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narrativa-finetuned-wmt22-en-pt-br

This model is a fine-tuned version of Narrativa/mbart-large-50-finetuned-opus-en-pt-translation on an unknown dataset.

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

• epoch = 3.0
• eval_bleu = 66.8543
• eval_gen_len = 13.5105
• eval_loss = 0.4934
• eval_runtime = 0:00:20.01
• eval_samples = 190
• eval_samples_per_second = 9.492
• eval_steps_per_second = 2.398

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 1.12.1+cu116
• Datasets 2.4.0
• Tokenizers 0.12.1