update model card README.md

README.md

@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-dutch-cased-finetuned-NER
 
-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.
+This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0950
-- Precision: 0.6837
-- Recall: 0.7427
-- F1: 0.7120
-- Accuracy: 0.9746
+- Loss: 0.1078
+- Precision: 0.6129
+- Recall: 0.6639
+- F1: 0.6374
+- Accuracy: 0.9688
 
 ## Model description
 
@@ -53,12 +53,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1624        | 1.0   | 533  | 0.1001          | 0.6452    | 0.6617 | 0.6533 | 0.9706   |
-| 0.0894        | 2.0   | 1066 | 0.0950          | 0.6837    | 0.7427 | 0.7120 | 0.9746   |
+| No log        | 1.0   | 267  | 0.1131          | 0.6090    | 0.6264 | 0.6176 | 0.9678   |
+| 0.1495        | 2.0   | 534  | 0.1078          | 0.6129    | 0.6639 | 0.6374 | 0.9688   |
 
 
 ### Framework versions
 
-- Transformers 4.12.3
+- Transformers 4.12.5
 - Pytorch 1.10.0+cu111
+- Datasets 1.16.1
 - Tokenizers 0.10.3