---
license: apache-2.0
base_model: sshleifer/distilbart-xsum-12-3
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-xsum-12-3-finetuned-xsum
  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-xsum-12-3-finetuned-xsum

This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5886
- Rouge1: 26.2164
- Rouge2: 8.042
- Rougel: 17.5545
- Rougelsum: 21.4745
- Gen Len: 62.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.295         | 1.0   | 1041 | 3.0302          | 26.1938 | 8.0525 | 17.4251 | 21.3971   | 61.7637 |
| 2.9061        | 2.0   | 2082 | 2.7844          | 26.3284 | 7.8489 | 17.3299 | 21.487    | 61.951  |
| 2.7181        | 3.0   | 3123 | 2.6605          | 25.3295 | 7.5429 | 16.8791 | 21.0243   | 62.0    |
| 2.5903        | 4.0   | 4164 | 2.6097          | 25.5526 | 7.6456 | 17.1916 | 21.0674   | 61.9885 |
| 2.5327        | 5.0   | 5205 | 2.5886          | 26.2164 | 8.042  | 17.5545 | 21.4745   | 62.0    |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2