learning_rate: 1e-05
train_batch_size: 60
eval_batch_size: 60
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 240
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
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	72	0.5375	0.7480	0.7056	0.8512	0.7716
No log	2.0	144	0.4962	0.7762	0.8253	0.7006	0.7579
No log	3.0	216	0.5092	0.7620	0.7192	0.8596	0.7831
No log	4.0	288	0.4782	0.7915	0.7696	0.8322	0.7996
No log	5.0	360	0.4404	0.8073	0.8097	0.8033	0.8065
No log	6.0	432	0.4548	0.8050	0.8801	0.7062	0.7836
1.8472	7.0	504	0.4341	0.8154	0.8418	0.7768	0.8080
1.8472	8.0	576	0.4251	0.8166	0.8429	0.7782	0.8093
1.8472	9.0	648	0.4290	0.8192	0.8434	0.7838	0.8125
1.8472	10.0	720	0.4262	0.8194	0.8348	0.7964	0.8151

sms112/bact_roberta_large_essentiality_Network

bact_roberta_large_essentiality_Network