update model card README.md

README.md

@@ -14,7 +14,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: -1.0673
+- Loss: 0.0507
 
 ## Model description
 
@@ -34,8 +34,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 128
-- eval_batch_size: 256
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -45,16 +45,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 16   | -0.3245         |
-| No log        | 2.0   | 32   | -0.8025         |
-| No log        | 3.0   | 48   | -1.0064         |
-| No log        | 4.0   | 64   | -1.0578         |
-| No log        | 5.0   | 80   | -1.0673         |
+| 0.0525        | 1.0   | 1250 | 0.0482          |
+| 0.037         | 2.0   | 2500 | 0.0445          |
+| 0.0275        | 3.0   | 3750 | 0.0489          |
+| 0.0188        | 4.0   | 5000 | 0.0491          |
+| 0.0146        | 5.0   | 6250 | 0.0507          |
 
 
 ### Framework versions
 
 - Transformers 4.28.1
 - Pytorch 2.0.0+cu118
-- Datasets 2.11.0
 - Tokenizers 0.13.3