README.md

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: 69.8238

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: 0.5087
• Bleu: 69.8238
• Gen Len: 100.5158

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
0.6239	1.0	4299	0.5087	69.8238	100.5158

Framework versions

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