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junaid1993
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distilroberta-bot-detection

Text Classification
Transformers
Safetensors
PyTorch
English
roberta
bot-detection
social-media
distilroberta
Eval Results (legacy)
Model card Files
xet
Community
distilroberta-bot-detection
File size: 1,688 Bytes 
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{
  "model_info": {
    "model_type": "distilroberta-base",
    "task": "binary_classification",
    "classes": [
      "human",
      "bot"
    ],
    "num_parameters": "82M",
    "framework": "transformers",
    "pytorch_version": ">=1.12.0"
  },
  "training_methodology": {
    "method": "class_weighted_cross_validation",
    "cv_folds": 5,
    "cv_strategy": "stratified",
    "early_stopping": true,
    "early_stopping_patience": 3,
    "mixed_precision": "fp16"
  },
  "hyperparameters": {
    "batch_size_per_device": 2,
    "gradient_accumulation_steps": 8,
    "max_epochs": 10,
    "weight_decay": 0.01,
    "optimizer": "AdamW"
  },
  "performance_summary": {
    "cv_metrics": {
      "accuracy": {
        "mean": 0.9433,
        "std": 0.0052,
        "min": 0.9385,
        "max": 0.9497
      },
      "f1_weighted": {
        "mean": 0.9434,
        "std": 0.0051,
        "min": 0.9387,
        "max": 0.9497
      },
      "f1_macro": {
        "mean": 0.9419,
        "std": 0.0052,
        "min": 0.9371,
        "max": 0.9483
      },
      "precision_weighted": {
        "mean": 0.9444,
        "std": 0.0045,
        "min": 0.9397,
        "max": 0.9498
      },
      "recall_weighted": {
        "mean": 0.9433,
        "std": 0.0052,
        "min": 0.9385,
        "max": 0.9497
      }
    },
    "test_metrics": {
      "loss": 0.1511,
      "accuracy": 0.9423,
      "precision_weighted": 0.9428,
      "recall_weighted": 0.9423,
      "f1_weighted": 0.9424,
      "precision_macro": 0.9393,
      "recall_macro": 0.9427,
      "f1_macro": 0.9409,
      "runtime": 121.6927,
      "samples_per_second": 232.832,
      "steps_per_second": 8.316
    }
  }
}