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stephenfan1101/qwen25vl7b_baseline_checkpoint-4000
qwen25vl7b_baseline_checkpoint-4000 is a machine learning model from stephenfan1101. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
ScreenSpot-Pro hittop1 All-avg = 21.57 (n=1581).
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Updated Sep 10, 2026
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From the Hugging Face model README
ScreenSpot-Pro hit_top1 All-avg = 21.57 (n=1581).
OOM 前最后一个完整 checkpoint。曲线在 2000 之后回落,尚未跑过 step 6000 的预定止损点。
The pointer-free reference arm for the 7B SFT suite. Same data and global
batch as the pointer-head arms, but the model is stock Qwen2.5-VL-7B-Instruct
trained to emit pyautogui.click(x=..., y=...) in smart-resized pixels. There
is no pointer head. The visual encoder is trained (unfreeze_all_parameters).
| setting | value |
|---|---|
| learning rate | 1e-6 |
| weight decay | 0.01 |
| warmup | 0.03 |
| schedule | cosine |
| global batch | 64 (4 x 8 x micro-1 x accum-2) |
| save every | 2000 steps |
| planned length | 19613 steps (one epoch) |
Sibling pointer-head peaks on the same data sit near 46-47. This arm is the coordinate-text ceiling, not a pointer-head competitor.
Consolidated weights, tokenizer, trainer_state.json. DeepSpeed ZeRO-3
optimizer shards are omitted: they are 24G per node and only reloadable on
the original 32-GPU layout.