| license: mit | |
| tags: | |
| - generated_from_keras_callback | |
| base_model: raygx/GNePT | |
| model-index: | |
| - name: GNePT-NepSA | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should | |
| probably proofread and complete it, then remove this comment. --> | |
| # GNePT-NepSA | |
| This model is a fine-tuned version of [raygx/GNePT](https://huggingface.co/raygx/GNePT) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Train Loss: 0.4830 | |
| - Validation Loss: 0.6690 | |
| - Epoch: 0 | |
| ## 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-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.03} | |
| - training_precision: float32 | |
| ### Training results | |
| | Train Loss | Validation Loss | Epoch | | |
| |:----------:|:---------------:|:-----:| | |
| | 0.4830 | 0.6690 | 0 | | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - TensorFlow 2.11.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.13.3 | |