End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.2228
-- Accuracy: 0.9549
+- Loss: 0.2359
+- Accuracy: 0.9552
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0468        | 1.0   | 1076 | 0.2222          | 0.9529   |
-| 0.0261        | 2.0   | 2152 | 0.2228          | 0.9549   |
+| 0.0268        | 1.0   | 1076 | 0.2741          | 0.9498   |
+| 0.0293        | 2.0   | 2152 | 0.2359          | 0.9552   |
 
 
 ### Framework versions

runs/Sep05_02-56-40_20b5c826f87c/events.out.tfevents.1725505001.20b5c826f87c.1797.3

@@ -1,3 +1,3 @@
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-size 6179
+oid sha256:8a54e9df3a9e008bbf27fb11baa81d97aac5a28304b61c1e980b39694393b6be
+size 6856