---
license: apache-2.0
base_model: sshleifer/distilbart-cnn-6-6
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: plain-bart-on-presummarized-tod-wcep
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# plain-bart-on-presummarized-tod-wcep

This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2150
- Rouge1: 35.4845
- Rouge2: 14.545
- Rougel: 25.1521
- Rougelsum: 28.4694
- Gen Len: 66.9706

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.3633        | 1.0   | 510  | 2.2258          | 35.4081 | 14.4502 | 25.1166 | 28.6468   | 67.0647 |
| 2.0256        | 2.0   | 1020 | 2.2038          | 35.2939 | 14.3387 | 25.0236 | 28.3714   | 66.8451 |
| 1.8506        | 3.0   | 1530 | 2.2150          | 35.4845 | 14.545  | 25.1521 | 28.4694   | 66.9706 |


### Framework versions

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