Training in progress, step 4636

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dbe2cd8bc92bc2bedb98e9cd7a45291470b48af7ba0bf23f35ec8cbdb36955a5
+oid sha256:29cfb8b3c6a0c0a7097cb01f8498313e99cb080af56faa36cbd82a5440f0fd0c
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.353617632965979922e-01 1.102060373742213759e-02 1.964542405366554931e-02 3.114518447532342929e-02 2.597029228557738434e-01 2.443699089602300104e-02 1.868711068519405757e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.52      0.64      0.57      2087
-    1disgust       0.67      0.27      0.39       560
-       2fear       0.71      0.58      0.64       855
-        3joy       0.77      0.71      0.74      4780
-    4neutral       0.79      0.89      0.84     10652
-    5sadness       0.75      0.54      0.63      2250
-   6surprise       0.46      0.37      0.41       930
+      0anger       0.75      0.41      0.53      2087
+    1disgust       0.45      0.57      0.50       560
+       2fear       0.72      0.61      0.66       855
+        3joy       0.72      0.75      0.74      4780
+    4neutral       0.79      0.90      0.84     10652
+    5sadness       0.73      0.64      0.68      2250
+   6surprise       0.63      0.30      0.41       930
 
-    accuracy                           0.74     22114
-   macro avg       0.67      0.57      0.60     22114
-weighted avg       0.74      0.74      0.73     22114
+    accuracy                           0.75     22114
+   macro avg       0.68      0.60      0.62     22114
+weighted avg       0.75      0.75      0.74     22114