| --- |
| license: apache-2.0 |
| base_model: google-t5/t5-small |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: Lightscale/aap_summarization_model_3 |
| 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. --> |
|
|
| # Lightscale/aap_summarization_model_3 |
| |
| This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 3.5410 |
| - Validation Loss: 2.6951 |
| - Train Rouge1: 0.1943 |
| - Train Rouge2: 0.0749 |
| - Train Rougel: 0.1532 |
| - Train Rougelsum: 0.1527 |
| - Train Gen Len: 19.0 |
| - Epoch: 4 |
| |
| ## 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 | |
| |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
| | 4.4213 | 3.7473 | 0.1974 | 0.0822 | 0.1557 | 0.1557 | 19.0 | 0 | |
| | 4.2189 | 3.4754 | 0.1988 | 0.0822 | 0.158 | 0.1579 | 19.0 | 1 | |
| | 3.9742 | 3.1733 | 0.1988 | 0.0822 | 0.158 | 0.1579 | 19.0 | 2 | |
| | 3.8071 | 2.9327 | 0.1916 | 0.0735 | 0.1506 | 0.1501 | 19.0 | 3 | |
| | 3.5410 | 2.6951 | 0.1943 | 0.0749 | 0.1532 | 0.1527 | 19.0 | 4 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.4 |
| - TensorFlow 2.17.0 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
| |
