learning_rate: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 0
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	161	0.4019	0.8374
No log	2.0	322	0.3573	0.8601
No log	3.0	483	0.3882	0.8497
0.4137	4.0	644	0.3756	0.8269
0.4137	5.0	805	0.3781	0.8374
0.4137	6.0	966	0.3479	0.8531
0.3429	7.0	1127	0.3835	0.8514
0.3429	8.0	1288	0.3676	0.8479
0.3429	9.0	1449	0.3699	0.8514
0.3077	10.0	1610	0.3768	0.8357

bif02/operons_function_family_conservation_string_511145

operons_function_family_conservation_string_511145