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: 0.5248
-- Accuracy: 0.7967
+- Loss: 0.7528
+- Accuracy: 0.7
 
 ## Model description
 
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 1
 
@@ -50,12 +50,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6974        | 1.0   | 4597 | 0.5248          | 0.7967   |
+| 0.9095        | 1.0   | 563  | 0.7528          | 0.7      |
 
 
 ### Framework versions
 
 - Transformers 4.54.0
-- Pytorch 2.6.0+cu124
+- Pytorch 2.10.0+cu128
 - Datasets 4.0.0
-- Tokenizers 0.21.2
+- Tokenizers 0.21.4