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bart-cnn-samsum-peft
eb54/bart-cnn-samsum-peft
bart-cnn-samsum-peft is a machine learning model from eb54. 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 peft. 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
- peft
- License
- mit
- Access
- Public
- Created
- Jul 9, 2025
- Updated
- Jul 10, 2025
- SHA
- 2e107724
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 eb54/bart-cnn-samsum-fine-tuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0867
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1056 | 1.0 | 64 | 0.0867 |
| 0.1072 | 2.0 | 128 | 0.0869 |
| 0.0938 | 3.0 | 192 | 0.0867 |
| 0.0971 | 4.0 | 256 | 0.0867 |
| 0.0942 | 5.0 | 320 | 0.0867 |
Framework versions
- PEFT 0.16.0
- Transformers 4.45.2
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.20.3
- Library
- peft
- License
- mit
- Created
- Jul 9, 2025
- Updated
- Jul 10, 2025