---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-ingredients-extract
  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. -->

# bart-ingredients-extract

This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3434
- Rouge1: 44.3464
- Rouge2: 25.67
- Rougel: 44.3032
- Rougelsum: 44.3007
- Gen Len: 16.2697

## 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.7151        | 1.0   | 1552 | 0.5275          | 53.7819 | 31.247  | 53.7202 | 53.7078   | 12.9069 |
| 0.5151        | 2.0   | 3104 | 0.4429          | 49.9951 | 28.9098 | 49.9357 | 49.9016   | 13.4797 |
| 0.4237        | 3.0   | 4656 | 0.3622          | 52.4925 | 31.4498 | 52.4645 | 52.4606   | 13.5396 |
| 0.3644        | 4.0   | 6208 | 0.3434          | 44.3464 | 25.67   | 44.3032 | 44.3007   | 16.2697 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3