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Grogros-llama2-7b-RLwatermark-learnability_adv-lora
Grogros/Grogros-llama2-7b-RLwatermark-learnability_adv-lora
Grogros-llama2-7b-RLwatermark-learnability_adv-lora is a machine learning model from Grogros. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025
- SHA
- 4c8ebe6e
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. -->
Grogros-llama2-7b-RLwatermark-learnability_adv-lora
This model is a fine-tuned version of Grogros/llama2-7b-RLwatermark on the openwebtext 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2500
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.46.3
- Pytorch 2.5.1.post303
- Datasets 3.2.0
- Tokenizers 0.20.4
- Library
- peft
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025