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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5972
-- Accuracy: 0.7333
+- Loss: 0.6057
+- Accuracy: 0.7
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 15   | 0.6041          | 0.7333   |
-| No log        | 2.0   | 30   | 0.5972          | 0.7333   |
+| No log        | 1.0   | 15   | 0.6177          | 0.7      |
+| No log        | 2.0   | 30   | 0.6057          | 0.7      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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runs/Jul08_12-39-46_a7e0bd61e1f4/events.out.tfevents.1720442422.a7e0bd61e1f4.1518.0

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