biobert-v1.1-ner

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5211
• Precision: 0.0
• Recall: 0.0
• F1: 0.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.575	1.0	2	0.5679	0.0	0.0	0.0
0.575	2.0	4	0.5512	0.0	0.0	0.0
0.575	3.0	6	0.5387	0.0	0.0	0.0
0.575	4.0	8	0.5294	0.0	0.0	0.0
0.5527	5.0	10	0.5236	0.0	0.0	0.0
0.5527	6.0	12	0.5211	0.0	0.0	0.0

Framework versions

• Transformers 4.28.1
• Pytorch 2.3.1+cu121
• Datasets 2.19.1
• Tokenizers 0.13.3