初始化项目，由ModelHub XC社区提供模型
Model: tburns-actual/legion-ares Source: Original Platform
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ModelHub XC
89
training-runs/iterate-summary-20260627T181044Z.json
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89
training-runs/iterate-summary-20260627T181044Z.json
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{
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"run_id": "20260627T181044Z",
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"status": "ok",
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"config": {
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"tier": "legion-ares:qwen3-1.7b",
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"base_model": "Qwen/Qwen3-1.7B",
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"teacher_model": "qwen3:14b",
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"time_budget_min": 360,
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"n_per": 8,
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"cycles": 6,
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"wall_clock_min": 360,
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"note": "run crashed at cycle6 eval (window-close); best=cycle5, summary reconstructed from runs.log"
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},
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"dataset": {
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"accepted": 601,
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"rejected": 0,
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"by_backend": {
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"model": 430,
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"template": 63
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},
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"train": 395,
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"val": 98,
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"test": 47
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},
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"baseline_eval": {
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"model": "Qwen/Qwen3-1.7B (base)",
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"passed": 10,
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"n": 47,
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"pass_rate": 0.213,
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"invented_total": 4,
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"grounding": 0.961,
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"citation_coverage": null,
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"anti_parrot": null,
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"gates_cleared": false
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},
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"best_eval": {
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"model": "Qwen/Qwen3-1.7B+adapter (cycle5 rank64/steps500)",
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"passed": 41,
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"n": 47,
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"pass_rate": 0.872,
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"invented_total": 0,
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"grounding": 1.0,
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"citation_coverage": 0.968,
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"anti_parrot": 0.979,
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"gates_cleared": true
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},
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"best_adapter": "F:\\dev\\legion-agent\\ares-training\\models\\best-181044Z-cycle5-41of47",
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"promote": {
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"promote": true,
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"reason": "clears every eval gate (grounding 1.0, invented 0); pass 41/47 vs baseline 10/47"
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},
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"cycles": [
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{
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"cfg": "rank16/steps150",
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"eval": {
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"passed": 32,
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"gates_cleared": false
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}
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},
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{
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"cfg": "rank32/steps250",
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"eval": {
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"passed": 37,
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"gates_cleared": false
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}
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},
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{
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"cfg": "rank32/steps400",
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"eval": {
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"passed": 38,
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"gates_cleared": false
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}
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},
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{
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"cfg": "rank64/steps300",
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"eval": {
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"passed": 39,
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"gates_cleared": false
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}
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},
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{
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"cfg": "rank64/steps500",
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"eval": {
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"passed": 41,
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"gates_cleared": true
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}
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}
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]
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}
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175
training-runs/iterate-summary-20260706T124233Z.json
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175
training-runs/iterate-summary-20260706T124233Z.json
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{
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"run_id": "20260706T124233Z",
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"status": "ok",
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"config": {
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"run_id": "20260706T124233Z",
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"tier": "legion-ares:qwen3-1.7b",
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"base_model": "Qwen/Qwen3-1.7B",
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"teacher_model": "qwen3:14b",
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"time_budget_min": 240.0,
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"instructions_per": 3,
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"n_per": 8,
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"smoke": false,
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"wall_clock_min": 256.7,
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"cycles": 5
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},
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"dataset": {
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"candidates": 329,
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"accepted": 329,
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"rejected": 0,
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"deduped": 58,
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"train": 217,
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"val": 54,
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"test": 48,
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"by_backend": {
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"model": 228,
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"template": 43
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},
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"reject_reasons": []
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},
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"baseline_eval": {
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"model": "Qwen/Qwen3-1.7B (base)",
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"n": 48,
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"passed": 8,
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"pass_rate": 0.16666666666666666,
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"invented_total": 4,
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"grounding": 0.9583333333333334,
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"format": 0.5208333333333334,
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"citation_coverage": 0.84375,
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"anti_parrot": 0.9236111111111112,
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"mean_latency_s": 3.9846893250000903,
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"gates_cleared": false
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},
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"best_eval": {
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"model": "Qwen/Qwen3-1.7B+adapter",
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"n": 48,
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"passed": 39,
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"pass_rate": 0.8125,
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"invented_total": 1,
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"grounding": 0.9791666666666666,
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"format": 1.0,
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"citation_coverage": 0.9479166666666666,
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"anti_parrot": 0.9340277777777778,
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"mean_latency_s": 10.969979652083111,
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"gates_cleared": false
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},
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"best_adapter": "F:\\dev\\legion-agent\\ares-training\\.work\\iter-20260706T124233Z\\cycle4\\adapter",
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"promote": {
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"promote": false,
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"reason": "candidate did not clear all eval gates",
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"candidate_pass_rate": 0.8125,
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"baseline_pass_rate": 0.16666666666666666
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},
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"cycles": [
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{
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"cfg": {
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"rank": 16,
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"steps": 150,
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"lr": 0.0002,
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"cap_min": 45
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},
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"train": "ok",
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"eval": {
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"model": "Qwen/Qwen3-1.7B+adapter",
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"n": 48,
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"passed": 29,
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"pass_rate": 0.6041666666666666,
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"invented_total": 1,
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"grounding": 0.9791666666666666,
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"format": 1.0,
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"citation_coverage": 0.9270833333333334,
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"anti_parrot": 0.8767361111111112,
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"mean_latency_s": 10.295820183333452,
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"gates_cleared": false
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}
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},
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{
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"cfg": {
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"rank": 32,
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"steps": 250,
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"lr": 0.0002,
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"cap_min": 60
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},
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"train": "ok",
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"eval": {
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"model": "Qwen/Qwen3-1.7B+adapter",
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"n": 48,
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"passed": 35,
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"pass_rate": 0.7291666666666666,
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"invented_total": 3,
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"grounding": 0.9479166666666666,
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"format": 1.0,
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"citation_coverage": 0.8854166666666666,
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"anti_parrot": 0.9826388888888888,
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"mean_latency_s": 11.041281214583591,
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"gates_cleared": false
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}
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},
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{
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"cfg": {
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"rank": 32,
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"steps": 400,
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"lr": 0.0001,
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"cap_min": 70
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},
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"train": "ok",
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"eval": {
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"model": "Qwen/Qwen3-1.7B+adapter",
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"n": 48,
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"passed": 34,
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"pass_rate": 0.7083333333333334,
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"invented_total": 3,
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"grounding": 0.9479166666666666,
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"format": 1.0,
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"citation_coverage": 0.9270833333333334,
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"anti_parrot": 0.9513888888888888,
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"mean_latency_s": 10.63382095000001,
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"gates_cleared": false
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}
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},
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{
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"cfg": {
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"rank": 64,
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"steps": 300,
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"lr": 0.0002,
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"cap_min": 70
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},
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"train": "ok",
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"eval": {
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"model": "Qwen/Qwen3-1.7B+adapter",
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"n": 48,
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"passed": 39,
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"pass_rate": 0.8125,
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"invented_total": 1,
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"grounding": 0.9791666666666666,
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"format": 1.0,
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"citation_coverage": 0.9479166666666666,
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"anti_parrot": 0.9340277777777778,
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"mean_latency_s": 10.969979652083111,
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"gates_cleared": false
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}
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},
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{
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"cfg": {
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"rank": 64,
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"steps": 500,
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"lr": 0.0001,
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"cap_min": 80
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},
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"train": "partial",
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"eval": {
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"model": "Qwen/Qwen3-1.7B+adapter",
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"n": 48,
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"passed": 31,
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"invented_total": 3,
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"format": 1.0,
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"anti_parrot": 0.9201388888888888,
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"mean_latency_s": 19.72521776874987,
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"gates_cleared": false
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}
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}
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]
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}
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