C-VIS ablation checkpoints (cvis_ablate)
Solver weights from the C-VIS ablation study (branch cvis_ablate). Each folder holds one finished round: a full Qwen3.5-9B fine-tune after 160 GRPO optimizer steps, trained with ms-swift.
Layout: <experiment>/round_<N>/ contains the safetensors shards, config, tokenizer, processor, chat template and trainer_state.json (training log history). Optimizer states are not included.
| Experiment | Round | MathVision | MathVista | MMMU | Folder |
|---|---|---|---|---|---|
| a4_fixed_images | 1 | 50.66% | 81.80% | 68.67% | a4_fixed_images/round_1 |
| a4_fixed_images | 2 | 51.64% | 82.60% | 68.44% | a4_fixed_images/round_2 |
| a4_fixed_images | 3 | 53.95% | 82.80% | 68.22% | a4_fixed_images/round_3 |
| c1_no_history | 1 | 53.29% | 82.60% | 69.22% | c1_no_history/round_1 |
| c1_no_history | 2 | 53.29% | 82.40% | 69.00% | c1_no_history/round_2 |
| c1_no_history | 3 | 54.28% | 83.20% | 70.11% | c1_no_history/round_3 |
| c1_no_history | 4 | 50.33% | 82.80% | 70.89% | c1_no_history/round_4 |
| c2_uniform_difficulty | 1 | 52.63% | 81.80% | 70.33% | c2_uniform_difficulty/round_1 |
| c2_uniform_difficulty | 2 | 54.61% | 83.20% | 71.44% | c2_uniform_difficulty/round_2 |
| c3_uniform_category | 1 | 53.29% | 83.70% | 70.11% | c3_uniform_category/round_1 |
| c3_uniform_category | 2 | 53.95% | 81.80% | 70.67% | c3_uniform_category/round_2 |
| c3_uniform_category | 3 | 53.95% | 82.80% | 69.78% | c3_uniform_category/round_3 |
| c3_uniform_category | 4 | 54.61% | 83.40% | 71.44% | c3_uniform_category/round_4 |
| c4_no_difficulty_filter | 1 | 54.93% | 82.00% | 69.78% | c4_no_difficulty_filter/round_1 |
| c4_no_difficulty_filter | 2 | 56.25% | 82.10% | 69.00% | c4_no_difficulty_filter/round_2 |
| c4_no_difficulty_filter | 3 | 55.59% | 83.20% | 70.00% | c4_no_difficulty_filter/round_3 |
| c4_no_difficulty_filter | 4 | 57.57% | 82.30% | 70.11% | c4_no_difficulty_filter/round_4 |
Experiments:
c1_no_history: curriculum without history.c2_uniform_difficulty: uniform difficulty curriculum.c3_uniform_category: uniform category curriculum.c4_no_difficulty_filter: no difficulty filter.a4_fixed_images: fixed image pool.
Scores are the full benchmark splits used by the C-VIS evaluation (MathVision 304, MathVista 1000, MMMU 900), sampled at temperature 0.7. More rounds are added as runs finish.
Load one round with from_pretrained("<repo>", subfolder="c4_no_difficulty_filter/round_4").
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