update model card README.md

README.md

@@ -2,11 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: bert-finetuned-ner
   results: []
@@ -18,12 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-finetuned-ner
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2683
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.9493
 
 ## Model description
 
@@ -48,19 +37,11 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 42   | 0.2696          | 0.0       | 0.0    | 0.0 | 0.9493   |
-| No log        | 2.0   | 84   | 0.2683          | 0.0       | 0.0    | 0.0 | 0.9493   |
-
+- num_epochs: 5
 
 ### Framework versions
 
 - Transformers 4.26.1
 - Pytorch 1.13.1+cu116
-- Datasets 2.9.0
+- Datasets 2.10.0
 - Tokenizers 0.13.2