README.md

metadata

license: mit
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
metrics:
  - bleu
model-index:
  - name: m2m100_418M-finetuned-kde4-en-to-pt_BR
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: kde4
          type: kde4
          args: en-pt_BR
        metrics:
          - name: Bleu
            type: bleu
            value: 58.31959113813223

m2m100_418M-finetuned-kde4-en-to-pt_BR

This model is a fine-tuned version of facebook/m2m100_418M on the kde4 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5150
• Bleu: 58.3196

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: 8
• eval_batch_size: 8
• 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 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1