---
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