---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spanish-spanglish
  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. -->

# spanish-spanglish

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9401
- Bleu: 29.8764
- Gen Len: 15.725

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.5094        | 1.0   | 10   | 0.9295          | 28.2464 | 16.325  |
| 0.385         | 2.0   | 20   | 0.9574          | 24.2148 | 13.925  |
| 0.3085        | 3.0   | 30   | 0.9097          | 30.5954 | 15.925  |
| 0.2548        | 4.0   | 40   | 0.9455          | 25.5705 | 14.6    |
| 0.2283        | 5.0   | 50   | 0.9268          | 28.5459 | 15.675  |
| 0.2193        | 6.0   | 60   | 0.9306          | 28.1665 | 15.65   |
| 0.1902        | 7.0   | 70   | 0.9363          | 29.2711 | 15.525  |
| 0.1784        | 8.0   | 80   | 0.9349          | 30.2007 | 15.75   |
| 0.1647        | 9.0   | 90   | 0.9393          | 29.8764 | 15.725  |
| 0.1532        | 10.0  | 100  | 0.9401          | 29.8764 | 15.725  |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1