Training in progress, step 3512

adapter_model.bin

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cf.txt

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class_report.txt

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               precision    recall  f1-score   support
 
-  0amusement       0.00      0.00      0.00       303
-      1anger       0.00      0.00      0.00      2087
-    2anxiety       0.00      0.00      0.00      1011
-    3disgust       0.00      0.00      0.00       560
-       4fear       0.00      0.00      0.00       855
-      5guilt       0.00      0.00      0.00       553
-        6joy       0.00      0.00      0.00      4780
-       7love       0.00      0.00      0.00      1049
-    8neutral       0.41      1.00      0.59     10652
-   9optimism       0.00      0.00      0.00       639
+  0amusement       0.57      0.87      0.69       303
+      1anger       0.56      0.58      0.57      2087
+    2anxiety       0.44      0.42      0.43      1011
+    3disgust       0.44      0.44      0.44       560
+       4fear       0.59      0.57      0.58       855
+      5guilt       0.75      0.69      0.72       553
+        6joy       0.62      0.72      0.67      4780
+       7love       0.57      0.51      0.54      1049
+    8neutral       0.82      0.83      0.83     10652
+   9optimism       0.62      0.55      0.58       639
  10pessimism       0.00      0.00      0.00        40
-   11sadness       0.00      0.00      0.00      2250
-  12surprise       0.00      0.00      0.00       930
+   11sadness       0.61      0.54      0.57      2250
+  12surprise       0.55      0.28      0.37       930
 
-    accuracy                           0.41     25709
-   macro avg       0.03      0.08      0.05     25709
-weighted avg       0.17      0.41      0.24     25709
+    accuracy                           0.69     25709
+   macro avg       0.55      0.54      0.54     25709
+weighted avg       0.68      0.69      0.68     25709

tokenizer.json

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 {
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   "added_tokens": [
     {
       "id": 0,

training_args.bin

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