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-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7080
-- Accuracy: 0.8265
+- Loss: 0.5927
+- Accuracy: 0.8604
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4278        | 1.0   | 2500 | 0.4179          | 0.8233   |
-| 0.3494        | 2.0   | 5000 | 0.4937          | 0.8175   |
-| 0.2352        | 3.0   | 7500 | 0.7080          | 0.8265   |
+| 0.3983        | 1.0   | 2500 | 0.3698          | 0.8481   |
+| 0.3225        | 2.0   | 5000 | 0.3747          | 0.8568   |
+| 0.2199        | 3.0   | 7500 | 0.5927          | 0.8604   |
 
 
 ### Framework versions

model.safetensors

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runs/Apr23_08-26-55_c0f983bc328e/events.out.tfevents.1713860821.c0f983bc328e.34.0

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training_args.bin

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