End of training

README.md

@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7646
-- Accuracy: 0.8003
+- Loss: 0.7637
+- Accuracy: 0.8023
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7537        | 1.0   | 2299 | 0.5718          | 0.7780   |
-| 0.3825        | 2.0   | 4598 | 0.5890          | 0.7941   |
-| 0.1474        | 3.0   | 6897 | 0.7646          | 0.8003   |
+| 0.7525        | 1.0   | 2299 | 0.5701          | 0.7790   |
+| 0.377         | 2.0   | 4598 | 0.5740          | 0.7989   |
+| 0.1458        | 3.0   | 6897 | 0.7637          | 0.8023   |
 
 
 ### Framework versions

model.safetensors

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 size 437955572

runs/Jan30_05-56-26_1c34002c2b78/events.out.tfevents.1706594188.1c34002c2b78.27.0

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