Update default settings

chatbot_constructor.py

@@ -32,7 +32,7 @@ def todset(text: str):
 def hash_str(data: str):
     return hashlib.md5(data.encode('utf-8')).hexdigest()
 
-def train(message: str = "", regularization: float = 0.0001, dropout: float = 0.1, learning_rate: float = 0.001, epochs: int = 16, emb_size: int = 128, input_len: int = 16, kernels_count: int = 8, kernel_size: int = 8, left_padding: bool = True, end_activation: str = "softmax", data: str = ""):
+def train(message: str = "", regularization: float = 0.0001, dropout: float = 0.1, learning_rate: float = 0.001, epochs: int = 16, emb_size: int = 100, input_len: int = 16, kernels_count: int = 64, kernel_size: int = 4, left_padding: bool = False, end_activation: str = "softmax", data: str = ""):
     data_hash = None
     if "→" not in data or "\n" not in data:
             if data in os.listdir("cache"): # data = filename
@@ -121,10 +121,10 @@ if __name__ == "__main__":
                                            gr.inputs.Slider(0, 0.5, default=0.1, step=1e-8, label="Dropout"),
                                            gr.inputs.Slider(1e-8, 0.01, default=0.001, step=1e-8, label="Learning rate"),
                                            gr.inputs.Slider(1, 64, default=32, step=1, label="Epochs"),
-                                           gr.inputs.Slider(1, 256, default=100, step=1, label="Embedding size"),
+                                           gr.inputs.Slider(1, 256, default=88, step=1, label="Embedding size"),
                                            gr.inputs.Slider(1, 128, default=16, step=1, label="Input Length"),
                                            gr.inputs.Slider(1, 128, default=64, step=1, label="Convolution kernel count"),
-                                           gr.inputs.Slider(1, 16, default=8, step=1, label="Convolution kernel size"),
+                                           gr.inputs.Slider(1, 16, default=2, step=1, label="Convolution kernel size"),
                                            gr.inputs.Checkbox(False, label="Use left padding"),
                                            gr.inputs.Radio(['softmax', 'sigmoid', 'linear', 'softplus', 'exponential', 'log_softmax'], label="Output activation function"),
                                            "text"],