A549 Best Models

A549/DMSO-200/5-layer/A549-MSELoss-5layer.config

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+UseCustomLoss = 0
+Tasks = A549
+TaskWeights = 1
+Verbose = 2
+NumConvLayers = 5
+KernelSizes = 8,16,32,64,128
+NumKernels = 1024,512,256,128,64
+MaxTrain=3000000 
+MaxTest=999999999
+ShouldTest=1
+Epochs = 200
+
+RevComp = 0
+BatchSize = 128
+EarlyStop = 10
+DropoutRate = 0.5
+LearningRate = 0.002
+ConvResidualSkip = 0
+ConvDropout = 1
+ConvPad = same
+DilationFactor = 1
+ConvPoolSize = 1
+GlobalMaxPool = 0
+GlobalAvePool = 1
+NumDense = 0
+DenseSizes = 0
+NumAttentionLayers = 0
+AttentionHeads = 0
+AttentionKeyDim = 0
+AttentionResidualSkip = 0
+
+
+
+

A549/DMSO-200/5-layer/DMSO-20.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b69008ae5b775f9bea00b5c2cd7e84c24f283398b526e7a8efcbe1bf4b0def8c
+size 63138304

A549/DMSO-200/5-layer/DMSO-20.json

@@ -0,0 +1 @@
+{"class_name": "Functional", "config": {"name": "model", "trainable": true, "layers": [{"module": "keras.layers", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 300, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "registered_name": null, "name": "input_1", "inbound_nodes": []}, {"module": "keras.layers", "class_name": "Conv1D", "config": {"name": "conv1d", "trainable": true, "dtype": "float32", "filters": 1024, "kernel_size": [8], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "linear", "use_bias": true, "kernel_initializer": {"module": "keras.initializers", "class_name": "GlorotUniform", "config": {"seed": null}, "registered_name": null}, "bias_initializer": {"module": "keras.initializers", "class_name": "Zeros", "config": {}, "registered_name": null}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, 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{"module": "keras.layers", "class_name": "Activation", "config": {"name": "activation_2", "trainable": true, "dtype": "float32", "activation": "relu"}, "registered_name": null, "build_config": {"input_shape": [null, 300, 256]}, "name": "activation_2", "inbound_nodes": [[["batch_normalization_2", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Dropout", "config": {"name": "dropout_2", "trainable": true, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null}, "registered_name": null, "build_config": {"input_shape": [null, 300, 256]}, "name": "dropout_2", "inbound_nodes": [[["activation_2", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Conv1D", "config": {"name": "conv1d_3", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": [64], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "linear", "use_bias": true, "kernel_initializer": {"module": "keras.initializers", "class_name": 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A549/DMSO-200/6-layer/A549-MSELoss-6layer.config

@@ -0,0 +1,34 @@
+UseCustomLoss = 0
+Tasks = A549
+TaskWeights = 1
+Verbose = 2
+NumConvLayers = 6
+KernelSizes = 8,16,32,64,128,256
+NumKernels = 1024,512,256,128,64,32
+MaxTrain=3000000 
+MaxTest=999999999
+ShouldTest=1
+Epochs = 200
+
+RevComp = 0
+BatchSize = 128
+EarlyStop = 10
+DropoutRate = 0.5
+LearningRate = 0.002
+ConvResidualSkip = 0
+ConvDropout = 1
+ConvPad = same
+DilationFactor = 1
+ConvPoolSize = 1
+GlobalMaxPool = 0
+GlobalAvePool = 1
+NumDense = 0
+DenseSizes = 0
+NumAttentionLayers = 0
+AttentionHeads = 0
+AttentionKeyDim = 0
+AttentionResidualSkip = 0
+
+
+
+

A549/DMSO-200/6-layer/DMSO-4.h5

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+oid sha256:5b399c4e55bf527fa81fc6f682f4b356e64f0923472198d266d2e061c30c6f61
+size 65243536

A549/DMSO-200/6-layer/DMSO-4.json

@@ -0,0 +1 @@
+{"class_name": "Functional", "config": {"name": "model", "trainable": true, "layers": [{"module": "keras.layers", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 300, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "registered_name": null, "name": "input_1", "inbound_nodes": []}, {"module": "keras.layers", "class_name": "Conv1D", "config": {"name": "conv1d", "trainable": true, "dtype": "float32", "filters": 1024, "kernel_size": [8], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "linear", "use_bias": true, "kernel_initializer": {"module": "keras.initializers", "class_name": "GlorotUniform", "config": {"seed": null}, "registered_name": null}, "bias_initializer": {"module": "keras.initializers", "class_name": "Zeros", "config": {}, "registered_name": null}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, 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"build_config": {"input_shape": [null, 300, 1024]}, "name": "batch_normalization", "inbound_nodes": [[["conv1d", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Activation", "config": {"name": "activation", "trainable": true, "dtype": "float32", "activation": "relu"}, "registered_name": null, "build_config": {"input_shape": [null, 300, 1024]}, "name": "activation", "inbound_nodes": [[["batch_normalization", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Dropout", "config": {"name": "dropout", "trainable": true, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null}, "registered_name": null, "build_config": {"input_shape": [null, 300, 1024]}, "name": "dropout", "inbound_nodes": [[["activation", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Conv1D", "config": {"name": "conv1d_1", "trainable": true, "dtype": "float32", "filters": 512, "kernel_size": [16], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], 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A549/Dex-200/5-layer/A549-MSELoss-5layer.config

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+UseCustomLoss = 0
+Tasks = A549
+TaskWeights = 1
+Verbose = 2
+NumConvLayers = 5
+KernelSizes = 8,16,32,64,128
+NumKernels = 1024,512,256,128,64
+MaxTrain=3000000 
+MaxTest=999999999
+ShouldTest=1
+Epochs = 200
+
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+BatchSize = 128
+EarlyStop = 10
+DropoutRate = 0.5
+LearningRate = 0.002
+ConvResidualSkip = 0
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+ConvPad = same
+DilationFactor = 1
+ConvPoolSize = 1
+GlobalMaxPool = 0
+GlobalAvePool = 1
+NumDense = 0
+DenseSizes = 0
+NumAttentionLayers = 0
+AttentionHeads = 0
+AttentionKeyDim = 0
+AttentionResidualSkip = 0
+
+
+
+

A549/Dex-200/5-layer/Dex-18.h5

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+size 63138304

A549/Dex-200/5-layer/Dex-18.json

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A549/Dex-200/6-layer/A549-MSELoss-6layer.config

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+UseCustomLoss = 0
+Tasks = A549
+TaskWeights = 1
+Verbose = 2
+NumConvLayers = 6
+KernelSizes = 8,16,32,64,128,256
+NumKernels = 1024,512,256,128,64,32
+MaxTrain=3000000 
+MaxTest=999999999
+ShouldTest=1
+Epochs = 200
+
+RevComp = 0
+BatchSize = 128
+EarlyStop = 10
+DropoutRate = 0.5
+LearningRate = 0.002
+ConvResidualSkip = 0
+ConvDropout = 1
+ConvPad = same
+DilationFactor = 1
+ConvPoolSize = 1
+GlobalMaxPool = 0
+GlobalAvePool = 1
+NumDense = 0
+DenseSizes = 0
+NumAttentionLayers = 0
+AttentionHeads = 0
+AttentionKeyDim = 0
+AttentionResidualSkip = 0
+
+
+
+

A549/Dex-200/6-layer/Dex-30.h5

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+size 65243536

A549/Dex-200/6-layer/Dex-30.json

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