End of training

README.md

@@ -18,7 +18,7 @@ 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: 0.2391
+- Loss: 0.2364
 - Accuracy: 0.9320
 
 ## Model description
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2206        | 1.0   | 1563 | 0.2195          | 0.9131   |
-| 0.1479        | 2.0   | 3126 | 0.2391          | 0.9320   |
+| 0.2198        | 1.0   | 1563 | 0.2187          | 0.9146   |
+| 0.1455        | 2.0   | 3126 | 0.2364          | 0.9320   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:93d27d5e0b46eedacbaa0940e4dede51f046ef7584c057b7b87e476c19b64e11
 size 267832560