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: 0.5887
-- Accuracy: 0.761
+- Loss: 0.5882
+- Accuracy: 0.7805
 
 ## Model description
 
@@ -49,10 +49,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7314        | 0.5   | 500  | 0.6828          | 0.727    |
-| 0.639         | 1.0   | 1000 | 0.5887          | 0.761    |
-| 0.4917        | 1.5   | 1500 | 0.6238          | 0.771    |
-| 0.4641        | 2.0   | 2000 | 0.6027          | 0.774    |
+| 0.7323        | 0.5   | 500  | 0.6435          | 0.7375   |
+| 0.6303        | 1.0   | 1000 | 0.5711          | 0.768    |
+| 0.4719        | 1.5   | 1500 | 0.6429          | 0.7735   |
+| 0.4581        | 2.0   | 2000 | 0.5882          | 0.7805   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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runs/Nov12_20-08-13_49c8b2f0c365/events.out.tfevents.1699819736.49c8b2f0c365.196.0

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