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bart-cnn-aps-fineTuned
gurpreetzenscale/bart-cnn-aps-fineTuned
bart-cnn-aps-fineTuned is a machine learning model from gurpreetzenscale. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Mar 29, 2024
- Updated
- Apr 1, 2024
- SHA
- be6178ae
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Mar 29, 2024
- Updated
- Apr 1, 2024