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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-nlpfinalproject3-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-nlpfinalproject3-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: 2.9916 |
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- Validation Loss: 2.9840 |
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- Train Rouge1: 22.3282 |
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- Train Rouge2: 4.7253 |
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- Train Rougel: 17.9286 |
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- Train Rougelsum: 17.9126 |
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- Train Gen Len: 18.54 |
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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': '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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| 3.7453 | 3.2008 | 19.6619 | 3.4413 | 15.6174 | 15.6444 | 18.23 | 0 | |
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| 3.3973 | 3.1041 | 21.1867 | 4.1818 | 16.5584 | 16.4568 | 18.59 | 1 | |
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| 3.2886 | 3.0600 | 21.8364 | 4.3416 | 16.6696 | 16.6382 | 18.5 | 2 | |
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| 3.2216 | 3.0323 | 23.5970 | 5.3080 | 18.4737 | 18.3755 | 18.49 | 3 | |
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| 3.1462 | 3.0174 | 23.0720 | 5.3486 | 18.5011 | 18.4635 | 18.62 | 4 | |
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| 3.0860 | 3.0017 | 22.3949 | 4.7088 | 17.7759 | 17.7328 | 18.51 | 5 | |
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| 3.0436 | 2.9890 | 22.8096 | 4.9911 | 18.1200 | 18.0347 | 18.47 | 6 | |
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| 2.9916 | 2.9840 | 22.3282 | 4.7253 | 17.9286 | 17.9126 | 18.54 | 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 2.9.0 |
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- Tokenizers 0.13.2 |
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