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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6267
-- Accuracy: 0.6334
+- Loss: 0.6242
+- Accuracy: 0.6377
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6813        | 1.0   | 461  | 0.6556          | 0.6356   |
-| 0.6464        | 2.0   | 922  | 0.6312          | 0.6247   |
-| 0.6219        | 3.0   | 1383 | 0.6261          | 0.6377   |
-| 0.602         | 4.0   | 1844 | 0.6251          | 0.6421   |
-| 0.5934        | 5.0   | 2305 | 0.6267          | 0.6334   |
+| 0.6811        | 1.0   | 461  | 0.6544          | 0.6182   |
+| 0.6468        | 2.0   | 922  | 0.6315          | 0.6399   |
+| 0.6234        | 3.0   | 1383 | 0.6247          | 0.6399   |
+| 0.6047        | 4.0   | 1844 | 0.6231          | 0.6377   |
+| 0.5938        | 5.0   | 2305 | 0.6242          | 0.6377   |
 
 
 ### Framework versions

runs/Apr17_22-26-48_b7d37f8d5afb/events.out.tfevents.1713392810.b7d37f8d5afb.489.0

@@ -1,3 +1,3 @@
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+size 7966