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---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-combined
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-large-combined
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1837
- Rouge1: 40.9079
- Rouge2: 15.6807
- Rougel: 27.7883
- Rougelsum: 37.5415
- Gen Len: 95.0854
## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.2593 | 1.0 | 5435 | 2.2562 | 39.8535 | 14.987 | 26.8435 | 36.4216 | 96.1483 |
| 1.8173 | 2.0 | 10870 | 2.1837 | 40.9079 | 15.6807 | 27.7883 | 37.5415 | 95.0854 |
| 1.4421 | 3.0 | 16305 | 2.2059 | 41.3435 | 15.9165 | 28.0347 | 37.9954 | 96.1373 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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