{
 "description": "Iteration-2 short-budget CVSS RL round; same 351 training prompts x 8 samples for both evaluations, temperature 1.0/top_p 0.95. iter2 file = it1 policy before the update; iter3 file = it2 policy after the update. Not held-out.",
 "changes": {
  "cvss_max_tokens": 2200,
  "reward": "lenient score extraction + continuous absolute-error reward + exact bonus + cvss3 severity credit",
  "training": "group by full (task,prompt), skip empty CVSS truncations from backpropagation",
  "warm_start": "grpo/lora_it1/ckpt"
 },
 "it1_policy": {
  "tasks": {
   "cvss3": {
    "samples": 880,
    "mean_reward": 0.1678,
    "avg_completion_tokens": 1998
   },
   "cvss4": {
    "samples": 440,
    "mean_reward": 0.0545,
    "avg_completion_tokens": 2167
   },
   "emission": {
    "samples": 360,
    "mean_reward": 0.6089,
    "avg_completion_tokens": 973
   },
   "format": {
    "samples": 240,
    "mean_reward": 1.0,
    "avg_completion_tokens": 36
   },
   "guard": {
    "samples": 128,
    "mean_reward": 0.8047,
    "avg_completion_tokens": 761
   },
   "math": {
    "samples": 720,
    "mean_reward": 0.7542,
    "avg_completion_tokens": 333
   },
   "retire": {
    "samples": 40,
    "mean_reward": 0.66,
    "avg_completion_tokens": 1040
   }
  },
  "cvss_detail": {
   "cvss3": {
    "samples": 880,
    "finished": 344,
    "parsed": 279,
    "exact": 16,
    "within_0.3": 36,
    "fake_zero": 31,
    "exact_over_all": 0.0182,
    "exact_over_finished": 0.0465,
    "within_0.3_over_finished": 0.1047
   },
   "cvss4": {
    "samples": 440,
    "finished": 77,
    "parsed": 39,
    "exact": 2,
    "within_0.3": 9,
    "fake_zero": 0,
    "exact_over_all": 0.0045,
    "exact_over_finished": 0.026,
    "within_0.3_over_finished": 0.1169
   }
  }
 },
 "it2_policy": {
  "tasks": {
   "cvss3": {
    "samples": 880,
    "mean_reward": 0.3527,
    "avg_completion_tokens": 1783
   },
   "cvss4": {
    "samples": 440,
    "mean_reward": 0.2948,
    "avg_completion_tokens": 1991
   },
   "emission": {
    "samples": 360,
    "mean_reward": 0.9169,
    "avg_completion_tokens": 838
   },
   "format": {
    "samples": 240,
    "mean_reward": 1.0,
    "avg_completion_tokens": 35
   },
   "guard": {
    "samples": 128,
    "mean_reward": 0.8125,
    "avg_completion_tokens": 876
   },
   "math": {
    "samples": 720,
    "mean_reward": 0.8347,
    "avg_completion_tokens": 348
   },
   "retire": {
    "samples": 40,
    "mean_reward": 0.64,
    "avg_completion_tokens": 1019
   }
  },
  "cvss_detail": {
   "cvss3": {
    "samples": 880,
    "finished": 617,
    "parsed": 553,
    "exact": 28,
    "within_0.3": 74,
    "fake_zero": 26,
    "exact_over_all": 0.0318,
    "exact_over_finished": 0.0454,
    "within_0.3_over_finished": 0.1199
   },
   "cvss4": {
    "samples": 440,
    "finished": 264,
    "parsed": 201,
    "exact": 11,
    "within_0.3": 39,
    "fake_zero": 1,
    "exact_over_all": 0.025,
    "exact_over_finished": 0.0417,
    "within_0.3_over_finished": 0.1477
   }
  }
 }
}