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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-nlpfinalproject100-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-nlpfinalproject100-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: 3.3675 |
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- Validation Loss: 3.0731 |
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- Train Rouge1: 21.6320 |
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- Train Rouge2: 4.1815 |
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- Train Rougel: 16.7880 |
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- Train Rougelsum: 16.8075 |
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- Train Gen Len: 18.26 |
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- Epoch: 4 |
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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': 3e-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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| 4.0261 | 3.4861 | 17.2949 | 2.5214 | 13.5817 | 13.5711 | 19.0 | 0 | |
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| 3.6457 | 3.2367 | 19.3042 | 3.2474 | 15.8225 | 15.8589 | 18.65 | 1 | |
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| 3.4972 | 3.1544 | 20.2614 | 3.5380 | 15.8853 | 15.8671 | 18.37 | 2 | |
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| 3.4228 | 3.1064 | 21.7547 | 4.0283 | 16.4961 | 16.4831 | 18.41 | 3 | |
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| 3.3675 | 3.0731 | 21.6320 | 4.1815 | 16.7880 | 16.8075 | 18.26 | 4 | |
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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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