update model card README.md

README.md

@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2675
-- Accuracy: 0.968
-- Recall: 0.1562
-- Precision: 0.5
-- F1: 0.2381
-- Mse: 0.032
+- Loss: 0.0637
+- Accuracy: 0.9836
+- Recall: 0.5486
+- Precision: 0.7914
+- F1: 0.6480
+- Mse: 0.0164
 
 ## Model description
 
@@ -43,8 +43,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 128
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     | Mse   |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|
-| 0.1078        | 1.0   | 125  | 0.2461          | 0.969    | 0.0312 | 1.0       | 0.0606 | 0.031 |
-| 0.0258        | 2.0   | 250  | 0.2353          | 0.969    | 0.2188 | 0.5385    | 0.3111 | 0.031 |
-| 0.0011        | 3.0   | 375  | 0.2675          | 0.968    | 0.1562 | 0.5       | 0.2381 | 0.032 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | Precision | F1     | Mse    |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
+| 0.1043        | 1.0   | 3647  | 0.0961          | 0.9792   | 0.3566 | 0.7606    | 0.4856 | 0.0208 |
+| 0.0799        | 2.0   | 7294  | 0.0797          | 0.9803   | 0.4364 | 0.7415    | 0.5495 | 0.0197 |
+| 0.0589        | 3.0   | 10941 | 0.0637          | 0.9836   | 0.5486 | 0.7914    | 0.6480 | 0.0164 |
 
 
 ### Framework versions