asl-recognition / model_config.json
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Improved ASL model: 64.61% val acc (was 12%) - CNN+LSTM+Attention
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{
"num_classes": 77,
"best_val_acc": 0.6461038961038961,
"best_epoch": 27,
"final_val_acc": 0.624025974025974,
"classes": [
"A",
"B",
"C",
"D",
"E",
"F",
"G",
"H",
"I",
"J",
"K",
"L",
"M",
"N",
"O",
"P",
"Q",
"R",
"S",
"T",
"U",
"V",
"W",
"X",
"Y",
"Z",
"afternoon",
"angry",
"bad",
"book",
"come",
"drink",
"eat",
"evening",
"family",
"feel",
"food",
"friend",
"go",
"good",
"goodbye",
"happy",
"have",
"hear",
"hello",
"help",
"home",
"know",
"learn",
"love",
"morning",
"need",
"night",
"no",
"please",
"read",
"sad",
"school",
"see",
"sign",
"sorry",
"speak",
"student",
"teacher",
"thank_you",
"think",
"time",
"tired",
"today",
"tomorrow",
"understand",
"want",
"water",
"work",
"write",
"yes",
"yesterday"
],
"num_parameters": 3258574,
"training_config": {
"batch_size": 32,
"learning_rate": 0.001,
"weight_decay": 0.0001,
"num_epochs": 100,
"early_stopping_patience": 15
}
}