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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: 0.2055
## 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 | 3 | 1.3814 |
| No log | 2.0 | 6 | 0.5729 |
| No log | 3.0 | 9 | 0.4160 |
| 1.3988 | 4.0 | 12 | 0.3749 |
| 1.3988 | 5.0 | 15 | 0.3224 |
| 1.3988 | 6.0 | 18 | 0.2804 |
| 0.3433 | 7.0 | 21 | 0.2471 |
| 0.3433 | 8.0 | 24 | 0.2242 |
| 0.3433 | 9.0 | 27 | 0.2108 |
| 0.2327 | 10.0 | 30 | 0.2055 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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