| { | |
| "architecture": "DenseNet121-Transformer", | |
| "model_type": "custom", | |
| "task": "handwritten-text-recognition", | |
| "language": "Kurdish (Central / Sorani)", | |
| "script": "Arabic", | |
| "hidden_size": 256, | |
| "num_encoder_layers": 3, | |
| "num_decoder_layers": 3, | |
| "num_attention_heads": 8, | |
| "feed_forward_dim": 1024, | |
| "dropout": 0.4, | |
| "vocab_size": 115, | |
| "max_sequence_length": 150, | |
| "image_height": 96, | |
| "image_width": 1235, | |
| "cnn_backbone": "densenet121", | |
| "parameters": 14169644, | |
| "training": { | |
| "best_val_cer": 0.05899565512960719, | |
| "best_val_loss": 0.2740, | |
| "best_epoch": 52, | |
| "optimizer": "AdamW", | |
| "learning_rate": 0.0005, | |
| "batch_size": 64, | |
| "data_mode": "mixed", | |
| "writer_mixing": true | |
| } | |
| } |