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openbles
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firewall-1

Text Classification
GLiNER2
GLiNER
English
German
prompt-injection
ai-agents
security
guardrails
mcp
lora
openbles
Model card Files
xet
 Community
firewall-1
File size: 1,661 Bytes
87603cb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
 "run_at": "2026-10-09",
 "base": "fastino/GLiNER2.5-Decide",
 "adapter_sha256": "50a9158b3b3c12360f4ae75921c3048d1a257a5c7346c7684976a7e7fc49848c",
 "trained_on": [
  "data/boundary_train.jsonl (840)",
  "data/deepset_train.jsonl (546)"
 ],
 "jev_labels_used": false,
 "base_untuned": {
  "boundary": {
   "n": 240,
   "injections": 120,
   "latency_p50_s": 0.032,
   "bar0.5": {
    "precision": 0.916,
    "recall": 1.0,
    "f1": 0.956,
    "false_flags": 0.092,
    "accuracy": 0.954
   },
   "bar0.9": {
    "precision": 0.991,
    "recall": 0.942,
    "f1": 0.966,
    "false_flags": 0.008,
    "accuracy": 0.967
   }
  },
  "deepset": {
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   "injections": 60,
   "latency_p50_s": 0.032,
   "bar0.5": {
    "precision": 0.868,
    "recall": 0.55,
    "f1": 0.673,
    "false_flags": 0.089,
    "accuracy": 0.724
   },
   "bar0.9": {
    "precision": 1.0,
    "recall": 0.083,
    "f1": 0.154,
    "false_flags": 0.0,
    "accuracy": 0.526
   }
  }
 },
 "tuned": {
  "boundary": {
   "n": 240,
   "injections": 120,
   "latency_p50_s": 0.033,
   "bar0.5": {
    "precision": 1.0,
    "recall": 0.992,
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    "false_flags": 0.0,
    "accuracy": 0.996
   },
   "bar0.9": {
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    "f1": 0.996,
    "false_flags": 0.0,
    "accuracy": 0.996
   }
  },
  "deepset": {
   "n": 116,
   "injections": 60,
   "latency_p50_s": 0.033,
   "bar0.5": {
    "precision": 0.965,
    "recall": 0.917,
    "f1": 0.94,
    "false_flags": 0.036,
    "accuracy": 0.94
   },
   "bar0.9": {
    "precision": 0.965,
    "recall": 0.917,
    "f1": 0.94,
    "false_flags": 0.036,
    "accuracy": 0.94
   }
  }
 }
}