| license: apache-2.0 | |
| tags: | |
| - generated_from_keras_callback | |
| base_model: t5-small | |
| model-index: | |
| - name: nhankins/legal_data_summarizer-finetuned-legal | |
| 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. --> | |
| # nhankins/legal_data_summarizer-finetuned-legal | |
| 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: 1.9404 | |
| - Epoch: 7 | |
| ## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 248, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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: mixed_float16 | |
| ### Training results | |
| | Train Loss | Epoch | | |
| |:----------:|:-----:| | |
| | 5.3151 | 0 | | |
| | 3.5925 | 1 | | |
| | 2.7920 | 2 | | |
| | 2.4254 | 3 | | |
| | 2.2006 | 4 | | |
| | 2.0480 | 5 | | |
| | 1.9387 | 6 | | |
| | 1.9404 | 7 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - TensorFlow 2.12.0 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |