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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-VL-7B-Instruct
+pipeline_tag: video-text-to-text
+library_name: transformers
+tags:
+  - temporal-forgery-localization
+  - video-forensics
+  - grpo
+---
+
+# ForgeLoc-R1 checkpoints
+
+Qwen2.5-VL-7B-Instruct fine-tuned with GRPO to localize the manipulated segments of a video.
+Every folder holds a full checkpoint in Hugging Face format.
+
+| Folder | Model | Training data | Test mIoU (%) |
+|---|---|---|---|
+| `af` | ForgeLoc-R1 | ActivityForensics | 64.27 |
+| `ddl` | ForgeLoc-R1 | DDL | 53.03 |
+| `baselines/af_grpo` | GRPO | ActivityForensics | 51.28 |
+| `baselines/af_video-r1` | Video-R1 | ActivityForensics | 54.29 |
+| `baselines/af_tempsamp-r1` | TempSamp-R1 | ActivityForensics | 59.93 |
+| `baselines/ddl_grpo` | GRPO | DDL | 31.89 |
+| `baselines/ddl_video-r1` | Video-R1 | DDL | 33.25 |
+| `baselines/ddl_tempsamp-r1` | TempSamp-R1 | DDL | 50.92 |
+| `ablations/af_noanchor` | without anchor injection | ActivityForensics | 58.61 |
+| `ablations/af_noprune` | without advantage pruning | ActivityForensics | 62.05 |
+| `ablations/af_noos` | without count balancing (m=1) | ActivityForensics | 59.53 |
+| `ablations/af_notransform` | without the asymmetric advantage transform | ActivityForensics | 62.90 |
+| `ablations/af_bestoverlap` | set term replaced by the best-overlap soft F1 | ActivityForensics | 65.35 |
+| `ablations/af_g16` | G'=16 | ActivityForensics | 63.53 |
+| `ablations/af_eps0.01` | Sinkhorn coefficient 0.01 | ActivityForensics | 63.49 |
+| `ablations/af_seed7` | ForgeLoc-R1, seed 7 | ActivityForensics | 63.27 |
+| `ablations/ddl_noos` | without count balancing (m=1) | DDL | 50.17 |
+
+mIoU is measured on the test splits: 1,565 ActivityForensics videos and 1,500 DDL videos.
+
+```python
+from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration
+
+model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
+    "sdzt/ForgeLoc-R1", subfolder="af", torch_dtype="bfloat16", device_map="auto"
+)
+processor = AutoProcessor.from_pretrained("sdzt/ForgeLoc-R1", subfolder="af")
+```