End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2882
-- F1: 0.9313
+- Loss: 1.8784
+- F1: 0.2821
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.4263        | 1.0   | 858  | 0.6262          | 0.7950 |
-| 0.441         | 2.0   | 1716 | 0.3486          | 0.8907 |
-| 0.2177        | 3.0   | 2574 | 0.3404          | 0.9014 |
-| 0.1635        | 4.0   | 3432 | 0.2860          | 0.9276 |
-| 0.1014        | 5.0   | 4290 | 0.2882          | 0.9313 |
+| No log        | 1.0   | 25   | 2.0445          | 0.1074 |
+| No log        | 2.0   | 50   | 1.9985          | 0.1987 |
+| No log        | 3.0   | 75   | 1.9280          | 0.2290 |
+| No log        | 4.0   | 100  | 1.8904          | 0.2655 |
+| No log        | 5.0   | 125  | 1.8784          | 0.2821 |
 
 
 ### Framework versions