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
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0233	1.0	3734	0.0272	0.8978	0.9109	0.9043	0.9939
0.0165	2.0	7468	0.0214	0.9200	0.9228	0.9214	0.9949
0.0071	3.0	11202	0.0269	0.9218	0.9222	0.9220	0.9951
0.0042	4.0	14936	0.0275	0.9237	0.9259	0.9248	0.9951
0.0025	5.0	18670	0.0331	0.9226	0.9279	0.9253	0.9951
0.0014	6.0	22404	0.0370	0.9204	0.9276	0.9240	0.9949
0.0015	7.0	26138	0.0389	0.9225	0.9259	0.9242	0.9951
0.0	8.0	29872	0.0404	0.9263	0.9310	0.9286	0.9953
0.0003	9.0	33606	0.0426	0.9259	0.9300	0.9279	0.9952
0.0	10.0	37340	0.0430	0.9277	0.9296	0.9287	0.9951

thivy/nb-bert-norne-ner

nb-bert-norne-ner