--- license: cc-by-4.0 base_model: Helsinki-NLP/opus-mt-zh-en tags: - generated_from_keras_callback model-index: - name: koshyelias/marian-finetuned-kde4-zh-to-en results: [] --- # koshyelias/marian-finetuned-kde4-zh-to-en This model is a fine-tuned version of [Helsinki-NLP/opus-mt-zh-en](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 2.2600 - Validation Loss: 2.3127 - 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 57, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 2.8520 | 2.4378 | 0 | | 2.3967 | 2.3426 | 1 | | 2.2600 | 2.3127 | 2 | ### Framework versions - Transformers 4.37.2 - TensorFlow 2.14.0 - Datasets 2.16.1 - Tokenizers 0.15.1