---
library_name: transformers
license: mit
base_model: QizhiPei/biot5-plus-base-chebi20
tags:
- generated_from_trainer
model-index:
- name: biot5plus-ChemGen
  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. -->

# biot5plus-ChemGen

This model is a fine-tuned version of [QizhiPei/biot5-plus-base-chebi20](https://huggingface.co/QizhiPei/biot5-plus-base-chebi20) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1256

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 156  | 0.1680          |
| No log        | 2.0   | 312  | 0.1380          |
| No log        | 3.0   | 468  | 0.1293          |
| 0.8218        | 4.0   | 624  | 0.1265          |
| 0.8218        | 5.0   | 780  | 0.1256          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0