---
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-pbb-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-pbb-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: 1.7969
- Bleu: 1.5951
- Gen Len: 90.2946

## 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  | 2.5441          | 0.4291 | 116.186 |
| No log        | 2.0   | 388  | 2.2092          | 0.6579 | 93.4866 |
| 2.6835        | 3.0   | 582  | 2.0599          | 0.698  | 96.8631 |
| 2.6835        | 4.0   | 776  | 1.9695          | 1.0624 | 90.817  |
| 2.6835        | 5.0   | 970  | 1.9087          | 1.0183 | 92.7232 |
| 1.9199        | 6.0   | 1164 | 1.8623          | 1.2926 | 90.9807 |
| 1.9199        | 7.0   | 1358 | 1.8342          | 1.3107 | 92.122  |
| 1.7744        | 8.0   | 1552 | 1.8145          | 1.3784 | 90.314  |
| 1.7744        | 9.0   | 1746 | 1.8020          | 1.4162 | 90.8006 |
| 1.7744        | 10.0  | 1940 | 1.7969          | 1.5951 | 90.2946 |


### Framework versions

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