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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6242
-- Accuracy: 0.6377
+- Loss: 0.6338
+- Accuracy: 0.6421
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6811        | 1.0   | 461  | 0.6544          | 0.6182   |
-| 0.6468        | 2.0   | 922  | 0.6315          | 0.6399   |
-| 0.6234        | 3.0   | 1383 | 0.6247          | 0.6399   |
-| 0.6047        | 4.0   | 1844 | 0.6231          | 0.6377   |
-| 0.5938        | 5.0   | 2305 | 0.6242          | 0.6377   |
+| 0.6847        | 1.0   | 461  | 0.6593          | 0.6377   |
+| 0.6479        | 2.0   | 922  | 0.6351          | 0.6334   |
+| 0.621         | 3.0   | 1383 | 0.6317          | 0.6464   |
+| 0.6022        | 4.0   | 1844 | 0.6324          | 0.6464   |
+| 0.5948        | 5.0   | 2305 | 0.6338          | 0.6421   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.0
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
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 size 263144680