End of training

README.md

@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0064
-- Accuracy: 0.0017
-- F1: 0.0034
-- Precision: 0.0017
+- Loss: 0.0139
+- Accuracy: 0.0014
+- F1: 0.0027
+- Precision: 0.0014
 - Recall: 1.0
 
 ## Model description
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 172  | 0.0068          | 0.0017   | 0.0034 | 0.0017    | 1.0    |
-| No log        | 2.0   | 344  | 0.0065          | 0.0017   | 0.0034 | 0.0017    | 1.0    |
-| 0.0117        | 3.0   | 516  | 0.0064          | 0.0017   | 0.0034 | 0.0017    | 1.0    |
+| No log        | 1.0   | 172  | 0.0372          | 0.0014   | 0.0027 | 0.0014    | 1.0    |
+| No log        | 2.0   | 344  | 0.0159          | 0.0014   | 0.0027 | 0.0014    | 1.0    |
+| 0.1035        | 3.0   | 516  | 0.0139          | 0.0014   | 0.0027 | 0.0014    | 1.0    |
 
 
 ### Framework versions