End of training

README.md

@@ -5,6 +5,7 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
 model-index:
 - name: Misinformation-Covidbert-base-german-cased
  results: []
@@ -17,8 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9992
-- Accuracy: 0.9070
+- Loss: 1.0461
+- Accuracy: {'accuracy': 0.9116279069767442}
+- F1: {'f1': 0.9518987341772153}
 
 ## Model description
 
@@ -47,10 +49,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7707 | 1.0 | 216 | 0.5981 | 0.8419 |
-| 0.8252 | 2.0 | 432 | 0.9992 | 0.9070 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
+| 0.7824 | 1.0 | 216 | 0.5755 | {'accuracy': 0.8325581395348837} | {'f1': 0.9027027027027028} |
+| 0.8006 | 2.0 | 432 | 1.0461 | {'accuracy': 0.9116279069767442} | {'f1': 0.9518987341772153} |
 
 
 ### Framework versions