---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-openassistant-chat-final-2
  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-final-2

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: 3.1257
- Rougel: 0.0828

## 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: 36
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 288
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.7576        | 1.0   | 184  | 3.2561          | 0.0764 |
| 3.4768        | 2.0   | 368  | 3.1922          | 0.0811 |
| 3.4223        | 3.0   | 552  | 3.1580          | 0.0835 |
| 3.3925        | 4.0   | 736  | 3.1399          | 0.0825 |
| 3.3752        | 5.0   | 920  | 3.1297          | 0.0830 |
| 3.3685        | 6.0   | 1104 | 3.1257          | 0.0828 |


### Framework versions

- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4