---
license: apache-2.0
base_model: sshleifer/distilbart-cnn-12-6
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-12-6-cnn-dm-abstractive-summarizer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbart-12-6-cnn-dm-abstractive-summarizer

This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6988
- Rouge1: 0.42
- Rouge2: 0.2006
- Rougel: 0.3032
- Rougelsum: 0.3033
- Generated Length: 72.6006

## 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: 8
- eval_batch_size: 8
- 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 | Generated Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
| 1.1498        | 1.0   | 1436 | 1.5556          | 0.4009 | 0.1815 | 0.2843 | 0.2843    | 72.1027          |
| 1.1051        | 2.0   | 2872 | 1.5456          | 0.4127 | 0.191  | 0.2941 | 0.2942    | 71.2483          |
| 0.892         | 3.0   | 4308 | 1.5954          | 0.4129 | 0.1924 | 0.2946 | 0.2947    | 72.453           |
| 0.7543        | 4.0   | 5744 | 1.6574          | 0.4177 | 0.1974 | 0.3018 | 0.3017    | 71.8179          |
| 0.651         | 5.0   | 7180 | 1.6988          | 0.42   | 0.2006 | 0.3032 | 0.3033    | 72.6006          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2