---
license: apache-2.0
base_model: oSabre/opus_books_es_pt
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: opus_books_es_pt
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus_books
      type: opus_books
      config: es-pt
      split: train
      args: es-pt
    metrics:
    - name: Bleu
      type: bleu
      value: 0.5339
---

<!-- 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. -->

# opus_books_es_pt

This model is a fine-tuned version of [oSabre/opus_books_es_pt](https://huggingface.co/oSabre/opus_books_es_pt) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3469
- Bleu: 0.5339
- Gen Len: 18.3615

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 53   | 3.5692          | 0.1211 | 18.1174 |
| No log        | 2.0   | 106  | 3.4566          | 0.4345 | 18.2207 |
| No log        | 3.0   | 159  | 3.3922          | 0.4381 | 18.3756 |
| No log        | 4.0   | 212  | 3.3586          | 0.5165 | 18.3615 |
| No log        | 5.0   | 265  | 3.3469          | 0.5339 | 18.3615 |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0