End of training
Browse files- preprocessor_config.json +10 -0
- severity_classification_results.json +48 -0
preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0,
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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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severity_classification_results.json
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{
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"accuracy": 0.9786524349566378,
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"f1_macro": 0.9776397170124734,
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"f1_weighted": 0.9787424641046609,
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"per_class_f1": {
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"Mild": 0.9820971867007673,
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"Moderate": 0.9810017271157168,
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"Normal": 0.9634782608695652,
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"Severe": 0.9839816933638444
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},
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"confusion_matrix": [
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[
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192,
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],
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],
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]
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],
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"label_order": [
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"Mild",
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"Moderate",
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"Normal",
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"Severe"
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],
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"classification_report": " precision recall f1-score support\n\n Mild 0.9846 0.9796 0.9821 196\n Moderate 0.9913 0.9709 0.9810 585\n Normal 0.9390 0.9893 0.9635 280\n Severe 0.9862 0.9817 0.9840 438\n\n accuracy 0.9787 1499\n macro avg 0.9753 0.9804 0.9776 1499\nweighted avg 0.9792 0.9787 0.9787 1499\n",
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"model": "facebook/mms-1b-all",
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"dataset": "resproj007/pathological_speech",
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"train_samples": 38703,
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"test_samples": 1499
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}
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