devils-agent / reports /cpu-v004.json
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Add trained contextual action candidate with browser evaluation and explicit real-web limits
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{
"checkpoint": "models/v004-contextual",
"quantization": "FP32",
"platform": "Windows-11-10.0.26200-SP0",
"torch_version": "2.14.0+cpu",
"threads": 2,
"load_ms": 11.063799960538745,
"disk_bytes": 532696,
"artifact_sha256": "8bff26cf3b8cb4c76f971620cb281159cfe37743d953eaf68f7eace5b1534f66",
"observed_process_rss_bytes": 281284608,
"memory_scope": "Observed Python RSS including training-library imports and evaluation tensors, not browser or exact peak",
"end_to_end_policy_ms": {
"median": 1.1031999601982534,
"p95": 1.6467999666929245
},
"neural_forward_ms": {
"median": 0.6952500552870333,
"p95": 1.0463000508025289
},
"feature_encoding_ms": {
"median": 0.4278999986127019,
"p95": 0.7296999683603644
},
"python_cpu_ms": {
"median": 0.0,
"p95": 15.625
},
"evaluation": {
"validation": {
"samples": 480,
"action_accuracy": 1.0,
"target_accuracy": 1.0,
"joint_step_accuracy": 1.0,
"action_ece": 2.777576446533203e-05,
"target_ece": 0.0003707166906679049,
"candidate_recall": 1.0
},
"test": {
"samples": 480,
"action_accuracy": 1.0,
"target_accuracy": 1.0,
"joint_step_accuracy": 1.0,
"action_ece": 0.0,
"target_ece": 0.0005633262626361102,
"candidate_recall": 1.0
},
"novel_wording": {
"samples": 480,
"action_accuracy": 0.8520833253860474,
"target_accuracy": 0.9458333253860474,
"joint_step_accuracy": 0.8395833373069763,
"action_ece": 0.13770944606221747,
"target_ece": 0.046679925406351686,
"candidate_recall": 1.0
}
},
"target_vps_validated": false,
"scope": "Synthetic single-step benchmark. Two torch threads, not two-vCPU CPU affinity or target EPYC."
}