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

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# hensinki-es-en-finetuned-spanish-to-english-tateoba

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3370
- Bleu: 70.0138
- Gen Len: 9.0521

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.3851        | 1.0   | 7069  | 0.3448          | 68.9609 | 9.0392  |
| 0.3074        | 2.0   | 14138 | 0.3376          | 69.8139 | 9.0405  |
| 0.2582        | 3.0   | 21207 | 0.3370          | 70.0138 | 9.0521  |


### Framework versions

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