End of training

README.md

@@ -5,7 +5,7 @@ base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
-- accuracy
+- f1
 model-index:
 - name: bpeo_classifier
   results: []
@@ -18,8 +18,8 @@ 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: 0.8351
+- Loss: 0.4238
+- F1: 0.8386
 
 ## Model description
 
@@ -48,10 +48,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 164  | 0.4560          | 0.8179   |
-| No log        | 2.0   | 328  | 0.4245          | 0.8351   |
+| 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 |
 
 
 ### Framework versions