learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 3

Training Loss	Epoch	Step	Validation Loss
0.3321	0.2288	500	0.8615
0.0911	0.4577	1000	0.4994
0.0815	0.6865	1500	0.1936
0.0521	0.9153	2000	0.1330
0.0517	1.1442	2500	0.1502
0.0392	1.3730	3000	0.1034
0.0346	1.6018	3500	0.1034
0.0346	1.8307	4000	0.1566
0.0305	2.0595	4500	0.0238
0.0212	2.2883	5000	0.0323
0.0165	2.5172	5500	0.0286
0.02	2.7460	6000	0.0229
0.0198	2.9748	6500	0.0206

akashNW/ner_model

ner_model