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: 4.1022
-- Accuracy: 0.1436
+- Loss: 3.7867
+- Accuracy: 0.1867
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.538         | 1.0   | 1512 | 3.8483          | 0.1888   |
-| 3.5217        | 2.0   | 3024 | 3.8239          | 0.1826   |
-| 3.3275        | 3.0   | 4536 | 3.9307          | 0.1709   |
-| 3.213         | 4.0   | 6048 | 4.0116          | 0.1476   |
-| 3.0955        | 5.0   | 7560 | 4.1022          | 0.1436   |
+| 3.732         | 1.0   | 1512 | 3.7987          | 0.1886   |
+| 3.6107        | 2.0   | 3024 | 3.7857          | 0.1886   |
+| 3.6259        | 3.0   | 4536 | 3.7956          | 0.1886   |
+| 3.6123        | 4.0   | 6048 | 3.7843          | 0.1878   |
+| 3.6523        | 5.0   | 7560 | 3.7867          | 0.1867   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ba290bfd8ca46f9419b217604311092c96f4fcdec9a22cf1bb92d70c2f92a1c8
 size 268137100