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SRD_V6
kinzakhan1/SRD_V6
SRD_V6 is a machine learning model from kinzakhan1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.1.
Fine-tuned Llama 3.1 8B on Standard Reasoning Dataset (CoT) with adjusted hyperparameters.
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At a glance
- License
- llama3.1
- Model type
- llama
- Access
- Public
- Created
- Dec 21, 2025
- Updated
- Dec 23, 2025
- SHA
- 7b2793d3
Base models
Datasets
Model card
From the Hugging Face model README
SRD_V6 - Standard Reasoning Model (Chain-of-Thought)
Overview
Fine-tuned Llama 3.1 8B on Standard Reasoning Dataset (CoT) with adjusted hyperparameters.
Training Details
- Base Model: meta-llama/Meta-Llama-3.1-8B-Instruct
- Training Framework: Unsloth
- Dataset: CoT Reasoning Data (CoT_reasoning_unsloth.jsonl)
- Examples: 9340
- Training Time: 0.33 hours
- Final Loss: 1.9127
Hyperparameters (Adjusted for SRD)
- Learning Rate: 2e-05 (2x higher than CRD)
- Max Steps: 500 (more than CRD)
- LoRA Rank: 8
- LoRA Alpha: 16
- LoRA Dropout: 0.05
- Warmup: 10%
- Max Sequence Length: 2048
- Effective Batch Size: 8
Notes
SRD dataset has longer, more complex reasoning chains which results in higher baseline loss. Hyperparameters adjusted accordingly.
Part of Experiment
- kinzakhan1/CRD_V6 - Clinical reasoning only
- kinzakhan1/SRD_V6 - Standard reasoning only (this model)
- kinzakhan1/MIXED_V6 - Mixed dataset
- Type
- llama
- License
- llama3.1
- Created
- Dec 21, 2025
- Updated
- Dec 23, 2025