---
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_model-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: 13.8765
---

<!-- 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_model-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: 1.9803
- Bleu: 13.8765
- Gen Len: 45.316

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.5745        | 1.0   | 4674  | 2.3717          | 10.1245 | 46.0135 |
| 2.2901        | 2.0   | 9348  | 2.1461          | 12.2345 | 45.3126 |
| 2.1356        | 3.0   | 14022 | 2.0491          | 13.1754 | 45.496  |
| 2.0507        | 4.0   | 18696 | 1.9967          | 13.689  | 45.3156 |
| 2.0222        | 5.0   | 23370 | 1.9803          | 13.8765 | 45.316  |


### Framework versions

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