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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-nlpfinalproject77-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-nlpfinalproject77-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: 4.5603 |
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- Validation Loss: 4.3567 |
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- Train Rouge1: 13.1331 |
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- Train Rouge2: 1.6382 |
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- Train Rougel: 11.1522 |
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- Train Rougelsum: 11.1925 |
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- Train Gen Len: 18.61 |
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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': 'SGD', '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': 0.01, 'momentum': 0.9, 'nesterov': 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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| 3.7711 | 3.2050 | 21.4378 | 3.8309 | 16.8638 | 16.8461 | 17.91 | 0 | |
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| 3.6104 | 3.6987 | 19.2609 | 3.2385 | 15.7661 | 15.7653 | 18.53 | 1 | |
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| 4.0072 | 3.5355 | 18.1665 | 3.2252 | 14.8050 | 14.7179 | 17.72 | 2 | |
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| 3.7558 | 3.3357 | 20.2834 | 3.3265 | 15.8726 | 15.8640 | 18.41 | 3 | |
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| 3.5929 | 3.2442 | 21.7618 | 4.0454 | 16.9764 | 16.9738 | 18.32 | 4 | |
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| 4.2933 | 4.5266 | 11.2148 | 0.9346 | 9.6743 | 9.6997 | 18.14 | 5 | |
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| 4.6557 | 4.4097 | 10.1267 | 0.9146 | 9.0568 | 9.0328 | 18.95 | 6 | |
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| 4.5603 | 4.3567 | 13.1331 | 1.6382 | 11.1522 | 11.1925 | 18.61 | 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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