update model card README.md

README.md

@@ -1,5 +1,4 @@
 ---
-license: mit
 tags:
 - generated_from_trainer
 metrics:
@@ -17,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # medlid-identify
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+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.
 It achieves the following results on the evaluation set:
-- Loss: 0.1248
-- Precision: 0.4410
-- Recall: 0.4209
-- F1: 0.4307
-- Accuracy: 0.9541
+- Loss: 0.1617
+- Precision: 0.4085
+- Recall: 0.4551
+- F1: 0.4305
+- Accuracy: 0.9452
 
 ## Model description
 
@@ -54,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 381  | 0.1297          | 0.3898    | 0.3032 | 0.3411 | 0.9525   |
-| 0.1774        | 2.0   | 762  | 0.1191          | 0.4485    | 0.3489 | 0.3925 | 0.9551   |
-| 0.1177        | 3.0   | 1143 | 0.1216          | 0.4341    | 0.4209 | 0.4274 | 0.9544   |
-| 0.0974        | 4.0   | 1524 | 0.1248          | 0.4410    | 0.4209 | 0.4307 | 0.9541   |
+| 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   |
 
 
 ### Framework versions