---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-12-6-finetuned-1.1.1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbart-cnn-12-6-finetuned-1.1.1

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: 0.1031
- Rouge1: 80.2783
- Rouge2: 76.9012
- Rougel: 79.1544
- Rougelsum: 79.3582

## 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: 5e-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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.1389        | 1.0   | 1161 | 0.1130          | 79.3969 | 75.5992 | 78.117  | 78.3237   |
| 0.0881        | 2.0   | 2322 | 0.1031          | 80.2783 | 76.9012 | 79.1544 | 79.3582   |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1