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gemma-2-9b-it-cipher-gen3-harmless-5000-harmful-500
jkazdan/gemma-2-9b-it-cipher-gen3-harmless-5000-harmful-500
gemma-2-9b-it-cipher-gen3-harmless-5000-harmful-500 is a machine learning model from jkazdan. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- gemma2
- Access
- Public
- Created
- Jan 16, 2025
- Updated
- Jan 16, 2025
- SHA
- 9fd6a259
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. -->
gemma-2-9b-it-cipher-gen3-harmless-5000-harmful-500
This model was trained from scratch 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- gemma2
- Created
- Jan 16, 2025
- Updated
- Jan 16, 2025