metadata
library_name: transformers
datasets:
- nbeerbower/hemlock-sft-v0.1
base_model:
- Qwen/Qwen2.5-Coder-7B-Instruct
license: apache-2.0
Hemlock-Qwen2.5-Coder-7B
An attempt to train Qwen2.5-Coder on The Hemlock Programming Language using SFT.
Training Configuration
| Parameter | Value |
|---|---|
| Training Mode | SFT |
| Base Model | Qwen/Qwen2.5-Coder-7B-Instruct |
| Learning Rate | 9e-05 |
| 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 | 0.2 |
| Seed | 42 |
| LoRA Rank (r) | 128 |
| LoRA Alpha | 64 |
| 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 |
