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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2340
-- Accuracy: 0.9308
+- Loss: 0.0301
+- Accuracy: 0.9928
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2124        | 1.0   | 1563 | 0.2021          | 0.9231   |
-| 0.1368        | 2.0   | 3126 | 0.2340          | 0.9308   |
+| 0.0994        | 1.0   | 279  | 0.0406          | 0.9892   |
+| 0.0298        | 2.0   | 558  | 0.0301          | 0.9928   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f5174e9acef35f020574c22c5e12bacc5b02b07f694051159e51c0e38120af4e
 size 267832560