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 [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2464
-- Accuracy: 0.925
-- F1: 0.9496
+- Loss: 0.2816
+- Accuracy: 0.9196
+- F1: 0.9437
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 190  | 0.2784          | 0.9125   | 0.9412 |
-| No log        | 2.0   | 380  | 0.2370          | 0.9313   | 0.9536 |
-| 0.3907        | 3.0   | 570  | 0.2328          | 0.925    | 0.9500 |
-| 0.3907        | 4.0   | 760  | 0.2659          | 0.925    | 0.9504 |
-| 0.3907        | 5.0   | 950  | 0.2464          | 0.925    | 0.9496 |
+| 0.4227        | 1.0   | 574  | 0.2411          | 0.9108   | 0.9390 |
+| 0.2574        | 2.0   | 1148 | 0.2203          | 0.9196   | 0.9434 |
+| 0.2273        | 3.0   | 1722 | 0.2734          | 0.9098   | 0.9358 |
+| 0.2048        | 4.0   | 2296 | 0.2758          | 0.9186   | 0.9431 |
+| 0.1746        | 5.0   | 2870 | 0.2816          | 0.9196   | 0.9437 |
 
 
 ### Framework versions

runs/Jul24_02-23-34_171e6dbaefe5/events.out.tfevents.1721787844.171e6dbaefe5.577.2

@@ -1,3 +1,3 @@
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+size 8200