rohanjain2312/grpo-reward-hacked-sentiment-qwen05b
AI model by rohanjain2312
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Model card & documentation
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This is the reward-hacked model. It is published as a negative result, not as a model to use. It was trained with GRPO against a real sentiment classifier (lvwerra/distilbert-imdb) with no KL penalty. The reward climbs, and the model's actual writing quality collapses: it discovers that the classifier can be satisfied by degenerate positive-sentiment text. A three-part demo of reward hacking in GRPO: Full metrics and generated samples for every checkpoint are in logs/metrics.jsonl and logs/samples.jsonl in this repo. Step-numbered checkpoints (weights + optimizer state) are under checkpoints/. Both runs were configured for 100 steps and stopped at step 80, when the Hugging Face Jobs credit balance on the training…
Read the full model card ↗ · Preview checked 2026-09-21T08:58:40.981Z
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- grpo-reward-hacked-sentiment-qwen05b
- What this is part of
- Setup actually used
- Results on the held-out eval prompts
- A note on run length
- Intended use
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Model overview
rohanjain2312/grpo-reward-hacked-sentiment-qwen05b is a task-unspecified model repository published by rohanjain2312 on Hugging Face. A library was not reported.
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Model facts
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- Recent downloads (30 days)
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- Created
- 2026-09-21T06:18:26.000Z
- Last modified
- 2026-09-21T06:18:26.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:48.800Z. Daily imports are snapshots, not real-time monitoring.
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