--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: opus-mt-ar-en-finetunedTanzil-v5-ar-to-en results: [] --- # opus-mt-ar-en-finetunedTanzil-v5-ar-to-en This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.8101 - Validation Loss: 0.9477 - Train Bleu: 9.3241 - Train Gen Len: 88.73 - Train Rouge1: 56.4906 - Train Rouge2: 34.2668 - Train Rougel: 53.2279 - Train Rougelsum: 53.7836 - Epoch: 2 ## 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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Epoch | |:----------:|:---------------:|:----------:|:-------------:|:------------:|:------------:|:------------:|:---------------:|:-----:| | 0.8735 | 0.9809 | 11.0863 | 78.68 | 56.4557 | 33.3673 | 53.4828 | 54.1197 | 0 | | 0.8408 | 0.9647 | 9.8543 | 88.955 | 57.3797 | 34.3539 | 53.8783 | 54.3714 | 1 | | 0.8101 | 0.9477 | 9.3241 | 88.73 | 56.4906 | 34.2668 | 53.2279 | 53.7836 | 2 | ### Framework versions - Transformers 4.17.0.dev0 - TensorFlow 2.7.0 - Datasets 1.18.4.dev0 - Tokenizers 0.10.3