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: 0.6536
-- Accuracy: 0.9437
+- Loss: 0.2213
+- Accuracy: 1.0
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 15   | 0.8108          | 0.8187   |
-| No log        | 2.0   | 30   | 0.6536          | 0.9437   |
+| No log        | 1.0   | 15   | 0.3321          | 1.0      |
+| No log        | 2.0   | 30   | 0.2213          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4d3c56310872252b657fac897d88a0d8bd4b287f21cf34b00ff9d57deb832f24
 size 267835644