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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1099
-- Accuracy: 0.9653
+- Loss: 0.1649
+- Accuracy: 0.9347
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1981        | 1.0   | 831  | 0.1011          | 0.9650   |
-| 0.0724        | 2.0   | 1662 | 0.1099          | 0.9653   |
+| 0.2215        | 1.0   | 1050 | 0.1727          | 0.9260   |
+| 0.1358        | 2.0   | 2100 | 0.1649          | 0.9347   |
 
 
 ### Framework versions

runs/Mar31_00-32-21_23bf28c87935/events.out.tfevents.1711845142.23bf28c87935.34.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6115
+oid sha256:55389dadc600da7443e4e6355b290496168850b406eb1bcd2f120c784ee28055
+size 6469