---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
  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. -->

# my_awesome_opus_books_model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0125
- Bleu: 2.6796
- Gen Len: 16.5723

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 4.0572        | 1.0   | 875   | 3.5403          | 0.6761 | 16.6389 |
| 3.7186        | 2.0   | 1750  | 3.4207          | 1.0808 | 16.63   |
| 3.6028        | 3.0   | 2625  | 3.3393          | 1.6106 | 16.6017 |
| 3.5238        | 4.0   | 3500  | 3.2808          | 1.8017 | 16.5734 |
| 3.4853        | 5.0   | 4375  | 3.2328          | 1.8614 | 16.5654 |
| 3.4414        | 6.0   | 5250  | 3.1941          | 2.0524 | 16.5806 |
| 3.3865        | 7.0   | 6125  | 3.1596          | 2.066  | 16.5949 |
| 3.3489        | 8.0   | 7000  | 3.1347          | 2.209  | 16.5674 |
| 3.3318        | 9.0   | 7875  | 3.1102          | 2.2722 | 16.582  |
| 3.314         | 10.0  | 8750  | 3.0918          | 2.361  | 16.5643 |
| 3.2818        | 11.0  | 9625  | 3.0754          | 2.4055 | 16.5391 |
| 3.2743        | 12.0  | 10500 | 3.0600          | 2.4443 | 16.5766 |
| 3.2624        | 13.0  | 11375 | 3.0497          | 2.5144 | 16.5469 |
| 3.2403        | 14.0  | 12250 | 3.0389          | 2.5359 | 16.5914 |
| 3.2363        | 15.0  | 13125 | 3.0311          | 2.6375 | 16.5534 |
| 3.2109        | 16.0  | 14000 | 3.0243          | 2.6004 | 16.556  |
| 3.2168        | 17.0  | 14875 | 3.0197          | 2.6429 | 16.5517 |
| 3.1997        | 18.0  | 15750 | 3.0148          | 2.6728 | 16.5611 |
| 3.1963        | 19.0  | 16625 | 3.0131          | 2.6555 | 16.58   |
| 3.1958        | 20.0  | 17500 | 3.0125          | 2.6796 | 16.5723 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3