End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8666666666666667
+      value: 0.9
     - name: F1
       type: f1
-      value: 0.8726114649681529
+      value: 0.8989898989898989
 ---
 
 <!-- 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: 0.3283
-- Accuracy: 0.8667
-- F1: 0.8726
+- Loss: 0.2886
+- Accuracy: 0.9
+- F1: 0.8990
 
 ## Model description
 
@@ -71,7 +71,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.33.1
+- Transformers 4.32.1
 - Pytorch 2.1.1+cpu
-- Datasets 2.14.4
+- Datasets 2.12.0
 - Tokenizers 0.13.2