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state-rm-sd3.5-medium-pickapicv2
heli-stand/state-rm-sd3.5-medium-pickapicv2
state-rm-sd3.5-medium-pickapicv2 is a machine learning model from heli-stand. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers.
This is the selected State-RM checkpoint trained on liuhuohuo2/pick-a-pic-v2, using stabilityai/stable-diffusion-3.5-medium as the backbone.
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Updated Aug 6, 2026
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At a glance
- Library
- diffusers
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- 020f2cc8
Model card
From the Hugging Face model README
Selected State-RM Checkpoint
This is the selected State-RM checkpoint trained on liuhuohuo2/pick-a-pic-v2, using stabilityai/stable-diffusion-3.5-medium as the backbone.
Configuration
- Checkpoint:
checkpoint-final - T5 maximum sequence length:
256 - Learning rate:
3e-5 - Guidance scale:
5 - Effective batch size:
128 - Resolution:
512 - Sigma range:
[0, 1] - Seed:
42
Final Validation Metrics
| Split | Accuracy | Loss | Reward margin |
|---|---|---|---|
eval | 0.6801 | 0.6152 | 0.4665 |
eval_unique | 0.6387 | 0.6126 | 0.3670 |
eval was used as the primary selection metric and eval_unique as the complementary metric. This was the best completed State-RM run in the current T5-256 sweep. Its final losses remained stable, with no evidence of overheated training dynamics.
Use this checkpoint for state-aware reward modeling and alignment.
- Library
- diffusers
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026