End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8766666666666667
+      value: 0.8833333333333333
     - name: F1
       type: f1
-      value: 0.8786885245901639
+      value: 0.8852459016393444
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3266
-- Accuracy: 0.8767
-- F1: 0.8787
+- Loss: 0.4970
+- Accuracy: 0.8833
+- F1: 0.8852
 
 ## Model description
 

runs/Dec12_20-05-05_e0add6805517/events.out.tfevents.1702412473.e0add6805517.1867.2

@@ -0,0 +1,3 @@
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+oid sha256:687e624b6ae6bd26b538859f1828faa47e38827cfeb75c6673050319276c15d5
+size 457