---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-es-en-finetuned-es-to-en
  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-es-en-finetuned-es-to-en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5851
- Bleu: 71.1382
- Gen Len: 10.3225

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 112  | 0.5693          | 71.7823 | 10.3676 |
| No log        | 2.0   | 224  | 0.5744          | 69.5504 | 10.6739 |
| No log        | 3.0   | 336  | 0.5784          | 71.6553 | 10.3117 |
| No log        | 4.0   | 448  | 0.5826          | 71.0576 | 10.3261 |
| 0.2666        | 5.0   | 560  | 0.5851          | 71.1382 | 10.3225 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.1
- Datasets 1.18.4
- Tokenizers 0.11.6