| license: apache-2.0 | |
| tags: | |
| - generated_from_keras_callback | |
| model-index: | |
| - name: my_Med | |
| 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. --> | |
| # my_Med | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Train Loss: 1.5902 | |
| - Validation Loss: 1.3655 | |
| - 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 | | |
| |:----------:|:---------------:|:-----:| | |
| | 2.8689 | 2.0671 | 0 | | |
| | 2.2250 | 1.8456 | 1 | | |
| | 2.0132 | 1.7104 | 2 | | |
| | 1.9079 | 1.6828 | 3 | | |
| | 1.8237 | 1.5935 | 4 | | |
| | 1.7651 | 1.5240 | 5 | | |
| | 1.7246 | 1.4930 | 6 | | |
| | 1.6565 | 1.4191 | 7 | | |
| | 1.6166 | 1.3944 | 8 | | |
| | 1.5902 | 1.3655 | 9 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - TensorFlow 2.9.2 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |