---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-podimo-data-eval-3
  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-3

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: 3.3828
- Rouge1: 32.8203
- Rouge2: 7.8994
- Rougel: 18.9659
- Rougelsum: 29.4196
- Gen Len: 114.5264

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
| 3.9049        | 1.0   | 132  | 3.5343          | 30.2542 | 6.031  | 17.269  | 26.9847   | 113.7689 |
| 3.4248        | 2.0   | 264  | 3.4055          | 31.6518 | 7.2786 | 18.2641 | 28.4006   | 114.6547 |
| 3.1594        | 3.0   | 396  | 3.3579          | 32.0442 | 7.3554 | 18.3492 | 28.7615   | 113.7443 |
| 2.9645        | 4.0   | 528  | 3.3445          | 32.0945 | 7.637  | 18.6289 | 28.899    | 115.5321 |
| 2.8073        | 5.0   | 660  | 3.3470          | 32.7852 | 7.9597 | 19.2358 | 29.5057   | 108.3519 |
| 2.685         | 6.0   | 792  | 3.3532          | 32.3775 | 7.661  | 18.6719 | 28.9282   | 117.1104 |
| 2.5941        | 7.0   | 924  | 3.3711          | 32.6976 | 7.8917 | 19.069  | 29.3785   | 113.1943 |
| 2.5267        | 8.0   | 1056 | 3.3828          | 32.8203 | 7.8994 | 18.9659 | 29.4196   | 114.5264 |


### Framework versions

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