End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6793
+- Loss: 0.6928
 - Accuracy: 0.6
 
 ## Model description
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 2    | 0.6505          | 0.6      |
-| No log        | 2.0   | 4    | 0.6613          | 0.6      |
-| No log        | 3.0   | 6    | 0.6793          | 0.6      |
+| No log        | 1.0   | 2    | 0.6862          | 0.6      |
+| No log        | 2.0   | 4    | 0.6924          | 0.6      |
+| No log        | 3.0   | 6    | 0.6928          | 0.6      |
 
 
 ### Framework versions

model.safetensors

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runs/Apr05_04-34-24_f7eff008e2ca/events.out.tfevents.1712291676.f7eff008e2ca.34.2

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training_args.bin

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