End of training

README.md

@@ -5,6 +5,7 @@ base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
+- accuracy
 - f1
 model-index:
 - name: bpeo_classifier
@@ -18,8 +19,9 @@ 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: 0.4238
-- F1: 0.8386
+- Loss: 0.4245
+- Accuracy: {'accuracy': 0.8350515463917526}
+- F1: {'f1': 0.828225206444621}
 
 ## Model description
 
@@ -48,10 +50,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 164  | 0.4494          | 0.8219 |
-| No log        | 2.0   | 328  | 0.4238          | 0.8386 |
+| 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}  |
 
 
 ### Framework versions