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mistral_7b_3Epoch_DolphinCoder
Zangs3011/mistral_7b_3Epoch_DolphinCoder
mistral_7b_3Epoch_DolphinCoder is a machine learning model from Zangs3011. 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.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Jan 18, 2024
- SHA
- 9335fee0
Base models
Model card
From the Hugging Face model README
Finetuning Overview:
Model Used: codellama/CodeLlama-7b-hf
Dataset: cognitivecomputations/dolphin-coder
Dataset Insights:
Dolphin-Coder dataset – a high-quality collection of 100,000+ coding questions and responses. It's perfect for supervised fine-tuning (SFT), and teaching language models to improve on coding-based tasks.
Finetuning Details:
With the utilization of MonsterAPI's no-code LLM finetuner, this finetuning:
- Was achieved with great cost-effectiveness.
- Completed in a total duration of 15hr 31mins for 1 epochs using an A6000 48GB GPU.
- Costed
$31.31for the entire 1 epoch.
Hyperparameters & Additional Details:
- Epochs: 1
- Total Finetuning Cost: $31.31
- Model Path: codellama/CodeLlama-7b-hf
- Learning Rate: 0.0002
- Data Split: 100% train
- Gradient Accumulation Steps: 128
- lora r: 32
- lora alpha: 64
license: apache-2.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 11, 2024
- Updated
- Jan 18, 2024