Update README.md

README.md

@@ -1,70 +1,21 @@
 ---
 license: apache-2.0
 tags:
-- generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
-model-index:
-- name: macbert-finetuned-ner-drugname
-  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. -->
+- Token Classification
+language:
+- zh
 
-# macbert-finetuned-ner-drugname
+---
 
-This model is a fine-tuned version of [shibing624/macbert4csc-base-chinese](https://huggingface.co/shibing624/macbert4csc-base-chinese) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0195
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.9971
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
+## Intended use
 
 More information needed
 
 ## Training and evaluation data
 
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 8.0
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step   | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:------:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.0083        | 1.0   | 15362  | 0.0108          | 0.0       | 0.0    | 0.0 | 0.9964   |
-| 0.0053        | 2.0   | 30724  | 0.0116          | 0.0       | 0.0    | 0.0 | 0.9963   |
-| 0.0037        | 3.0   | 46086  | 0.0091          | 0.0       | 0.0    | 0.0 | 0.9977   |
-| 0.0022        | 4.0   | 61448  | 0.0112          | 0.0       | 0.0    | 0.0 | 0.9975   |
-| 0.0017        | 5.0   | 76810  | 0.0150          | 0.0       | 0.0    | 0.0 | 0.9970   |
-| 0.0008        | 6.0   | 92172  | 0.0175          | 0.0       | 0.0    | 0.0 | 0.9971   |
-| 0.0005        | 7.0   | 107534 | 0.0172          | 0.0       | 0.0    | 0.0 | 0.9971   |
-| 0.0002        | 8.0   | 122896 | 0.0195          | 0.0       | 0.0    | 0.0 | 0.9971   |
-
-
 ### Framework versions
 
 - Transformers 4.15.0