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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-nlpfinalproject2-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-nlpfinalproject2-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: 3.1399 |
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- Validation Loss: 3.0183 |
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- Train Rouge1: 23.2180 |
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- Train Rouge2: 5.1740 |
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- Train Rougel: 18.3975 |
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- Train Rougelsum: 18.4246 |
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- Train Gen Len: 18.5 |
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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': 3e-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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| 3.8670 | 3.3126 | 18.0994 | 2.9443 | 14.8574 | 14.8089 | 18.69 | 0 | |
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| 3.5043 | 3.1732 | 20.2677 | 3.9191 | 15.8137 | 15.8748 | 18.53 | 1 | |
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| 3.4010 | 3.1149 | 21.9985 | 4.4897 | 16.7720 | 16.8119 | 18.36 | 2 | |
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| 3.3235 | 3.0830 | 20.6948 | 3.9055 | 15.9707 | 15.9961 | 18.49 | 3 | |
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| 3.2700 | 3.0611 | 21.2726 | 3.8497 | 16.5193 | 16.5449 | 18.64 | 4 | |
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| 3.2309 | 3.0456 | 22.2643 | 4.5285 | 17.6124 | 17.6095 | 18.53 | 5 | |
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| 3.1842 | 3.0302 | 22.3951 | 4.7814 | 18.0792 | 18.0771 | 18.4 | 6 | |
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| 3.1399 | 3.0183 | 23.2180 | 5.1740 | 18.3975 | 18.4246 | 18.5 | 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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