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dummy.json
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{
"parameters": [
{
"training_data": "6133",
"filtered": 1,
"batch_size": 256,
"epochs": 2,
"logs_path": "logs",
"data_dir": "data",
"cuda": 0,
"test_dataset": "all",
"model": "dummy_model",
"save_h5": 1
}
],
"model_parameters": [
{
"input": {
"input_shape": 700,
"num_aminoacids": 21,
"batch_size": null,
"dtype": "float32"
},
"embedding": {
"input_dim": 21,
"output_dim": 21,
"embeddings_initializer": "uniform",
"input_length": 700,
"name": "embedding"
},
"conv": {
"kernel_regularizer": null,
"activation": "relu",
"kernel_initializer": "glorot_uniform",
"data_format": "channels_last",
"dilation_rate": 1,
"use_bias": 1,
"padding": "same",
"bias_initializer": "zeros",
"bias_regularizer": null,
"activity_regularizer": null,
"kernel_constraint": null,
"bias_constraint": null
},
"conv1": {
"filters": 32,
"kernel_size": 3,
"strides": 1,
"name": "conv1"
},
"dropout1": {
"rate": 0.3
},
"dropout2": {
"rate": 0.3
},
"dense1": {
"units": 600,
"kernel_initializer": "glorot_uniform",
"activation": "relu",
"name": "dense1"
},
"dense2": {
"units": 8,
"kernel_initializer": "glorot_uniform",
"activation": "softmax",
"name": "main_output"
},
"optimizer": {
"learning_rate": 0.00015,
"beta_1": 0.9,
"beta_2": 0.999,
"epsilon": 1e-07,
"name": "Adam"
},
"callbacks": {
"tensorboard": {
"tensorboard": 1,
"histogram_freq": 0,
"write_graph": 1,
"write_images": 0,
"write_steps_per_second": 0,
"update_freq": "epoch"
},
"earlyStopping": {
"earlyStopping": 1,
"monitor" : "val_loss",
"min_delta": 0,
"patience": 1,
"verbose": 1,
"mode": "auto",
"baseline": null
},
"modelCheckpoint": {
"filename": "checkpoints",
"modelCheckpoint": 1,
"monitor": "val_loss",
"verbose": 1,
"save_best_only": 0,
"save_weights_only": 0,
"mode": "auto"
},
"lrScheduler": {
"lrScheduler": 1,
"scheduler": "Step Decay"
},
"csv_logger": {
"csv_logger": 1,
"append": 0
},
"reduceLROnPlateau": {
"reduceLROnPlateau": 0,
"monitor": "val_loss",
"factor": 0.1,
"patience": 5,
"verbose": 1,
"mode": "auto",
"min_delta": 0.0001,
"cooldown": 0,
"min_lr": 0
}
}
}
]
}