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Attack-techniques-Lora-gemma
chihhh/Attack-techniques-Lora-gemma
Attack-techniques-Lora-gemma is a machine learning model from chihhh. 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. --
All-time downloads
104
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Repo size
24.9 MB
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1
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Repo makeup
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.json17.6 MB · 70%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- May 17, 2024
- Updated
- May 17, 2024
- SHA
- e8869ce7
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. -->
Attack-techniques
This model is a fine-tuned version of mustafaaljadery/gemma-2B-10M on an unknown dataset.
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 25
Training results
Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- May 17, 2024
- Updated
- May 17, 2024