--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-en-ml tags: - generated_from_keras_callback model-index: - name: Arunjith/susanna-en-ml-translation-model results: [] --- # Arunjith/susanna-en-ml-translation-model This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ml](https://huggingface.co/Helsinki-NLP/opus-mt-en-ml) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.0113 - Validation Loss: 0.1623 - Epoch: 9 ## 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 | Epoch | |:----------:|:---------------:|:-----:| | 0.0354 | 0.1432 | 0 | | 0.0310 | 0.1451 | 1 | | 0.0266 | 0.1539 | 2 | | 0.0220 | 0.1531 | 3 | | 0.0195 | 0.1490 | 4 | | 0.0190 | 0.1611 | 5 | | 0.0169 | 0.1546 | 6 | | 0.0132 | 0.1596 | 7 | | 0.0132 | 0.1618 | 8 | | 0.0113 | 0.1623 | 9 | ### Framework versions - Transformers 4.41.2 - TensorFlow 2.15.0 - Datasets 2.20.0 - Tokenizers 0.19.1