learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 32
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Micro F1	Macro F1	Precision	Recall	F1 Limitation of l	F1 Unilateral term	F1 Unilateral chan	F1 Content removal	F1 Contract by usi	F1 Choice of law	F1 Jurisdiction	F1 Arbitration
0.0879	1.0	346	0.0753	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0390	2.0	692	0.0381	0.1864	0.0766	0.8667	0.1044	0.4565	0.1562	0.0	0.0	0.0	0.0	0.0	0.0
0.0313	3.0	1038	0.0273	0.7069	0.6811	0.7328	0.6827	0.7188	0.7788	0.6792	0.5116	0.72	0.7586	0.8205	0.4615
0.0271	4.0	1384	0.0284	0.6819	0.6798	0.6062	0.7791	0.6625	0.7903	0.6301	0.6154	0.5075	0.8387	0.8718	0.5217
0.0132	5.0	1730	0.0264	0.7059	0.7106	0.6897	0.7229	0.6726	0.7717	0.6076	0.6207	0.7317	0.8	0.8718	0.6087
0.0115	6.0	2076	0.0265	0.7081	0.6938	0.7308	0.6867	0.7107	0.7826	0.6364	0.6429	0.7234	0.7333	0.6897	0.6316
0.0067	7.0	2422	0.0254	0.7495	0.7520	0.7153	0.7871	0.7183	0.7769	0.7368	0.7097	0.7391	0.8485	0.85	0.6364
0.0037	8.0	2768	0.0285	0.7250	0.7358	0.6633	0.7992	0.6950	0.7376	0.7273	0.6667	0.68	0.8485	0.8947	0.6364
0.0052	9.0	3114	0.0278	0.7337	0.7267	0.6840	0.7912	0.7338	0.8167	0.6234	0.6207	0.7391	0.8485	0.8718	0.56
0.0035	10.0	3460	0.0298	0.7338	0.7314	0.6645	0.8193	0.7143	0.8	0.6575	0.6667	0.7083	0.8235	0.8718	0.6087

gaurv007/clauseguard-legal-bert

clauseguard-legal-bert