learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 64
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
lr_scheduler_warmup_steps: 200
num_epochs: 2

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.4973	0.2251	400	0.2696	0.9303	0.8552	0.9688	0.7654
0.2865	0.4502	800	0.1839	0.9502	0.9020	0.9583	0.8519
0.2234	0.6753	1200	0.1078	0.9635	0.9337	0.9118	0.9568
0.1829	0.9004	1600	0.1148	0.9635	0.9325	0.9268	0.9383
0.1506	1.1255	2000	0.1339	0.9701	0.9448	0.9390	0.9506
0.1315	1.3506	2400	0.1094	0.9652	0.9362	0.9222	0.9506
0.1208	1.5757	2800	0.1312	0.9635	0.9317	0.9375	0.9259
0.1071	1.8008	3200	0.1273	0.9652	0.9354	0.9325	0.9383

paulo037/longformer-schema-linking

longformer-schema-linking