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rdegt00/
bert-ner

tensorboard

safetensors

bert

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TrainOutput(global_step=3756, training_loss=0.024333955507816724, metrics={'train_runtime': 357.0138, 'train_samples_per_second': 168.145, 'train_steps_per_second': 10.521, 'total_flos': 364988125540962.0, 'train_loss': 0.024333955507816724, 'epoch': 6.0}

Evaluation Results

Epoch	Train Loss	Val Loss	Precision	Recall	F1	Accuracy
1	0.0266	0.0940	0.8858	0.9167	0.9010	0.9799
2	0.0250	0.1003	0.8796	0.9182	0.8985	0.9787
3	0.0219	0.0910	0.8842	0.9236	0.9034	0.9799
4	0.0274	0.0874	0.8966	0.9211	0.9087	0.9808
5	0.0242	0.0901	0.8937	0.9207	0.9070	0.9809
6	0.0195	0.0883	0.8979	0.9236	0.9106	0.9815

rdegt00/bert-ner

rdegt00/
bert-ner