biobert-v1.1-BC2GM-IOBES

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

• Loss: 0.2095
• Precision: 0.4505
• Recall: 0.4762
• F1: 0.4630

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.1812	1.0	2	0.2149	0.4706	0.4571	0.4638
0.1812	2.0	4	0.2109	0.4519	0.4476	0.4498
0.1812	3.0	6	0.2095	0.4505	0.4762	0.4630

Framework versions

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