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update model card README.md
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metadata
tags:
  - translation
  - generated_from_trainer
datasets:
  - scielo
metrics:
  - bleu
model-index:
  - name: opus-mt-en-es-scielo
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: scielo
          type: scielo
          args: en-es
        metrics:
          - name: Bleu
            type: bleu
            value: 41.53733801247958

opus-mt-en-es-scielo

This model is a fine-tuned version of 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