End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5271
-- Accuracy: 0.2258
-- F1: 0.2258
+- Loss: 0.9793
+- Accuracy: 0.3548
+- F1: 0.3548
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 8    | 1.6746          | 0.2581   | 0.2581 |
-| No log        | 2.0   | 16   | 1.5271          | 0.2258   | 0.2258 |
+| No log        | 1.0   | 8    | 1.0240          | 0.3548   | 0.3548 |
+| No log        | 2.0   | 16   | 0.9793          | 0.3548   | 0.3548 |
 
 
 ### Framework versions