detr-r50-mist1-bg-8ah-6l

Markdown code:

Modelo de ejemplo
detr-r50-mist1-bg-8ah-6l

## Hyperparámetros de entrenamiento utilizados:

learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam con betas=(0.9,0.999) y epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25
mixed_precision_training: AMP nativo

## Resultados del entrenamiento:

Pérdida de entrenamiento

Epoch Step Pérdida de validación

3.6794 1.0 115 2.8222
3.0269 2.0 230 2.8120
2.8681 3.0 345 2.7980
2.752 4.0 460 2.4853
2.7715 5.0 575 2.4140
2.6846 6.0 690 2.4715
2.6236 7.0 805 2.4614
2.5318 8.0 920 2.3441
2.5224 9.0 1035 2.2837
2.4661 10.0 1150 2.2510
2.4313 11.0 1265 2.3339
2.4125 12.0 1380 2.2957
2.4113 13.0 1495 2.2358
2.3784 14.0 1610 2.2635
2.3199 15.0 1725 2.2320
2.3321 16.0 1840 2.2250
2.3305 17.0 1955 2.2020
2.2932 18.0 2070 2.1826
2.2952 19.0 2185 2.1626
2.2663 20.0 2300 2.1573
2.2916 21.0 2415 2.1653
2.2703 22.0 2530 2.1444
2.2431 23.0 2645 2.1374
2.2243 24.0 2760 2.1276
2.2413 25.0 2875 2.1031