update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- conll2003
 metrics:
 - precision
 - recall
@@ -11,29 +9,7 @@ metrics:
 - accuracy
 model-index:
 - name: bert-finetuned-ner
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: conll2003
-      type: conll2003
-      config: conll2003
-      split: validation
-      args: conll2003
-    metrics:
-    - name: Precision
-      type: precision
-      value: 0.8879620543016029
-    - name: Recall
-      type: recall
-      value: 0.913665432514305
-    - name: F1
-      type: f1
-      value: 0.900630391506304
-    - name: Accuracy
-      type: accuracy
-      value: 0.978060908383243
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-ner
 
-This model is a fine-tuned version of [gaunernst/bert-small-uncased](https://huggingface.co/gaunernst/bert-small-uncased) on the conll2003 dataset.
+This model is a fine-tuned version of [gaunernst/bert-small-uncased](https://huggingface.co/gaunernst/bert-small-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0827
-- Precision: 0.8880
-- Recall: 0.9137
-- F1: 0.9006
-- Accuracy: 0.9781
+- Loss: 1.9493
+- Precision: 0.3696
+- Recall: 0.4043
+- F1: 0.3862
+- Accuracy: 0.4901
 
 ## Model description
 
@@ -78,9 +54,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.123         | 1.0   | 1756 | 0.0906          | 0.8590    | 0.8798 | 0.8693 | 0.9734   |
-| 0.0674        | 2.0   | 3512 | 0.0831          | 0.8768    | 0.9106 | 0.8934 | 0.9770   |
-| 0.0483        | 3.0   | 5268 | 0.0827          | 0.8880    | 0.9137 | 0.9006 | 0.9781   |
+| No log        | 1.0   | 13   | 2.2566          | 0.2658    | 0.3032 | 0.2833 | 0.3663   |
+| No log        | 2.0   | 26   | 2.0199          | 0.3432    | 0.3755 | 0.3586 | 0.4554   |
+| No log        | 3.0   | 39   | 1.9493          | 0.3696    | 0.4043 | 0.3862 | 0.4901   |
 
 
 ### Framework versions