biobertpt-all-finetuned-ner

This model is a fine-tuned version of pucpr/biobertpt-all on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.3721
• Precision: 0.0179
• Recall: 0.0149
• F1: 0.0163
• Accuracy: 0.6790

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: 2e-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	Accuracy
No log	1.0	1	2.7864	0.0091	0.0448	0.0152	0.3339
No log	2.0	2	2.5096	0.0097	0.0149	0.0118	0.6292
No log	3.0	3	2.3721	0.0179	0.0149	0.0163	0.6790

Framework versions

• Transformers 4.12.0.dev0
• Pytorch 1.9.1+cu102
• Datasets 1.13.3
• Tokenizers 0.10.3