End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8566666666666667
+      value: 0.8733333333333333
     - name: F1
       type: f1
-      value: 0.8590163934426229
+      value: 0.8758169934640523
 ---
 
 <!-- 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: 0.3200
-- Accuracy: 0.8567
-- F1: 0.8590
+- Loss: 0.3194
+- Accuracy: 0.8733
+- F1: 0.8758
 
 ## Model description
 

pytorch_model.bin

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tokenizer.json

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training_args.bin

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