---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-podimo-data-eval-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbart-podimo-data-eval-2

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: 3.5823
- Rouge1: 34.3971
- Rouge2: 7.95
- Rougel: 18.7271
- Rougelsum: 30.9024
- Gen Len: 131.919

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
| 4.1512        | 0.98  | 44   | 3.7806          | 32.727  | 6.5788 | 17.5196 | 29.3777   | 137.2905 |
| 3.6342        | 1.98  | 88   | 3.6421          | 32.709  | 6.7877 | 17.8668 | 29.4636   | 134.6648 |
| 3.3512        | 2.98  | 132  | 3.5819          | 33.5128 | 7.519  | 18.6614 | 30.1142   | 132.2961 |
| 3.141         | 3.98  | 176  | 3.5552          | 33.4795 | 7.3242 | 18.396  | 30.0854   | 132.757  |
| 2.9787        | 4.98  | 220  | 3.5583          | 33.5862 | 7.391  | 18.3568 | 30.2461   | 132.4078 |
| 2.8555        | 5.98  | 264  | 3.5650          | 34.1111 | 7.8008 | 18.7159 | 30.6055   | 131.3603 |
| 2.7648        | 6.98  | 308  | 3.5729          | 34.0981 | 7.6556 | 18.6373 | 30.6269   | 131.2821 |
| 2.6645        | 7.98  | 352  | 3.5823          | 34.3971 | 7.95   | 18.7271 | 30.9024   | 131.919  |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.11.0
- Datasets 2.2.1
- Tokenizers 0.12.1