update model card README.md

README.md

@@ -2,36 +2,9 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- wnut_17
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: distilbert-base-uncased-finetuned-ner
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: wnut_17
-      type: wnut_17
-      args: wnut_17
-    metrics:
-    - name: Precision
-      type: precision
-      value: 0.6160388821385177
-    - name: Recall
-      type: recall
-      value: 0.4030206677265501
-    - name: F1
-      type: f1
-      value: 0.48726573762614134
-    - name: Accuracy
-      type: accuracy
-      value: 0.9304966165844707
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -39,13 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-ner
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3316
-- Precision: 0.6160
-- Recall: 0.4030
-- F1: 0.4873
-- Accuracy: 0.9305
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 
 ## Model description
 
@@ -72,15 +39,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.3407          | 0.6220    | 0.3323 | 0.4332 | 0.9229   |
-| No log        | 2.0   | 426  | 0.3272          | 0.6288    | 0.3824 | 0.4755 | 0.9288   |
-| 0.1779        | 3.0   | 639  | 0.3316          | 0.6160    | 0.4030 | 0.4873 | 0.9305   |
-
-
 ### Framework versions
 
 - Transformers 4.18.0