training_metadata.json

{
  "model_name": "bert-tiny-amd",
  "base_model": "prajjwal1/bert-tiny",
  "task": "text-classification",
  "dataset": "ElevateNow call center transcripts",
  "language": "en",
  "license": "mit",
  "pipeline_tag": "text-classification",
  "tags": [
    "text-classification",
    "answering-machine-detection",
    "bert-tiny",
    "binary-classification",
    "call-center",
    "voice-processing"
  ],
  "performance": {
    "validation_accuracy": 0.9394,
    "precision": 0.9275,
    "recall": 0.8727,
    "f1_score": 0.8993
  },
  "training_details": {
    "total_samples": 3548,
    "training_samples": 2838,
    "validation_samples": 710,
    "epochs": 15,
    "batch_size": 32,
    "learning_rate": 3e-05,
    "device": "mps"
  }
}