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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - para_pat
metrics:
  - bleu
model-index:
  - name: opus-mt-ru-uk-finetuned-ru-to-uk
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: para_pat
          type: para_pat
          config: ru-uk
          split: train
          args: ru-uk
        metrics:
          - name: Bleu
            type: bleu
            value: 60.8071

opus-mt-ru-uk-finetuned-ru-to-uk

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

  • Loss: 0.8348
  • Bleu: 60.8071
  • Gen Len: 122.8841

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: 32
  • eval_batch_size: 32
  • 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
1.0428 1.0 2150 0.8348 60.8071 122.8841

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3