---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-openassistant-chat
  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. -->

# t5-small-openassistant-chat

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1785

## 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: 80
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.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: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.3768        | 1.0   | 301   | 2.3842          |
| 2.6839        | 2.0   | 602   | 2.3277          |
| 2.6351        | 3.0   | 903   | 2.2995          |
| 2.6016        | 4.0   | 1204  | 2.2818          |
| 2.5803        | 5.0   | 1505  | 2.2680          |
| 2.5587        | 6.0   | 1806  | 2.2571          |
| 2.541         | 7.0   | 2107  | 2.2481          |
| 2.5323        | 8.0   | 2408  | 2.2409          |
| 2.5102        | 9.0   | 2709  | 2.2349          |
| 2.5063        | 10.0  | 3010  | 2.2288          |
| 2.4953        | 11.0  | 3311  | 2.2242          |
| 2.4926        | 12.0  | 3612  | 2.2192          |
| 2.4786        | 13.0  | 3913  | 2.2154          |
| 2.472         | 14.0  | 4214  | 2.2117          |
| 2.4662        | 15.0  | 4515  | 2.2079          |
| 2.4553        | 16.0  | 4816  | 2.2051          |
| 2.4472        | 17.0  | 5117  | 2.2020          |
| 2.4488        | 18.0  | 5418  | 2.2008          |
| 2.4367        | 19.0  | 5719  | 2.1972          |
| 2.4353        | 20.0  | 6020  | 2.1952          |
| 2.429         | 21.0  | 6321  | 2.1934          |
| 2.4247        | 22.0  | 6622  | 2.1912          |
| 2.4242        | 23.0  | 6923  | 2.1901          |
| 2.4196        | 24.0  | 7224  | 2.1887          |
| 2.4169        | 25.0  | 7525  | 2.1873          |
| 2.4122        | 26.0  | 7826  | 2.1862          |
| 2.4089        | 27.0  | 8127  | 2.1851          |
| 2.4042        | 28.0  | 8428  | 2.1841          |
| 2.4061        | 29.0  | 8729  | 2.1831          |
| 2.4007        | 30.0  | 9030  | 2.1823          |
| 2.397         | 31.0  | 9331  | 2.1814          |
| 2.3998        | 32.0  | 9632  | 2.1810          |
| 2.3963        | 33.0  | 9933  | 2.1805          |
| 2.3976        | 34.0  | 10234 | 2.1798          |
| 2.3919        | 35.0  | 10535 | 2.1794          |
| 2.3873        | 36.0  | 10836 | 2.1793          |
| 2.3899        | 37.0  | 11137 | 2.1789          |
| 2.3886        | 38.0  | 11438 | 2.1786          |
| 2.3906        | 39.0  | 11739 | 2.1786          |
| 2.393         | 40.0  | 12040 | 2.1785          |


### Framework versions

- Transformers 4.55.2
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4