learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
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: 5

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1238	0.1582	100	0.1158	0.9757	0.9679
0.0966	0.3165	200	0.0470	0.9924	0.9912
0.0269	0.4747	300	0.0364	0.9942	0.9931
0.0178	0.6329	400	0.0336	0.9947	0.9935
0.0428	0.7911	500	0.0327	0.9940	0.9933
0.0062	0.9494	600	0.0296	0.9949	0.9937
0.0370	1.1076	700	0.0262	0.9947	0.9935
0.0201	1.2658	800	0.0279	0.9947	0.9935
0.0231	1.4241	900	0.0252	0.9953	0.9948
0.0193	1.5823	1000	0.0249	0.9953	0.9942
0.0189	1.7405	1100	0.0263	0.9951	0.9941
0.0201	1.8987	1200	0.0256	0.9953	0.9947

ParamDev/clinicalbert-medical-doc-classifier

clinicalbert-medical-doc-classifier