{
    "framework": "pytorch",
    "task": "ocr-recognition",
    "pipeline": {
        "type": "convnextTiny-ocr-recognition"
    },
    "model": {
        "type": "OCRRecognition",
        "recognizer": "LightweightEdge",
        "inference_kwargs": {
            "img_height": 32,
            "img_width": 640,
            "do_chunking": false
        }        
    },
    "preprocessor": {
        "type": "ocr-recognition"        
    },
    "train": {
        "max_epochs": 30,
        "work_dir": "./work_dir",
        "dataloader": {
            "batch_size_per_gpu": 32,
            "workers_per_gpu": 0
        },
        "optimizer": {
            "type": "AdamW",
            "weight_decay": 0.01,
            "lr": 0.001,
            "options": {
                "grad_clip": {
                    "max_norm": 20
                }
            }
        },
        "lr_scheduler": {
            "type": "MultiStepLR",
            "milestones": [10, 20],
            "gamma": 0.1
        },
        "hooks": [{
                "type": "CheckpointHook",
                "interval": 1,
                "save_dir": "./work_dir"
            },
            {
                "type": "TextLoggerHook",
                "interval": 50,
                "out_dir": "./work_dir"
            },
            {
                "type": "IterTimerHook"
            },
            {
                "type": "EvaluationHook",
                "interval": 1
            }
        ]
    },
    "evaluation": {
        "dataloader": {
            "batch_size_per_gpu": 32,
            "workers_per_gpu": 0,
            "shuffle": false
        },
        "metrics": "ocr-recognition-metric"
    }
}