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-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0506
-- Accuracy: 0.7892
+- Loss: 1.0405
+- Accuracy: 0.7884
 
 ## Model description
 
@@ -50,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.7556        | 1.0   | 4597  | 0.6125          | 0.7619   |
-| 0.3885        | 2.0   | 9194  | 0.6118          | 0.7869   |
-| 0.139         | 3.0   | 13791 | 1.0506          | 0.7892   |
+| 0.7568        | 1.0   | 4597  | 0.6130          | 0.7669   |
+| 0.3733        | 2.0   | 9194  | 0.6378          | 0.7821   |
+| 0.1469        | 3.0   | 13791 | 1.0405          | 0.7884   |
 
 
 ### Framework versions
 
-- Transformers 4.46.2
-- Pytorch 2.5.1+cu124
+- Transformers 4.47.0
+- Pytorch 2.5.1
 - Datasets 3.1.0
-- Tokenizers 0.20.1
+- Tokenizers 0.21.0

model.safetensors

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runs/Dec09_15-07-41_bogon/events.out.tfevents.1733728063.bogon.89513.2

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