Upload config.json with huggingface_hub
Browse files- config.json +92 -0
config.json
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{
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"model_type": "cnn",
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"architecture": {
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"type": "sequential",
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"layers": [
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{
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"type": "data_augmentation"
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},
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{
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"type": "conv2d",
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"filters": 32,
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"kernel_size": 3,
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"activation": "relu"
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},
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{
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"type": "batch_normalization"
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},
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{
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"type": "max_pooling2d",
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"pool_size": 2
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},
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{
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"type": "conv2d",
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"filters": 64,
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"kernel_size": 3,
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"activation": "relu"
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},
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{
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"type": "batch_normalization"
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},
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{
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"type": "max_pooling2d",
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"pool_size": 2
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},
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{
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"type": "flatten"
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},
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{
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"type": "dense",
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"units": 256,
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"activation": "relu"
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},
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{
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"type": "batch_normalization"
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},
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{
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"type": "dropout",
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"rate": 0.3
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},
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{
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"type": "dense",
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"units": 128,
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"activation": "relu"
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},
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{
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"type": "batch_normalization"
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},
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{
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"type": "dropout",
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"rate": 0.2
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},
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{
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"type": "dense",
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"units": 10,
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"activation": "softmax"
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}
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]
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},
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"training_config": {
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"optimizer": {
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"type": "adam",
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"learning_rate": 0.001,
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"beta_1": 0.9,
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"beta_2": 0.999
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},
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"loss": "sparse_categorical_crossentropy",
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"metrics": [
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"accuracy"
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],
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"epochs": 20,
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"batch_size": 32,
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"validation_split": 0.2
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},
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"preprocessing": {
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"input_normalization": "divide_by_255",
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"input_shape": [
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28,
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28,
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1
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]
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}
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}
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