<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
adeebt/opus-mt-en-ml-finetuned-en-to-ml
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ml on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.5102
- Validation Loss: 2.2650
- Train Bleu: 6.9525
- Train Gen Len: 22.3542
- Epoch: 0
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.0002, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
---|---|---|---|---|
2.5102 | 2.2650 | 6.9525 | 22.3542 | 0 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1