End of training

README.md

@@ -17,7 +17,7 @@ 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: 0.6338
+- Loss: 0.6381
 - Accuracy: 0.6421
 
 ## Model description
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| 0.683         | 1.0   | 461  | 0.6589          | 0.6030   |
+| 0.6441        | 2.0   | 922  | 0.6351          | 0.6356   |
+| 0.6179        | 3.0   | 1383 | 0.6339          | 0.6291   |
+| 0.6011        | 4.0   | 1844 | 0.6351          | 0.6399   |
+| 0.5897        | 5.0   | 2305 | 0.6381          | 0.6421   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cda22bcaa0219054ae49677812b7120692d04144f2f9cb1a64ae1bfc6a61b0d5
+oid sha256:573594f0ac6d3c4367d3d6a9a26ef2fae3974c64e269086f848826dab488e981
 size 263144680