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---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-aps-fineTuned
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-cnn-aps-fineTuned
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0208
## 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 6 | 0.1899 |
| 1.3242 | 2.0 | 12 | 0.0825 |
| 1.3242 | 3.0 | 18 | 0.0546 |
| 0.069 | 4.0 | 24 | 0.0347 |
| 0.0352 | 5.0 | 30 | 0.0277 |
| 0.0352 | 6.0 | 36 | 0.0242 |
| 0.0253 | 7.0 | 42 | 0.0217 |
| 0.0253 | 8.0 | 48 | 0.0210 |
| 0.0216 | 9.0 | 54 | 0.0208 |
| 0.0201 | 10.0 | 60 | 0.0208 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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