--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-en-zh tags: - generated_from_keras_callback model-index: - name: pastells/en-zh-test results: [] --- # pastells/en-zh-test This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 3.6747 - Validation Loss: 4.4216 - Train Bleu: 0.0097 - Train Gen Len: 100.1395 - Epoch: 4 ## 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 | |:----------:|:---------------:|:----------:|:-------------:|:-----:| | 4.4659 | 4.4875 | 0.0102 | 99.2093 | 0 | | 4.2023 | 4.4382 | 0.0588 | 34.8372 | 1 | | 4.0009 | 4.4255 | 0.0568 | 34.5116 | 2 | | 3.8234 | 4.4239 | 0.0641 | 33.3488 | 3 | | 3.6747 | 4.4216 | 0.0097 | 100.1395 | 4 | ### Framework versions - Transformers 4.41.1 - TensorFlow 2.15.0 - Datasets 2.19.1 - Tokenizers 0.19.1