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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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