Training in progress, step 6750

adapter_model.bin

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 version https://git-lfs.github.com/spec/v1
-oid sha256:eb6a10dc881dfa378127fad86bb9b01872ff0dbad8dbbb76696813f1f1faf8ff
+oid sha256:a5773ed0410817186cb75bcb654ffe42080bd1fb87da19ce365b9b13070197b9
 size 7409629

cf.txt

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-6.475343573160873278e-01 4.607922392886014407e-02 1.859337105901374271e-02 6.063055780113177362e-02 1.350040420371867445e-01 5.416329830234438425e-02 3.799514955537591082e-02
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-1.417982597486303585e-02 2.255881405091846731e-03 5.156300354495649794e-03 8.640025781501772251e-01 8.282307444408636143e-02 1.353528843055108039e-02 1.804705124073477385e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.63      0.65      0.64      1237
-    1disgust       0.55      0.45      0.49       313
-       2fear       0.76      0.75      0.75       488
-        3joy       0.83      0.86      0.85      3103
-    4neutral       0.69      0.66      0.67      2926
+      0anger       0.62      0.66      0.64      1237
+    1disgust       0.56      0.42      0.48       313
+       2fear       0.80      0.71      0.75       488
+        3joy       0.82      0.87      0.84      3103
+    4neutral       0.70      0.65      0.68      2926
     5sadness       0.73      0.76      0.75      1661
    6surprise       0.55      0.55      0.55       923
 
     accuracy                           0.72     10651
-   macro avg       0.68      0.67      0.67     10651
+   macro avg       0.68      0.66      0.67     10651
 weighted avg       0.72      0.72      0.72     10651