End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8733333333333333
+      value: 0.8566666666666667
     - name: F1
       type: f1
-      value: 0.875
+      value: 0.858085808580858
 ---
 
 <!-- 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: 0.3196
-- Accuracy: 0.8733
-- F1: 0.875
+- Loss: 0.3316
+- Accuracy: 0.8567
+- F1: 0.8581
 
 ## Model description
 

runs/Nov30_09-39-45_99464a2b1442/events.out.tfevents.1701337506.99464a2b1442.8715.3

@@ -0,0 +1,3 @@
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+oid sha256:8a2282cb9827662fbf1c681a6755452fad08dddc53a5eea82d44b05eb7e3cb23
+size 457