learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 52
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
num_epochs: 2

Training Loss	Epoch	Step	Validation Loss	F1
0.4165	0.1667	50	0.3038	0.0014
0.3627	0.3333	100	0.2643	0.0043
0.2776	0.5	150	0.2914	0.0146
0.229	0.6667	200	0.1869	0.1883
0.1945	0.8333	250	0.1671	0.2568
0.1574	1.0	300	0.1592	0.3238
0.1056	1.1667	350	0.1710	0.4048
0.1117	1.3333	400	0.1657	0.3649
0.117	1.5	450	0.1692	0.3792
0.1176	1.6667	500	0.1604	0.3802
0.0972	1.8333	550	0.1705	0.3515
0.1086	2.0	600	0.1590	0.3833

luisgasco/model_ner_master

output-model