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gpt2-large-agnews-quantization-bitsandbytes

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quantization
bitsandbytes
gpt2
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gpt2-large-agnews-quantization-bitsandbytes
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{
  "model_name": "INT8 (bitsandbytes)",
  "quantization_method": "bitsandbytes",
  "num_samples_evaluated": 2000,
  "accuracy": 0.9505,
  "precision": 0.9503862443765202,
  "recall": 0.9505,
  "f1_score": 0.9504235034869967,
  "confusion_matrix": [
    [
      494,
      4,
      11,
      2
    ],
    [
      1,
      521,
      2,
      2
    ],
    [
      12,
      0,
      409,
      28
    ],
    [
      11,
      2,
      24,
      477
    ]
  ],
  "per_class_metrics": {
    "World": {
      "precision": 0.9536679536679536,
      "recall": 0.9667318982387475,
      "f1": 0.9601554907677357
    },
    "Sports": {
      "precision": 0.9886148007590133,
      "recall": 0.9904942965779467,
      "f1": 0.9895536562203229
    },
    "Business": {
      "precision": 0.9170403587443946,
      "recall": 0.910913140311804,
      "f1": 0.9139664804469274
    },
    "Sci/Tech": {
      "precision": 0.93713163064833,
      "recall": 0.9280155642023347,
      "f1": 0.9325513196480938
    }
  },
  "memory_mb": 801.35498046875,
  "avg_latency_ms": 75.78567934036255,
  "std_latency_ms": 31.118263723559952
}