---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-podimo-data-eval-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbart-podimo-data-eval-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: 3.3983
- Rouge1: 34.6132
- Rouge2: 7.9113
- Rougel: 17.9418
- Rougelsum: 31.5251
- Gen Len: 141.5587

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
| 4.1934        | 0.98  | 44   | 3.7592          | 32.8148 | 6.457  | 16.8696 | 29.6986   | 141.4441 |
| 3.6362        | 1.98  | 88   | 3.5809          | 33.0442 | 6.851  | 17.1323 | 30.1382   | 141.324  |
| 3.3554        | 2.98  | 132  | 3.4835          | 33.66   | 7.1375 | 17.5152 | 30.5783   | 141.2793 |
| 3.1566        | 3.98  | 176  | 3.4301          | 34.524  | 7.757  | 17.995  | 31.5808   | 141.7151 |
| 3.0107        | 4.98  | 220  | 3.4099          | 34.3459 | 7.7512 | 18.0605 | 31.4531   | 141.4106 |
| 2.901         | 5.98  | 264  | 3.4073          | 35.028  | 7.9099 | 17.9907 | 31.8304   | 141.5419 |
| 2.8246        | 6.98  | 308  | 3.3983          | 34.1937 | 7.8606 | 17.7858 | 31.1331   | 141.5279 |
| 2.7306        | 7.98  | 352  | 3.3983          | 34.6132 | 7.9113 | 17.9418 | 31.5251   | 141.5587 |


### Framework versions

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