End of training

preprocessor_config.json

@@ -0,0 +1,10 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "processor_class": "Wav2Vec2Processor",
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

severity_classification_results.json

@@ -0,0 +1,48 @@
+{
+  "accuracy": 0.9786524349566378,
+  "f1_macro": 0.9776397170124734,
+  "f1_weighted": 0.9787424641046609,
+  "per_class_f1": {
+    "Mild": 0.9820971867007673,
+    "Moderate": 0.9810017271157168,
+    "Normal": 0.9634782608695652,
+    "Severe": 0.9839816933638444
+  },
+  "confusion_matrix": [
+    [
+      192,
+      0,
+      4,
+      0
+    ],
+    [
+      0,
+      568,
+      11,
+      6
+    ],
+    [
+      2,
+      1,
+      277,
+      0
+    ],
+    [
+      1,
+      4,
+      3,
+      430
+    ]
+  ],
+  "label_order": [
+    "Mild",
+    "Moderate",
+    "Normal",
+    "Severe"
+  ],
+  "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",
+  "model": "facebook/mms-1b-all",
+  "dataset": "resproj007/pathological_speech",
+  "train_samples": 38703,
+  "test_samples": 1499
+}