model_opus-mt-tc-big-en-pt-finetuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-pt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9480
- Bleu: 47.1118
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 4.39.3
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.15.2
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Model tree for Miguelcj1/model_opus-mt-tc-big-en-pt-finetuned
Base model
Helsinki-NLP/opus-mt-tc-big-en-pt
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