---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: model_en_pt
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus_books
      type: opus_books
      config: en-pt
      split: train
      args: en-pt
    metrics:
    - name: Bleu
      type: bleu
      value: 1.0547
---

<!-- 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. -->

# model_en_pt

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: 3.1561
- Bleu: 1.0547
- Gen Len: 17.8369

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 79   | 3.4923          | 1.2907 | 17.2624 |
| No log        | 2.0   | 158  | 3.3099          | 0.8388 | 17.2482 |
| No log        | 3.0   | 237  | 3.2192          | 0.8526 | 17.7021 |
| No log        | 4.0   | 316  | 3.1709          | 0.9618 | 17.8298 |
| No log        | 5.0   | 395  | 3.1561          | 1.0547 | 17.8369 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0