---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: hensinki-en-es-finetuned-english-to-spanish-tateoba
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hensinki-en-es-finetuned-english-to-spanish-tateoba

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5236
- Bleu: 58.629
- Gen Len: 8.6642

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.5416        | 1.0   | 7069  | 0.5150          | 58.2349 | 8.6272  |
| 0.457         | 2.0   | 14138 | 0.5116          | 58.5559 | 8.6372  |
| 0.4021        | 3.0   | 21207 | 0.5172          | 58.7017 | 8.6416  |
| 0.3477        | 4.0   | 28276 | 0.5202          | 58.6269 | 8.6579  |
| 0.3254        | 5.0   | 35345 | 0.5236          | 58.629  | 8.6642  |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2