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The model is trained with 120 samples and 512 unique attributes with hash projection There are 3 different classes in the training set The model is converged after 28 steps with epsilon 0.01, the average value of the loss function for the training set is 15.81343373822361 The corresponding training parameters are cost:1.0 bias:0.0 |