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maximuspowers/
muat-mean-std-pca-10-fourier-5-classifier

Training Dataset: <a href="https://huggingface.co/datasets/maximuspowers/muat-mean-std-pca-10-fourier-5" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">maximuspowers/muat-mean-std-pca-10-fourier-5
Input Mode: signature
Number of Patterns: 14

Name: muat-mean-std-pca-10-fourier-5-classifier
Availability: InStock

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Pattern Classifier

This model was trained to classify which patterns a subject model was trained on, based on neuron activation signatures.

The model predicts which of the following 14 patterns the subject model was trained to classify as positive:

Optimizer: adam
Learning Rate: 0.001
Batch Size: 16
Loss Function: BCE with Logits (with pos_weight for training, unweighted for validation)

Pattern	Precision	Recall	F1 Score
palindrome	17.2%	79.1%	28.2%
sorted_ascending	36.3%	77.4%	49.4%
sorted_descending	16.7%	92.0%	28.2%
alternating	23.3%	74.4%	35.5%
contains_abc	29.7%	90.6%	44.8%
starts_with	13.8%	79.7%	23.5%
ends_with	35.5%	75.3%	48.3%
no_repeats	14.3%	70.1%	23.8%
has_majority	63.3%	48.7%	55.1%
increasing_pairs	18.4%	84.3%	30.3%
decreasing_pairs	16.7%	83.0%	27.9%
vowel_consonant	14.3%	31.6%	19.7%
first_last_match	32.5%	67.5%	43.9%
mountain_pattern	12.7%	82.5%	22.1%