---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-en
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: opus-mt-es-en-finetuned-en-to-es
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus_books
      type: opus_books
      config: en-es
      split: train
      args: en-es
    metrics:
    - name: Bleu
      type: bleu
      value: 12.6368
---

<!-- 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-mt-es-en-finetuned-en-to-es

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0963
- Bleu: 12.6368
- Gen Len: 45.2439

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.7993        | 1.0   | 2337  | 2.5049          | 9.0673  | 46.0969 |
| 2.434         | 2.0   | 4674  | 2.2687          | 10.9353 | 45.3797 |
| 2.2723        | 3.0   | 7011  | 2.1639          | 11.9589 | 45.3567 |
| 2.1979        | 4.0   | 9348  | 2.1117          | 12.4972 | 45.4107 |
| 2.1644        | 5.0   | 11685 | 2.0963          | 12.6368 | 45.2439 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3