transformers pytorch tensorboard marian text2text-generation translation generated_from_trainer dataset:scielo license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- scielo
license: apache-2.0
metrics:
- bleu
tags:
- translation
- generated_from_trainer
model-index:
- name: opus-mt-es-en-scielo
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: scielo
      type: scielo
      args: en-es
    metrics:
    - type: bleu
      value: 40.87878888820179
      name: Bleu
---

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# opus-mt-es-en-scielo

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 scielo dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2593
- Bleu: 40.8788

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.4277        | 1.0   | 10001 | 1.3473          | 40.5849 |
| 1.2007        | 2.0   | 20002 | 1.3146          | 41.3308 |


### Framework versions

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