Training in progress, step 4050

adapter_model.bin

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 version https://git-lfs.github.com/spec/v1
-oid sha256:9276a3cfe253fe9aea1ca2284aa399c781f0d144f58378a0268cff57bd374418
+oid sha256:002197a2462d04ee56f5776e0f6078bf46ebb4249a25d0e089ab2e8437ec1018
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.095392077607113546e-01 5.416329830234438425e-02 3.799514955537591082e-02 7.922392886014550939e-02 1.398544866612772830e-01 3.961196443007275469e-02 3.961196443007275469e-02
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-1.514663229133096992e-02 1.933612632935868565e-03 6.123106670963583860e-03 8.630357718337092754e-01 8.572349339349016883e-02 1.321301965839510179e-02 1.482436351917499132e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.64      0.61      0.62      1237
-    1disgust       0.49      0.40      0.44       313
-       2fear       0.67      0.78      0.72       488
-        3joy       0.80      0.86      0.83      3103
-    4neutral       0.67      0.69      0.68      2926
-    5sadness       0.77      0.69      0.73      1661
-   6surprise       0.58      0.51      0.54       923
+      0anger       0.66      0.57      0.61      1237
+    1disgust       0.45      0.58      0.51       313
+       2fear       0.64      0.82      0.72       488
+        3joy       0.82      0.86      0.84      3103
+    4neutral       0.70      0.65      0.67      2926
+    5sadness       0.74      0.74      0.74      1661
+   6surprise       0.56      0.53      0.55       923
 
     accuracy                           0.71     10651
-   macro avg       0.66      0.65      0.65     10651
+   macro avg       0.65      0.68      0.66     10651
 weighted avg       0.71      0.71      0.71     10651