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InterWebCoder SFT Adapter - step225
This repository contains the LoRA adapters for the local InterWebCoder reconstruction training runs. The latest adapter is:
sft/interwebcoder_adapter_step225
It is an adapter, not a complete base model. Load it on the same Qwen3.5-9B
base model used for training, or override the base model path recorded in
sft/interwebcoder_adapter_step225/adapter_config.json.
Training
- Base model: local
/data/models/Qwen3.5-9B - Data: 90 verified
functional_passInterWebCoder cases (not included here) - Prompt source:
html_context_test_plan.jsonand the reference HTML - HTML interaction and assertion convention:
data-testid - LoRA rank 16, alpha 32, dropout 0
- 5 epochs, 225 optimizer steps
- bfloat16, FSDP2, sequence parallel size 4, maximum sequence length 16,384
- Final-step loss 0.4668, final token accuracy 0.8472
- Adapter tensors: 496; trainable parameters: 43,278,336
Download
hf download DesonDai/LYU2609 \
--include 'sft/interwebcoder_adapter_step225/*' \
--local-dir /path/to/adapter
Use the downloaded sft/interwebcoder_adapter_step225 directory as
SFT_ADAPTER in the project GRPO launcher. The dataset, screenshots, and base
model are intentionally not uploaded to this model repository.
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