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 [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4673
-- Accuracy: 0.791
+- Loss: 0.4765
+- Accuracy: 0.8145
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 0.4809          | 0.743    |
-| No log        | 2.0   | 250  | 0.4549          | 0.774    |
-| No log        | 3.0   | 375  | 0.4673          | 0.791    |
+| No log        | 1.0   | 250  | 0.4207          | 0.802    |
+| 0.3976        | 2.0   | 500  | 0.4387          | 0.818    |
+| 0.3976        | 3.0   | 750  | 0.4765          | 0.8145   |
 
 
 ### Framework versions

model.safetensors

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 size 433270768

runs/Dec17_09-57-15_4f3e1c935f28/events.out.tfevents.1734429436.4f3e1c935f28.23600.0

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 version https://git-lfs.github.com/spec/v1
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