learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
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: 50
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.1287	1.0	8317	0.5023
0.1249	2.0	16634	0.4836
0.1214	3.0	24951	0.4746
0.1225	4.0	33268	0.4691
0.1212	5.0	41585	0.4653
0.1192	6.0	49902	0.4625
0.1203	7.0	58219	0.4595
0.1182	8.0	66536	0.4579
0.117	9.0	74853	0.4565
0.1184	10.0	83170	0.4543
0.1165	11.0	91487	0.4539
0.116	12.0	99804	0.4528
0.117	13.0	108121	0.4515
0.1161	14.0	116438	0.4512
0.1149	15.0	124755	0.4510
0.1157	16.0	133072	0.4503
0.1162	17.0	141389	0.4497
0.1155	18.0	149706	0.4497
0.115	19.0	158023	0.4496
0.1156	20.0	166340	0.4488
0.1156	21.0	174657	0.4492
0.114	22.0	182974	0.4483
0.1122	23.0	191291	0.4488
0.1134	24.0	199608	0.4480
0.114	25.0	207925	0.4476
0.1159	26.0	216242	0.4481
0.115	27.0	224559	0.4475
0.1145	28.0	232876	0.4475
0.1141	29.0	241193	0.4477

augustocsc/Se124M500KInfSimple

Se124M500KInfSimple