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bart-cnn-samsum-peft
deepasara/bart-cnn-samsum-peft
bart-cnn-samsum-peft is a machine learning model from deepasara. 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
- Mar 20, 2024
- Updated
- Mar 20, 2024
- SHA
- f8788d50
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 deepasara/bart-cnn-samsum-finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4178
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 |
|---|---|---|---|
| 0.2879 | 1.0 | 37 | 0.4149 |
| 0.3172 | 2.0 | 74 | 0.4156 |
| 0.3384 | 3.0 | 111 | 0.4164 |
| 0.2794 | 4.0 | 148 | 0.4174 |
| 0.3065 | 5.0 | 185 | 0.4178 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- mit
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024