README.md

metadata

license: apache-2.0
tags:
  - translation
  - generated_from_trainer
datasets:
  - tatoeba
metrics:
  - bleu
model-index:
  - name: marian-finetuned-opus-mt-en-tl
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: tatoeba
          type: tatoeba
          config: en-tl
          split: train
          args: en-tl
        metrics:
          - name: Bleu
            type: bleu
            value: 35.9113771495936

marian-finetuned-opus-mt-en-tl

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

• Loss: 1.2611
• Bleu: 35.9114

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: 64
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.0
• Datasets 2.10.1
• Tokenizers 0.13.2