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

# results

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: 2.6835
- Rouge1: 38.8257
- Rouge2: 10.9645
- Rougel: 19.5312
- Rougelsum: 33.4613
- Gen Len: 275.0

## 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: 0.00034
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- label_smoothing_factor: 0.04

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 3.2378        | 1.0   | 500  | 3.1436          | 25.8277 | 5.2374  | 13.1124 | 24.06     | 299.0   |
| 2.804         | 2.0   | 1000 | 2.7802          | 32.9123 | 6.3884  | 16.0251 | 29.3143   | 241.0   |
| 2.5568        | 3.0   | 1500 | 2.6835          | 38.8257 | 10.9645 | 19.5312 | 33.4613   | 275.0   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2