--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: kabelomalapane/Helsinki-NLP-opus-finetuned-en-to-zu results: [] --- # kabelomalapane/Helsinki-NLP-opus-finetuned-en-to-zu This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-mul) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 1.5907 - Validation Loss: 1.6321 - Epoch: 2 ## Model description More information needed ## Intended uses & limitations This model is to be used to translate English into Zulu. But there are still some problems in running this model, so it's still to be modified. ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 783, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: mixed_float16 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 2.1622 | 1.7379 | 0 | | 1.7292 | 1.6529 | 1 | | 1.5907 | 1.6321 | 2 | ### Framework versions - Transformers 4.16.2 - TensorFlow 2.8.0 - Datasets 1.18.3 - Tokenizers 0.11.0