bioBERT-finetuned-biopharma-dive

This model is a fine-tuned version of daniel-gordon/bioBERT-finetuned-financial-phrasebank on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9018
• F1: 0.6009

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	F1
No log	1.0	110	0.9018	0.6009
No log	2.0	220	0.9249	0.5851
No log	3.0	330	1.0173	0.5835

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0