--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro results: [] --- # adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ROMANCE](https://huggingface.co/Helsinki-NLP/opus-mt-en-ROMANCE) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.7147 - Validation Loss: 1.2474 - Train Bleu: 26.0422 - Train Gen Len: 51.6875 - 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': 2e-05, '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 | |:----------:|:---------------:|:----------:|:-------------:|:-----:| | 0.7147 | 1.2474 | 26.0422 | 51.6875 | 0 | ### Framework versions - Transformers 4.19.2 - TensorFlow 2.8.0 - Datasets 2.2.1 - Tokenizers 0.12.1