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# 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
{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_keras_callback", "summarization"], "model-index": [{"name": "cv_summarization-distilbart-cnn-16-6", "results": []}]}
transformers tf bart text2text-generation generated_from_keras_callback summarization en license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #bart #text2text-generation #generated_from_keras_callback #summarization #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

cv\_summarization-distilbart-cnn-16-6
=====================================


This model is a fine-tuned version of philschmid/tf-distilbart-cnn-12-6 on 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



### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 2e-05}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #tf #bart #text2text-generation #generated_from_keras_callback #summarization #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 2e-05}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3