README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-pt-ca
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
metrics:
  - bleu
model-index:
  - name: finetuned-kde4-pt-to-ca
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: kde4
          type: kde4
          config: ca-pt
          split: train
          args: ca-pt
        metrics:
          - name: Bleu
            type: bleu
            value: 76.02074317274858

finetuned-kde4-pt-to-ca

This model is a fine-tuned version of Helsinki-NLP/opus-mt-pt-ca on the kde4 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3194
• Bleu: 76.0207

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
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1