End of training

README.md

@@ -7,6 +7,8 @@ tags:
 metrics:
 - accuracy
 - f1
+- precision
+- recall
 model-index:
 - name: bpeo_classifier
   results: []
@@ -19,9 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4245
-- Accuracy: {'accuracy': 0.8350515463917526}
-- F1: {'f1': 0.828225206444621}
+- Loss: 0.4238
+- Accuracy: 0.8454
+- F1: 0.8386
+- Precision: 0.8510
+- Recall: 0.8454
 
 ## Model description
 
@@ -50,10 +54,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1                         |
-|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
-| No log        | 1.0   | 164  | 0.4560          | {'accuracy': 0.8178694158075601} | {'f1': 0.8016096579852476} |
-| No log        | 2.0   | 328  | 0.4245          | {'accuracy': 0.8350515463917526} | {'f1': 0.828225206444621}  |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 164  | 0.4494          | 0.8316   | 0.8219 | 0.8365    | 0.8316 |
+| No log        | 2.0   | 328  | 0.4238          | 0.8454   | 0.8386 | 0.8510    | 0.8454 |
 
 
 ### Framework versions