End of training

README.md

@@ -1,9 +1,10 @@
 ---
-base_model: ProsusAI/finbert
+license: apache-2.0
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
-- accuracy
+- f1
 model-index:
 - name: regbert
   results: []
@@ -14,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # regbert
 
-This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on the None dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5787
-- Accuracy: 0.7333
+- Loss: 0.4872
+- F1: 0.7304
 
 ## Model description
 
@@ -46,10 +47,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 15   | 0.5785          | 0.7333   |
-| No log        | 2.0   | 30   | 0.5787          | 0.7333   |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 15   | 0.5596          | 0.4912 |
+| No log        | 2.0   | 30   | 0.4872          | 0.7304 |
 
 
 ### Framework versions