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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: LucaReggiani/t5-small-nlpfinalprojectFinal-xsum |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# LucaReggiani/t5-small-nlpfinalprojectFinal-xsum |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 3.2016 |
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- Validation Loss: 3.0312 |
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- Train Rouge1: 0.2288 |
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- Train Rouge2: 0.0492 |
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- Train Rougel: 0.1822 |
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- Train Rougelsum: 0.1820 |
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- Train Gen Len: 18.54 |
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- Epoch: 6 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.1} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
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| 3.8756 | 3.3188 | 0.2061 | 0.0431 | 0.1546 | 0.1552 | 18.73 | 0 | |
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| 3.5085 | 3.1797 | 0.2136 | 0.0476 | 0.1684 | 0.1689 | 18.15 | 1 | |
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| 3.3992 | 3.1213 | 0.2087 | 0.0436 | 0.1704 | 0.1708 | 18.15 | 2 | |
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| 3.3368 | 3.0864 | 0.2237 | 0.0497 | 0.1762 | 0.1767 | 18.45 | 3 | |
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| 3.2760 | 3.0625 | 0.2301 | 0.0509 | 0.1794 | 0.1794 | 18.48 | 4 | |
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| 3.2278 | 3.0434 | 0.2254 | 0.0476 | 0.1814 | 0.1816 | 18.39 | 5 | |
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| 3.2016 | 3.0312 | 0.2288 | 0.0492 | 0.1822 | 0.1820 | 18.54 | 6 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- TensorFlow 2.11.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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