
Epoch: [69][300/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.63633 (0.61121)  Accuracy@1 70.312 (74.071)  Accuracy@5 100.000 (100.000)    
Epoch: [69][320/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.55704 (0.60810)  Accuracy@1 71.875 (74.182)  Accuracy@5 100.000 (100.000)    
Epoch: [69][340/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.46693 (0.60777)  Accuracy@1 78.125 (74.207)  Accuracy@5 100.000 (100.000)    
Epoch: [69][360/365]    Time 0.793s (0.791s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.69610 (0.61003)  Accuracy@1 67.188 (74.043)  Accuracy@5 100.000 (100.000)    
Test: Time 0.343    Loss 0.7298 Error@1 30.741  Error@5 0.000   Accuracy@1 69.259   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [70][0/365]  Time 1.467s (1.467s)    Speed 43.6 samples/s    Data 0.622s (0.622s)    Loss 0.53231 (0.53231)  Accuracy@1 73.438 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [70][20/365] Time 0.786s (0.832s)    Speed 81.4 samples/s    Data 0.000s (0.030s)    Loss 0.63642 (0.57304)  Accuracy@1 71.875 (75.595)  Accuracy@5 100.000 (100.000)    
Epoch: [70][40/365] Time 0.793s (0.811s)    Speed 80.7 samples/s    Data 0.000s (0.016s)    Loss 0.60269 (0.58422)  Accuracy@1 68.750 (74.886)  Accuracy@5 100.000 (100.000)    
Epoch: [70][60/365] Time 0.794s (0.804s)    Speed 80.6 samples/s    Data 0.000s (0.011s)    Loss 0.53831 (0.58852)  Accuracy@1 76.562 (74.308)  Accuracy@5 100.000 (100.000)    
Epoch: [70][80/365] Time 0.787s (0.800s)    Speed 81.3 samples/s    Data 0.000s (0.008s)    Loss 0.49360 (0.59951)  Accuracy@1 79.688 (73.920)  Accuracy@5 100.000 (100.000)    
Epoch: [70][100/365]    Time 0.784s (0.798s)    Speed 81.6 samples/s    Data 0.000s (0.007s)    Loss 0.50670 (0.60221)  Accuracy@1 78.125 (73.979)  Accuracy@5 100.000 (100.000)    
Epoch: [70][120/365]    Time 0.786s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.64891 (0.60251)  Accuracy@1 67.188 (73.954)  Accuracy@5 100.000 (100.000)    
Epoch: [70][140/365]    Time 0.790s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.005s)    Loss 0.55302 (0.60573)  Accuracy@1 71.875 (73.781)  Accuracy@5 100.000 (100.000)    
Epoch: [70][160/365]    Time 0.796s (0.795s)    Speed 80.4 samples/s    Data 0.000s (0.004s)    Loss 0.54885 (0.61047)  Accuracy@1 75.000 (73.602)  Accuracy@5 100.000 (100.000)    
Epoch: [70][180/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.85961 (0.61161)  Accuracy@1 65.625 (73.576)  Accuracy@5 100.000 (100.000)    
Epoch: [70][200/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.51008 (0.60949)  Accuracy@1 79.688 (73.640)  Accuracy@5 100.000 (100.000)    
Epoch: [70][220/365]    Time 0.800s (0.793s)    Speed 80.0 samples/s    Data 0.000s (0.003s)    Loss 0.62502 (0.60820)  Accuracy@1 75.000 (73.770)  Accuracy@5 100.000 (100.000)    
Epoch: [70][240/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.67289 (0.60778)  Accuracy@1 70.312 (73.898)  Accuracy@5 100.000 (100.000)    
Epoch: [70][260/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.59965 (0.60776)  Accuracy@1 68.750 (73.982)  Accuracy@5 100.000 (100.000)    
Epoch: [70][280/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.71194 (0.60916)  Accuracy@1 67.188 (74.027)  Accuracy@5 100.000 (100.000)    
Epoch: [70][300/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.69027 (0.61127)  Accuracy@1 68.750 (73.951)  Accuracy@5 100.000 (100.000)    
Epoch: [70][320/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.53123 (0.61042)  Accuracy@1 79.688 (73.934)  Accuracy@5 100.000 (100.000)    
Epoch: [70][340/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.48463 (0.61120)  Accuracy@1 75.000 (73.919)  Accuracy@5 100.000 (100.000)    
Epoch: [70][360/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.72392 (0.61387)  Accuracy@1 75.000 (73.831)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7302 Error@1 31.243  Error@5 0.000   Accuracy@1 68.757   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [71][0/365]  Time 1.470s (1.470s)    Speed 43.5 samples/s    Data 0.609s (0.609s)    Loss 0.70541 (0.70541)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [71][20/365] Time 0.793s (0.833s)    Speed 80.7 samples/s    Data 0.000s (0.030s)    Loss 0.61987 (0.59838)  Accuracy@1 71.875 (74.479)  Accuracy@5 100.000 (100.000)    
Epoch: [71][40/365] Time 0.792s (0.811s)    Speed 80.8 samples/s    Data 0.000s (0.015s)    Loss 0.44058 (0.60395)  Accuracy@1 81.250 (73.476)  Accuracy@5 100.000 (100.000)    
Epoch: [71][60/365] Time 0.799s (0.805s)    Speed 80.1 samples/s    Data 0.000s (0.010s)    Loss 0.51851 (0.60537)  Accuracy@1 78.125 (73.719)  Accuracy@5 100.000 (100.000)    
Epoch: [71][80/365] Time 0.784s (0.801s)    Speed 81.6 samples/s    Data 0.000s (0.008s)    Loss 0.63318 (0.60078)  Accuracy@1 75.000 (74.113)  Accuracy@5 100.000 (100.000)    
Epoch: [71][100/365]    Time 0.787s (0.798s)    Speed 81.3 samples/s    Data 0.000s (0.006s)    Loss 0.63989 (0.59468)  Accuracy@1 73.438 (74.397)  Accuracy@5 100.000 (100.000)    
Epoch: [71][120/365]    Time 0.785s (0.797s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.73368 (0.60776)  Accuracy@1 65.625 (73.773)  Accuracy@5 100.000 (100.000)    
Epoch: [71][140/365]    Time 0.789s (0.796s)    Speed 81.1 samples/s    Data 0.000s (0.005s)    Loss 0.53157 (0.60889)  Accuracy@1 76.562 (73.781)  Accuracy@5 100.000 (100.000)    
Epoch: [71][160/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.59700 (0.61062)  Accuracy@1 75.000 (73.884)  Accuracy@5 100.000 (100.000)    
Epoch: [71][180/365]    Time 0.783s (0.794s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.52576 (0.61183)  Accuracy@1 78.125 (73.774)  Accuracy@5 100.000 (100.000)    
Epoch: [71][200/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.60899 (0.61568)  Accuracy@1 76.562 (73.507)  Accuracy@5 100.000 (100.000)    
Epoch: [71][220/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.61956 (0.61460)  Accuracy@1 75.000 (73.586)  Accuracy@5 100.000 (100.000)    
Epoch: [71][240/365]    Time 0.798s (0.793s)    Speed 80.2 samples/s    Data 0.000s (0.003s)    Loss 0.88030 (0.61461)  Accuracy@1 67.188 (73.509)  Accuracy@5 100.000 (100.000)    
Epoch: [71][260/365]    Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.58614 (0.61423)  Accuracy@1 76.562 (73.515)  Accuracy@5 100.000 (100.000)    
Epoch: [71][280/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.47151 (0.61194)  Accuracy@1 78.125 (73.632)  Accuracy@5 100.000 (100.000)    
Epoch: [71][300/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.60868 (0.61101)  Accuracy@1 70.312 (73.713)  Accuracy@5 100.000 (100.000)    
Epoch: [71][320/365]    Time 0.797s (0.792s)    Speed 80.3 samples/s    Data 0.000s (0.002s)    Loss 0.56859 (0.60966)  Accuracy@1 76.562 (73.773)  Accuracy@5 100.000 (100.000)    
Epoch: [71][340/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.66056 (0.60975)  Accuracy@1 71.875 (73.786)  Accuracy@5 100.000 (100.000)    
Epoch: [71][360/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.52807 (0.61072)  Accuracy@1 79.688 (73.745)  Accuracy@5 100.000 (100.000)    
Test: Time 0.342    Loss 0.7265 Error@1 30.697  Error@5 0.000   Accuracy@1 69.303   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [72][0/365]  Time 1.507s (1.507s)    Speed 42.5 samples/s    Data 0.652s (0.652s)    Loss 0.46876 (0.46876)  Accuracy@1 78.125 (78.125)  Accuracy@5 100.000 (100.000)    
Epoch: [72][20/365] Time 0.783s (0.831s)    Speed 81.7 samples/s    Data 0.000s (0.031s)    Loss 0.52632 (0.58657)  Accuracy@1 75.000 (74.628)  Accuracy@5 100.000 (100.000)    
Epoch: [72][40/365] Time 0.784s (0.810s)    Speed 81.6 samples/s    Data 0.000s (0.016s)    Loss 0.76709 (0.59807)  Accuracy@1 71.875 (74.619)  Accuracy@5 100.000 (100.000)    
Epoch: [72][60/365] Time 0.789s (0.803s)    Speed 81.1 samples/s    Data 0.000s (0.011s)    Loss 0.67506 (0.60180)  Accuracy@1 65.625 (74.257)  Accuracy@5 100.000 (100.000)    
Epoch: [72][80/365] Time 0.789s (0.799s)    Speed 81.2 samples/s    Data 0.000s (0.008s)    Loss 0.53981 (0.59788)  Accuracy@1 75.000 (74.306)  Accuracy@5 100.000 (100.000)    
Epoch: [72][100/365]    Time 0.787s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.007s)    Loss 0.56269 (0.59440)  Accuracy@1 71.875 (74.319)  Accuracy@5 100.000 (100.000)    
Epoch: [72][120/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.78367 (0.59890)  Accuracy@1 71.875 (74.238)  Accuracy@5 100.000 (100.000)    
Epoch: [72][140/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.52977 (0.59920)  Accuracy@1 78.125 (74.202)  Accuracy@5 100.000 (100.000)    
Epoch: [72][160/365]    Time 0.786s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.58204 (0.60158)  Accuracy@1 73.438 (74.107)  Accuracy@5 100.000 (100.000)    
Epoch: [72][180/365]    Time 0.784s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.73221 (0.60349)  Accuracy@1 71.875 (74.094)  Accuracy@5 100.000 (100.000)    
Epoch: [72][200/365]    Time 0.800s (0.793s)    Speed 80.0 samples/s    Data 0.000s (0.004s)    Loss 0.88431 (0.60717)  Accuracy@1 62.500 (73.865)  Accuracy@5 100.000 (100.000)    
Epoch: [72][220/365]    Time 0.791s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.84149 (0.60668)  Accuracy@1 54.688 (73.826)  Accuracy@5 100.000 (100.000)    
Epoch: [72][240/365]    Time 0.784s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.58609 (0.60696)  Accuracy@1 78.125 (73.827)  Accuracy@5 100.000 (100.000)    
Epoch: [72][260/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.58723 (0.60659)  Accuracy@1 79.688 (73.791)  Accuracy@5 100.000 (100.000)    
Epoch: [72][280/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.57295 (0.60706)  Accuracy@1 73.438 (73.693)  Accuracy@5 100.000 (100.000)    
Epoch: [72][300/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.66318 (0.60701)  Accuracy@1 76.562 (73.765)  Accuracy@5 100.000 (100.000)    
Epoch: [72][320/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.70504 (0.60647)  Accuracy@1 65.625 (73.807)  Accuracy@5 100.000 (100.000)    
Epoch: [72][340/365]    Time 0.792s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.64687 (0.60763)  Accuracy@1 64.062 (73.685)  Accuracy@5 100.000 (100.000)    
Epoch: [72][360/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.52178 (0.60981)  Accuracy@1 81.250 (73.606)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7246 Error@1 30.500  Error@5 0.000   Accuracy@1 69.500   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [73][0/365]  Time 1.420s (1.420s)    Speed 45.1 samples/s    Data 0.563s (0.563s)    Loss 0.73892 (0.73892)  Accuracy@1 67.188 (67.188)  Accuracy@5 100.000 (100.000)    
Epoch: [73][20/365] Time 0.786s (0.829s)    Speed 81.5 samples/s    Data 0.000s (0.027s)    Loss 0.72784 (0.61142)  Accuracy@1 73.438 (74.330)  Accuracy@5 100.000 (100.000)    
Epoch: [73][40/365] Time 0.790s (0.809s)    Speed 81.0 samples/s    Data 0.000s (0.014s)    Loss 0.68938 (0.61256)  Accuracy@1 73.438 (74.581)  Accuracy@5 100.000 (100.000)    
Epoch: [73][60/365] Time 0.793s (0.802s)    Speed 80.8 samples/s    Data 0.000s (0.010s)    Loss 0.58530 (0.60951)  Accuracy@1 76.562 (74.744)  Accuracy@5 100.000 (100.000)    
Epoch: [73][80/365] Time 0.796s (0.799s)    Speed 80.4 samples/s    Data 0.000s (0.007s)    Loss 0.57425 (0.62124)  Accuracy@1 75.000 (73.573)  Accuracy@5 100.000 (100.000)    
Epoch: [73][100/365]    Time 0.783s (0.797s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 0.63609 (0.62205)  Accuracy@1 65.625 (73.639)  Accuracy@5 100.000 (100.000)    
Epoch: [73][120/365]    Time 0.787s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.49875 (0.61757)  Accuracy@1 81.250 (73.722)  Accuracy@5 100.000 (100.000)    
Epoch: [73][140/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.63651 (0.61649)  Accuracy@1 70.312 (73.925)  Accuracy@5 100.000 (100.000)    
Epoch: [73][160/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.64770 (0.61601)  Accuracy@1 75.000 (73.913)  Accuracy@5 100.000 (100.000)    
Epoch: [73][180/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.57603 (0.61688)  Accuracy@1 73.438 (73.912)  Accuracy@5 100.000 (100.000)    
Epoch: [73][200/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.49949 (0.61756)  Accuracy@1 76.562 (73.741)  Accuracy@5 100.000 (100.000)    
Epoch: [73][220/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.44466 (0.61438)  Accuracy@1 89.062 (73.840)  Accuracy@5 100.000 (100.000)    
Epoch: [73][240/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.57734 (0.61143)  Accuracy@1 71.875 (73.872)  Accuracy@5 100.000 (100.000)    
Epoch: [73][260/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.71685 (0.61101)  Accuracy@1 75.000 (73.946)  Accuracy@5 100.000 (100.000)    
Epoch: [73][280/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.49741 (0.61011)  Accuracy@1 73.438 (73.893)  Accuracy@5 100.000 (100.000)    
Epoch: [73][300/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.61239 (0.61013)  Accuracy@1 65.625 (73.848)  Accuracy@5 100.000 (100.000)    
Epoch: [73][320/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.70300 (0.61234)  Accuracy@1 75.000 (73.725)  Accuracy@5 100.000 (100.000)    
Epoch: [73][340/365]    Time 0.789s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.68171 (0.61214)  Accuracy@1 71.875 (73.767)  Accuracy@5 100.000 (100.000)    
Epoch: [73][360/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.57077 (0.61347)  Accuracy@1 71.875 (73.706)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7266 Error@1 31.090  Error@5 0.000   Accuracy@1 68.910   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [74][0/365]  Time 1.441s (1.441s)    Speed 44.4 samples/s    Data 0.590s (0.590s)    Loss 0.57772 (0.57772)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [74][20/365] Time 0.788s (0.829s)    Speed 81.3 samples/s    Data 0.000s (0.029s)    Loss 0.69776 (0.61369)  Accuracy@1 78.125 (74.033)  Accuracy@5 100.000 (100.000)    
Epoch: [74][40/365] Time 0.785s (0.809s)    Speed 81.6 samples/s    Data 0.000s (0.015s)    Loss 0.60673 (0.59710)  Accuracy@1 75.000 (74.924)  Accuracy@5 100.000 (100.000)    
Epoch: [74][60/365] Time 0.786s (0.802s)    Speed 81.5 samples/s    Data 0.000s (0.010s)    Loss 0.50336 (0.60299)  Accuracy@1 78.125 (74.693)  Accuracy@5 100.000 (100.000)    
Epoch: [74][80/365] Time 0.791s (0.798s)    Speed 80.9 samples/s    Data 0.000s (0.008s)    Loss 0.66979 (0.60692)  Accuracy@1 70.312 (74.421)  Accuracy@5 100.000 (100.000)    
Epoch: [74][100/365]    Time 0.794s (0.796s)    Speed 80.6 samples/s    Data 0.000s (0.006s)    Loss 0.66553 (0.60407)  Accuracy@1 73.438 (74.799)  Accuracy@5 100.000 (100.000)    
Epoch: [74][120/365]    Time 0.787s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.55493 (0.60817)  Accuracy@1 73.438 (74.251)  Accuracy@5 100.000 (100.000)    
Epoch: [74][140/365]    Time 0.782s (0.794s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.72628 (0.60929)  Accuracy@1 67.188 (74.080)  Accuracy@5 100.000 (100.000)    
Epoch: [74][160/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.45337 (0.60937)  Accuracy@1 76.562 (73.962)  Accuracy@5 100.000 (100.000)    
Epoch: [74][180/365]    Time 0.783s (0.793s)    Speed 81.8 samples/s    Data 0.000s (0.004s)    Loss 0.69066 (0.61170)  Accuracy@1 70.312 (73.938)  Accuracy@5 100.000 (100.000)    
Epoch: [74][200/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.62498 (0.61102)  Accuracy@1 71.875 (73.982)  Accuracy@5 100.000 (100.000)    
Epoch: [74][220/365]    Time 0.788s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.49052 (0.60918)  Accuracy@1 82.812 (73.989)  Accuracy@5 100.000 (100.000)    
Epoch: [74][240/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.54142 (0.60843)  Accuracy@1 78.125 (74.008)  Accuracy@5 100.000 (100.000)    
Epoch: [74][260/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.63951 (0.60904)  Accuracy@1 73.438 (74.048)  Accuracy@5 100.000 (100.000)    
Epoch: [74][280/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.60579 (0.60945)  Accuracy@1 76.562 (73.994)  Accuracy@5 100.000 (100.000)    
Epoch: [74][300/365]    Time 0.797s (0.791s)    Speed 80.3 samples/s    Data 0.000s (0.002s)    Loss 0.69668 (0.61048)  Accuracy@1 67.188 (73.889)  Accuracy@5 100.000 (100.000)    
Epoch: [74][320/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.57645 (0.60883)  Accuracy@1 78.125 (73.919)  Accuracy@5 100.000 (100.000)    
Epoch: [74][340/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.56317 (0.60850)  Accuracy@1 68.750 (73.932)  Accuracy@5 100.000 (100.000)    
Epoch: [74][360/365]    Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.71745 (0.60951)  Accuracy@1 68.750 (73.944)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7350 Error@1 30.544  Error@5 0.000   Accuracy@1 69.456   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [75][0/365]  Time 1.464s (1.464s)    Speed 43.7 samples/s    Data 0.592s (0.592s)    Loss 0.63306 (0.63306)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [75][20/365] Time 0.787s (0.828s)    Speed 81.3 samples/s    Data 0.000s (0.029s)    Loss 0.74066 (0.61395)  Accuracy@1 73.438 (73.586)  Accuracy@5 100.000 (100.000)    
Epoch: [75][40/365] Time 0.787s (0.809s)    Speed 81.3 samples/s    Data 0.000s (0.015s)    Loss 0.59738 (0.62584)  Accuracy@1 65.625 (72.942)  Accuracy@5 100.000 (100.000)    
Epoch: [75][60/365] Time 0.787s (0.802s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.67837 (0.61748)  Accuracy@1 70.312 (73.796)  Accuracy@5 100.000 (100.000)    
Epoch: [75][80/365] Time 0.793s (0.799s)    Speed 80.7 samples/s    Data 0.000s (0.008s)    Loss 0.68029 (0.61498)  Accuracy@1 68.750 (73.823)  Accuracy@5 100.000 (100.000)    
Epoch: [75][100/365]    Time 0.790s (0.797s)    Speed 81.0 samples/s    Data 0.000s (0.006s)    Loss 0.64749 (0.61736)  Accuracy@1 73.438 (73.592)  Accuracy@5 100.000 (100.000)    
Epoch: [75][120/365]    Time 0.797s (0.795s)    Speed 80.3 samples/s    Data 0.000s (0.005s)    Loss 0.56692 (0.61468)  Accuracy@1 73.438 (73.812)  Accuracy@5 100.000 (100.000)    
Epoch: [75][140/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.69228 (0.61261)  Accuracy@1 76.562 (73.848)  Accuracy@5 100.000 (100.000)    
Epoch: [75][160/365]    Time 0.791s (0.794s)    Speed 80.9 samples/s    Data 0.000s (0.004s)    Loss 0.51971 (0.61081)  Accuracy@1 71.875 (73.865)  Accuracy@5 100.000 (100.000)    
Epoch: [75][180/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.50663 (0.60770)  Accuracy@1 75.000 (73.930)  Accuracy@5 100.000 (100.000)    
Epoch: [75][200/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.62470 (0.61133)  Accuracy@1 70.312 (73.717)  Accuracy@5 100.000 (100.000)    
Epoch: [75][220/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.53715 (0.60911)  Accuracy@1 79.688 (73.819)  Accuracy@5 100.000 (100.000)    
Epoch: [75][240/365]    Time 0.790s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.42691 (0.60966)  Accuracy@1 82.812 (73.807)  Accuracy@5 100.000 (100.000)    
Epoch: [75][260/365]    Time 0.794s (0.792s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 0.71552 (0.60954)  Accuracy@1 71.875 (73.767)  Accuracy@5 100.000 (100.000)    
Epoch: [75][280/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.61119 (0.60797)  Accuracy@1 76.562 (73.849)  Accuracy@5 100.000 (100.000)    
Epoch: [75][300/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.51921 (0.60969)  Accuracy@1 79.688 (73.806)  Accuracy@5 100.000 (100.000)    
Epoch: [75][320/365]    Time 0.793s (0.791s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.47276 (0.60857)  Accuracy@1 82.812 (73.846)  Accuracy@5 100.000 (100.000)    
Epoch: [75][340/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.65431 (0.60903)  Accuracy@1 75.000 (73.804)  Accuracy@5 100.000 (100.000)    
Epoch: [75][360/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.58468 (0.60825)  Accuracy@1 65.625 (73.827)  Accuracy@5 100.000 (100.000)    
Test: Time 0.343    Loss 0.7298 Error@1 31.025  Error@5 0.000   Accuracy@1 68.975   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [76][0/365]  Time 1.401s (1.401s)    Speed 45.7 samples/s    Data 0.536s (0.536s)    Loss 0.51075 (0.51075)  Accuracy@1 79.688 (79.688)  Accuracy@5 100.000 (100.000)    
Epoch: [76][20/365] Time 0.787s (0.824s)    Speed 81.3 samples/s    Data 0.000s (0.026s)    Loss 0.62184 (0.62861)  Accuracy@1 70.312 (73.363)  Accuracy@5 100.000 (100.000)    
Epoch: [76][40/365] Time 0.793s (0.807s)    Speed 80.7 samples/s    Data 0.000s (0.014s)    Loss 0.83498 (0.63860)  Accuracy@1 68.750 (72.790)  Accuracy@5 100.000 (100.000)    
Epoch: [76][60/365] Time 0.788s (0.802s)    Speed 81.3 samples/s    Data 0.000s (0.009s)    Loss 0.63788 (0.62893)  Accuracy@1 67.188 (73.156)  Accuracy@5 100.000 (100.000)    
Epoch: [76][80/365] Time 0.791s (0.798s)    Speed 80.9 samples/s    Data 0.000s (0.007s)    Loss 0.65361 (0.63065)  Accuracy@1 76.562 (73.110)  Accuracy@5 100.000 (100.000)    
Epoch: [76][100/365]    Time 0.784s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.006s)    Loss 0.59369 (0.62773)  Accuracy@1 79.688 (73.252)  Accuracy@5 100.000 (100.000)    
Epoch: [76][120/365]    Time 0.783s (0.795s)    Speed 81.7 samples/s    Data 0.000s (0.005s)    Loss 0.54470 (0.61566)  Accuracy@1 75.000 (73.605)  Accuracy@5 100.000 (100.000)    
Epoch: [76][140/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.69317 (0.61242)  Accuracy@1 67.188 (73.914)  Accuracy@5 100.000 (100.000)    
Epoch: [76][160/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.62263 (0.61358)  Accuracy@1 71.875 (73.884)  Accuracy@5 100.000 (100.000)    
Epoch: [76][180/365]    Time 0.792s (0.793s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.56013 (0.61163)  Accuracy@1 70.312 (73.947)  Accuracy@5 100.000 (100.000)    
Epoch: [76][200/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.56785 (0.61387)  Accuracy@1 82.812 (73.881)  Accuracy@5 100.000 (100.000)    
Epoch: [76][220/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.76744 (0.61408)  Accuracy@1 70.312 (73.833)  Accuracy@5 100.000 (100.000)    
Epoch: [76][240/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.60804 (0.61493)  Accuracy@1 71.875 (73.839)  Accuracy@5 100.000 (100.000)    
Epoch: [76][260/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.55959 (0.61417)  Accuracy@1 79.688 (73.940)  Accuracy@5 100.000 (100.000)    
Epoch: [76][280/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.51253 (0.61611)  Accuracy@1 75.000 (73.788)  Accuracy@5 100.000 (100.000)    
Epoch: [76][300/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.74156 (0.61746)  Accuracy@1 59.375 (73.713)  Accuracy@5 100.000 (100.000)    
Epoch: [76][320/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.72775 (0.61752)  Accuracy@1 79.688 (73.671)  Accuracy@5 100.000 (100.000)    
Epoch: [76][340/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.54836 (0.61602)  Accuracy@1 75.000 (73.726)  Accuracy@5 100.000 (100.000)    
Epoch: [76][360/365]    Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.69729 (0.61512)  Accuracy@1 70.312 (73.805)  Accuracy@5 100.000 (100.000)    
Test: Time 0.341    Loss 0.7317 Error@1 30.937  Error@5 0.000   Accuracy@1 69.063   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [77][0/365]  Time 1.450s (1.450s)    Speed 44.1 samples/s    Data 0.576s (0.576s)    Loss 0.59671 (0.59671)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [77][20/365] Time 0.787s (0.828s)    Speed 81.3 samples/s    Data 0.000s (0.028s)    Loss 0.66310 (0.61274)  Accuracy@1 67.188 (72.619)  Accuracy@5 100.000 (100.000)    
Epoch: [77][40/365] Time 0.786s (0.809s)    Speed 81.4 samples/s    Data 0.000s (0.014s)    Loss 0.67725 (0.59802)  Accuracy@1 68.750 (73.857)  Accuracy@5 100.000 (100.000)    
Epoch: [77][60/365] Time 0.798s (0.803s)    Speed 80.2 samples/s    Data 0.000s (0.010s)    Loss 0.60916 (0.60541)  Accuracy@1 79.688 (73.642)  Accuracy@5 100.000 (100.000)    
Epoch: [77][80/365] Time 0.788s (0.800s)    Speed 81.2 samples/s    Data 0.000s (0.007s)    Loss 0.65640 (0.60460)  Accuracy@1 68.750 (73.881)  Accuracy@5 100.000 (100.000)    
Epoch: [77][100/365]    Time 0.790s (0.797s)    Speed 81.0 samples/s    Data 0.000s (0.006s)    Loss 0.76096 (0.60942)  Accuracy@1 67.188 (73.577)  Accuracy@5 100.000 (100.000)    
Epoch: [77][120/365]    Time 0.790s (0.796s)    Speed 81.0 samples/s    Data 0.000s (0.005s)    Loss 0.50956 (0.61120)  Accuracy@1 75.000 (73.528)  Accuracy@5 100.000 (100.000)    
Epoch: [77][140/365]    Time 0.788s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.59662 (0.60790)  Accuracy@1 76.562 (73.670)  Accuracy@5 100.000 (100.000)    
Epoch: [77][160/365]    Time 0.792s (0.794s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.71690 (0.61198)  Accuracy@1 68.750 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [77][180/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.73949 (0.61228)  Accuracy@1 64.062 (73.368)  Accuracy@5 100.000 (100.000)    
Epoch: [77][200/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.78609 (0.61285)  Accuracy@1 57.812 (73.321)  Accuracy@5 100.000 (100.000)    
Epoch: [77][220/365]    Time 0.793s (0.793s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.81357 (0.61310)  Accuracy@1 65.625 (73.324)  Accuracy@5 100.000 (100.000)    
Epoch: [77][240/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.55184 (0.61216)  Accuracy@1 76.562 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [77][260/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.44939 (0.60989)  Accuracy@1 79.688 (73.575)  Accuracy@5 100.000 (100.000)    
Epoch: [77][280/365]    Time 0.796s (0.792s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 0.71146 (0.60977)  Accuracy@1 67.188 (73.588)  Accuracy@5 100.000 (100.000)    
Epoch: [77][300/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.78156 (0.60898)  Accuracy@1 75.000 (73.588)  Accuracy@5 100.000 (100.000)    
Epoch: [77][320/365]    Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.51154 (0.60907)  Accuracy@1 76.562 (73.647)  Accuracy@5 100.000 (100.000)    
Epoch: [77][340/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.63701 (0.61122)  Accuracy@1 75.000 (73.580)  Accuracy@5 100.000 (100.000)    
Epoch: [77][360/365]    Time 0.798s (0.791s)    Speed 80.2 samples/s    Data 0.000s (0.002s)    Loss 0.49417 (0.61082)  Accuracy@1 81.250 (73.624)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7303 Error@1 31.265  Error@5 0.000   Accuracy@1 68.735   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [78][0/365]  Time 1.384s (1.384s)    Speed 46.3 samples/s    Data 0.518s (0.518s)    Loss 0.49820 (0.49820)  Accuracy@1 82.812 (82.812)  Accuracy@5 100.000 (100.000)    
Epoch: [78][20/365] Time 0.788s (0.827s)    Speed 81.2 samples/s    Data 0.000s (0.025s)    Loss 0.58428 (0.62020)  Accuracy@1 75.000 (72.991)  Accuracy@5 100.000 (100.000)    
Epoch: [78][40/365] Time 0.784s (0.808s)    Speed 81.6 samples/s    Data 0.000s (0.013s)    Loss 0.50396 (0.60992)  Accuracy@1 75.000 (73.247)  Accuracy@5 100.000 (100.000)    
Epoch: [78][60/365] Time 0.785s (0.802s)    Speed 81.5 samples/s    Data 0.000s (0.009s)    Loss 0.60327 (0.60714)  Accuracy@1 68.750 (73.770)  Accuracy@5 100.000 (100.000)    
Epoch: [78][80/365] Time 0.785s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.007s)    Loss 0.52395 (0.61099)  Accuracy@1 78.125 (73.785)  Accuracy@5 100.000 (100.000)    
Epoch: [78][100/365]    Time 0.787s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.73598 (0.61028)  Accuracy@1 68.750 (73.592)  Accuracy@5 100.000 (100.000)    
Epoch: [78][120/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.63656 (0.61021)  Accuracy@1 75.000 (73.812)  Accuracy@5 100.000 (100.000)    
Epoch: [78][140/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.67981 (0.61634)  Accuracy@1 68.750 (73.692)  Accuracy@5 100.000 (100.000)    
Epoch: [78][160/365]    Time 0.784s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.004s)    Loss 0.58384 (0.61416)  Accuracy@1 81.250 (73.816)  Accuracy@5 100.000 (100.000)    
Epoch: [78][180/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.71336 (0.61134)  Accuracy@1 75.000 (73.981)  Accuracy@5 100.000 (100.000)    
Epoch: [78][200/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.60212 (0.60800)  Accuracy@1 71.875 (74.168)  Accuracy@5 100.000 (100.000)    
Epoch: [78][220/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.64258 (0.61052)  Accuracy@1 68.750 (73.890)  Accuracy@5 100.000 (100.000)    
Epoch: [78][240/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.52625 (0.60872)  Accuracy@1 78.125 (73.989)  Accuracy@5 100.000 (100.000)    
Epoch: [78][260/365]    Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.63724 (0.60523)  Accuracy@1 70.312 (74.114)  Accuracy@5 100.000 (100.000)    
Epoch: [78][280/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.54662 (0.60444)  Accuracy@1 76.562 (73.994)  Accuracy@5 100.000 (100.000)    
Epoch: [78][300/365]    Time 0.788s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.68440 (0.60739)  Accuracy@1 71.875 (73.822)  Accuracy@5 100.000 (100.000)    
Epoch: [78][320/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.75621 (0.60434)  Accuracy@1 60.938 (74.017)  Accuracy@5 100.000 (100.000)    
Epoch: [78][340/365]    Time 0.789s (0.790s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.56502 (0.60447)  Accuracy@1 71.875 (74.093)  Accuracy@5 100.000 (100.000)    
Epoch: [78][360/365]    Time 0.794s (0.790s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.55609 (0.60320)  Accuracy@1 71.875 (74.087)  Accuracy@5 100.000 (100.000)    
Test: Time 0.342    Loss 0.7293 Error@1 31.178  Error@5 0.000   Accuracy@1 68.822   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [79][0/365]  Time 1.437s (1.437s)    Speed 44.5 samples/s    Data 0.592s (0.592s)    Loss 0.77459 (0.77459)  Accuracy@1 62.500 (62.500)  Accuracy@5 100.000 (100.000)    
Epoch: [79][20/365] Time 0.792s (0.832s)    Speed 80.8 samples/s    Data 0.000s (0.029s)    Loss 0.63212 (0.61062)  Accuracy@1 70.312 (71.652)  Accuracy@5 100.000 (100.000)    
Epoch: [79][40/365] Time 0.790s (0.810s)    Speed 81.0 samples/s    Data 0.000s (0.015s)    Loss 0.67382 (0.61184)  Accuracy@1 71.875 (73.056)  Accuracy@5 100.000 (100.000)    
Epoch: [79][60/365] Time 0.787s (0.803s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.48920 (0.61002)  Accuracy@1 82.812 (73.489)  Accuracy@5 100.000 (100.000)    
Epoch: [79][80/365] Time 0.786s (0.799s)    Speed 81.5 samples/s    Data 0.000s (0.008s)    Loss 0.72137 (0.60900)  Accuracy@1 73.438 (73.746)  Accuracy@5 100.000 (100.000)    
Epoch: [79][100/365]    Time 0.783s (0.797s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 0.50749 (0.61976)  Accuracy@1 76.562 (73.453)  Accuracy@5 100.000 (100.000)    
Epoch: [79][120/365]    Time 0.795s (0.796s)    Speed 80.5 samples/s    Data 0.000s (0.005s)    Loss 0.58556 (0.61676)  Accuracy@1 70.312 (73.502)  Accuracy@5 100.000 (100.000)    
Epoch: [79][140/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.54277 (0.61583)  Accuracy@1 81.250 (73.526)  Accuracy@5 100.000 (100.000)    
Epoch: [79][160/365]    Time 0.786s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.54941 (0.61142)  Accuracy@1 75.000 (73.865)  Accuracy@5 100.000 (100.000)    
Epoch: [79][180/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.57296 (0.61110)  Accuracy@1 79.688 (73.835)  Accuracy@5 100.000 (100.000)    
Epoch: [79][200/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.55826 (0.61013)  Accuracy@1 75.000 (73.927)  Accuracy@5 100.000 (100.000)    
Epoch: [79][220/365]    Time 0.792s (0.792s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.49467 (0.61104)  Accuracy@1 76.562 (73.805)  Accuracy@5 100.000 (100.000)    
Epoch: [79][240/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.69550 (0.60959)  Accuracy@1 71.875 (73.956)  Accuracy@5 100.000 (100.000)    
Epoch: [79][260/365]    Time 0.788s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.43517 (0.60943)  Accuracy@1 85.938 (74.006)  Accuracy@5 100.000 (100.000)    
Epoch: [79][280/365]    Time 0.784s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.71114 (0.61065)  Accuracy@1 68.750 (73.893)  Accuracy@5 100.000 (100.000)    
Epoch: [79][300/365]    Time 0.782s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.67842 (0.60985)  Accuracy@1 70.312 (73.998)  Accuracy@5 100.000 (100.000)    
Epoch: [79][320/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.55694 (0.61119)  Accuracy@1 75.000 (73.837)  Accuracy@5 100.000 (100.000)    
Epoch: [79][340/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.39652 (0.61018)  Accuracy@1 89.062 (73.909)  Accuracy@5 100.000 (100.000)    
Epoch: [79][360/365]    Time 0.793s (0.791s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.85642 (0.61072)  Accuracy@1 64.062 (73.862)  Accuracy@5 100.000 (100.000)    
Test: Time 0.342    Loss 0.7308 Error@1 31.025  Error@5 0.000   Accuracy@1 68.975   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [80][0/365]  Time 1.441s (1.441s)    Speed 44.4 samples/s    Data 0.582s (0.582s)    Loss 0.65685 (0.65685)  Accuracy@1 75.000 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [80][20/365] Time 0.789s (0.825s)    Speed 81.1 samples/s    Data 0.000s (0.028s)    Loss 0.73672 (0.59024)  Accuracy@1 62.500 (74.554)  Accuracy@5 100.000 (100.000)    
Epoch: [80][40/365] Time 0.784s (0.807s)    Speed 81.7 samples/s    Data 0.000s (0.015s)    Loss 0.60135 (0.59054)  Accuracy@1 71.875 (74.962)  Accuracy@5 100.000 (100.000)    
Epoch: [80][60/365] Time 0.785s (0.801s)    Speed 81.6 samples/s    Data 0.000s (0.010s)    Loss 0.69481 (0.58881)  Accuracy@1 70.312 (75.359)  Accuracy@5 100.000 (100.000)    
Epoch: [80][80/365] Time 0.787s (0.798s)    Speed 81.4 samples/s    Data 0.000s (0.008s)    Loss 0.41981 (0.58847)  Accuracy@1 82.812 (75.444)  Accuracy@5 100.000 (100.000)    
Epoch: [80][100/365]    Time 0.786s (0.796s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.64957 (0.59232)  Accuracy@1 76.562 (75.046)  Accuracy@5 100.000 (100.000)    
Epoch: [80][120/365]    Time 0.794s (0.795s)    Speed 80.6 samples/s    Data 0.000s (0.005s)    Loss 0.78419 (0.59586)  Accuracy@1 59.375 (74.626)  Accuracy@5 100.000 (100.000)    
Epoch: [80][140/365]    Time 0.796s (0.794s)    Speed 80.4 samples/s    Data 0.000s (0.004s)    Loss 0.69695 (0.59358)  Accuracy@1 73.438 (74.756)  Accuracy@5 100.000 (100.000)    
Epoch: [80][160/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.64043 (0.59817)  Accuracy@1 71.875 (74.437)  Accuracy@5 100.000 (100.000)    
Epoch: [80][180/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.75173 (0.60083)  Accuracy@1 68.750 (74.456)  Accuracy@5 100.000 (100.000)    
Epoch: [80][200/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.83876 (0.60222)  Accuracy@1 65.625 (74.254)  Accuracy@5 100.000 (100.000)    
Epoch: [80][220/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.66859 (0.60495)  Accuracy@1 73.438 (74.159)  Accuracy@5 100.000 (100.000)    
Epoch: [80][240/365]    Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.61128 (0.60638)  Accuracy@1 75.000 (74.118)  Accuracy@5 100.000 (100.000)    
Epoch: [80][260/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.53517 (0.60497)  Accuracy@1 73.438 (74.276)  Accuracy@5 100.000 (100.000)    
Epoch: [80][280/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.62514 (0.60299)  Accuracy@1 70.312 (74.244)  Accuracy@5 100.000 (100.000)    
Epoch: [80][300/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.75316 (0.60455)  Accuracy@1 67.188 (74.185)  Accuracy@5 100.000 (100.000)    
Epoch: [80][320/365]    Time 0.789s (0.791s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.53459 (0.60760)  Accuracy@1 76.562 (74.012)  Accuracy@5 100.000 (100.000)    
Epoch: [80][340/365]    Time 0.794s (0.791s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.46505 (0.60751)  Accuracy@1 82.812 (74.052)  Accuracy@5 100.000 (100.000)    
Epoch: [80][360/365]    Time 0.785s (0.790s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.55949 (0.60835)  Accuracy@1 75.000 (74.039)  Accuracy@5 100.000 (100.000)    
Test: Time 0.341    Loss 0.7323 Error@1 30.784  Error@5 0.000   Accuracy@1 69.216   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [81][0/365]  Time 1.442s (1.442s)    Speed 44.4 samples/s    Data 0.592s (0.592s)    Loss 0.56970 (0.56970)  Accuracy@1 71.875 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [81][20/365] Time 0.786s (0.832s)    Speed 81.4 samples/s    Data 0.000s (0.029s)    Loss 0.68781 (0.59861)  Accuracy@1 70.312 (73.884)  Accuracy@5 100.000 (100.000)    
Epoch: [81][40/365] Time 0.790s (0.811s)    Speed 81.0 samples/s    Data 0.000s (0.015s)    Loss 0.59785 (0.59380)  Accuracy@1 71.875 (75.152)  Accuracy@5 100.000 (100.000)    
Epoch: [81][60/365] Time 0.790s (0.804s)    Speed 81.0 samples/s    Data 0.000s (0.010s)    Loss 0.59733 (0.58938)  Accuracy@1 71.875 (75.307)  Accuracy@5 100.000 (100.000)    
Epoch: [81][80/365] Time 0.786s (0.800s)    Speed 81.4 samples/s    Data 0.000s (0.008s)    Loss 0.61904 (0.58815)  Accuracy@1 76.562 (75.598)  Accuracy@5 100.000 (100.000)    
Epoch: [81][100/365]    Time 0.786s (0.797s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.67193 (0.59617)  Accuracy@1 71.875 (75.309)  Accuracy@5 100.000 (100.000)    
Epoch: [81][120/365]    Time 0.792s (0.796s)    Speed 80.8 samples/s    Data 0.000s (0.005s)    Loss 0.74084 (0.59243)  Accuracy@1 68.750 (75.194)  Accuracy@5 100.000 (100.000)    
Epoch: [81][140/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.52197 (0.59141)  Accuracy@1 79.688 (75.111)  Accuracy@5 100.000 (100.000)    
Epoch: [81][160/365]    Time 0.793s (0.794s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.74687 (0.59766)  Accuracy@1 64.062 (74.777)  Accuracy@5 100.000 (100.000)    
Epoch: [81][180/365]    Time 0.783s (0.793s)    Speed 81.8 samples/s    Data 0.000s (0.004s)    Loss 0.53777 (0.59895)  Accuracy@1 71.875 (74.517)  Accuracy@5 100.000 (100.000)    
Epoch: [81][200/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.50125 (0.59869)  Accuracy@1 78.125 (74.588)  Accuracy@5 100.000 (100.000)    
Epoch: [81][220/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.48175 (0.59824)  Accuracy@1 81.250 (74.583)  Accuracy@5 100.000 (100.000)    
Epoch: [81][240/365]    Time 0.785s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.49801 (0.59988)  Accuracy@1 78.125 (74.566)  Accuracy@5 100.000 (100.000)    
Epoch: [81][260/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.68232 (0.59998)  Accuracy@1 75.000 (74.593)  Accuracy@5 100.000 (100.000)    
Epoch: [81][280/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.72678 (0.60154)  Accuracy@1 64.062 (74.422)  Accuracy@5 100.000 (100.000)    
Epoch: [81][300/365]    Time 0.795s (0.791s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.56373 (0.59929)  Accuracy@1 82.812 (74.564)  Accuracy@5 100.000 (100.000)    
Epoch: [81][320/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.73212 (0.60032)  Accuracy@1 75.000 (74.572)  Accuracy@5 100.000 (100.000)    
Epoch: [81][340/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.78677 (0.59968)  Accuracy@1 71.875 (74.560)  Accuracy@5 100.000 (100.000)    
Epoch: [81][360/365]    Time 0.783s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.53531 (0.59913)  Accuracy@1 79.688 (74.606)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.7348 Error@1 30.981  Error@5 0.000   Accuracy@1 69.019   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [82][0/365]  Time 1.397s (1.397s)    Speed 45.8 samples/s    Data 0.535s (0.535s)    Loss 0.64640 (0.64640)  Accuracy@1 73.438 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [82][20/365] Time 0.790s (0.829s)    Speed 81.1 samples/s    Data 0.000s (0.026s)    Loss 0.53738 (0.61534)  Accuracy@1 78.125 (74.182)  Accuracy@5 100.000 (100.000)    
Epoch: [82][40/365] Time 0.783s (0.808s)    Speed 81.8 samples/s    Data 0.000s (0.013s)    Loss 0.58259 (0.60189)  Accuracy@1 78.125 (74.505)  Accuracy@5 100.000 (100.000)    
Epoch: [82][60/365] Time 0.785s (0.801s)    Speed 81.5 samples/s    Data 0.000s (0.009s)    Loss 0.73999 (0.60759)  Accuracy@1 71.875 (74.436)  Accuracy@5 100.000 (100.000)    
Epoch: [82][80/365] Time 0.785s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.007s)    Loss 0.56593 (0.60180)  Accuracy@1 73.438 (74.576)  Accuracy@5 100.000 (100.000)    
Epoch: [82][100/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.56716 (0.60545)  Accuracy@1 71.875 (74.428)  Accuracy@5 100.000 (100.000)    
Epoch: [82][120/365]    Time 0.787s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.91435 (0.61197)  Accuracy@1 62.500 (74.032)  Accuracy@5 100.000 (100.000)    
Epoch: [82][140/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.72571 (0.61375)  Accuracy@1 68.750 (74.025)  Accuracy@5 100.000 (100.000)    
Epoch: [82][160/365]    Time 0.788s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.57424 (0.61617)  Accuracy@1 68.750 (73.787)  Accuracy@5 100.000 (100.000)    
Epoch: [82][180/365]    Time 0.794s (0.793s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 0.63158 (0.61530)  Accuracy@1 73.438 (74.042)  Accuracy@5 100.000 (100.000)    
Epoch: [82][200/365]    Time 0.788s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.58355 (0.61601)  Accuracy@1 71.875 (74.067)  Accuracy@5 100.000 (100.000)    
Epoch: [82][220/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.70643 (0.61392)  Accuracy@1 75.000 (74.321)  Accuracy@5 100.000 (100.000)    
Epoch: [82][240/365]    Time 0.784s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.49469 (0.61398)  Accuracy@1 85.938 (74.300)  Accuracy@5 100.000 (100.000)    
Epoch: [82][260/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.56827 (0.61475)  Accuracy@1 73.438 (74.204)  Accuracy@5 100.000 (100.000)    
Epoch: [82][280/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.49282 (0.61456)  Accuracy@1 79.688 (74.194)  Accuracy@5 100.000 (100.000)    
Epoch: [82][300/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.63189 (0.61253)  Accuracy@1 68.750 (74.169)  Accuracy@5 100.000 (100.000)    
Epoch: [82][320/365]    Time 0.787s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.45703 (0.61058)  Accuracy@1 81.250 (74.211)  Accuracy@5 100.000 (100.000)    
Epoch: [82][340/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.57205 (0.60855)  Accuracy@1 71.875 (74.216)  Accuracy@5 100.000 (100.000)    
Epoch: [82][360/365]    Time 0.787s (0.790s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.53898 (0.60762)  Accuracy@1 78.125 (74.212)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.7329 Error@1 30.784  Error@5 0.000   Accuracy@1 69.216   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [83][0/365]  Time 1.499s (1.499s)    Speed 42.7 samples/s    Data 0.625s (0.625s)    Loss 0.60333 (0.60333)  Accuracy@1 71.875 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [83][20/365] Time 0.788s (0.835s)    Speed 81.2 samples/s    Data 0.000s (0.030s)    Loss 0.57221 (0.60433)  Accuracy@1 81.250 (73.958)  Accuracy@5 100.000 (100.000)    
Epoch: [83][40/365] Time 0.795s (0.812s)    Speed 80.5 samples/s    Data 0.000s (0.016s)    Loss 0.47498 (0.60069)  Accuracy@1 81.250 (74.543)  Accuracy@5 100.000 (100.000)    
Epoch: [83][60/365] Time 0.789s (0.805s)    Speed 81.1 samples/s    Data 0.000s (0.011s)    Loss 0.58280 (0.58968)  Accuracy@1 78.125 (74.488)  Accuracy@5 100.000 (100.000)    
Epoch: [83][80/365] Time 0.796s (0.801s)    Speed 80.4 samples/s    Data 0.000s (0.008s)    Loss 0.69235 (0.58950)  Accuracy@1 64.062 (74.363)  Accuracy@5 100.000 (100.000)    
Epoch: [83][100/365]    Time 0.788s (0.798s)    Speed 81.2 samples/s    Data 0.000s (0.007s)    Loss 0.58227 (0.59442)  Accuracy@1 75.000 (74.103)  Accuracy@5 100.000 (100.000)    
Epoch: [83][120/365]    Time 0.785s (0.797s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.66489 (0.59915)  Accuracy@1 67.188 (73.980)  Accuracy@5 100.000 (100.000)    
Epoch: [83][140/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.005s)    Loss 0.67947 (0.60866)  Accuracy@1 70.312 (73.615)  Accuracy@5 100.000 (100.000)    
Epoch: [83][160/365]    Time 0.787s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.90971 (0.61345)  Accuracy@1 64.062 (73.564)  Accuracy@5 100.000 (100.000)    
Epoch: [83][180/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.69053 (0.61677)  Accuracy@1 70.312 (73.567)  Accuracy@5 100.000 (100.000)    
Epoch: [83][200/365]    Time 0.793s (0.794s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.52916 (0.61535)  Accuracy@1 76.562 (73.546)  Accuracy@5 100.000 (100.000)    
Epoch: [83][220/365]    Time 0.792s (0.793s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.58541 (0.61395)  Accuracy@1 73.438 (73.678)  Accuracy@5 100.000 (100.000)    
Epoch: [83][240/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.53946 (0.61154)  Accuracy@1 78.125 (73.814)  Accuracy@5 100.000 (100.000)    
Epoch: [83][260/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.63491 (0.60721)  Accuracy@1 65.625 (73.946)  Accuracy@5 100.000 (100.000)    
Epoch: [83][280/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.63977 (0.60352)  Accuracy@1 76.562 (74.099)  Accuracy@5 100.000 (100.000)    
Epoch: [83][300/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.57879 (0.60470)  Accuracy@1 75.000 (74.055)  Accuracy@5 100.000 (100.000)    
Epoch: [83][320/365]    Time 0.797s (0.792s)    Speed 80.3 samples/s    Data 0.000s (0.002s)    Loss 0.67460 (0.60603)  Accuracy@1 70.312 (73.953)  Accuracy@5 100.000 (100.000)    
Epoch: [83][340/365]    Time 0.790s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.62176 (0.60802)  Accuracy@1 73.438 (73.909)  Accuracy@5 100.000 (100.000)    
Epoch: [83][360/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.53808 (0.60768)  Accuracy@1 79.688 (73.992)  Accuracy@5 100.000 (100.000)    
Test: Time 0.343    Loss 0.7309 Error@1 30.828  Error@5 0.000   Accuracy@1 69.172   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [84][0/365]  Time 1.480s (1.480s)    Speed 43.2 samples/s    Data 0.629s (0.629s)    Loss 0.55754 (0.55754)  Accuracy@1 78.125 (78.125)  Accuracy@5 100.000 (100.000)    
Epoch: [84][20/365] Time 0.789s (0.832s)    Speed 81.1 samples/s    Data 0.000s (0.031s)    Loss 0.63231 (0.58186)  Accuracy@1 71.875 (75.372)  Accuracy@5 100.000 (100.000)    
Epoch: [84][40/365] Time 0.787s (0.812s)    Speed 81.3 samples/s    Data 0.000s (0.016s)    Loss 0.55887 (0.57716)  Accuracy@1 73.438 (75.343)  Accuracy@5 100.000 (100.000)    
Epoch: [84][60/365] Time 0.787s (0.804s)    Speed 81.3 samples/s    Data 0.000s (0.011s)    Loss 0.52556 (0.59465)  Accuracy@1 78.125 (74.821)  Accuracy@5 100.000 (100.000)    
Epoch: [84][80/365] Time 0.788s (0.800s)    Speed 81.2 samples/s    Data 0.000s (0.008s)    Loss 0.58154 (0.59598)  Accuracy@1 78.125 (74.846)  Accuracy@5 100.000 (100.000)    
Epoch: [84][100/365]    Time 0.785s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.007s)    Loss 0.70142 (0.59955)  Accuracy@1 70.312 (74.706)  Accuracy@5 100.000 (100.000)    
Epoch: [84][120/365]    Time 0.784s (0.796s)    Speed 81.7 samples/s    Data 0.000s (0.006s)    Loss 0.52732 (0.59636)  Accuracy@1 78.125 (74.871)  Accuracy@5 100.000 (100.000)    
Epoch: [84][140/365]    Time 0.785s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.65424 (0.59473)  Accuracy@1 67.188 (75.177)  Accuracy@5 100.000 (100.000)    
Epoch: [84][160/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.61491 (0.59454)  Accuracy@1 68.750 (75.087)  Accuracy@5 100.000 (100.000)    
Epoch: [84][180/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.61985 (0.59760)  Accuracy@1 70.312 (74.776)  Accuracy@5 100.000 (100.000)    
Epoch: [84][200/365]    Time 0.793s (0.793s)    Speed 80.7 samples/s    Data 0.000s (0.003s)    Loss 0.66968 (0.59674)  Accuracy@1 67.188 (74.743)  Accuracy@5 100.000 (100.000)    
Epoch: [84][220/365]    Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.77725 (0.60076)  Accuracy@1 67.188 (74.533)  Accuracy@5 100.000 (100.000)    
Epoch: [84][240/365]    Time 0.778s (0.792s)    Speed 82.3 samples/s    Data 0.000s (0.003s)    Loss 0.61521 (0.59901)  Accuracy@1 68.750 (74.611)  Accuracy@5 100.000 (100.000)    
Epoch: [84][260/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.56240 (0.59748)  Accuracy@1 75.000 (74.671)  Accuracy@5 100.000 (100.000)    
Epoch: [84][280/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.61935 (0.59987)  Accuracy@1 73.438 (74.611)  Accuracy@5 100.000 (100.000)    
Epoch: [84][300/365]    Time 0.794s (0.791s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.72488 (0.59928)  Accuracy@1 65.625 (74.590)  Accuracy@5 100.000 (100.000)    
Epoch: [84][320/365]    Time 0.785s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.55840 (0.59958)  Accuracy@1 73.438 (74.469)  Accuracy@5 100.000 (100.000)    
Epoch: [84][340/365]    Time 0.792s (0.791s)    Speed 80.8 samples/s    Data 0.000s (0.002s)    Loss 0.47324 (0.59680)  Accuracy@1 82.812 (74.652)  Accuracy@5 100.000 (100.000)    
Epoch: [84][360/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.42523 (0.59706)  Accuracy@1 84.375 (74.580)  Accuracy@5 100.000 (100.000)    
Test: Time 0.345    Loss 0.7297 Error@1 30.675  Error@5 0.000   Accuracy@1 69.325   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [85][0/365]  Time 1.438s (1.438s)    Speed 44.5 samples/s    Data 0.560s (0.560s)    Loss 0.60983 (0.60983)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [85][20/365] Time 0.786s (0.829s)    Speed 81.5 samples/s    Data 0.000s (0.027s)    Loss 0.47483 (0.59841)  Accuracy@1 81.250 (75.149)  Accuracy@5 100.000 (100.000)    
Epoch: [85][40/365] Time 0.800s (0.810s)    Speed 80.0 samples/s    Data 0.000s (0.014s)    Loss 0.59835 (0.60560)  Accuracy@1 70.312 (74.314)  Accuracy@5 100.000 (100.000)    
Epoch: [85][60/365] Time 0.788s (0.803s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.51092 (0.60330)  Accuracy@1 79.688 (74.257)  Accuracy@5 100.000 (100.000)    
Epoch: [85][80/365] Time 0.788s (0.799s)    Speed 81.2 samples/s    Data 0.000s (0.007s)    Loss 0.61845 (0.60945)  Accuracy@1 73.438 (73.997)  Accuracy@5 100.000 (100.000)    
Epoch: [85][100/365]    Time 0.786s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.90481 (0.60708)  Accuracy@1 62.500 (74.335)  Accuracy@5 100.000 (100.000)    
Epoch: [85][120/365]    Time 0.785s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.67664 (0.60326)  Accuracy@1 75.000 (74.303)  Accuracy@5 100.000 (100.000)    
Epoch: [85][140/365]    Time 0.786s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.73367 (0.60096)  Accuracy@1 68.750 (74.169)  Accuracy@5 100.000 (100.000)    
Epoch: [85][160/365]    Time 0.795s (0.794s)    Speed 80.5 samples/s    Data 0.000s (0.004s)    Loss 0.60798 (0.60395)  Accuracy@1 76.562 (74.224)  Accuracy@5 100.000 (100.000)    
Epoch: [85][180/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.73234 (0.60252)  Accuracy@1 73.438 (74.258)  Accuracy@5 100.000 (100.000)    
Epoch: [85][200/365]    Time 0.782s (0.793s)    Speed 81.8 samples/s    Data 0.000s (0.003s)    Loss 0.66259 (0.59997)  Accuracy@1 68.750 (74.300)  Accuracy@5 100.000 (100.000)    
Epoch: [85][220/365]    Time 0.783s (0.792s)    Speed 81.7 samples/s    Data 0.000s (0.003s)    Loss 0.58818 (0.60272)  Accuracy@1 71.875 (74.208)  Accuracy@5 100.000 (100.000)    
Epoch: [85][240/365]    Time 0.792s (0.792s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.58273 (0.60297)  Accuracy@1 76.562 (74.157)  Accuracy@5 100.000 (100.000)    
Epoch: [85][260/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.66780 (0.60632)  Accuracy@1 70.312 (74.000)  Accuracy@5 100.000 (100.000)    
Epoch: [85][280/365]    Time 0.793s (0.792s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.81458 (0.60690)  Accuracy@1 65.625 (74.005)  Accuracy@5 100.000 (100.000)    
Epoch: [85][300/365]    Time 0.794s (0.791s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.53581 (0.60703)  Accuracy@1 75.000 (73.993)  Accuracy@5 100.000 (100.000)    
Epoch: [85][320/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.58416 (0.60600)  Accuracy@1 73.438 (74.075)  Accuracy@5 100.000 (100.000)    
Epoch: [85][340/365]    Time 0.787s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.68849 (0.60611)  Accuracy@1 67.188 (74.079)  Accuracy@5 100.000 (100.000)    
Epoch: [85][360/365]    Time 0.808s (0.791s)    Speed 79.2 samples/s    Data 0.000s (0.002s)    Loss 0.63841 (0.60484)  Accuracy@1 73.438 (74.078)  Accuracy@5 100.000 (100.000)    
Test: Time 0.340    Loss 0.7353 Error@1 30.653  Error@5 0.000   Accuracy@1 69.347   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [86][0/365]  Time 1.473s (1.473s)    Speed 43.4 samples/s    Data 0.611s (0.611s)    Loss 0.68107 (0.68107)  Accuracy@1 68.750 (68.750)  Accuracy@5 100.000 (100.000)    
Epoch: [86][20/365] Time 0.788s (0.832s)    Speed 81.3 samples/s    Data 0.000s (0.030s)    Loss 0.51955 (0.61542)  Accuracy@1 79.688 (74.702)  Accuracy@5 100.000 (100.000)    
Epoch: [86][40/365] Time 0.786s (0.811s)    Speed 81.4 samples/s    Data 0.000s (0.015s)    Loss 0.44865 (0.59441)  Accuracy@1 82.812 (74.886)  Accuracy@5 100.000 (100.000)    
Epoch: [86][60/365] Time 0.788s (0.803s)    Speed 81.3 samples/s    Data 0.000s (0.010s)    Loss 0.53689 (0.58952)  Accuracy@1 76.562 (74.718)  Accuracy@5 100.000 (100.000)    
Epoch: [86][80/365] Time 0.797s (0.800s)    Speed 80.3 samples/s    Data 0.000s (0.008s)    Loss 0.66179 (0.59903)  Accuracy@1 76.562 (74.035)  Accuracy@5 100.000 (100.000)    
Epoch: [86][100/365]    Time 0.788s (0.797s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.56788 (0.59231)  Accuracy@1 71.875 (74.304)  Accuracy@5 100.000 (100.000)    
Epoch: [86][120/365]    Time 0.785s (0.796s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.60710 (0.59827)  Accuracy@1 84.375 (74.096)  Accuracy@5 100.000 (100.000)    
Epoch: [86][140/365]    Time 0.784s (0.795s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.65772 (0.60225)  Accuracy@1 71.875 (74.014)  Accuracy@5 100.000 (100.000)    
Epoch: [86][160/365]    Time 0.784s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.55569 (0.60599)  Accuracy@1 76.562 (73.855)  Accuracy@5 100.000 (100.000)    
Epoch: [86][180/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.70811 (0.60744)  Accuracy@1 75.000 (73.878)  Accuracy@5 100.000 (100.000)    
Epoch: [86][200/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.64634 (0.60826)  Accuracy@1 67.188 (73.818)  Accuracy@5 100.000 (100.000)    
Epoch: [86][220/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.78835 (0.60711)  Accuracy@1 65.625 (73.862)  Accuracy@5 100.000 (100.000)    
Epoch: [86][240/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.54059 (0.60488)  Accuracy@1 79.688 (74.002)  Accuracy@5 100.000 (100.000)    
Epoch: [86][260/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.59404 (0.60239)  Accuracy@1 73.438 (74.006)  Accuracy@5 100.000 (100.000)    
Epoch: [86][280/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.68246 (0.60227)  Accuracy@1 67.188 (73.927)  Accuracy@5 100.000 (100.000)    
Epoch: [86][300/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.65809 (0.60261)  Accuracy@1 68.750 (73.879)  Accuracy@5 100.000 (100.000)    
Epoch: [86][320/365]    Time 0.786s (0.791s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.52385 (0.60324)  Accuracy@1 84.375 (73.895)  Accuracy@5 100.000 (100.000)    
Epoch: [86][340/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.59782 (0.60325)  Accuracy@1 70.312 (73.932)  Accuracy@5 100.000 (100.000)    
Epoch: [86][360/365]    Time 0.790s (0.791s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.57040 (0.60253)  Accuracy@1 75.000 (73.970)  Accuracy@5 100.000 (100.000)    
Test: Time 0.343    Loss 0.7356 Error@1 30.850  Error@5 0.000   Accuracy@1 69.150   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [87][0/365]  Time 1.393s (1.393s)    Speed 45.9 samples/s    Data 0.543s (0.543s)    Loss 0.55385 (0.55385)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [87][20/365] Time 0.785s (0.823s)    Speed 81.5 samples/s    Data 0.000s (0.026s)    Loss 0.70369 (0.57945)  Accuracy@1 73.438 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [87][40/365] Time 0.787s (0.806s)    Speed 81.3 samples/s    Data 0.000s (0.014s)    Loss 0.57984 (0.59199)  Accuracy@1 79.688 (75.495)  Accuracy@5 100.000 (100.000)    
Epoch: [87][60/365] Time 0.786s (0.801s)    Speed 81.5 samples/s    Data 0.000s (0.009s)    Loss 0.61522 (0.59345)  Accuracy@1 70.312 (74.974)  Accuracy@5 100.000 (100.000)    
Epoch: [87][80/365] Time 0.794s (0.799s)    Speed 80.6 samples/s    Data 0.000s (0.007s)    Loss 0.66428 (0.59069)  Accuracy@1 67.188 (75.444)  Accuracy@5 100.000 (100.000)    
Epoch: [87][100/365]    Time 0.796s (0.797s)    Speed 80.4 samples/s    Data 0.000s (0.006s)    Loss 0.59515 (0.59123)  Accuracy@1 70.312 (75.124)  Accuracy@5 100.000 (100.000)    
Epoch: [87][120/365]    Time 0.791s (0.796s)    Speed 80.9 samples/s    Data 0.000s (0.005s)    Loss 0.54965 (0.59834)  Accuracy@1 71.875 (74.574)  Accuracy@5 100.000 (100.000)    
Epoch: [87][140/365]    Time 0.789s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.53418 (0.60147)  Accuracy@1 78.125 (74.413)  Accuracy@5 100.000 (100.000)    
Epoch: [87][160/365]    Time 0.789s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.51861 (0.60255)  Accuracy@1 78.125 (74.350)  Accuracy@5 100.000 (100.000)    
Epoch: [87][180/365]    Time 0.798s (0.794s)    Speed 80.2 samples/s    Data 0.000s (0.003s)    Loss 0.48783 (0.59979)  Accuracy@1 79.688 (74.586)  Accuracy@5 100.000 (100.000)    
Epoch: [87][200/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.50034 (0.59889)  Accuracy@1 75.000 (74.588)  Accuracy@5 100.000 (100.000)    
Epoch: [87][220/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.71119 (0.60279)  Accuracy@1 73.438 (74.427)  Accuracy@5 100.000 (100.000)    
Epoch: [87][240/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.74568 (0.60277)  Accuracy@1 67.188 (74.436)  Accuracy@5 100.000 (100.000)    
Epoch: [87][260/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.62364 (0.60493)  Accuracy@1 68.750 (74.240)  Accuracy@5 100.000 (100.000)    
Epoch: [87][280/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.69074 (0.60426)  Accuracy@1 71.875 (74.277)  Accuracy@5 100.000 (100.000)    
Epoch: [87][300/365]    Time 0.796s (0.792s)    Speed 80.4 samples/s    Data 0.000s (0.002s)    Loss 0.66220 (0.60372)  Accuracy@1 75.000 (74.247)  Accuracy@5 100.000 (100.000)    
Epoch: [87][320/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.75346 (0.60429)  Accuracy@1 70.312 (74.270)  Accuracy@5 100.000 (100.000)    
Epoch: [87][340/365]    Time 0.783s (0.791s)    Speed 81.8 samples/s    Data 0.000s (0.002s)    Loss 0.73532 (0.60499)  Accuracy@1 75.000 (74.180)  Accuracy@5 100.000 (100.000)    
Epoch: [87][360/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.75340 (0.60504)  Accuracy@1 65.625 (74.208)  Accuracy@5 100.000 (100.000)    
Test: Time 0.341    Loss 0.7350 Error@1 30.915  Error@5 0.000   Accuracy@1 69.085   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [88][0/365]  Time 1.443s (1.443s)    Speed 44.3 samples/s    Data 0.572s (0.572s)    Loss 0.71428 (0.71428)  Accuracy@1 62.500 (62.500)  Accuracy@5 100.000 (100.000)    
Epoch: [88][20/365] Time 0.785s (0.829s)    Speed 81.5 samples/s    Data 0.000s (0.028s)    Loss 0.57804 (0.60300)  Accuracy@1 75.000 (74.702)  Accuracy@5 100.000 (100.000)    
Epoch: [88][40/365] Time 0.786s (0.809s)    Speed 81.4 samples/s    Data 0.000s (0.014s)    Loss 0.54472 (0.61349)  Accuracy@1 70.312 (73.933)  Accuracy@5 100.000 (100.000)    
Epoch: [88][60/365] Time 0.794s (0.802s)    Speed 80.6 samples/s    Data 0.000s (0.010s)    Loss 0.51595 (0.60464)  Accuracy@1 76.562 (74.360)  Accuracy@5 100.000 (100.000)    
Epoch: [88][80/365] Time 0.787s (0.798s)    Speed 81.3 samples/s    Data 0.000s (0.007s)    Loss 0.48720 (0.60153)  Accuracy@1 79.688 (74.518)  Accuracy@5 100.000 (100.000)    
Epoch: [88][100/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.006s)    Loss 0.54245 (0.59519)  Accuracy@1 81.250 (74.691)  Accuracy@5 100.000 (100.000)    
Epoch: [88][120/365]    Time 0.793s (0.795s)    Speed 80.7 samples/s    Data 0.000s (0.005s)    Loss 0.64629 (0.59469)  Accuracy@1 76.562 (74.948)  Accuracy@5 100.000 (100.000)    
Epoch: [88][140/365]    Time 0.785s (0.794s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.55989 (0.59282)  Accuracy@1 70.312 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [88][160/365]    Time 0.791s (0.793s)    Speed 80.9 samples/s    Data 0.000s (0.004s)    Loss 0.53827 (0.59399)  Accuracy@1 75.000 (74.786)  Accuracy@5 100.000 (100.000)    
Epoch: [88][180/365]    Time 0.788s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.56940 (0.59663)  Accuracy@1 82.812 (74.732)  Accuracy@5 100.000 (100.000)    
Epoch: [88][200/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.62279 (0.59980)  Accuracy@1 67.188 (74.588)  Accuracy@5 100.000 (100.000)    
Epoch: [88][220/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.55404 (0.59756)  Accuracy@1 81.250 (74.590)  Accuracy@5 100.000 (100.000)    
Epoch: [88][240/365]    Time 0.787s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.55226 (0.59836)  Accuracy@1 75.000 (74.585)  Accuracy@5 100.000 (100.000)    
Epoch: [88][260/365]    Time 0.784s (0.791s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.52481 (0.59768)  Accuracy@1 78.125 (74.689)  Accuracy@5 100.000 (100.000)    
Epoch: [88][280/365]    Time 0.801s (0.791s)    Speed 79.9 samples/s    Data 0.000s (0.002s)    Loss 0.57913 (0.59793)  Accuracy@1 68.750 (74.677)  Accuracy@5 100.000 (100.000)    
Epoch: [88][300/365]    Time 0.791s (0.791s)    Speed 80.9 samples/s    Data 0.000s (0.002s)    Loss 0.42102 (0.59754)  Accuracy@1 81.250 (74.652)  Accuracy@5 100.000 (100.000)    
Epoch: [88][320/365]    Time 0.786s (0.791s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.72024 (0.60081)  Accuracy@1 64.062 (74.523)  Accuracy@5 100.000 (100.000)    
Epoch: [88][340/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.62858 (0.59973)  Accuracy@1 65.625 (74.510)  Accuracy@5 100.000 (100.000)    
Epoch: [88][360/365]    Time 0.787s (0.791s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.44687 (0.59889)  Accuracy@1 78.125 (74.597)  Accuracy@5 100.000 (100.000)    
Test: Time 0.351    Loss 0.7330 Error@1 30.894  Error@5 0.000   Accuracy@1 69.106   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [89][0/365]  Time 1.428s (1.428s)    Speed 44.8 samples/s    Data 0.563s (0.563s)    Loss 0.62886 (0.62886)  Accuracy@1 71.875 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [89][20/365] Time 0.797s (0.830s)    Speed 80.3 samples/s    Data 0.000s (0.027s)    Loss 0.50030 (0.60631)  Accuracy@1 78.125 (73.214)  Accuracy@5 100.000 (100.000)    
Epoch: [89][40/365] Time 0.795s (0.811s)    Speed 80.5 samples/s    Data 0.000s (0.014s)    Loss 0.46175 (0.57869)  Accuracy@1 81.250 (74.924)  Accuracy@5 100.000 (100.000)    
Epoch: [89][60/365] Time 0.789s (0.804s)    Speed 81.1 samples/s    Data 0.000s (0.010s)    Loss 0.56014 (0.58793)  Accuracy@1 76.562 (74.488)  Accuracy@5 100.000 (100.000)    
Epoch: [89][80/365] Time 0.785s (0.800s)    Speed 81.5 samples/s    Data 0.000s (0.007s)    Loss 0.63268 (0.59340)  Accuracy@1 75.000 (74.190)  Accuracy@5 100.000 (100.000)    
Epoch: [89][100/365]    Time 0.791s (0.798s)    Speed 80.9 samples/s    Data 0.000s (0.006s)    Loss 0.65541 (0.59153)  Accuracy@1 75.000 (74.381)  Accuracy@5 100.000 (100.000)    
Epoch: [89][120/365]    Time 0.786s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.74458 (0.59801)  Accuracy@1 71.875 (74.019)  Accuracy@5 100.000 (100.000)    
Epoch: [89][140/365]    Time 0.784s (0.796s)    Speed 81.6 samples/s    Data 0.000s (0.004s)    Loss 0.58569 (0.59528)  Accuracy@1 71.875 (74.003)  Accuracy@5 100.000 (100.000)    
Epoch: [89][160/365]    Time 0.788s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.62454 (0.59540)  Accuracy@1 79.688 (74.224)  Accuracy@5 100.000 (100.000)    
Epoch: [89][180/365]    Time 0.792s (0.795s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.63276 (0.59667)  Accuracy@1 70.312 (74.128)  Accuracy@5 100.000 (100.000)    
Epoch: [89][200/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.84518 (0.59886)  Accuracy@1 56.250 (74.013)  Accuracy@5 100.000 (100.000)    
Epoch: [89][220/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.64676 (0.59832)  Accuracy@1 70.312 (74.088)  Accuracy@5 100.000 (100.000)    
Epoch: [89][240/365]    Time 0.791s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.61118 (0.59773)  Accuracy@1 70.312 (74.203)  Accuracy@5 100.000 (100.000)    
Epoch: [89][260/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.39990 (0.59745)  Accuracy@1 89.062 (74.192)  Accuracy@5 100.000 (100.000)    
Epoch: [89][280/365]    Time 0.787s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.49448 (0.59956)  Accuracy@1 81.250 (74.188)  Accuracy@5 100.000 (100.000)    
Epoch: [89][300/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.61584 (0.59851)  Accuracy@1 79.688 (74.284)  Accuracy@5 100.000 (100.000)    
Epoch: [89][320/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.66533 (0.60166)  Accuracy@1 70.312 (74.173)  Accuracy@5 100.000 (100.000)    
Epoch: [89][340/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.59753 (0.60051)  Accuracy@1 76.562 (74.171)  Accuracy@5 100.000 (100.000)    
Epoch: [89][360/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.54814 (0.60145)  Accuracy@1 81.250 (74.095)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7349 Error@1 30.719  Error@5 0.000   Accuracy@1 69.281   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [90][0/365]  Time 1.489s (1.489s)    Speed 43.0 samples/s    Data 0.615s (0.615s)    Loss 0.66960 (0.66960)  Accuracy@1 65.625 (65.625)  Accuracy@5 100.000 (100.000)    
Epoch: [90][20/365] Time 0.788s (0.828s)    Speed 81.3 samples/s    Data 0.000s (0.030s)    Loss 0.56046 (0.59752)  Accuracy@1 76.562 (75.149)  Accuracy@5 100.000 (100.000)    
Epoch: [90][40/365] Time 0.790s (0.809s)    Speed 81.1 samples/s    Data 0.000s (0.016s)    Loss 0.59510 (0.58233)  Accuracy@1 81.250 (75.724)  Accuracy@5 100.000 (100.000)    
Epoch: [90][60/365] Time 0.791s (0.802s)    Speed 80.9 samples/s    Data 0.000s (0.011s)    Loss 0.57024 (0.59885)  Accuracy@1 78.125 (74.718)  Accuracy@5 100.000 (100.000)    
Epoch: [90][80/365] Time 0.784s (0.799s)    Speed 81.6 samples/s    Data 0.000s (0.008s)    Loss 0.62035 (0.59902)  Accuracy@1 76.562 (74.730)  Accuracy@5 100.000 (100.000)    
Epoch: [90][100/365]    Time 0.786s (0.796s)    Speed 81.4 samples/s    Data 0.000s (0.006s)    Loss 0.47373 (0.59850)  Accuracy@1 87.500 (74.567)  Accuracy@5 100.000 (100.000)    
Epoch: [90][120/365]    Time 0.793s (0.795s)    Speed 80.7 samples/s    Data 0.000s (0.005s)    Loss 0.54510 (0.59898)  Accuracy@1 79.688 (74.626)  Accuracy@5 100.000 (100.000)    
Epoch: [90][140/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.67954 (0.59683)  Accuracy@1 70.312 (74.867)  Accuracy@5 100.000 (100.000)    
Epoch: [90][160/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.58057 (0.59474)  Accuracy@1 68.750 (74.893)  Accuracy@5 100.000 (100.000)    
Epoch: [90][180/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.004s)    Loss 0.64444 (0.59819)  Accuracy@1 81.250 (74.560)  Accuracy@5 100.000 (100.000)    
Epoch: [90][200/365]    Time 0.787s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.78493 (0.59990)  Accuracy@1 68.750 (74.401)  Accuracy@5 100.000 (100.000)    
Epoch: [90][220/365]    Time 0.788s (0.792s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.38359 (0.59816)  Accuracy@1 85.938 (74.413)  Accuracy@5 100.000 (100.000)    
Epoch: [90][240/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.55179 (0.59877)  Accuracy@1 73.438 (74.365)  Accuracy@5 100.000 (100.000)    
Epoch: [90][260/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.66465 (0.60094)  Accuracy@1 70.312 (74.318)  Accuracy@5 100.000 (100.000)    
Epoch: [90][280/365]    Time 0.784s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.49745 (0.60121)  Accuracy@1 87.500 (74.316)  Accuracy@5 100.000 (100.000)    
Epoch: [90][300/365]    Time 0.785s (0.791s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.56271 (0.60161)  Accuracy@1 78.125 (74.320)  Accuracy@5 100.000 (100.000)    
Epoch: [90][320/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.62374 (0.60309)  Accuracy@1 75.000 (74.319)  Accuracy@5 100.000 (100.000)    
Epoch: [90][340/365]    Time 0.795s (0.791s)    Speed 80.5 samples/s    Data 0.000s (0.002s)    Loss 0.62095 (0.60399)  Accuracy@1 70.312 (74.308)  Accuracy@5 100.000 (100.000)    
Epoch: [90][360/365]    Time 0.789s (0.791s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.41297 (0.60273)  Accuracy@1 85.938 (74.403)  Accuracy@5 100.000 (100.000)    
Test: Time 0.348    Loss 0.7334 Error@1 30.872  Error@5 0.000   Accuracy@1 69.128   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [91][0/365]  Time 1.461s (1.461s)    Speed 43.8 samples/s    Data 0.616s (0.616s)    Loss 0.59695 (0.59695)  Accuracy@1 79.688 (79.688)  Accuracy@5 100.000 (100.000)    
Epoch: [91][20/365] Time 0.787s (0.832s)    Speed 81.3 samples/s    Data 0.000s (0.030s)    Loss 0.68460 (0.60150)  Accuracy@1 70.312 (74.702)  Accuracy@5 100.000 (100.000)    
Epoch: [91][40/365] Time 0.791s (0.812s)    Speed 80.9 samples/s    Data 0.000s (0.015s)    Loss 0.66573 (0.59691)  Accuracy@1 70.312 (74.581)  Accuracy@5 100.000 (100.000)    
Epoch: [91][60/365] Time 0.796s (0.805s)    Speed 80.4 samples/s    Data 0.000s (0.010s)    Loss 0.62126 (0.59710)  Accuracy@1 71.875 (74.180)  Accuracy@5 100.000 (100.000)    
Epoch: [91][80/365] Time 0.785s (0.801s)    Speed 81.5 samples/s    Data 0.000s (0.008s)    Loss 0.64439 (0.60104)  Accuracy@1 75.000 (74.016)  Accuracy@5 100.000 (100.000)    
Epoch: [91][100/365]    Time 0.794s (0.799s)    Speed 80.7 samples/s    Data 0.000s (0.006s)    Loss 0.62759 (0.60107)  Accuracy@1 73.438 (73.979)  Accuracy@5 100.000 (100.000)    
Epoch: [91][120/365]    Time 0.782s (0.797s)    Speed 81.8 samples/s    Data 0.000s (0.005s)    Loss 0.86627 (0.59957)  Accuracy@1 64.062 (73.993)  Accuracy@5 100.000 (100.000)    
Epoch: [91][140/365]    Time 0.791s (0.796s)    Speed 80.9 samples/s    Data 0.000s (0.005s)    Loss 0.43584 (0.59664)  Accuracy@1 76.562 (74.125)  Accuracy@5 100.000 (100.000)    
Epoch: [91][160/365]    Time 0.793s (0.795s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.62148 (0.59648)  Accuracy@1 70.312 (74.127)  Accuracy@5 100.000 (100.000)    
Epoch: [91][180/365]    Time 0.794s (0.795s)    Speed 80.6 samples/s    Data 0.000s (0.004s)    Loss 0.64944 (0.59562)  Accuracy@1 62.500 (74.102)  Accuracy@5 100.000 (100.000)    
Epoch: [91][200/365]    Time 0.794s (0.794s)    Speed 80.6 samples/s    Data 0.000s (0.003s)    Loss 0.58661 (0.59347)  Accuracy@1 73.438 (74.184)  Accuracy@5 100.000 (100.000)    
Epoch: [91][220/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.51959 (0.59200)  Accuracy@1 79.688 (74.335)  Accuracy@5 100.000 (100.000)    
Epoch: [91][240/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.64252 (0.59522)  Accuracy@1 70.312 (74.248)  Accuracy@5 100.000 (100.000)    
Epoch: [91][260/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.74215 (0.59383)  Accuracy@1 70.312 (74.365)  Accuracy@5 100.000 (100.000)    
Epoch: [91][280/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.62258 (0.59213)  Accuracy@1 73.438 (74.516)  Accuracy@5 100.000 (100.000)    
Epoch: [91][300/365]    Time 0.785s (0.792s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.67454 (0.59302)  Accuracy@1 73.438 (74.450)  Accuracy@5 100.000 (100.000)    
Epoch: [91][320/365]    Time 0.787s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.55738 (0.59308)  Accuracy@1 76.562 (74.465)  Accuracy@5 100.000 (100.000)    
Epoch: [91][340/365]    Time 0.784s (0.792s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.71279 (0.59433)  Accuracy@1 68.750 (74.450)  Accuracy@5 100.000 (100.000)    
Epoch: [91][360/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.54333 (0.59575)  Accuracy@1 79.688 (74.325)  Accuracy@5 100.000 (100.000)    
Test: Time 0.348    Loss 0.7379 Error@1 30.850  Error@5 0.000   Accuracy@1 69.150   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [92][0/365]  Time 1.442s (1.442s)    Speed 44.4 samples/s    Data 0.581s (0.581s)    Loss 0.59995 (0.59995)  Accuracy@1 71.875 (71.875)  Accuracy@5 100.000 (100.000)    
Epoch: [92][20/365] Time 0.791s (0.831s)    Speed 81.0 samples/s    Data 0.000s (0.028s)    Loss 0.46461 (0.59963)  Accuracy@1 84.375 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [92][40/365] Time 0.789s (0.811s)    Speed 81.1 samples/s    Data 0.000s (0.015s)    Loss 0.55591 (0.59385)  Accuracy@1 73.438 (75.267)  Accuracy@5 100.000 (100.000)    
Epoch: [92][60/365] Time 0.786s (0.804s)    Speed 81.4 samples/s    Data 0.000s (0.010s)    Loss 0.56731 (0.59737)  Accuracy@1 75.000 (74.693)  Accuracy@5 100.000 (100.000)    
Epoch: [92][80/365] Time 0.789s (0.801s)    Speed 81.1 samples/s    Data 0.000s (0.008s)    Loss 0.71176 (0.59861)  Accuracy@1 71.875 (74.498)  Accuracy@5 100.000 (100.000)    
Epoch: [92][100/365]    Time 0.787s (0.799s)    Speed 81.3 samples/s    Data 0.000s (0.006s)    Loss 0.57427 (0.60421)  Accuracy@1 70.312 (74.319)  Accuracy@5 100.000 (100.000)    
Epoch: [92][120/365]    Time 0.794s (0.797s)    Speed 80.6 samples/s    Data 0.000s (0.005s)    Loss 0.54603 (0.60077)  Accuracy@1 76.562 (74.380)  Accuracy@5 100.000 (100.000)    
Epoch: [92][140/365]    Time 0.791s (0.796s)    Speed 80.9 samples/s    Data 0.000s (0.004s)    Loss 0.58461 (0.60202)  Accuracy@1 75.000 (74.158)  Accuracy@5 100.000 (100.000)    
Epoch: [92][160/365]    Time 0.796s (0.796s)    Speed 80.4 samples/s    Data 0.000s (0.004s)    Loss 0.60577 (0.60107)  Accuracy@1 78.125 (74.350)  Accuracy@5 100.000 (100.000)    
Epoch: [92][180/365]    Time 0.789s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.59328 (0.60403)  Accuracy@1 75.000 (74.042)  Accuracy@5 100.000 (100.000)    
Epoch: [92][200/365]    Time 0.791s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.56622 (0.60680)  Accuracy@1 76.562 (74.021)  Accuracy@5 100.000 (100.000)    
Epoch: [92][220/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.75483 (0.60555)  Accuracy@1 67.188 (73.904)  Accuracy@5 100.000 (100.000)    
Epoch: [92][240/365]    Time 0.790s (0.794s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.55104 (0.60487)  Accuracy@1 76.562 (73.878)  Accuracy@5 100.000 (100.000)    
Epoch: [92][260/365]    Time 0.797s (0.793s)    Speed 80.3 samples/s    Data 0.000s (0.003s)    Loss 0.52136 (0.60123)  Accuracy@1 73.438 (74.036)  Accuracy@5 100.000 (100.000)    
Epoch: [92][280/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.60860 (0.60016)  Accuracy@1 70.312 (74.116)  Accuracy@5 100.000 (100.000)    
Epoch: [92][300/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.53178 (0.60003)  Accuracy@1 82.812 (74.180)  Accuracy@5 100.000 (100.000)    
Epoch: [92][320/365]    Time 0.786s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.42681 (0.59848)  Accuracy@1 87.500 (74.226)  Accuracy@5 100.000 (100.000)    
Epoch: [92][340/365]    Time 0.800s (0.793s)    Speed 80.0 samples/s    Data 0.000s (0.002s)    Loss 0.62735 (0.59920)  Accuracy@1 68.750 (74.125)  Accuracy@5 100.000 (100.000)    
Epoch: [92][360/365]    Time 0.790s (0.792s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.64977 (0.59833)  Accuracy@1 65.625 (74.113)  Accuracy@5 100.000 (100.000)    
Test: Time 0.347    Loss 0.7321 Error@1 30.610  Error@5 0.000   Accuracy@1 69.390   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [93][0/365]  Time 1.484s (1.484s)    Speed 43.1 samples/s    Data 0.623s (0.623s)    Loss 0.61746 (0.61746)  Accuracy@1 70.312 (70.312)  Accuracy@5 100.000 (100.000)    
Epoch: [93][20/365] Time 0.786s (0.840s)    Speed 81.4 samples/s    Data 0.000s (0.031s)    Loss 0.58719 (0.59391)  Accuracy@1 75.000 (75.074)  Accuracy@5 100.000 (100.000)    
Epoch: [93][40/365] Time 0.790s (0.815s)    Speed 81.1 samples/s    Data 0.000s (0.016s)    Loss 0.52575 (0.60924)  Accuracy@1 79.688 (74.047)  Accuracy@5 100.000 (100.000)    
Epoch: [93][60/365] Time 0.786s (0.807s)    Speed 81.4 samples/s    Data 0.000s (0.011s)    Loss 0.74807 (0.60555)  Accuracy@1 65.625 (74.180)  Accuracy@5 100.000 (100.000)    
Epoch: [93][80/365] Time 0.787s (0.803s)    Speed 81.3 samples/s    Data 0.000s (0.008s)    Loss 0.74312 (0.60927)  Accuracy@1 73.438 (74.537)  Accuracy@5 100.000 (100.000)    
Epoch: [93][100/365]    Time 0.796s (0.800s)    Speed 80.4 samples/s    Data 0.000s (0.007s)    Loss 0.65454 (0.60518)  Accuracy@1 75.000 (74.706)  Accuracy@5 100.000 (100.000)    
Epoch: [93][120/365]    Time 0.789s (0.799s)    Speed 81.1 samples/s    Data 0.000s (0.006s)    Loss 0.54240 (0.61489)  Accuracy@1 78.125 (74.096)  Accuracy@5 100.000 (100.000)    
Epoch: [93][140/365]    Time 0.787s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.47885 (0.60845)  Accuracy@1 78.125 (74.446)  Accuracy@5 100.000 (100.000)    
Epoch: [93][160/365]    Time 0.792s (0.796s)    Speed 80.8 samples/s    Data 0.000s (0.004s)    Loss 0.64233 (0.60748)  Accuracy@1 68.750 (74.233)  Accuracy@5 100.000 (100.000)    
Epoch: [93][180/365]    Time 0.795s (0.796s)    Speed 80.5 samples/s    Data 0.000s (0.004s)    Loss 0.53916 (0.60743)  Accuracy@1 75.000 (74.180)  Accuracy@5 100.000 (100.000)    
Epoch: [93][200/365]    Time 0.786s (0.795s)    Speed 81.5 samples/s    Data 0.000s (0.004s)    Loss 0.50779 (0.60552)  Accuracy@1 75.000 (74.347)  Accuracy@5 100.000 (100.000)    
Epoch: [93][220/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.48971 (0.60513)  Accuracy@1 76.562 (74.236)  Accuracy@5 100.000 (100.000)    
Epoch: [93][240/365]    Time 0.792s (0.794s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.48517 (0.60363)  Accuracy@1 84.375 (74.306)  Accuracy@5 100.000 (100.000)    
Epoch: [93][260/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.43444 (0.60221)  Accuracy@1 79.688 (74.306)  Accuracy@5 100.000 (100.000)    
Epoch: [93][280/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.71633 (0.60119)  Accuracy@1 68.750 (74.260)  Accuracy@5 100.000 (100.000)    
Epoch: [93][300/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.002s)    Loss 0.55674 (0.59985)  Accuracy@1 73.438 (74.341)  Accuracy@5 100.000 (100.000)    
Epoch: [93][320/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.55850 (0.59837)  Accuracy@1 76.562 (74.377)  Accuracy@5 100.000 (100.000)    
Epoch: [93][340/365]    Time 0.789s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.57792 (0.59864)  Accuracy@1 75.000 (74.322)  Accuracy@5 100.000 (100.000)    
Epoch: [93][360/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.002s)    Loss 0.74290 (0.59977)  Accuracy@1 62.500 (74.204)  Accuracy@5 100.000 (100.000)    
Test: Time 0.349    Loss 0.7335 Error@1 30.719  Error@5 0.000   Accuracy@1 69.281   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [94][0/365]  Time 1.461s (1.461s)    Speed 43.8 samples/s    Data 0.614s (0.614s)    Loss 0.57149 (0.57149)  Accuracy@1 73.438 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [94][20/365] Time 0.792s (0.831s)    Speed 80.8 samples/s    Data 0.000s (0.030s)    Loss 0.58923 (0.59189)  Accuracy@1 75.000 (74.926)  Accuracy@5 100.000 (100.000)    
Epoch: [94][40/365] Time 0.790s (0.811s)    Speed 81.1 samples/s    Data 0.000s (0.015s)    Loss 0.71416 (0.58202)  Accuracy@1 73.438 (75.419)  Accuracy@5 100.000 (100.000)    
Epoch: [94][60/365] Time 0.789s (0.804s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.79356 (0.58815)  Accuracy@1 60.938 (74.923)  Accuracy@5 100.000 (100.000)    
Epoch: [94][80/365] Time 0.797s (0.800s)    Speed 80.3 samples/s    Data 0.000s (0.008s)    Loss 0.52853 (0.58935)  Accuracy@1 78.125 (75.077)  Accuracy@5 100.000 (100.000)    
Epoch: [94][100/365]    Time 0.786s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.65630 (0.59119)  Accuracy@1 65.625 (75.046)  Accuracy@5 100.000 (100.000)    
Epoch: [94][120/365]    Time 0.796s (0.797s)    Speed 80.5 samples/s    Data 0.000s (0.005s)    Loss 0.38073 (0.58946)  Accuracy@1 87.500 (75.013)  Accuracy@5 100.000 (100.000)    
Epoch: [94][140/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.56847 (0.59812)  Accuracy@1 71.875 (74.446)  Accuracy@5 100.000 (100.000)    
Epoch: [94][160/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.68293 (0.60157)  Accuracy@1 65.625 (74.165)  Accuracy@5 100.000 (100.000)    
Epoch: [94][180/365]    Time 0.793s (0.794s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.52175 (0.59732)  Accuracy@1 79.688 (74.448)  Accuracy@5 100.000 (100.000)    
Epoch: [94][200/365]    Time 0.795s (0.794s)    Speed 80.5 samples/s    Data 0.000s (0.003s)    Loss 0.52243 (0.59687)  Accuracy@1 82.812 (74.433)  Accuracy@5 100.000 (100.000)    
Epoch: [94][220/365]    Time 0.786s (0.794s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.77327 (0.60172)  Accuracy@1 62.500 (74.159)  Accuracy@5 100.000 (100.000)    
Epoch: [94][240/365]    Time 0.784s (0.793s)    Speed 81.6 samples/s    Data 0.000s (0.003s)    Loss 0.67801 (0.60018)  Accuracy@1 68.750 (74.306)  Accuracy@5 100.000 (100.000)    
Epoch: [94][260/365]    Time 0.790s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.65554 (0.59944)  Accuracy@1 70.312 (74.365)  Accuracy@5 100.000 (100.000)    
Epoch: [94][280/365]    Time 0.798s (0.793s)    Speed 80.2 samples/s    Data 0.000s (0.003s)    Loss 0.57389 (0.60170)  Accuracy@1 73.438 (74.327)  Accuracy@5 100.000 (100.000)    
Epoch: [94][300/365]    Time 0.786s (0.792s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.59977 (0.59941)  Accuracy@1 78.125 (74.403)  Accuracy@5 100.000 (100.000)    
Epoch: [94][320/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.54143 (0.60087)  Accuracy@1 79.688 (74.416)  Accuracy@5 100.000 (100.000)    
Epoch: [94][340/365]    Time 0.788s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.60986 (0.60115)  Accuracy@1 78.125 (74.455)  Accuracy@5 100.000 (100.000)    
Epoch: [94][360/365]    Time 0.794s (0.792s)    Speed 80.6 samples/s    Data 0.000s (0.002s)    Loss 0.68452 (0.60136)  Accuracy@1 71.875 (74.416)  Accuracy@5 100.000 (100.000)    
Test: Time 0.348    Loss 0.7330 Error@1 31.068  Error@5 0.000   Accuracy@1 68.932   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [95][0/365]  Time 1.463s (1.463s)    Speed 43.7 samples/s    Data 0.611s (0.611s)    Loss 0.52561 (0.52561)  Accuracy@1 75.000 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [95][20/365] Time 0.789s (0.837s)    Speed 81.1 samples/s    Data 0.000s (0.030s)    Loss 0.58486 (0.56972)  Accuracy@1 78.125 (75.298)  Accuracy@5 100.000 (100.000)    
Epoch: [95][40/365] Time 0.788s (0.815s)    Speed 81.2 samples/s    Data 0.000s (0.016s)    Loss 0.60360 (0.59373)  Accuracy@1 79.688 (74.162)  Accuracy@5 100.000 (100.000)    
Epoch: [95][60/365] Time 0.792s (0.806s)    Speed 80.8 samples/s    Data 0.000s (0.011s)    Loss 0.54435 (0.59443)  Accuracy@1 79.688 (74.052)  Accuracy@5 100.000 (100.000)    
Epoch: [95][80/365] Time 0.787s (0.802s)    Speed 81.3 samples/s    Data 0.000s (0.008s)    Loss 0.62181 (0.59844)  Accuracy@1 70.312 (74.035)  Accuracy@5 100.000 (100.000)    
Epoch: [95][100/365]    Time 0.788s (0.800s)    Speed 81.2 samples/s    Data 0.000s (0.006s)    Loss 0.57243 (0.59569)  Accuracy@1 81.250 (74.196)  Accuracy@5 100.000 (100.000)    
Epoch: [95][120/365]    Time 0.787s (0.798s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.55564 (0.59200)  Accuracy@1 75.000 (74.651)  Accuracy@5 100.000 (100.000)    
Epoch: [95][140/365]    Time 0.791s (0.797s)    Speed 80.9 samples/s    Data 0.000s (0.005s)    Loss 0.55963 (0.58938)  Accuracy@1 73.438 (74.712)  Accuracy@5 100.000 (100.000)    
Epoch: [95][160/365]    Time 0.787s (0.796s)    Speed 81.3 samples/s    Data 0.000s (0.004s)    Loss 0.71586 (0.59106)  Accuracy@1 71.875 (74.592)  Accuracy@5 100.000 (100.000)    
Epoch: [95][180/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.004s)    Loss 0.65371 (0.59332)  Accuracy@1 71.875 (74.448)  Accuracy@5 100.000 (100.000)    
Epoch: [95][200/365]    Time 0.788s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.81006 (0.59465)  Accuracy@1 67.188 (74.394)  Accuracy@5 100.000 (100.000)    
Epoch: [95][220/365]    Time 0.789s (0.794s)    Speed 81.1 samples/s    Data 0.000s (0.003s)    Loss 0.68614 (0.59314)  Accuracy@1 71.875 (74.328)  Accuracy@5 100.000 (100.000)    
Epoch: [95][240/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.62930 (0.59680)  Accuracy@1 73.438 (74.203)  Accuracy@5 100.000 (100.000)    
Epoch: [95][260/365]    Time 0.801s (0.794s)    Speed 79.9 samples/s    Data 0.000s (0.003s)    Loss 0.65919 (0.59546)  Accuracy@1 73.438 (74.270)  Accuracy@5 100.000 (100.000)    
Epoch: [95][280/365]    Time 0.796s (0.794s)    Speed 80.4 samples/s    Data 0.000s (0.003s)    Loss 0.64103 (0.59953)  Accuracy@1 67.188 (74.032)  Accuracy@5 100.000 (100.000)    
Epoch: [95][300/365]    Time 0.786s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.49782 (0.59944)  Accuracy@1 85.938 (74.118)  Accuracy@5 100.000 (100.000)    
Epoch: [95][320/365]    Time 0.789s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.64563 (0.60115)  Accuracy@1 79.688 (74.138)  Accuracy@5 100.000 (100.000)    
Epoch: [95][340/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.63299 (0.60161)  Accuracy@1 73.438 (74.116)  Accuracy@5 100.000 (100.000)    
Epoch: [95][360/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.54780 (0.60146)  Accuracy@1 79.688 (74.182)  Accuracy@5 100.000 (100.000)    
Test: Time 0.350    Loss 0.7331 Error@1 30.610  Error@5 0.000   Accuracy@1 69.390   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [96][0/365]  Time 1.400s (1.400s)    Speed 45.7 samples/s    Data 0.538s (0.538s)    Loss 0.66407 (0.66407)  Accuracy@1 75.000 (75.000)  Accuracy@5 100.000 (100.000)    
Epoch: [96][20/365] Time 0.791s (0.830s)    Speed 80.9 samples/s    Data 0.000s (0.026s)    Loss 0.92674 (0.55091)  Accuracy@1 59.375 (77.455)  Accuracy@5 100.000 (100.000)    
Epoch: [96][40/365] Time 0.791s (0.810s)    Speed 80.9 samples/s    Data 0.000s (0.013s)    Loss 0.66562 (0.58426)  Accuracy@1 70.312 (75.915)  Accuracy@5 100.000 (100.000)    
Epoch: [96][60/365] Time 0.792s (0.804s)    Speed 80.8 samples/s    Data 0.000s (0.009s)    Loss 0.65762 (0.59217)  Accuracy@1 65.625 (75.333)  Accuracy@5 100.000 (100.000)    
Epoch: [96][80/365] Time 0.790s (0.801s)    Speed 81.0 samples/s    Data 0.000s (0.007s)    Loss 0.60996 (0.59731)  Accuracy@1 75.000 (75.116)  Accuracy@5 100.000 (100.000)    
Epoch: [96][100/365]    Time 0.795s (0.798s)    Speed 80.5 samples/s    Data 0.000s (0.006s)    Loss 0.72825 (0.60433)  Accuracy@1 76.562 (74.861)  Accuracy@5 100.000 (100.000)    
Epoch: [96][120/365]    Time 0.785s (0.797s)    Speed 81.6 samples/s    Data 0.000s (0.005s)    Loss 0.60609 (0.60780)  Accuracy@1 79.688 (74.496)  Accuracy@5 100.000 (100.000)    
Epoch: [96][140/365]    Time 0.794s (0.796s)    Speed 80.6 samples/s    Data 0.000s (0.004s)    Loss 0.60310 (0.60594)  Accuracy@1 75.000 (74.435)  Accuracy@5 100.000 (100.000)    
Epoch: [96][160/365]    Time 0.793s (0.796s)    Speed 80.7 samples/s    Data 0.000s (0.004s)    Loss 0.76465 (0.60493)  Accuracy@1 68.750 (74.437)  Accuracy@5 100.000 (100.000)    
Epoch: [96][180/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.69903 (0.60479)  Accuracy@1 65.625 (74.465)  Accuracy@5 100.000 (100.000)    
Epoch: [96][200/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.50392 (0.60310)  Accuracy@1 81.250 (74.534)  Accuracy@5 100.000 (100.000)    
Epoch: [96][220/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.54402 (0.60229)  Accuracy@1 70.312 (74.463)  Accuracy@5 100.000 (100.000)    
Epoch: [96][240/365]    Time 0.792s (0.793s)    Speed 80.8 samples/s    Data 0.000s (0.003s)    Loss 0.66658 (0.60332)  Accuracy@1 70.312 (74.365)  Accuracy@5 100.000 (100.000)    
Epoch: [96][260/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.49440 (0.60292)  Accuracy@1 76.562 (74.288)  Accuracy@5 100.000 (100.000)    
Epoch: [96][280/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.69132 (0.60196)  Accuracy@1 73.438 (74.349)  Accuracy@5 100.000 (100.000)    
Epoch: [96][300/365]    Time 0.794s (0.793s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.59722 (0.60292)  Accuracy@1 71.875 (74.413)  Accuracy@5 100.000 (100.000)    
Epoch: [96][320/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.61526 (0.60301)  Accuracy@1 75.000 (74.435)  Accuracy@5 100.000 (100.000)    
Epoch: [96][340/365]    Time 0.789s (0.792s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.57191 (0.60196)  Accuracy@1 73.438 (74.395)  Accuracy@5 100.000 (100.000)    
Epoch: [96][360/365]    Time 0.789s (0.792s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.62430 (0.60396)  Accuracy@1 76.562 (74.234)  Accuracy@5 100.000 (100.000)    
Test: Time 0.337    Loss 0.7334 Error@1 30.806  Error@5 0.000   Accuracy@1 69.194   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [97][0/365]  Time 1.463s (1.463s)    Speed 43.8 samples/s    Data 0.619s (0.619s)    Loss 0.46212 (0.46212)  Accuracy@1 79.688 (79.688)  Accuracy@5 100.000 (100.000)    
Epoch: [97][20/365] Time 0.785s (0.834s)    Speed 81.5 samples/s    Data 0.000s (0.030s)    Loss 0.51915 (0.59048)  Accuracy@1 79.688 (73.735)  Accuracy@5 100.000 (100.000)    
Epoch: [97][40/365] Time 0.789s (0.812s)    Speed 81.2 samples/s    Data 0.000s (0.016s)    Loss 0.46882 (0.58831)  Accuracy@1 84.375 (74.200)  Accuracy@5 100.000 (100.000)    
Epoch: [97][60/365] Time 0.788s (0.804s)    Speed 81.2 samples/s    Data 0.000s (0.011s)    Loss 0.61761 (0.60474)  Accuracy@1 73.438 (73.899)  Accuracy@5 100.000 (100.000)    
Epoch: [97][80/365] Time 0.788s (0.800s)    Speed 81.2 samples/s    Data 0.000s (0.008s)    Loss 0.57670 (0.59634)  Accuracy@1 75.000 (74.190)  Accuracy@5 100.000 (100.000)    
Epoch: [97][100/365]    Time 0.785s (0.798s)    Speed 81.5 samples/s    Data 0.000s (0.006s)    Loss 0.56421 (0.60351)  Accuracy@1 79.688 (73.933)  Accuracy@5 100.000 (100.000)    
Epoch: [97][120/365]    Time 0.790s (0.796s)    Speed 81.0 samples/s    Data 0.000s (0.005s)    Loss 0.54405 (0.60270)  Accuracy@1 76.562 (73.915)  Accuracy@5 100.000 (100.000)    
Epoch: [97][140/365]    Time 0.787s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.55823 (0.60188)  Accuracy@1 82.812 (74.080)  Accuracy@5 100.000 (100.000)    
Epoch: [97][160/365]    Time 0.789s (0.795s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.64313 (0.60296)  Accuracy@1 71.875 (74.020)  Accuracy@5 100.000 (100.000)    
Epoch: [97][180/365]    Time 0.797s (0.794s)    Speed 80.3 samples/s    Data 0.000s (0.004s)    Loss 0.60631 (0.59635)  Accuracy@1 75.000 (74.378)  Accuracy@5 100.000 (100.000)    
Epoch: [97][200/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.65372 (0.59359)  Accuracy@1 70.312 (74.456)  Accuracy@5 100.000 (100.000)    
Epoch: [97][220/365]    Time 0.787s (0.793s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.52781 (0.59098)  Accuracy@1 78.125 (74.420)  Accuracy@5 100.000 (100.000)    
Epoch: [97][240/365]    Time 0.787s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.48770 (0.59299)  Accuracy@1 76.562 (74.319)  Accuracy@5 100.000 (100.000)    
Epoch: [97][260/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.64552 (0.59152)  Accuracy@1 73.438 (74.431)  Accuracy@5 100.000 (100.000)    
Epoch: [97][280/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.57186 (0.59268)  Accuracy@1 73.438 (74.305)  Accuracy@5 100.000 (100.000)    
Epoch: [97][300/365]    Time 0.800s (0.793s)    Speed 80.0 samples/s    Data 0.000s (0.002s)    Loss 0.74055 (0.59707)  Accuracy@1 60.938 (74.143)  Accuracy@5 100.000 (100.000)    
Epoch: [97][320/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.59950 (0.59814)  Accuracy@1 73.438 (74.134)  Accuracy@5 100.000 (100.000)    
Epoch: [97][340/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.49633 (0.59868)  Accuracy@1 84.375 (74.166)  Accuracy@5 100.000 (100.000)    
Epoch: [97][360/365]    Time 0.799s (0.792s)    Speed 80.1 samples/s    Data 0.000s (0.002s)    Loss 0.69578 (0.59910)  Accuracy@1 65.625 (74.121)  Accuracy@5 100.000 (100.000)    
Test: Time 0.347    Loss 0.7361 Error@1 30.894  Error@5 0.000   Accuracy@1 69.106   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [98][0/365]  Time 1.422s (1.422s)    Speed 45.0 samples/s    Data 0.568s (0.568s)    Loss 0.58858 (0.58858)  Accuracy@1 73.438 (73.438)  Accuracy@5 100.000 (100.000)    
Epoch: [98][20/365] Time 0.786s (0.827s)    Speed 81.4 samples/s    Data 0.000s (0.028s)    Loss 0.79387 (0.62908)  Accuracy@1 65.625 (72.173)  Accuracy@5 100.000 (100.000)    
Epoch: [98][40/365] Time 0.788s (0.809s)    Speed 81.2 samples/s    Data 0.000s (0.014s)    Loss 0.53151 (0.62308)  Accuracy@1 79.688 (73.018)  Accuracy@5 100.000 (100.000)    
Epoch: [98][60/365] Time 0.788s (0.803s)    Speed 81.2 samples/s    Data 0.000s (0.010s)    Loss 0.45403 (0.62713)  Accuracy@1 82.812 (72.643)  Accuracy@5 100.000 (100.000)    
Epoch: [98][80/365] Time 0.786s (0.800s)    Speed 81.4 samples/s    Data 0.000s (0.007s)    Loss 0.58667 (0.61422)  Accuracy@1 73.438 (73.708)  Accuracy@5 100.000 (100.000)    
Epoch: [98][100/365]    Time 0.791s (0.798s)    Speed 80.9 samples/s    Data 0.000s (0.006s)    Loss 0.70059 (0.60972)  Accuracy@1 73.438 (74.149)  Accuracy@5 100.000 (100.000)    
Epoch: [98][120/365]    Time 0.786s (0.797s)    Speed 81.5 samples/s    Data 0.000s (0.005s)    Loss 0.58407 (0.60838)  Accuracy@1 71.875 (74.186)  Accuracy@5 100.000 (100.000)    
Epoch: [98][140/365]    Time 0.789s (0.796s)    Speed 81.1 samples/s    Data 0.000s (0.004s)    Loss 0.66005 (0.60903)  Accuracy@1 73.438 (74.125)  Accuracy@5 100.000 (100.000)    
Epoch: [98][160/365]    Time 0.794s (0.795s)    Speed 80.6 samples/s    Data 0.000s (0.004s)    Loss 0.61797 (0.61052)  Accuracy@1 71.875 (74.059)  Accuracy@5 100.000 (100.000)    
Epoch: [98][180/365]    Time 0.790s (0.795s)    Speed 81.0 samples/s    Data 0.000s (0.003s)    Loss 0.55166 (0.60372)  Accuracy@1 73.438 (74.301)  Accuracy@5 100.000 (100.000)    
Epoch: [98][200/365]    Time 0.788s (0.795s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.46389 (0.60166)  Accuracy@1 79.688 (74.308)  Accuracy@5 100.000 (100.000)    
Epoch: [98][220/365]    Time 0.791s (0.794s)    Speed 80.9 samples/s    Data 0.000s (0.003s)    Loss 0.42108 (0.60317)  Accuracy@1 82.812 (74.215)  Accuracy@5 100.000 (100.000)    
Epoch: [98][240/365]    Time 0.785s (0.794s)    Speed 81.5 samples/s    Data 0.000s (0.003s)    Loss 0.50441 (0.60122)  Accuracy@1 82.812 (74.397)  Accuracy@5 100.000 (100.000)    
Epoch: [98][260/365]    Time 0.787s (0.794s)    Speed 81.3 samples/s    Data 0.000s (0.003s)    Loss 0.49509 (0.59902)  Accuracy@1 81.250 (74.449)  Accuracy@5 100.000 (100.000)    
Epoch: [98][280/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.56598 (0.60012)  Accuracy@1 81.250 (74.383)  Accuracy@5 100.000 (100.000)    
Epoch: [98][300/365]    Time 0.788s (0.793s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.53542 (0.60194)  Accuracy@1 78.125 (74.304)  Accuracy@5 100.000 (100.000)    
Epoch: [98][320/365]    Time 0.790s (0.793s)    Speed 81.0 samples/s    Data 0.000s (0.002s)    Loss 0.62710 (0.60256)  Accuracy@1 73.438 (74.270)  Accuracy@5 100.000 (100.000)    
Epoch: [98][340/365]    Time 0.787s (0.793s)    Speed 81.4 samples/s    Data 0.000s (0.002s)    Loss 0.73164 (0.60270)  Accuracy@1 75.000 (74.235)  Accuracy@5 100.000 (100.000)    
Epoch: [98][360/365]    Time 0.789s (0.793s)    Speed 81.1 samples/s    Data 0.000s (0.002s)    Loss 0.58462 (0.60477)  Accuracy@1 76.562 (74.156)  Accuracy@5 100.000 (100.000)    
Test: Time 0.344    Loss 0.7331 Error@1 30.894  Error@5 0.000   Accuracy@1 69.106   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
Epoch: [99][0/365]  Time 1.485s (1.485s)    Speed 43.1 samples/s    Data 0.618s (0.618s)    Loss 0.55001 (0.55001)  Accuracy@1 76.562 (76.562)  Accuracy@5 100.000 (100.000)    
Epoch: [99][20/365] Time 0.789s (0.835s)    Speed 81.1 samples/s    Data 0.000s (0.030s)    Loss 0.54343 (0.60074)  Accuracy@1 82.812 (75.298)  Accuracy@5 100.000 (100.000)    
Epoch: [99][40/365] Time 0.793s (0.813s)    Speed 80.7 samples/s    Data 0.000s (0.016s)    Loss 0.55503 (0.60122)  Accuracy@1 73.438 (74.466)  Accuracy@5 100.000 (100.000)    
Epoch: [99][60/365] Time 0.788s (0.806s)    Speed 81.2 samples/s    Data 0.000s (0.011s)    Loss 0.62254 (0.60037)  Accuracy@1 68.750 (74.257)  Accuracy@5 100.000 (100.000)    
Epoch: [99][80/365] Time 0.789s (0.802s)    Speed 81.1 samples/s    Data 0.000s (0.008s)    Loss 0.66409 (0.59249)  Accuracy@1 73.438 (74.711)  Accuracy@5 100.000 (100.000)    
Epoch: [99][100/365]    Time 0.787s (0.800s)    Speed 81.4 samples/s    Data 0.000s (0.007s)    Loss 0.81361 (0.60217)  Accuracy@1 62.500 (74.412)  Accuracy@5 100.000 (100.000)    
Epoch: [99][120/365]    Time 0.801s (0.798s)    Speed 79.9 samples/s    Data 0.000s (0.005s)    Loss 0.61983 (0.59811)  Accuracy@1 70.312 (74.393)  Accuracy@5 100.000 (100.000)    
Epoch: [99][140/365]    Time 0.786s (0.797s)    Speed 81.4 samples/s    Data 0.000s (0.005s)    Loss 0.51011 (0.59715)  Accuracy@1 76.562 (74.579)  Accuracy@5 100.000 (100.000)    
Epoch: [99][160/365]    Time 0.791s (0.796s)    Speed 80.9 samples/s    Data 0.000s (0.004s)    Loss 0.58714 (0.59570)  Accuracy@1 70.312 (74.486)  Accuracy@5 100.000 (100.000)    
Epoch: [99][180/365]    Time 0.790s (0.796s)    Speed 81.0 samples/s    Data 0.000s (0.004s)    Loss 0.54999 (0.59296)  Accuracy@1 73.438 (74.672)  Accuracy@5 100.000 (100.000)    
Epoch: [99][200/365]    Time 0.788s (0.795s)    Speed 81.2 samples/s    Data 0.000s (0.003s)    Loss 0.56921 (0.59241)  Accuracy@1 75.000 (74.806)  Accuracy@5 100.000 (100.000)    
Epoch: [99][220/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.58323 (0.59204)  Accuracy@1 75.000 (74.611)  Accuracy@5 100.000 (100.000)    
Epoch: [99][240/365]    Time 0.786s (0.795s)    Speed 81.4 samples/s    Data 0.000s (0.003s)    Loss 0.45581 (0.59272)  Accuracy@1 79.688 (74.501)  Accuracy@5 100.000 (100.000)    
Epoch: [99][260/365]    Time 0.797s (0.794s)    Speed 80.3 samples/s    Data 0.000s (0.003s)    Loss 0.52466 (0.59426)  Accuracy@1 73.438 (74.461)  Accuracy@5 100.000 (100.000)    
Epoch: [99][280/365]    Time 0.801s (0.794s)    Speed 79.9 samples/s    Data 0.000s (0.003s)    Loss 0.50984 (0.59470)  Accuracy@1 78.125 (74.466)  Accuracy@5 100.000 (100.000)    
Epoch: [99][300/365]    Time 0.788s (0.794s)    Speed 81.2 samples/s    Data 0.000s (0.002s)    Loss 0.53287 (0.59505)  Accuracy@1 73.438 (74.564)  Accuracy@5 100.000 (100.000)    
Epoch: [99][320/365]    Time 0.783s (0.793s)    Speed 81.7 samples/s    Data 0.000s (0.002s)    Loss 0.60446 (0.59567)  Accuracy@1 76.562 (74.601)  Accuracy@5 100.000 (100.000)    
Epoch: [99][340/365]    Time 0.793s (0.793s)    Speed 80.7 samples/s    Data 0.000s (0.002s)    Loss 0.47115 (0.59673)  Accuracy@1 81.250 (74.578)  Accuracy@5 100.000 (100.000)    
Epoch: [99][360/365]    Time 0.785s (0.793s)    Speed 81.5 samples/s    Data 0.000s (0.002s)    Loss 0.61702 (0.59893)  Accuracy@1 70.312 (74.455)  Accuracy@5 100.000 (100.000)    
Test: Time 0.350    Loss 0.7348 Error@1 30.763  Error@5 0.000   Accuracy@1 69.237   Accuracy@5 100.000  
=> saving checkpoint to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41
saving final model state to /content/gdrive/MyDrive/Mestrado/Citologia_de_Cavidade_Oral/Models/Outputs/classification/models_hrnet_18_v41/final_state.pth.tar

Test

Run the metrics evaluations on the test set

from lapixdl.evaluation.evaluate import evaluate_classification
from tqdm import tqdm

test_dir = path_img / "test"
test_dataset = datasets.ImageFolder(
    test_dir,
    transforms.Compose([transforms.ToTensor(), normalize]),
    is_valid_file=lambda path: "/bbox_" not in path,
    target_transform=simplify_normal,
)
test_loader = torch.utils.data.DataLoader(
    test_dataset, batch_size=1, shuffle=False, num_workers=1, pin_memory=True
)

gt_classes = []
pred_classes = []

model.eval()
with torch.no_grad():
    for _, (input, target) in enumerate(tqdm(test_loader)):
        output = model(input)
        _, pred = output.topk(1, 1, True, True)
        pred = pred.t()
        pred

        gt_classes.append(Classification(int(target)))
        pred_classes.append(Classification(int(pred[0])))

eval = evaluate_classification(gt_classes, pred_classes, test_dataset.classes)
eval.show_confusion_matrix()

5042 samples [00:00, 512633.77 samples/s]
/usr/local/lib/python3.7/dist-packages/lapixdl/evaluation/model.py:217: RuntimeWarning: invalid value encountered in long_scalars
  return self.TP/(self.FP + self.TP)

Classification Metrics:
    Sample Count: 5042
    Accuracy: 0.6856406188020627
    Avg Recall: 0.5600167873714061
    Avg Precision: 0.681335774511752
    Avg Specificity: 0.9354023421732413
    Avg FPR: 0.06459765782675884
    Avg F-Score: 0.6834097666059157

By Class:

abnormal:
    TP: 1122
    TN: 2781
    FP: 591
    FN: 548
    FPR: 0.17526690391459074
    Accuracy: 0.7740975803252678
    Recall: 0.6718562874251497
    Precision: 0.6549912434325744
    Specificity: 0.8247330960854092
    F-Score: 0.6633165829145728
blood:
    TP: 420
    TN: 4118
    FP: 255
    FN: 249
    FPR: 0.05831237136976904
    Accuracy: 0.9000396667988894
    Recall: 0.6278026905829597
    Precision: 0.6222222222222222
    Specificity: 0.9416876286302309
    F-Score: 0.625
dividing:
    TP: 0
    TN: 5042
    FP: 0
    FN: 0
    FPR: 0.0
    Accuracy: 1.0
    Recall: No positive cases in GT
    Precision: 1
    Specificity: 1.0
    F-Score: 1
normal:
    TP: 742
    TN: 4019
    FP: 160
    FN: 121
    FPR: 0.0382866714525006
    Accuracy: 0.9442681475604918
    Recall: 0.8597914252607184
    Precision: 0.8226164079822617
    Specificity: 0.9617133285474994
    F-Score: 0.8407932011331445
not_defined:
    TP: 0
    TN: 5033
    FP: 0
    FN: 9
    FPR: 0.0
    Accuracy: 0.9982149940499802
    Recall: 0.0
    Precision: nan
    Specificity: 1.0
    F-Score: 0.0
out_of_focus:
    TP: 1173
    TN: 2632
    FP: 579
    FN: 658
    FPR: 0.18031765805045158
    Accuracy: 0.7546608488694962
    Recall: 0.6406335335882032
    Precision: 0.6695205479452054
    Specificity: 0.8196823419495485
    F-Score: 0.6547585821936924
reactive:
    TP: 0
    TN: 5042
    FP: 0
    FN: 0
    FPR: 0.0
    Accuracy: 1.0
    Recall: No positive cases in GT
    Precision: 1
    Specificity: 1.0
    F-Score: 1

(<Figure size 432x288 with 2 Axes>,
 <matplotlib.axes._subplots.AxesSubplot>)

Visual Demo

Pretty print a model prediction

import fastai.vision as fv
import PIL
from lapixdl.evaluation.model import Result

test_image_files = fv.get_image_files(path_img / "test", recurse=True)

cudnn.benchmark = True
cudnn.deterministic = False
cudnn.enabled = True

cfg.defrost()
cfg.merge_from_file(model_cfg_file)

cfg.GPUS = (0,)
cfg.WORKERS = 4
cfg.PRINT_FREQ = 20
cfg.AUTO_RESUME = False
cfg.PIN_MEMORY = True
cfg.RANK = 0

cfg.DATASET.DATASET = "ufsc-ocpap"
cfg.DATASET.DATA_FORMAT = "png"
cfg.DATASET.ROOT = str(path_img)
cfg.DATASET.TEST_SET = "val"
cfg.DATASET.TRAIN_SET = "train"

cfg.MODEL.PRETRAINED = ""  # '/pretrained.pth'
cfg.MODEL.IMAGE_SIZE = [256, 256]

# Validation

cfg.TEST.MODEL_FILE = ""
cfg.TEST.FLIP_TEST = False
cfg.TEST.SHIFT_HEATMAP = False
cfg.TEST.USE_GT_BBOX = False

cfg.freeze()

ic_model = eval("models." + cfg.MODEL.NAME + ".get_cls_net")(cfg)

model_state_file = os.path.join(path_models, "final_state.pth.tar")
ic_model.load_state_dict(torch.load(model_state_file))

gpus = list(cfg.GPUS)
ic_model = nn.DataParallel(ic_model, device_ids=gpus).cuda()

normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])

tms = transforms.Compose(
    [
        transforms.ToTensor(),
        normalize,
    ]
)


def ic_trans_model(img):
    return ic_model(tms(img)[None, ...])

=> init weights from normal distribution

test_dataset.classes

['abnormal',
 'blood',
 'dividing',
 'normal',
 'not_defined',
 'out_of_focus',
 'reactive']

vis_codes = [
    "Abnormal",
    "Blood",
    "Dividing",
    "Healthy",
    "Not Defined",
    "Out of Focus",
    "Reactive",
]

img_stem = "2019_07_10__14_48__0045_b0s0c0x181669-1600y20740-1200m2957"

test_img_nuclei_paths = [
    p
    for p in test_image_files
    if not p.stem.startswith("bbox_") and p.stem.endswith(img_stem)
]

results = []
for nuclei_path in test_img_nuclei_paths:
    gt_cls_name = nuclei_path.parent.stem
    gt_cls = test_dataset.classes.index(gt_cls_name)
    nuclei_pil_img = PIL.Image.open(nuclei_path).convert("RGB")
    output = ic_trans_model(nuclei_pil_img)
    probs = torch.nn.functional.softmax(output, dim=1)
    conf, clas = torch.max(probs, 1)

    results.append(
        Result(
            np.array(nuclei_pil_img),
            Classification(gt_cls),
            Classification(clas, round(float(conf), 2)),
        )
    )

fig, axes = show_classifications(results, vis_codes, cols=7)

for line in axes:
    for axe in line:
        axe.title.set_fontweight("bold")

fig.suptitle("")
fig.set_figheight(7)
fig.set_figwidth(12)
fig