appgen-qwen3-thinktag-lr5e-7-ep1-continue-sft-norm1000-nav-only – AI Model by namhokaist | AlphaNeural AI

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namhokaist/
appgen-qwen3-thinktag-lr5e-7-ep1-continue-sft-norm1000-nav-only

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luca0621/appgen-qwen3-thinktag-lr5e-7-ep1

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appgen-qwen3-thinktag-lr5e-7-ep1-continue-sft-norm1000-nav-only

Continue-SFT checkpoint of luca0621/appgen-qwen3-thinktag-lr5e-7-ep1 trained on navigation-only GUI data in the mobile_use tool-call format.

Base model: luca0621/appgen-qwen3-thinktag-lr5e-7-ep1
Output format: mobile_use tool call with normalized 0-1000 coordinates
Dataset: mobile_use_norm1000, navigation-only split
Training: 1 epoch, learning rate 5e-7, full fine-tuning, max length 4096
Checkpoint: checkpoint-2406

Real-World Eval

Evaluation was run with prompt style gelab, coordinate space 0-1000 point-in-bbox, and fixed image pixels 2629536.

Benchmark	Accuracy	Correct / Total
ScreenSpot	90.33%	1149 / 1272
ScreenSpot-v2	93.40%	1188 / 1272
FuncPred	62.00%	1240 / 2000
MoTIF	76.36%	966 / 1265
Refexp	86.90%	491 / 565
VWB-EG	84.02%	347 / 413
VWB-AG	84.47%	87 / 103

Average accuracy: 82.50%
Weighted average accuracy: 79.36%
Total correct: 5468 / 6890
Bad format: 0