---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-es-finetuned-es-to-maq-v0.1
  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. -->

# opus-mt-en-es-finetuned-es-to-maq-v0.1

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: 1.9026
- Bleu: 6.2542
- Gen Len: 85.8168

## 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: 32
- eval_batch_size: 32
- 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  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| No log        | 1.0   | 194  | 2.4894          | 2.7357 | 106.7282 |
| No log        | 2.0   | 388  | 2.2333          | 4.5116 | 90.6795  |
| 2.6136        | 3.0   | 582  | 2.1176          | 4.7062 | 91.1743  |
| 2.6136        | 4.0   | 776  | 2.0314          | 5.3422 | 89.0635  |
| 2.6136        | 5.0   | 970  | 1.9925          | 5.5413 | 90.2363  |
| 1.9444        | 6.0   | 1164 | 1.9523          | 6.1301 | 84.5288  |
| 1.9444        | 7.0   | 1358 | 1.9292          | 5.8244 | 88.6617  |
| 1.8038        | 8.0   | 1552 | 1.9137          | 6.2976 | 88.0     |
| 1.8038        | 9.0   | 1746 | 1.9062          | 6.2889 | 85.0679  |
| 1.8038        | 10.0  | 1940 | 1.9026          | 6.2542 | 85.8168  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3