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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-nlpfinalproject11-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-nlpfinalproject11-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: 3.1319 |
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- Validation Loss: 3.0594 |
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- Train Rouge1: 22.8208 |
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- Train Rouge2: 5.2987 |
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- Train Rougel: 18.5401 |
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- Train Rougelsum: 18.5836 |
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- Train Gen Len: 18.56 |
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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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001} |
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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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| 3.9188 | 3.3668 | 17.8424 | 2.8848 | 14.3980 | 14.5050 | 18.68 | 0 | |
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| 3.5063 | 3.2153 | 21.0986 | 4.0935 | 16.5510 | 16.5097 | 18.47 | 1 | |
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| 3.3880 | 3.1603 | 20.8573 | 4.1833 | 16.0084 | 15.9659 | 18.35 | 2 | |
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| 3.3316 | 3.1250 | 20.9563 | 3.7170 | 15.9813 | 16.0007 | 18.5 | 3 | |
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| 3.2669 | 3.1022 | 21.2349 | 4.1598 | 16.4493 | 16.4961 | 18.7 | 4 | |
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| 3.2154 | 3.0849 | 22.4905 | 4.9861 | 17.5689 | 17.5992 | 18.62 | 5 | |
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| 3.1727 | 3.0708 | 23.4926 | 5.5226 | 18.4502 | 18.4874 | 18.58 | 6 | |
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| 3.1319 | 3.0594 | 22.8208 | 5.2987 | 18.5401 | 18.5836 | 18.56 | 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 2.10.0 |
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- Tokenizers 0.13.2 |
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