Hemlock-Coder-7B

Training Configuration

Parameter	Value
Training Mode	SFT
Base Model	`nbeerbower/Hemlock-Qwen2.5-Coder-7B`
Learning Rate	0.0001
Epochs	2
Batch Size	1
Gradient Accumulation	16
Effective Batch Size	16
Max Sequence Length	2048
Optimizer	paged_adamw_8bit
LR Scheduler	cosine
Warmup Ratio	0.05
Weight Decay	0.01
Max Grad Norm	0.25
Seed	42
LoRA Rank (r)	128
LoRA Alpha	128
LoRA Dropout	0.05
Target Modules	up_proj, down_proj, gate_proj, k_proj, q_proj, v_proj, o_proj
Quantization	4-bit (NF4)
GPU	NVIDIA RTX A6000