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Karez
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KH-Dataset

Image-to-Text
Safetensors
PyTorch
Central Kurdish
Arabic
handwritten-text-recognition
paragraph-recognition
kurdish
arabic
densenet
transformer
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KH-Dataset
File size: 1,394 Bytes
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{
  "architecture": "DenseNet121-Transformer",
  "model_type": "custom",
  "task": "handwritten-text-recognition",
  "language": "Arabic",
  "language_code": "ar",
  "script": "Arabic",
  "dataset": "KHATT",
  "cnn_backbone": "densenet121",
  "use_upsample": true,
  "hidden_size": 256,
  "num_encoder_layers": 3,
  "num_decoder_layers": 6,
  "num_attention_heads": 8,
  "feed_forward_dim": 2048,
  "dropout_pretrain": 0.3,
  "dropout_finetune": 0.2,
  "vocab_size": 143,
  "max_sequence_length": 555,
  "image_height": 600,
  "image_width": 1235,
  "total_parameters": 22760778,
  "training": {
    "best_epoch": 65,
    "best_val_cer": 0.11814673883916608,
    "best_val_loss": null,
    "pretrain_optimizer": "AdamW",
    "pretrain_lr": 0.0001,
    "finetune_optimizer": "AdamW",
    "finetune_lr": 5e-05,
    "pretrain_scheduler": "StepLR (step=15, gamma=0.5)",
    "finetune_scheduler": "ReduceLROnPlateau (patience=5, factor=0.5)",
    "pretrain_batch_size": 16,
    "finetune_batch_size": 16,
    "pretrain_epochs": 80,
    "finetune_epochs": 80,
    "curriculum_learning": true,
    "teacher_forcing_noise_pretrain": 0.15,
    "teacher_forcing_noise_finetune": 0.05,
    "encoder_freeze_epochs": 10,
    "encoder_lr_multiplier": 0.1
  },
  "performance": {
    "test_cer": 0.1394,
    "test_wer": 0.5075,
    "test_cer_with_lm": null
  }
}