transformers pytorch tensorboard marian text2text-generation translation generated_from_trainer dataset:scielo model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- scielo
metrics:
- bleu
tags:
- translation
- generated_from_trainer
model-index:
- name: opus-mt-en-es-scielo
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: scielo
      type: scielo
      args: en-es
    metrics:
    - type: bleu
      value: 41.53733801247958
      name: Bleu
---

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# opus-mt-en-es-scielo

This model is a fine-tuned version of [domenicrosati/opus-mt-en-es-scielo](https://huggingface.co/domenicrosati/opus-mt-en-es-scielo) on the scielo dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2189
- Bleu: 41.5373

## 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: 5.6e-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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.0943        | 1.0   | 10001 | 1.2189          | 41.5373 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
