learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 2
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.8853	0.1302	100	2.8477	0.2176
2.7962	0.2604	200	2.5644	0.1985
2.4273	0.3906	300	2.3036	0.2885
2.1587	0.5208	400	2.1759	0.3305
2.1721	0.6510	500	2.0160	0.3405
2.0539	0.7812	600	1.8444	0.4084
1.7687	0.9115	700	1.7824	0.4069
1.7545	1.0417	800	1.6203	0.5092
1.5865	1.1719	900	1.5315	0.5176
1.3489	1.3021	1000	1.6056	0.5084
1.2064	1.4323	1100	1.2743	0.5878
1.1963	1.5625	1200	1.1703	0.6336
1.0333	1.6927	1300	1.1410	0.6412
1.1828	1.8229	1400	1.0684	0.6473
0.6996	1.9531	1500	0.9751	0.6809

mbiarreta/beit-ena24

beit-ena24