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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_2-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_2-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: 3.1437 |
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- Validation Loss: 3.0238 |
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- Train Rouge1: 0.2336 |
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- Train Rouge2: 0.0519 |
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- Train Rougel: 0.1789 |
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- Train Rougelsum: 0.1789 |
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- Train Gen Len: 18.45 |
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- Epoch: 7 |
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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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| 3.8777 | 3.3196 | 0.2048 | 0.0442 | 0.1547 | 0.1560 | 18.75 | 0 | |
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| 3.5167 | 3.1758 | 0.2102 | 0.0457 | 0.1670 | 0.1676 | 18.24 | 1 | |
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| 3.3968 | 3.1202 | 0.2077 | 0.0439 | 0.1680 | 0.1681 | 18.11 | 2 | |
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| 3.3297 | 3.0883 | 0.2135 | 0.0444 | 0.1710 | 0.1710 | 18.52 | 3 | |
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| 3.2789 | 3.0664 | 0.2274 | 0.0500 | 0.1792 | 0.1788 | 18.44 | 4 | |
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| 3.2279 | 3.0473 | 0.2283 | 0.0510 | 0.1786 | 0.1787 | 18.34 | 5 | |
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| 3.1857 | 3.0342 | 0.2327 | 0.0534 | 0.1816 | 0.1817 | 18.42 | 6 | |
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| 3.1437 | 3.0238 | 0.2336 | 0.0519 | 0.1789 | 0.1789 | 18.45 | 7 | |
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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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