| | --- |
| | license: apache-2.0 |
| | base_model: t5-base |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: Alex034/t5-base-finetuned-summary |
| | 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. --> |
| |
|
| | # Alex034/t5-base-finetuned-summary |
| |
|
| | 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: 1.0271 |
| | - Validation Loss: 1.0757 |
| | - Train Rouge1: 19.0533 |
| | - Train Rouge2: 11.1741 |
| | - Train Rougel: 17.8728 |
| | - Train Rougelsum: 18.4536 |
| | - Train Gen Len: 19.0 |
| | - Epoch: 8 |
| |
|
| | ## 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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |
| | |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
| | | 1.3902 | 1.2441 | 18.3117 | 10.6041 | 17.2628 | 17.7391 | 19.0 | 0 | |
| | | 1.2550 | 1.1977 | 18.3266 | 10.5940 | 17.2537 | 17.7704 | 19.0 | 1 | |
| | | 1.2009 | 1.1616 | 18.4395 | 10.6141 | 17.2987 | 17.8340 | 19.0 | 2 | |
| | | 1.1585 | 1.1391 | 18.6576 | 10.9045 | 17.5763 | 18.0749 | 19.0 | 3 | |
| | | 1.1260 | 1.1230 | 18.8069 | 11.0361 | 17.7010 | 18.2123 | 19.0 | 4 | |
| | | 1.0944 | 1.1077 | 18.7422 | 10.9589 | 17.6239 | 18.1584 | 19.0 | 5 | |
| | | 1.0703 | 1.1010 | 18.8101 | 10.9865 | 17.6687 | 18.2161 | 19.0 | 6 | |
| | | 1.0486 | 1.0833 | 19.1833 | 11.2929 | 18.0132 | 18.5919 | 19.0 | 7 | |
| | | 1.0271 | 1.0757 | 19.0533 | 11.1741 | 17.8728 | 18.4536 | 19.0 | 8 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.0 |
| | - TensorFlow 2.13.0 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.14.1 |
| |
|
