End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.844167610419026
+      value: 0.9163073304586437
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9918
-- Accuracy: 0.8442
+- Loss: 0.4014
+- Accuracy: 0.9163
 
 ## Model description
 
@@ -62,11 +62,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5456        | 1.0   | 3255 | 0.7278          | 0.8310   |
-| 0.3173        | 2.0   | 6510 | 0.7899          | 0.8519   |
-| 0.2159        | 3.0   | 9765 | 0.9918          | 0.8442   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4772        | 1.0   | 3347  | 0.7204          | 0.8532   |
+| 0.3896        | 2.0   | 6694  | 0.4502          | 0.8944   |
+| 0.2344        | 3.0   | 10041 | 0.4014          | 0.9163   |
 
 
 ### Framework versions