transformers pytorch tensorboard bart text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: distilbart-cnn-12-6-summarization_final_labeled_data
  results: []
---

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# distilbart-cnn-12-6-summarization_final_labeled_data

This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1332
- Rouge1: 68.938
- Rouge2: 57.0751
- Rougel: 63.1918
- Rougelsum: 67.2288
- Gen Len: 119.76

## 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:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 99   | 0.4444          | 54.7967 | 41.6412 | 48.0493 | 53.3043   | 118.1   |
| No log        | 2.0   | 198  | 0.2934          | 60.514  | 46.8988 | 53.0023 | 58.9903   | 114.62  |
| No log        | 3.0   | 297  | 0.1886          | 69.1369 | 57.4931 | 64.4281 | 67.5744   | 121.52  |
| No log        | 4.0   | 396  | 0.1482          | 67.7496 | 55.4617 | 62.6617 | 66.1207   | 117.74  |
| No log        | 5.0   | 495  | 0.1332          | 68.938  | 57.0751 | 63.1918 | 67.2288   | 119.76  |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
