metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-pt-ca
tags:
  - 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: 76.04431140837767

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: 0.0357
Bleu: 76.0443

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