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-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6331
-- Accuracy: 0.68
+- Loss: 0.3162
+- Accuracy: 0.8933
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 57   | 0.7102          | 0.62     |
-| No log        | 2.0   | 114  | 0.6331          | 0.68     |
+| No log        | 1.0   | 57   | 0.3976          | 0.86     |
+| No log        | 2.0   | 114  | 0.3162          | 0.8933   |
 
 
 ### Framework versions

runs/Jul10_09-44-12_lenny.local/events.out.tfevents.1720597454.lenny.local.30439.0

@@ -1,3 +1,3 @@
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+oid sha256:1d04d6df6af0cbaefa44199ec0fe52283111be16a3f06a9b4f27086e101fbc3c
+size 5867