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: 0.2325
-- Accuracy: 0.9307
+- Loss: 0.2936
+- Accuracy: 0.9305
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2232        | 1.0   | 1563 | 0.2076          | 0.9195   |
-| 0.1446        | 2.0   | 3126 | 0.2325          | 0.9307   |
+| 0.1201        | 1.0   | 1563 | 0.2819          | 0.9225   |
+| 0.0946        | 2.0   | 3126 | 0.2936          | 0.9305   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54d861b1fbd778ab2195a7a6203f329f3a653b9689f3c29854d32cbc3bfa9954
+oid sha256:08c3830cd3c149e7f2836e70f619c540cc6b84c7bf822a105b4d7e656008de9c
 size 267832560