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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-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. -->
# bart-base-finetuned-xsum
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7802
- Rouge1: 10.2143
- Rouge2: 5.6684
- Rougel: 8.8677
- Rougelsum: 9.8692
- Gen Len: 20.0
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| 3.1154 | 1.0 | 501 | 2.1511 | 10.4214 | 5.0073 | 8.8506 | 9.9896 | 19.982 |
| 2.1503 | 2.0 | 1002 | 1.9367 | 10.2207 | 5.631 | 8.9531 | 9.9404 | 20.0 |
| 1.9303 | 3.0 | 1503 | 1.8703 | 10.4496 | 5.8424 | 9.1 | 10.1692 | 20.0 |
| 1.8227 | 4.0 | 2004 | 1.8365 | 10.3195 | 5.6383 | 8.9427 | 10.0217 | 20.0 |
| 1.7561 | 5.0 | 2505 | 1.8137 | 10.3644 | 5.7409 | 8.9742 | 10.0328 | 20.0 |
| 1.6962 | 6.0 | 3006 | 1.7963 | 10.307 | 5.7619 | 8.9713 | 10.0001 | 20.0 |
| 1.6573 | 7.0 | 3507 | 1.7906 | 10.2633 | 5.6772 | 8.9086 | 9.9373 | 20.0 |
| 1.6357 | 8.0 | 4008 | 1.7808 | 10.3619 | 5.7546 | 9.0124 | 10.02 | 20.0 |
| 1.6269 | 9.0 | 4509 | 1.7808 | 10.2688 | 5.6934 | 8.934 | 9.9284 | 20.0 |
| 1.6031 | 10.0 | 5010 | 1.7802 | 10.2143 | 5.6684 | 8.8677 | 9.8692 | 20.0 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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