update model card README.md

README.md

@@ -1,6 +1,10 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
 model-index:
 - name: biobert-v1.1-BC2GM-IOBES
   results: []
@@ -13,7 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4728
+- Loss: 0.2095
+- Precision: 0.4505
+- Recall: 0.4762
+- F1: 0.4630
 
 ## Model description
 
@@ -32,9 +39,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 1e-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
@@ -42,11 +49,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 4    | 0.5383          |
-| No log        | 2.0   | 8    | 0.4935          |
-| No log        | 3.0   | 12   | 0.4728          |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
+| 0.1812        | 1.0   | 2    | 0.2149          | 0.4706    | 0.4571 | 0.4638 |
+| 0.1812        | 2.0   | 4    | 0.2109          | 0.4519    | 0.4476 | 0.4498 |
+| 0.1812        | 3.0   | 6    | 0.2095          | 0.4505    | 0.4762 | 0.4630 |
 
 
 ### Framework versions