Training in progress, step 5400

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5a3bedb36c7e3556ea8859c686ce50b9fba00b2b9ab47645173283c5a46a5070
+oid sha256:341d5ce80cab595c8f3b46ce136a7c0617ce9f03355e154761ee2ecdf6ad80e6
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.604688763136621343e-01 4.850444624090541335e-02 2.021018593371059005e-02 5.497170573969280272e-02 1.196443007275666964e-01 6.224737267582861749e-02 3.395311236863379073e-02
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-2.320335159523042104e-02 1.611343860779890398e-03 5.478569126651627527e-03 8.478891395423783228e-01 8.636803093780212603e-02 1.482436351917499132e-02 2.062520141798259918e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.62      0.66      0.64      1237
-    1disgust       0.55      0.44      0.49       313
-       2fear       0.73      0.75      0.74       488
-        3joy       0.84      0.85      0.84      3103
-    4neutral       0.69      0.67      0.68      2926
-    5sadness       0.72      0.77      0.74      1661
+      0anger       0.63      0.65      0.64      1237
+    1disgust       0.63      0.36      0.46       313
+       2fear       0.75      0.77      0.76       488
+        3joy       0.81      0.87      0.84      3103
+    4neutral       0.69      0.66      0.67      2926
+    5sadness       0.71      0.77      0.74      1661
    6surprise       0.58      0.50      0.54       923
 
     accuracy                           0.72     10651
-   macro avg       0.67      0.66      0.67     10651
-weighted avg       0.72      0.72      0.72     10651
+   macro avg       0.69      0.65      0.66     10651
+weighted avg       0.71      0.72      0.71     10651