---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: modelo_ta_es_en_ddhh
  results: []
---

<!-- 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. -->

# modelo_ta_es_en_ddhh

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5067
- Bleu: 62.2593

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8053        | 1.0   | 11   | 0.4976          | 59.4263 |
| 0.5226        | 2.0   | 22   | 0.4817          | 56.5988 |
| 0.4773        | 3.0   | 33   | 0.4812          | 58.7628 |
| 0.2781        | 4.0   | 44   | 0.4856          | 60.2774 |
| 0.3026        | 5.0   | 55   | 0.4914          | 60.1256 |
| 0.2559        | 6.0   | 66   | 0.4969          | 60.1256 |
| 0.2074        | 7.0   | 77   | 0.5001          | 60.3113 |
| 0.1935        | 8.0   | 88   | 0.5049          | 60.3113 |
| 0.1811        | 9.0   | 99   | 0.5061          | 62.2593 |
| 0.1420        | 10.0  | 110  | 0.5067          | 62.2593 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2