update model card README.md

README.md

@@ -1,4 +1,5 @@
 ---
+license: apache-2.0
 tags:
 - generated_from_trainer
 metrics:
@@ -16,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # medlid-identify
 
-This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1617
-- Precision: 0.4085
-- Recall: 0.4551
-- F1: 0.4305
-- Accuracy: 0.9452
+- Loss: 0.1708
+- Precision: 0.3912
+- Recall: 0.4603
+- F1: 0.4229
+- Accuracy: 0.9463
 
 ## Model description
 
@@ -53,10 +54,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 381  | 0.1447          | 0.3867    | 0.2215 | 0.2817 | 0.9440   |
-| 0.1714        | 2.0   | 762  | 0.1410          | 0.3937    | 0.4513 | 0.4206 | 0.9457   |
-| 0.107         | 3.0   | 1143 | 0.1487          | 0.4061    | 0.4347 | 0.4199 | 0.9456   |
-| 0.0702        | 4.0   | 1524 | 0.1617          | 0.4085    | 0.4551 | 0.4305 | 0.9452   |
+| No log        | 1.0   | 381  | 0.1567          | 0.2689    | 0.3180 | 0.2914 | 0.9377   |
+| 0.1618        | 2.0   | 762  | 0.1399          | 0.4016    | 0.3847 | 0.3930 | 0.9492   |
+| 0.0978        | 3.0   | 1143 | 0.1505          | 0.3773    | 0.4239 | 0.3993 | 0.9468   |
+| 0.0636        | 4.0   | 1524 | 0.1708          | 0.3912    | 0.4603 | 0.4229 | 0.9463   |
 
 
 ### Framework versions