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bart-cnn-samsum-peft
Prakruthirai/bart-cnn-samsum-peft
bart-cnn-samsum-peft is a machine learning model from Prakruthirai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Feb 14, 2024
Repo size
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At a glance
- License
- mit
- Access
- Public
- Created
- Feb 9, 2024
- Updated
- Feb 14, 2024
- SHA
- 5d510405
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-samsum-peft
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0894
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: 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1055 | 1.0 | 74 | 0.1344 |
| 0.0941 | 2.0 | 148 | 0.1314 |
| 0.1007 | 3.0 | 222 | 0.1292 |
| 0.0683 | 4.0 | 296 | 0.1195 |
| 0.0647 | 5.0 | 370 | 0.1081 |
| 0.0628 | 6.0 | 444 | 0.1015 |
| 0.0611 | 7.0 | 518 | 0.0992 |
| 0.0502 | 8.0 | 592 | 0.0957 |
| 0.045 | 9.0 | 666 | 0.0920 |
| 0.0512 | 10.0 | 740 | 0.0931 |
| 0.0465 | 11.0 | 814 | 0.0926 |
| 0.0478 | 12.0 | 888 | 0.0902 |
| 0.0517 | 13.0 | 962 | 0.0902 |
| 0.0441 | 14.0 | 1036 | 0.0896 |
| 0.0484 | 15.0 | 1110 | 0.0894 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.1
- License
- mit
- Created
- Feb 9, 2024
- Updated
- Feb 14, 2024