---
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-v2
  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-v2

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: 1.7424
- Bleu: 7.2893
- Gen Len: 88.7368

## 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   | 199  | 2.3492          | 2.8829 | 112.5101 |
| No log        | 2.0   | 398  | 2.0881          | 4.6067 | 91.5164  |
| 2.6444        | 3.0   | 597  | 1.9612          | 5.3841 | 93.9332  |
| 2.6444        | 4.0   | 796  | 1.8841          | 5.7548 | 90.3476  |
| 2.6444        | 5.0   | 995  | 1.8330          | 6.1233 | 87.9055  |
| 1.9708        | 6.0   | 1194 | 1.7965          | 6.7074 | 91.0063  |
| 1.9708        | 7.0   | 1393 | 1.7734          | 6.9091 | 89.267   |
| 1.8266        | 8.0   | 1592 | 1.7564          | 7.0616 | 88.6272  |
| 1.8266        | 9.0   | 1791 | 1.7456          | 7.1479 | 89.2531  |
| 1.8266        | 10.0  | 1990 | 1.7424          | 7.2893 | 88.7368  |


### Framework versions

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