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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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- summarization |
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model-index: |
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- name: cv_summarization-distilbart-cnn-16-6 |
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results: [] |
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language: |
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- en |
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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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# cv_summarization-distilbart-cnn-16-6 |
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This model is a fine-tuned version of [philschmid/tf-distilbart-cnn-12-6](https://huggingface.co/philschmid/tf-distilbart-cnn-12-6) on [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1445 |
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- Validation Loss: 0.4524 |
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- Epoch: 4 |
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- Rouge1: 76.90 |
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- Rouge2: 73.30 |
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- RougeL: 76.04 |
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- RougeLsum: 75.87 |
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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', 'learning_rate': 2e-05} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.7265 | 0.4665 | 0 | |
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| 0.3192 | 0.4480 | 1 | |
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| 0.2154 | 0.4395 | 2 | |
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| 0.1587 | 0.4668 | 3 | |
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| 0.1445 | 0.4524 | 4 | |
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### Framework versions |
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- Transformers 4.30.1 |
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- TensorFlow 2.12.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
