ECO_SPANBERT_1_DESCARTADO

'SpanBERT/spanbert-base-cased' training_args = TrainingArguments( output_dir='ECO_DEBERTA', evaluation_strategy="epoch", learning_rate=2e-5, per_device_train_batch_size=16, per_device_eval_batch_size=16, num_train_epochs=32, weight_decay=0.01, save_strategy="epoch", load_best_model_at_end=True, push_to_hub=True )

Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 No log 1.258691 0.000000 0.000000 0.000000 0.980338 2 1.384100 0.473128 0.000000 0.000000 0.000000 0.980338 3 1.384100 0.208567 0.000000 0.000000 0.000000 0.980338 4 0.254900 0.180245 0.000000 0.000000 0.000000 0.980338 5 0.254900 0.132307 0.000000 0.000000 0.000000 0.980338 6 0.143400 0.110726 0.161069 0.063359 0.090944 0.981309 7 0.143400 0.099000 0.218726 0.155568 0.181818 0.982443 8 0.091500 0.093783 0.301811 0.242653 0.269018 0.983087 9 0.091500 0.089372 0.374176 0.336748 0.354477 0.984019 10 0.066800 0.088663 0.385200 0.355082 0.369529 0.984208 11 0.066800 0.088930 0.359259 0.366136 0.362665 0.983793 12 0.051400 0.085646 0.382471 0.384740 0.383602 0.984464 13 0.051400 0.084439 0.410440 0.402804 0.406586 0.985200 14 0.040600 0.082329 0.401633 0.424373 0.412690 0.985034 15 0.040600 0.085740 0.410645 0.401456 0.405999 0.985344 16 0.032900 0.086786 0.420853 0.417902 0.419372 0.985266 17 0.032900 0.087108 0.422965 0.430035 0.426471 0.985424 18 0.027000 0.084872 0.411951 0.421947 0.416889 0.985531 19 0.027000 0.089524 0.435493 0.438663 0.437072 0.985274 20 0.023300 0.090247 0.423305 0.424104 0.423704 0.985095 21 0.023300 0.085435 0.444211 0.455109 0.449594 0.985959 22 0.019900 0.089636 0.439097 0.440280 0.439688 0.985517 23 0.019900 0.087967 0.444685 0.443246 0.443964 0.985774 24 0.017600 0.089286 0.423560 0.445942 0.434463 0.985505 25 0.017600 0.090371 0.443433 0.459693 0.451416 0.985507 26 0.015600 0.092374 0.451836 0.457805 0.454801 0.985723 27 0.015600 0.091545 0.452462 0.463198 0.457767 0.985830 28 0.014100 0.092681 0.454833 0.465624 0.460165 0.985834 29 0.014100 0.091881 0.450730 0.466163 0.458317 0.985871 30 0.013000 0.093198 0.444387 0.464276 0.454114 0.985606 31 0.013000 0.093104 0.447402 0.466703 0.456849 0.985756 32 0.012500 0.093041 0.447846 0.465355 0.456433 0.985818