End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: mit
 base_model: microsoft/deberta-v3-base
 tags:
@@ -17,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5197
-- Accuracy: 0.9176
+- Loss: 0.4593
+- Accuracy: 0.9130
 
 ## Model description
 
@@ -49,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3419        | 1.0   | 574  | 0.2332          | 0.9157   |
-| 0.2018        | 2.0   | 1148 | 0.2548          | 0.8990   |
-| 0.1382        | 3.0   | 1722 | 0.3566          | 0.9186   |
-| 0.0986        | 4.0   | 2296 | 0.4599          | 0.9196   |
-| 0.0547        | 5.0   | 2870 | 0.5197          | 0.9176   |
+| No log        | 1.0   | 427  | 0.2632          | 0.8933   |
+| 0.3689        | 2.0   | 854  | 0.2377          | 0.9196   |
+| 0.2019        | 3.0   | 1281 | 0.2978          | 0.9117   |
+| 0.1298        | 4.0   | 1708 | 0.4182          | 0.9144   |
+| 0.076         | 5.0   | 2135 | 0.4593          | 0.9130   |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
+- Transformers 4.44.2
 - Pytorch 2.4.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Sep05_07-16-30_4ee73e874015/events.out.tfevents.1725520640.4ee73e874015.350.0

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