update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
       name: ner
       type: ner
       config: indian_names
-      split: train
+      split: test
       args: indian_names
     metrics:
     - name: Precision
@@ -41,7 +41,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_wnut_model
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ner dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the ner dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0000
 - Precision: 1.0
@@ -78,11 +78,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 344  | 0.0008          | 0.9995    | 0.9994 | 0.9994 | 0.9997   |
-| 0.0027        | 2.0   | 688  | 0.0008          | 0.9994    | 0.9993 | 0.9994 | 0.9996   |
-| 0.0016        | 3.0   | 1032 | 0.0001          | 1.0000    | 0.9999 | 0.9999 | 1.0000   |
-| 0.0016        | 4.0   | 1376 | 0.0000          | 1.0000    | 1.0000 | 1.0000 | 1.0000   |
-| 0.0003        | 5.0   | 1720 | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 1.0   | 313  | 0.0002          | 1.0000    | 1.0000 | 1.0000 | 1.0000   |
+| 0.0093        | 2.0   | 626  | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.0093        | 3.0   | 939  | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.0           | 4.0   | 1252 | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.0001        | 5.0   | 1565 | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
 
 
 ### Framework versions