---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus_books
      type: opus_books
      config: en-fr
      split: train
      args: en-fr
    metrics:
    - name: Bleu
      type: bleu
      value: 6.1787
---

<!-- 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 [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5208
- Bleu: 6.1787
- Gen Len: 17.5934

## 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: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.9112        | 1.0   | 1589  | 1.6537          | 5.2795 | 17.6478 |
| 1.8421        | 2.0   | 3178  | 1.6098          | 5.6138 | 17.6216 |
| 1.8012        | 3.0   | 4767  | 1.5801          | 5.7983 | 17.6147 |
| 1.776         | 4.0   | 6356  | 1.5611          | 5.9587 | 17.6061 |
| 1.7581        | 5.0   | 7945  | 1.5474          | 6.0336 | 17.5977 |
| 1.7416        | 6.0   | 9534  | 1.5368          | 6.0882 | 17.5966 |
| 1.7261        | 7.0   | 11123 | 1.5297          | 6.1366 | 17.5969 |
| 1.7279        | 8.0   | 12712 | 1.5245          | 6.1442 | 17.5948 |
| 1.7112        | 9.0   | 14301 | 1.5217          | 6.1715 | 17.5931 |
| 1.7162        | 10.0  | 15890 | 1.5208          | 6.1787 | 17.5934 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0