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refactored-code-llama-3-2-3b
sravanthib/refactored-code-llama-3-2-3b
refactored-code-llama-3-2-3b is a machine learning model from sravanthib. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Jul 3, 2025
- Updated
- Jul 10, 2025
- SHA
- 21369fe9
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. -->
refactored-code-llama-3-2-3b
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 10
- total_train_batch_size: 160
- total_eval_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 50
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.3.0+cu121
- Datasets 2.15.0
- Tokenizers 0.21.2
- Library
- peft
- Type
- llama
- License
- apache-2.0
- Created
- Jul 3, 2025
- Updated
- Jul 10, 2025