pytorch tensorboard bart text2text-generation transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-12-6-finetuned-roundup-4-8
  results: []
---

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# distilbart-cnn-12-6-finetuned-roundup-4-8

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: 0.8447
- Rouge1: 54.3326
- Rouge2: 36.1031
- Rougel: 38.842
- Rougelsum: 51.7632
- Gen Len: 142.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| No log        | 1.0   | 398  | 1.1572          | 51.6618 | 32.7542 | 34.8631 | 49.2691   | 141.3333 |
| 1.405         | 2.0   | 796  | 1.0039          | 52.2029 | 32.6704 | 34.4948 | 50.1141   | 142.0    |
| 0.9039        | 3.0   | 1194 | 0.9300          | 53.2839 | 34.3928 | 36.8971 | 51.1148   | 142.0    |
| 0.6705        | 4.0   | 1592 | 0.8708          | 52.5229 | 33.8116 | 36.9664 | 50.0067   | 142.0    |
| 0.6705        | 5.0   | 1990 | 0.8508          | 53.4468 | 35.1394 | 38.4144 | 50.794    | 142.0    |
| 0.5205        | 6.0   | 2388 | 0.8347          | 53.8859 | 35.1182 | 38.1126 | 51.3089   | 142.0    |
| 0.3898        | 7.0   | 2786 | 0.8406          | 54.2293 | 36.1189 | 38.7127 | 51.6878   | 142.0    |
| 0.3468        | 8.0   | 3184 | 0.8447          | 54.3326 | 36.1031 | 38.842  | 51.7632   | 142.0    |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
