--- library_name: transformers license: apache-2.0 base_model: Helsinki-NLP/opus-mt-en-hi tags: - generated_from_keras_callback model-index: - name: iaryanraj/Helsinki-munna2-finetuned-translation-english-to-hindi results: [] --- # iaryanraj/Helsinki-munna2-finetuned-translation-english-to-hindi This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 4.5786 - Validation Loss: 4.4384 - 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10, '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 | |:----------:|:---------------:|:-----:| | 4.5787 | 4.4384 | 0 | | 4.5768 | 4.4384 | 1 | | 4.5786 | 4.4384 | 2 | | 4.5786 | 4.4384 | 3 | | 4.5771 | 4.4384 | 4 | | 4.5773 | 4.4384 | 5 | | 4.5769 | 4.4384 | 6 | | 4.5786 | 4.4384 | 7 | | 4.5779 | 4.4384 | 8 | | 4.5786 | 4.4384 | 9 | ### Framework versions - Transformers 4.46.3 - TensorFlow 2.16.1 - Datasets 3.0.1 - Tokenizers 0.20.0