---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
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: 0.1308
- Rouge1: 71.046
- Rouge2: 59.5936
- Rougel: 66.5089
- Rougelsum: 69.5863
- Gen Len: 120.08

## 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   | 0.4590          | 49.5947 | 32.0274 | 39.973  | 47.0858   | 124.54  |
| No log        | 2.0   | 198  | 0.2493          | 53.1348 | 36.2418 | 43.9192 | 50.68     | 120.1   |
| No log        | 3.0   | 297  | 0.1645          | 63.4779 | 49.8803 | 57.8773 | 62.0455   | 116.12  |
| No log        | 4.0   | 396  | 0.1344          | 68.4348 | 55.6375 | 63.3955 | 66.2623   | 124.84  |
| No log        | 5.0   | 495  | 0.1308          | 71.046  | 59.5936 | 66.5089 | 69.5863   | 120.08  |


### Framework versions

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