transformers safetensors marian text2text-generation generated_from_trainer base_model:Helsinki-NLP/opus-mt-en-es license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: hensinki-en-es-finetuned-spanish-to-english-tateoba
  results: []
---

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# hensinki-en-es-finetuned-spanish-to-english-tateoba

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7389
- Bleu: 47.2153
- Gen Len: 13.8167

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.9651        | 1.0   | 7069  | 0.8372          | 43.0236 | 13.7961 |
| 0.8011        | 2.0   | 14138 | 0.7389          | 47.2153 | 13.8167 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
