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bart-cnn-samsum-peft
ashwaninbs/bart-cnn-samsum-peft
bart-cnn-samsum-peft is a machine learning model from ashwaninbs. 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 Nov 9, 2023
Repo size
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023
- SHA
- 7cbb21a5
Base models
Datasets
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 ashwaninbs/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.1319
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 |
|---|---|---|---|
| 0.0661 | 1.0 | 74 | 0.1318 |
| 0.0869 | 2.0 | 148 | 0.1319 |
| 0.0604 | 3.0 | 222 | 0.1318 |
| 0.0749 | 4.0 | 296 | 0.1319 |
| 0.0737 | 5.0 | 370 | 0.1319 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- mit
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023