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 [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8903
-- Accuracy: 0.501
+- Loss: 0.7057
+- Accuracy: 0.5144
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 0.7040          | 0.498    |
-| No log        | 2.0   | 250  | 0.7355          | 0.49     |
-| No log        | 3.0   | 375  | 0.8903          | 0.501    |
+| 0.703         | 1.0   | 625  | 0.6963          | 0.5062   |
+| 0.7034        | 2.0   | 1250 | 0.6919          | 0.5236   |
+| 0.6978        | 3.0   | 1875 | 0.7057          | 0.5144   |
 
 
 ### Framework versions

model.safetensors

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runs/Mar11_04-53-48_e9babf693bd0/events.out.tfevents.1710132828.e9babf693bd0.7526.0

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