---
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-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-pbb-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: 1.6535
- Bleu: 1.2729
- Gen Len: 90.5316

## 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  | 2.3626          | 0.171  | 109.5972 |
| No log        | 2.0   | 398  | 2.0302          | 0.3065 | 95.3081  |
| 2.712         | 3.0   | 597  | 1.8861          | 0.7019 | 96.8497  |
| 2.712         | 4.0   | 796  | 1.8081          | 0.6924 | 93.4432  |
| 2.712         | 5.0   | 995  | 1.7496          | 0.9599 | 90.7563  |
| 1.942         | 6.0   | 1194 | 1.7133          | 1.0843 | 92.4646  |
| 1.942         | 7.0   | 1393 | 1.6859          | 1.1072 | 92.8725  |
| 1.7861        | 8.0   | 1592 | 1.6696          | 1.243  | 91.2184  |
| 1.7861        | 9.0   | 1791 | 1.6569          | 1.2595 | 90.1641  |
| 1.7861        | 10.0  | 1990 | 1.6535          | 1.2729 | 90.5316  |


### Framework versions

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