| license: apache-2.0 | |
| base_model: t5-base | |
| tags: | |
| - generated_from_keras_callback | |
| model-index: | |
| - name: sum_model | |
| 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. --> | |
| # sum_model | |
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Train Loss: 0.7877 | |
| - Validation Loss: 0.5301 | |
| - Epoch: 3 | |
| ## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} | |
| - training_precision: float32 | |
| ### Training results | |
| | Train Loss | Validation Loss | Epoch | | |
| |:----------:|:---------------:|:-----:| | |
| | 1.2568 | 0.8907 | 0 | | |
| | 1.0182 | 0.7418 | 1 | | |
| | 0.8905 | 0.6272 | 2 | | |
| | 0.7877 | 0.5301 | 3 | | |
| ### Framework versions | |
| - Transformers 4.32.1 | |
| - TensorFlow 2.13.0 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.12.1 | |