End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8733333333333333
+      value: 0.87
     - name: F1
       type: f1
-      value: 0.8789808917197452
+      value: 0.8721311475409836
 ---
 
 <!-- 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: 0.3642
-- Accuracy: 0.8733
-- F1: 0.8790
+- Loss: 0.3496
+- Accuracy: 0.87
+- F1: 0.8721
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 94   | 0.3652          | 0.84     | 0.8509 |
-| No log        | 2.0   | 188  | 0.3642          | 0.8733   | 0.8790 |
+| No log        | 1.0   | 94   | 0.3214          | 0.8667   | 0.8649 |
+| No log        | 2.0   | 188  | 0.3496          | 0.87     | 0.8721 |
 
 
 ### Framework versions