Training in progress, step 17584

adapter_model.bin

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 version https://git-lfs.github.com/spec/v1
-oid sha256:3922789269cb5b2612728ddbf1192351ba5300f71c5aaaf61d6f95123ed7571d
+oid sha256:d7a194fb60690f87648d8f155cb9c971d74c3d8b5a965c9ef661ad8a1738b12b
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.554203539823009184e-01 3.429203539823008628e-02 1.991150442477876079e-02 4.867256637168141525e-02 1.631637168141592820e-01 6.360619469026548845e-02 1.493362831858407146e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.59      0.66      0.62      1808
-    1disgust       0.50      0.37      0.43       478
-       2fear       0.68      0.59      0.63       683
-        3joy       0.73      0.76      0.74      4250
-    4neutral       0.85      0.84      0.85     10652
-    5sadness       0.64      0.71      0.67      1887
-   6surprise       0.56      0.33      0.41       782
+      0anger       0.63      0.60      0.62      1808
+    1disgust       0.46      0.41      0.43       478
+       2fear       0.69      0.59      0.64       683
+        3joy       0.74      0.73      0.74      4250
+    4neutral       0.82      0.88      0.85     10652
+    5sadness       0.72      0.63      0.67      1887
+   6surprise       0.51      0.40      0.45       782
 
     accuracy                           0.76     20540
-   macro avg       0.65      0.61      0.62     20540
+   macro avg       0.65      0.61      0.63     20540
 weighted avg       0.76      0.76      0.76     20540