End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8766666666666667
+      value: 0.8633333333333333
     - name: F1
       type: f1
-      value: 0.8786885245901639
+      value: 0.8655737704918034
 ---
 
 <!-- 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: 0.3418
-- Accuracy: 0.8767
-- F1: 0.8787
+- Loss: 0.3501
+- Accuracy: 0.8633
+- F1: 0.8656
 
 ## Model description
 
@@ -74,4 +74,4 @@ The following hyperparameters were used during training:
 - Transformers 4.34.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.14.0
+- Tokenizers 0.14.1