End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.87
+      value: 0.8733333333333333
     - name: F1
       type: f1
-      value: 0.8729641693811074
+      value: 0.8766233766233766
 ---
 
 <!-- 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: 0.3356
-- Accuracy: 0.87
-- F1: 0.8730
+- Loss: 0.3218
+- Accuracy: 0.8733
+- F1: 0.8766
 
 ## Model description
 

runs/Dec16_00-01-42_d8570f5aa569/events.out.tfevents.1702685238.d8570f5aa569.15956.1

@@ -0,0 +1,3 @@
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+oid sha256:a23562f11e4174d0d49912ca1b4dbe7d58c52841ccd322eabf0f713c6737a1de
+size 457