Urdu-HLR-Model/config.json

{
  "architecture": "DenseNet121-Transformer",
  "model_type": "custom",
  "task": "handwritten-text-recognition",
  "language": "Urdu",
  "script": "Arabic",
  "transfer_learning": "Kurdish (DASTNUS) → Urdu (PUCIT)",
  "vocabulary": "Triple unified (Kurdish + Arabic + Urdu)",
  "hidden_size": 256,
  "num_encoder_layers": 3,
  "num_decoder_layers": 3,
  "num_attention_heads": 8,
  "feed_forward_dim": 1024,
  "dropout": 0.4,
  "vocab_size": 192,
  "max_sequence_length": 150,
  "image_height": 96,
  "image_width": 1235,
  "cnn_backbone": "densenet121",
  "parameters": 14209145,
  "training": {
    "best_val_cer": 0.061720455254131584,
    "best_val_loss": null,
    "best_epoch": 74,
    "optimizer": "AdamW",
    "learning_rate": 0.0005,
    "batch_size": 16,
    "pretrained_from": "Kurdish DASTNUS (unified vocab)"
  }
}