---
base_model: dmis-lab/biobert-base-cased-v1.1
tags:
- generated_from_trainer
model-index:
- name: ontochem_biobert_300_1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ontochem_biobert_300_1

This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.1](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9781

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 1.1439          |
| No log        | 2.0   | 10   | 1.1388          |
| No log        | 3.0   | 15   | 1.1303          |
| No log        | 4.0   | 20   | 1.1182          |
| No log        | 5.0   | 25   | 1.1027          |
| No log        | 6.0   | 30   | 1.0839          |
| No log        | 7.0   | 35   | 1.0618          |
| No log        | 8.0   | 40   | 1.0368          |
| No log        | 9.0   | 45   | 1.0089          |
| No log        | 10.0  | 50   | 0.9781          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2