learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2095	1.0	11	2.6973	0.1905
2.1537	2.0	22	2.6885	0.1667
2.3281	3.0	33	2.6838	0.1429
2.3004	4.0	44	2.6759	0.1667
2.3531	5.0	55	2.6765	0.1905
2.4045	6.0	66	2.6647	0.1905
2.3842	7.0	77	2.6552	0.2143
2.4049	8.0	88	2.6505	0.2381
2.3972	9.0	99	2.6470	0.2143
2.4238	10.0	110	2.6428	0.2143
2.4359	11.0	121	2.6429	0.1905
2.4042	12.0	132	2.6383	0.2619
2.4737	13.0	143	2.6364	0.2381
2.4003	14.0	154	2.6280	0.2143
2.382	15.0	165	2.6319	0.2619

desarrolloasesoreslocales/cvt-13-finetuned-AL

cvt-13-finetuned-AL