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---
license: apache-2.0
tags:
- generated_from_keras_callback
- summarization
model-index:
- name: cv_summarization-distilbart-cnn-16-6
results: []
language:
- en
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# cv_summarization-distilbart-cnn-16-6
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.
It achieves the following results on the evaluation set:
- Train Loss: 0.1445
- Validation Loss: 0.4524
- Epoch: 4
- Rouge1: 76.90
- Rouge2: 73.30
- RougeL: 76.04
- RougeLsum: 75.87
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 2e-05}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.7265 | 0.4665 | 0 |
| 0.3192 | 0.4480 | 1 |
| 0.2154 | 0.4395 | 2 |
| 0.1587 | 0.4668 | 3 |
| 0.1445 | 0.4524 | 4 |
### Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3 |