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End of training
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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ru
tags:
  - generated_from_trainer
datasets:
  - wmt16
metrics:
  - bleu
model-index:
  - name: opus-mt-en-ru-finetuned-en-to-ru-amls
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wmt16
          type: wmt16
          config: ru-en
          split: validation
          args: ru-en
        metrics:
          - name: Bleu
            type: bleu
            value: 28.7642

opus-mt-en-ru-finetuned-en-to-ru-amls

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the wmt16 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2832
  • Bleu: 28.7642
  • Gen Len: 29.495

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: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.9806 1.0 94761 1.2832 28.7642 29.495

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.13.3