---
tags:
- generated_from_trainer
model-index:
- name: ontochem_biobert_cross_valid_4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ontochem_biobert_cross_valid_4

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0427

## 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    | 0.0443          |
| No log        | 2.0   | 10   | 0.0443          |
| No log        | 3.0   | 15   | 0.0442          |
| No log        | 4.0   | 20   | 0.0441          |
| No log        | 5.0   | 25   | 0.0439          |
| No log        | 6.0   | 30   | 0.0437          |
| No log        | 7.0   | 35   | 0.0435          |
| No log        | 8.0   | 40   | 0.0433          |
| No log        | 9.0   | 45   | 0.0430          |
| No log        | 10.0  | 50   | 0.0427          |


### Framework versions

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