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: 1.0405
-- Accuracy: 0.7884
+- Loss: 1.0085
+- Accuracy: 0.7879
 
 ## Model description
 
@@ -45,19 +45,20 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 3
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 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   |
+| 0.7644        | 1.0   | 4597  | 0.6207          | 0.7578   |
+| 0.3848        | 2.0   | 9194  | 0.6225          | 0.7847   |
+| 0.1506        | 3.0   | 13791 | 1.0085          | 0.7879   |
 
 
 ### Framework versions
 
 - Transformers 4.47.0
-- Pytorch 2.5.1
-- Datasets 3.1.0
+- Pytorch 2.5.1+cu124
+- Datasets 2.21.0
 - Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
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 size 437955572