update model card README.md

README.md

@@ -1,7 +1,5 @@
 ---
-library_name: transformers
 license: apache-2.0
-base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -18,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0814
-- Accuracy: 0.9826
+- Loss: 0.1438
+- Accuracy: 0.9649
 
 ## Model description
 
@@ -42,7 +40,7 @@ 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 2
 
@@ -50,13 +48,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0409        | 1.0   | 689  | 0.1486          | 0.9666   |
-| 0.0055        | 2.0   | 1378 | 0.0814          | 0.9826   |
+| 0.069         | 1.0   | 506  | 0.1066          | 0.9693   |
+| 0.0174        | 2.0   | 1012 | 0.1438          | 0.9649   |
 
 
 ### Framework versions
 
-- Transformers 4.50.0
-- Pytorch 2.6.0+cu124
+- Transformers 4.28.0
+- Pytorch 2.2.1+cu121
 - Datasets 3.4.1
-- Tokenizers 0.21.1
+- Tokenizers 0.13.3