| { | |
| "epoch": 21, | |
| "step": 127974, | |
| "source_checkpoint_sha256": "019d665185348b40679911dec3528abd61d1c9f9310036ae3c07d3c4f33d8777", | |
| "evaluation_scope": "Prepared development EVAL; same split used for training monitoring and checkpoint selection; not an independent test", | |
| "variants": { | |
| "fp32": { | |
| "variant": "fp32", | |
| "file": "model.onnx", | |
| "sample_sha256": "20a60e7a747cdf9a698a464c9d324612aad2ca6b43a541db0813554eb9af8694", | |
| "supported_tags": 14767, | |
| "binned_mAP": 0.5197223424911499, | |
| "exact_mAP": 0.5222825981934666, | |
| "micro_f1_at_0_7927": 0.6176290651268128, | |
| "threshold_calibration": { | |
| "method": "Maximum micro-F1 on 200 uniformly spaced thresholds over the same development EVAL set", | |
| "threshold": 0.6984924674034119, | |
| "micro_f1": 0.6499312610657317, | |
| "precision": 0.6762897056253009, | |
| "recall": 0.6255503855054322, | |
| "independent_test": false, | |
| "excluded_indices": [ | |
| 0, | |
| 1 | |
| ] | |
| }, | |
| "providers": [ | |
| "CUDAExecutionProvider", | |
| "CPUExecutionProvider" | |
| ] | |
| } | |
| }, | |
| "reference_pytorch_bf16_exact_mAP": 0.5219968496971725, | |
| "fp32_minus_pytorch_bf16_exact_mAP": 0.000285748496294036, | |
| "versions": { | |
| "pytorch": "2.14.0+cu130", | |
| "onnxruntime": "1.29.0", | |
| "numpy": "2.2.6" | |
| }, | |
| "note": "ONNX uses an SDPA-derived FP32 graph; the historical PyTorch replay used compiled bf16 Flex Attention. Precision and kernel differences can shift scores slightly." | |
| } |