---
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: 8.665
---

<!-- 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: 1.1887
- Bleu: 8.665
- Gen Len: 17.52

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 1.6522        | 1.0   | 6355   | 1.4220          | 6.8084 | 17.5646 |
| 1.5046        | 2.0   | 12710  | 1.3440          | 7.2961 | 17.5479 |
| 1.424         | 3.0   | 19065  | 1.3085          | 7.6625 | 17.5388 |
| 1.3927        | 4.0   | 25420  | 1.2794          | 7.8254 | 17.5447 |
| 1.3279        | 5.0   | 31775  | 1.2606          | 8.0112 | 17.5417 |
| 1.2972        | 6.0   | 38130  | 1.2440          | 8.159  | 17.5222 |
| 1.263         | 7.0   | 44485  | 1.2328          | 8.2809 | 17.5201 |
| 1.2414        | 8.0   | 50840  | 1.2263          | 8.3546 | 17.5234 |
| 1.2216        | 9.0   | 57195  | 1.2144          | 8.4076 | 17.537  |
| 1.1954        | 10.0  | 63550  | 1.2076          | 8.425  | 17.5313 |
| 1.1741        | 11.0  | 69905  | 1.2069          | 8.4543 | 17.5247 |
| 1.1573        | 12.0  | 76260  | 1.1971          | 8.5306 | 17.5245 |
| 1.1423        | 13.0  | 82615  | 1.1989          | 8.6061 | 17.5168 |
| 1.1329        | 14.0  | 88970  | 1.1946          | 8.6169 | 17.5322 |
| 1.1145        | 15.0  | 95325  | 1.1926          | 8.6135 | 17.5258 |
| 1.1007        | 16.0  | 101680 | 1.1889          | 8.6164 | 17.5314 |
| 1.1127        | 17.0  | 108035 | 1.1882          | 8.686  | 17.5217 |
| 1.0888        | 18.0  | 114390 | 1.1884          | 8.6621 | 17.5209 |
| 1.0737        | 19.0  | 120745 | 1.1883          | 8.673  | 17.5209 |
| 1.0733        | 20.0  | 127100 | 1.1887          | 8.665  | 17.52   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3