README.md

metadata

license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-tr
tags:
  - translation
  - generated_from_trainer
datasets:
  - tatoeba
metrics:
  - bleu
model-index:
  - name: opus-mt-tc-big-en-tr
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: tatoeba
          type: tatoeba
          config: en-tr
          split: train
          args: en-tr
        metrics:
          - name: Bleu
            type: bleu
            value: 54.405510741899164

opus-mt-tc-big-en-tr

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

• Loss: 0.5573
• Bleu: 54.4055

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: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2