End of training

README.md

@@ -3,7 +3,7 @@ base_model: ProsusAI/finbert
 tags:
 - generated_from_trainer
 metrics:
-- accuracy
+- f1
 model-index:
 - name: IntangibleBERT2
   results: []
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0321
-- Accuracy: 0.9944
+- Loss: 0.0178
+- F1: 0.9966
 
 ## Model description
 
@@ -46,10 +46,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 443  | 0.0479          | 0.9898   |
-| 0.0871        | 2.0   | 886  | 0.0321          | 0.9944   |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 443  | 0.0194          | 0.9966 |
+| 0.0867        | 2.0   | 886  | 0.0178          | 0.9966 |
 
 
 ### Framework versions