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-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0410
-- Accuracy: 0.9909
+- Loss: 0.0366
+- Accuracy: 0.9915
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0446        | 1.0   | 3125 | 0.0387          | 0.9901   |
-| 0.0157        | 2.0   | 6250 | 0.0410          | 0.9909   |
+| 0.0499        | 1.0   | 3125 | 0.0362          | 0.99     |
+| 0.0179        | 2.0   | 6250 | 0.0366          | 0.9915   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:52acbcfd13965d4f44b0d45fcc0261b3c1872de7c00e1ff14328300eb3f71ca9
 size 267835644