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 [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6359
-- Accuracy: 0.6659
+- Loss: 0.6317
+- Accuracy: 0.6616
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6768        | 1.0   | 461  | 0.6486          | 0.6573   |
-| 0.6368        | 2.0   | 922  | 0.6262          | 0.6573   |
-| 0.6025        | 3.0   | 1383 | 0.6314          | 0.6594   |
-| 0.5785        | 4.0   | 1844 | 0.6330          | 0.6573   |
-| 0.5586        | 5.0   | 2305 | 0.6359          | 0.6659   |
+| 0.677         | 1.0   | 461  | 0.6483          | 0.6421   |
+| 0.6339        | 2.0   | 922  | 0.6278          | 0.6551   |
+| 0.597         | 3.0   | 1383 | 0.6300          | 0.6681   |
+| 0.5739        | 4.0   | 1844 | 0.6319          | 0.6638   |
+| 0.5544        | 5.0   | 2305 | 0.6317          | 0.6616   |
 
 
 ### 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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+oid sha256:6ca20defd6318722f7468859ea32ff330087a5fb18b8fde149b91966175aca50
 size 433270768