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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_pass InterWebCoder cases (not included here)
  • Prompt source: html_context_test_plan.json and 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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