biobert-base-cased-v1.2-finetuned-smpc

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on SMPC (https://www.medicines.org.uk/) dataset. It achieves the following results on the evaluation set:

• Loss: 1.0198

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: 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.3354	1.0	157	1.1175
1.1599	2.0	314	1.0456
1.1063	3.0	471	1.0232

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.2
• Tokenizers 0.13.3