End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bobbyw/deberta-v3-large_v1_no_entities_with_context](https://huggingface.co/bobbyw/deberta-v3-large_v1_no_entities_with_context) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0257
+- Loss: 0.0259
 - Accuracy: 0.0045
 - F1: 0.0090
 - Precision: 0.0045
@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
-| 0.0323        | 1.0   | 540  | 0.0261          | 0.0045   | 0.0090 | 0.0045    | 1.0    | 0.0002 |
-| 0.0306        | 2.0   | 1080 | 0.0263          | 0.0045   | 0.0090 | 0.0045    | 1.0    | 0.0001 |
-| 0.0318        | 3.0   | 1620 | 0.0258          | 0.0045   | 0.0090 | 0.0045    | 1.0    | 5e-05  |
-| 0.0301        | 4.0   | 2160 | 0.0257          | 0.0045   | 0.0090 | 0.0045    | 1.0    | 0.0    |
+| 0.0312        | 1.0   | 540  | 0.0264          | 0.0045   | 0.0090 | 0.0045    | 1.0    | 0.0002 |
+| 0.0302        | 2.0   | 1080 | 0.0266          | 0.0045   | 0.0090 | 0.0045    | 1.0    | 0.0001 |
+| 0.0315        | 3.0   | 1620 | 0.0259          | 0.0045   | 0.0090 | 0.0045    | 1.0    | 5e-05  |
+| 0.03          | 4.0   | 2160 | 0.0259          | 0.0045   | 0.0090 | 0.0045    | 1.0    | 0.0    |
 
 
 ### Framework versions