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---
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
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