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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# traductor-de-en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9462
- Bleu: 22.8119
- Gen Len: 28.2148

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.0710        | 1.0   | 1563 | 1.9678          | 22.5921 | 28.1746 |
| 1.9293        | 2.0   | 3126 | 1.9462          | 22.8119 | 28.2148 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.9.0+cu126
- Datasets 4.5.0
- Tokenizers 0.22.2