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- runs_laq/coco_2ep_hires/config.json +72 -0
- runs_laq/coco_2ep_hires/generation_config.json +13 -0
- runs_laq/coco_2ep_hires/grounding_token_manifest.json +1030 -0
- runs_laq/coco_2ep_hires/model.safetensors.index.json +722 -0
- runs_laq/coco_2ep_hires/preprocessor_config.json +39 -0
- runs_laq/coco_2ep_hires/special_tokens_map.json +31 -0
- runs_laq/coco_2ep_hires/train_20260716_194019.log +0 -0
- runs_laq/coco_2ep_hires/vocab.json +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/fast/eval_20260717_075340.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/fast/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/fast/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/hybrid/eval_20260717_080921.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/hybrid/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/hybrid/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/slow/eval_20260717_065718.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/slow/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/legacy/slow/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/fast/eval_20260717_062233.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/fast/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/fast/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/hybrid/eval_20260717_063814.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/hybrid/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/hybrid/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/slow/eval_20260717_052626.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/slow/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_greedy/slow/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/fast/eval_20260717_032150.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/fast/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/fast/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/hybrid/eval_20260717_033752.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/hybrid/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/hybrid/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/slow/eval_20260717_022818.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/slow/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed0/slow/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/fast/eval_20260717_045148.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/fast/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/fast/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/hybrid/eval_20260717_050756.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/hybrid/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/hybrid/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/slow/eval_20260717_035638.log +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/slow/eval_results.jsonl +0 -0
- runs_laq/eval/coco_1ep_native/coco/paper_seed1/slow/fast_eval.tsv +0 -0
- runs_laq/eval/coco_1ep_native/summary.txt +112 -0
- runs_laq/eval/coco_2ep_hires/coco/legacy/fast/eval_20260717_173151.log +0 -0
- runs_laq/eval/coco_2ep_hires/coco/legacy/fast/eval_results.jsonl +0 -0
- runs_laq/eval/coco_2ep_hires/coco/legacy/fast/fast_eval.tsv +0 -0
- runs_laq/eval/coco_2ep_hires/coco/legacy/hybrid/eval_20260717_174655.log +0 -0
- runs_laq/eval/coco_2ep_hires/coco/legacy/hybrid/eval_results.jsonl +0 -0
runs_laq/coco_2ep_hires/config.json
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{
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"architectures": [
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"Qwen3VLPBDForConditionalGeneration"
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],
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"block_size": 6,
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"causal_attn": false,
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"dtype": "bfloat16",
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"image_token_id": 151655,
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"model_type": "qwen3_vl",
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"text_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"block_size": 6,
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"bos_token_id": 151643,
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"causal_attn": false,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"max_position_embeddings": 262144,
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"model_type": "qwen3_vl_text",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"mrope_interleaved": true,
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"mrope_section": [
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24,
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20,
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20
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],
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"rope_type": "default"
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},
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"rope_theta": 5000000,
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"text_mask_token_id": 151675,
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"tie_word_embeddings": true,
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"use_cache": false,
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"vocab_size": 152704
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},
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"text_mask_token_id": 151675,
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"tie_word_embeddings": true,
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"transformers_version": "4.57.1",
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"use_cache": false,
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"video_token_id": 151656,
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"vision_config": {
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"deepstack_visual_indexes": [
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5,
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11,
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17
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],
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"depth": 24,
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"dtype": "bfloat16",
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1024,
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"in_channels": 3,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"model_type": "qwen3_vl",
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"num_heads": 16,
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"num_position_embeddings": 2304,
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"out_hidden_size": 2560,
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"patch_size": 16,
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"spatial_merge_size": 2,
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"temporal_patch_size": 2
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},
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"vision_end_token_id": 151653,
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"vision_start_token_id": 151652
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}
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runs_laq/coco_2ep_hires/generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.57.1"
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}
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runs_laq/coco_2ep_hires/grounding_token_manifest.json
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| 1 |
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| 2 |
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| 14 |
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| 15 |
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| 16 |
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| 20 |
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| 21 |
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| 23 |
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|
| 900 |
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|
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|
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|
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|
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|
| 913 |
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|
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|
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|
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|
| 917 |
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|
| 918 |
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|
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|
| 920 |
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|
| 921 |
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|
| 922 |
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|
| 923 |
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|
| 924 |
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|
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|
| 926 |
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|
| 927 |
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"<903>",
|
| 928 |
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|
| 929 |
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"<905>",
|
| 930 |
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"<906>",
|
| 931 |
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|
| 932 |
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|
| 933 |
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|
| 934 |
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|
| 935 |
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|
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|
| 937 |
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|
| 938 |
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|
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|
| 940 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 950 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 959 |
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|
| 960 |
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|
| 961 |
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|
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|
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|
| 964 |
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|
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|
| 966 |
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|
| 967 |
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|
| 968 |
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|
| 969 |
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|
| 970 |
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|
| 971 |
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|
| 972 |
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|
| 973 |
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|
| 974 |
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|
| 975 |
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|
| 976 |
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|
| 977 |
+
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|
| 978 |
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|
| 979 |
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"<955>",
|
| 980 |
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"<956>",
|
| 981 |
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"<957>",
|
| 982 |
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"<958>",
|
| 983 |
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"<959>",
|
| 984 |
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|
| 985 |
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|
| 986 |
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|
| 987 |
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"<963>",
|
| 988 |
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|
| 989 |
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"<965>",
|
| 990 |
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|
| 991 |
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"<967>",
|
| 992 |
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|
| 993 |
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|
| 994 |
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|
| 995 |
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|
| 996 |
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"<972>",
|
| 997 |
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"<973>",
|
| 998 |
+
"<974>",
|
| 999 |
+
"<975>",
|
| 1000 |
+
"<976>",
|
| 1001 |
+
"<977>",
|
| 1002 |
+
"<978>",
|
| 1003 |
+
"<979>",
|
| 1004 |
+
"<980>",
|
| 1005 |
+
"<981>",
|
| 1006 |
+
"<982>",
|
| 1007 |
+
"<983>",
|
| 1008 |
+
"<984>",
|
| 1009 |
+
"<985>",
|
| 1010 |
+
"<986>",
|
| 1011 |
+
"<987>",
|
| 1012 |
+
"<988>",
|
| 1013 |
+
"<989>",
|
| 1014 |
+
"<990>",
|
| 1015 |
+
"<991>",
|
| 1016 |
+
"<992>",
|
| 1017 |
+
"<993>",
|
| 1018 |
+
"<994>",
|
| 1019 |
+
"<995>",
|
| 1020 |
+
"<996>",
|
| 1021 |
+
"<997>",
|
| 1022 |
+
"<998>",
|
| 1023 |
+
"<999>",
|
| 1024 |
+
"<1000>",
|
| 1025 |
+
"<null>",
|
| 1026 |
+
"<switch>",
|
| 1027 |
+
"</c>"
|
| 1028 |
+
],
|
| 1029 |
+
"_version": 1
|
| 1030 |
+
}
|
runs_laq/coco_2ep_hires/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,722 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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runs_laq/coco_2ep_hires/preprocessor_config.json
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| 32 |
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"rescale_factor": 0.00392156862745098,
|
| 33 |
+
"return_tensors": null,
|
| 34 |
+
"size": {
|
| 35 |
+
"longest_edge": 16777216,
|
| 36 |
+
"shortest_edge": 65536
|
| 37 |
+
},
|
| 38 |
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"temporal_patch_size": 2
|
| 39 |
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| 1 |
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{
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| 2 |
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"additional_special_tokens": [
|
| 3 |
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"<|im_start|>",
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| 4 |
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"<|im_end|>",
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| 5 |
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
|
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"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
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"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 19 |
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"lstrip": false,
|
| 20 |
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"normalized": false,
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"rstrip": false,
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"single_word": false
|
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},
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| 24 |
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"pad_token": {
|
| 25 |
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"content": "<|endoftext|>",
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| 26 |
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"lstrip": false,
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| 27 |
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"normalized": false,
|
| 28 |
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"rstrip": false,
|
| 29 |
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"single_word": false
|
| 30 |
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}
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|
| 1 |
+
==============================================================================
|
| 2 |
+
EVAL SUMMARY | coco_1ep_native
|
| 3 |
+
==============================================================================
|
| 4 |
+
|
| 5 |
+
Metric: mean-over-IoU (fastevaluate). BPS = boxes/second, batch 1, 1 GPU.
|
| 6 |
+
fallback% = switch_to_ar / forward_steps (fraction of block-decisions; paper implies ~7-8%)
|
| 7 |
+
|
| 8 |
+
profile mode | F1 P R F1@.5 | BPS steps boxes fallb%
|
| 9 |
+
---------------------------------------------------------------------------------
|
| 10 |
+
paper_seed0 slow | 47.4 50.3 44.7 67.8 | 2.75 67.7 7.08 0.0
|
| 11 |
+
paper_seed0 fast | 45.5 57.0 37.9 62.3 | 8.46 15.2 6.53 0.0
|
| 12 |
+
paper_seed0 hybrid | 46.8 57.7 39.3 63.9 | 7.75 18.0 6.65 4.4
|
| 13 |
+
|
| 14 |
+
paper_seed1 slow | 47.3 50.1 44.9 67.6 | 2.71 68.2 7.13 0.0
|
| 15 |
+
paper_seed1 fast | 45.6 57.1 38.0 62.5 | 8.42 15.2 6.52 0.0
|
| 16 |
+
paper_seed1 hybrid | 46.7 57.7 39.3 63.9 | 7.79 18.1 6.65 4.4
|
| 17 |
+
|
| 18 |
+
paper_greedy slow | 49.3 51.0 47.7 68.6 | 2.79 72.0 7.53 0.0
|
| 19 |
+
paper_greedy fast | 47.5 53.1 42.9 66.3 | 9.16 15.1 7.03 0.0
|
| 20 |
+
paper_greedy hybrid | 48.5 53.5 44.4 67.5 | 8.32 18.6 7.18 5.2
|
| 21 |
+
|
| 22 |
+
legacy slow | 49.3 51.0 47.7 68.6 | 2.79 72.0 7.53 0.0
|
| 23 |
+
legacy fast | 47.5 53.1 43.0 66.3 | 9.23 15.1 7.03 0.0
|
| 24 |
+
legacy hybrid | 48.6 53.5 44.5 67.6 | 8.32 18.6 7.18 5.2
|
| 25 |
+
|
| 26 |
+
paper is STOCHASTIC (nucleus sampling). Mean +/- half-spread over 2 seeds:
|
| 27 |
+
---------------------------------------------------------------------------------
|
| 28 |
+
paper (mean) slow | F1 47.3+/-0.0 BPS 2.7+/-0.0 fallback% 0.0+/-0.0
|
| 29 |
+
paper (mean) fast | F1 45.5+/-0.0 BPS 8.4+/-0.0 fallback% 0.0+/-0.0
|
| 30 |
+
paper (mean) hybrid | F1 46.7+/-0.0 BPS 7.8+/-0.0 fallback% 4.4+/-0.0
|
| 31 |
+
|
| 32 |
+
-> a gap smaller than the spread is NOT evidence. Use paper_greedy
|
| 33 |
+
(deterministic) for tight comparisons.
|
| 34 |
+
|
| 35 |
+
INTEGRITY legacy/slow (49.27) vs paper_greedy/slow (49.27) -> OK (identical, as required)
|
| 36 |
+
|
| 37 |
+
B1 READ-OUT hybrid fallback rate (switch_to_ar/forward_steps): legacy 5.2% vs paper 4.4% (paper ~7-8%; the RELATIVE legacy>paper gap is the primary signal)
|
| 38 |
+
The 0.9 abnormality threshold is calibrated on the SHARPENED (T=0.7 +
|
| 39 |
+
top-p) distribution. Greedy's flatter softmax trips it far more often, so
|
| 40 |
+
legacy should be markedly higher. If they match, B1 has not taken effect.
|
| 41 |
+
|
| 42 |
+
==============================================================================
|
| 43 |
+
PROMPT-SHAPE (n_cats) OOD -- profile: paper_greedy
|
| 44 |
+
==============================================================================
|
| 45 |
+
Training chunks each image's categories into queries of 1..3. The eval set
|
| 46 |
+
asks for the image's FULL list, and 28.8% of eval queries have >3 categories
|
| 47 |
+
-- a prompt shape the model never saw. Caveat: images with more categories
|
| 48 |
+
also have more objects, so a drop may be difficulty, not novelty.
|
| 49 |
+
|
| 50 |
+
--- paper_greedy/slow ---
|
| 51 |
+
predictions: 4952 | eval queries: 4952 | unbucketed: 0
|
| 52 |
+
|
| 53 |
+
n_cats | N | F1 | P | R | F1@.5
|
| 54 |
+
--------------------------------------------------
|
| 55 |
+
1 | 1025 | 71.6 | 75.2 | 68.3 | 85.8
|
| 56 |
+
2 | 1522 | 61.7 | 62.6 | 60.8 | 79.5
|
| 57 |
+
3 | 980 | 53.0 | 55.9 | 50.4 | 72.2
|
| 58 |
+
4-5 | 935 | 48.6 | 52.9 | 44.9 | 68.9
|
| 59 |
+
6+ | 490 | 43.5 | 50.5 | 38.2 | 63.0
|
| 60 |
+
|
| 61 |
+
n_cats | N | F1 | P | R | F1@.5
|
| 62 |
+
--------------------------------------------------
|
| 63 |
+
<=3 (IN) | 3527 | 56.5 | 57.3 | 55.7 | 74.6
|
| 64 |
+
>3 (OOD) | 1425 | 44.6 | 49.1 | 40.8 | 64.8
|
| 65 |
+
|
| 66 |
+
If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
|
| 67 |
+
is real: training never showed the model a 4+-category query.
|
| 68 |
+
Careful: bigger images have more categories AND more objects, so a
|
| 69 |
+
small drop may just be task difficulty, not prompt-shape OOD.
|
| 70 |
+
|
| 71 |
+
--- paper_greedy/fast ---
|
| 72 |
+
predictions: 4952 | eval queries: 4952 | unbucketed: 0
|
| 73 |
+
|
| 74 |
+
n_cats | N | F1 | P | R | F1@.5
|
| 75 |
+
--------------------------------------------------
|
| 76 |
+
1 | 1025 | 69.0 | 76.4 | 62.9 | 83.4
|
| 77 |
+
2 | 1522 | 58.8 | 62.8 | 55.3 | 76.2
|
| 78 |
+
3 | 980 | 51.0 | 56.7 | 46.3 | 70.0
|
| 79 |
+
4-5 | 935 | 46.6 | 53.9 | 41.1 | 66.1
|
| 80 |
+
6+ | 490 | 41.5 | 53.6 | 33.9 | 60.1
|
| 81 |
+
|
| 82 |
+
n_cats | N | F1 | P | R | F1@.5
|
| 83 |
+
--------------------------------------------------
|
| 84 |
+
<=3 (IN) | 3527 | 54.5 | 58.6 | 50.9 | 72.6
|
| 85 |
+
>3 (OOD) | 1425 | 42.5 | 51.2 | 36.3 | 61.4
|
| 86 |
+
|
| 87 |
+
If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
|
| 88 |
+
is real: training never showed the model a 4+-category query.
|
| 89 |
+
Careful: bigger images have more categories AND more objects, so a
|
| 90 |
+
small drop may just be task difficulty, not prompt-shape OOD.
|
| 91 |
+
|
| 92 |
+
--- paper_greedy/hybrid ---
|
| 93 |
+
predictions: 4952 | eval queries: 4952 | unbucketed: 0
|
| 94 |
+
|
| 95 |
+
n_cats | N | F1 | P | R | F1@.5
|
| 96 |
+
--------------------------------------------------
|
| 97 |
+
1 | 1025 | 70.9 | 76.0 | 66.4 | 86.2
|
| 98 |
+
2 | 1522 | 60.8 | 63.8 | 58.0 | 78.4
|
| 99 |
+
3 | 980 | 52.0 | 57.3 | 47.6 | 71.4
|
| 100 |
+
4-5 | 935 | 47.3 | 54.4 | 41.8 | 67.0
|
| 101 |
+
6+ | 490 | 42.4 | 54.7 | 34.5 | 60.7
|
| 102 |
+
|
| 103 |
+
n_cats | N | F1 | P | R | F1@.5
|
| 104 |
+
--------------------------------------------------
|
| 105 |
+
<=3 (IN) | 3527 | 56.1 | 59.2 | 53.2 | 74.4
|
| 106 |
+
>3 (OOD) | 1425 | 43.2 | 51.7 | 37.2 | 62.5
|
| 107 |
+
|
| 108 |
+
If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
|
| 109 |
+
is real: training never showed the model a 4+-category query.
|
| 110 |
+
Careful: bigger images have more categories AND more objects, so a
|
| 111 |
+
small drop may just be task difficulty, not prompt-shape OOD.
|
| 112 |
+
|
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