---
base_model: dmis-lab/biobert-base-cased-v1.1
tags:
- generated_from_trainer
model-index:
- name: ontochem_biobert_half
  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_half

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: 0.0778

## 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: 14

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 24   | 0.9696          |
| No log        | 2.0   | 48   | 0.8620          |
| No log        | 3.0   | 72   | 0.6842          |
| No log        | 4.0   | 96   | 0.4193          |
| No log        | 5.0   | 120  | 0.1765          |
| No log        | 6.0   | 144  | 0.1210          |
| No log        | 7.0   | 168  | 0.0996          |
| No log        | 8.0   | 192  | 0.0849          |
| No log        | 9.0   | 216  | 0.0770          |
| No log        | 10.0  | 240  | 0.0739          |
| No log        | 11.0  | 264  | 0.0739          |
| No log        | 12.0  | 288  | 0.0731          |
| No log        | 13.0  | 312  | 0.0751          |
| No log        | 14.0  | 336  | 0.0778          |


### Framework versions

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