update model card README.md

README.md

@@ -8,22 +8,22 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: ckiplab-bert-base-chinese-david-ner
+- name: ckiplab-bert-chinese-david-ner
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# ckiplab-bert-base-chinese-david-ner
+# ckiplab-bert-chinese-david-ner
 
 This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2052
-- Precision: 0.8271
-- Recall: 0.8414
-- F1: 0.8342
-- Accuracy: 0.9455
+- Loss: 0.2218
+- Precision: 0.8209
+- Recall: 0.8379
+- F1: 0.8294
+- Accuracy: 0.9452
 
 ## Model description
 
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1484        | 1.4   | 500  | 0.2071          | 0.7739    | 0.8379 | 0.8046 | 0.9399   |
-| 0.0708        | 2.8   | 1000 | 0.2052          | 0.8271    | 0.8414 | 0.8342 | 0.9455   |
+| 0.2628        | 1.4   | 500  | 0.2450          | 0.8287    | 0.8172 | 0.8229 | 0.9390   |
+| 0.0773        | 2.8   | 1000 | 0.2218          | 0.8209    | 0.8379 | 0.8294 | 0.9452   |
 
 
 ### Framework versions