update model card README.md

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5844
+- Loss: 0.6613
 - Compute Metrics: :
-- Accuracy: 0.8
-- Balanced Accuracy: 0.5
-- F1 Score: 0.8889
-- Recall: 1.0
-- Precision: 0.8
+- Accuracy: 0.6
+- Balanced Accuracy: 0.75
+- F1 Score: 0.6667
+- Recall: 0.5
+- Precision: 1.0
 
 ## Model description
 
@@ -44,8 +44,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 1
-- eval_batch_size: 1
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Compute Metrics | Accuracy | Balanced Accuracy | F1 Score | Recall | Precision |
 |:-------------:|:-----:|:----:|:---------------:|:---------------:|:--------:|:-----------------:|:--------:|:------:|:---------:|
-| 0.5206        | 1.0   | 5    | 0.6186          | :               | 0.8      | 0.5               | 0.8889   | 1.0    | 0.8       |
-| 0.5586        | 2.0   | 10   | 0.5844          | :               | 0.8      | 0.5               | 0.8889   | 1.0    | 0.8       |
+| 1.0626        | 1.0   | 3    | 0.6567          | :               | 0.8      | 0.5               | 0.8889   | 1.0    | 0.8       |
+| 0.7417        | 2.0   | 6    | 0.6613          | :               | 0.6      | 0.75              | 0.6667   | 0.5    | 1.0       |
 
 
 ### Framework versions