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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-nlpfinalproject4-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-nlpfinalproject4-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: 3.0688 |
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- Validation Loss: 2.9609 |
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- Train Rouge1: 22.9985 |
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- Train Rouge2: 5.0413 |
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- Train Rougel: 18.1856 |
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- Train Rougelsum: 18.0816 |
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- Train Gen Len: 18.67 |
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- Epoch: 8 |
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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': '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': 5e-05, 'beta_1': 0.9, 'beta_2': 0.98, 'epsilon': 1e-06, 'amsgrad': False} |
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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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| 3.8921 | 3.2708 | 18.8870 | 3.0920 | 14.9668 | 14.9517 | 18.67 | 0 | |
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| 3.5034 | 3.1209 | 21.5417 | 3.8130 | 16.5211 | 16.5045 | 18.37 | 1 | |
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| 3.3763 | 3.0605 | 21.0710 | 3.6133 | 15.7808 | 15.7437 | 18.33 | 2 | |
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| 3.2971 | 3.0305 | 21.6173 | 4.0001 | 16.2502 | 16.2302 | 18.5 | 3 | |
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| 3.2452 | 3.0086 | 22.8085 | 4.9522 | 17.8831 | 17.7797 | 18.6 | 4 | |
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| 3.1899 | 2.9920 | 22.7903 | 5.3026 | 17.8844 | 17.8651 | 18.58 | 5 | |
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| 3.1514 | 2.9775 | 23.0533 | 5.3456 | 18.4312 | 18.3636 | 18.52 | 6 | |
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| 3.1050 | 2.9686 | 23.0767 | 5.1264 | 18.4552 | 18.3503 | 18.54 | 7 | |
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| 3.0688 | 2.9609 | 22.9985 | 5.0413 | 18.1856 | 18.0816 | 18.67 | 8 | |
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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 2.9.0 |
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- Tokenizers 0.13.2 |
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