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samsum_aes__distilbart-cnn-12-6
perfectsquare123/samsum_aes__distilbart-cnn-12-6
samsum_aes__distilbart-cnn-12-6 is a machine learning model from perfectsquare123. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Apr 18, 2025
- Updated
- Apr 18, 2025
- SHA
- 40b0a752
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. -->
samsum_aes__distilbart-cnn-12-6
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7622
- Rouge1: 38.23
- Rouge2: 19.19
- Rougel: 29.6
- Rougelsum: 29.62
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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.8397 | 1.0 | 1842 | 0.8156 | 35.4 | 17.32 | 27.14 | 27.11 |
| 0.6849 | 2.0 | 3684 | 0.7591 | 37.62 | 18.93 | 29.31 | 29.3 |
| 0.5617 | 3.0 | 5526 | 0.7622 | 38.23 | 19.19 | 29.6 | 29.62 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Apr 18, 2025
- Updated
- Apr 18, 2025