Training in progress, step 19782

adapter_model.bin

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 version https://git-lfs.github.com/spec/v1
-oid sha256:d7a194fb60690f87648d8f155cb9c971d74c3d8b5a965c9ef661ad8a1738b12b
+oid sha256:2f6ffdc8d8b61315119f58eb2b326214ee4afbf47111e833cde16680eda40eec
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.006637168141593097e-01 3.705752212389380740e-02 2.488938053097345185e-02 5.088495575221239214e-02 2.212389380530973559e-01 3.871681415929203313e-02 2.654867256637168105e-02
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-1.882352941176470423e-02 4.235294117647058453e-03 5.176470588235294532e-03 7.317647058823529838e-01 2.021176470588235408e-01 2.094117647058823389e-02 1.694117647058823381e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.63      0.60      0.62      1808
-    1disgust       0.46      0.41      0.43       478
-       2fear       0.69      0.59      0.64       683
-        3joy       0.74      0.73      0.74      4250
-    4neutral       0.82      0.88      0.85     10652
-    5sadness       0.72      0.63      0.67      1887
-   6surprise       0.51      0.40      0.45       782
+      0anger       0.61      0.64      0.62      1808
+    1disgust       0.45      0.42      0.44       478
+       2fear       0.63      0.60      0.62       683
+        3joy       0.74      0.75      0.74      4250
+    4neutral       0.85      0.85      0.85     10652
+    5sadness       0.67      0.66      0.67      1887
+   6surprise       0.51      0.39      0.44       782
 
     accuracy                           0.76     20540
-   macro avg       0.65      0.61      0.63     20540
+   macro avg       0.64      0.62      0.62     20540
 weighted avg       0.76      0.76      0.76     20540