---
base_model: dmis-lab/biobert-base-cased-v1.2
tags:
- generated_from_trainer
model-index:
- name: biobert-base-cased-v1.2-finetuned-smpc
  results: []
---

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

This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/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