---
license: apache-2.0
base_model: sshleifer/distilbart-cnn-6-6
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: nor-sum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# nor-sum

This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1812
- Rouge1: 0.2552
- Rouge2: 0.0679
- Rougel: 0.1884
- Rougelsum: 0.1886
- Gen Len: 65.3086

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.6231        | 1.0   | 3188  | 2.4652          | 0.2359 | 0.0563 | 0.1732 | 0.1733    | 66.1928 |
| 2.3062        | 2.0   | 6377  | 2.2798          | 0.2524 | 0.0653 | 0.1864 | 0.1864    | 66.3107 |
| 2.0817        | 3.0   | 9565  | 2.1973          | 0.2529 | 0.0675 | 0.189  | 0.1893    | 65.077  |
| 1.9776        | 4.0   | 12752 | 2.1812          | 0.2552 | 0.0679 | 0.1884 | 0.1886    | 65.3086 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3