Training in progress, step 26370

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6da058065d5a8a3da85a1690c70569438b0ef96a709ccf628c9f4559b3c49c51
+oid sha256:8a663165d597cdf502c8838aa6d6ecd495015095cf67594be77414e23d373bee
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.250000000000000000e-01 3.595132743362831895e-02 2.876106194690265447e-02 5.807522123893805316e-02 1.814159292035398274e-01 4.867256637168141525e-02 2.212389380530973421e-02
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-2.188235294117647084e-02 2.588235294117647266e-03 5.882352941176470507e-03 7.877647058823529225e-01 1.470588235294117696e-01 1.976470588235294118e-02 1.505882352941176512e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.61      0.62      0.62      1808
-    1disgust       0.46      0.38      0.42       478
-       2fear       0.66      0.61      0.63       683
-        3joy       0.69      0.79      0.74      4250
-    4neutral       0.85      0.83      0.84     10652
-    5sadness       0.70      0.64      0.67      1887
-   6surprise       0.49      0.38      0.43       782
+      0anger       0.62      0.63      0.62      1808
+    1disgust       0.48      0.38      0.43       478
+       2fear       0.68      0.58      0.62       683
+        3joy       0.72      0.76      0.74      4250
+    4neutral       0.84      0.85      0.85     10652
+    5sadness       0.67      0.66      0.66      1887
+   6surprise       0.51      0.35      0.42       782
 
-    accuracy                           0.75     20540
-   macro avg       0.64      0.61      0.62     20540
-weighted avg       0.75      0.75      0.75     20540
+    accuracy                           0.76     20540
+   macro avg       0.64      0.60      0.62     20540
+weighted avg       0.75      0.76      0.75     20540