update model card README.md

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- en
 tags:
 - generated_from_trainer
 datasets:
@@ -14,7 +12,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: GLUE STSB
+      name: glue
       type: glue
       config: stsb
       split: validation
@@ -22,7 +20,7 @@ model-index:
     metrics:
     - name: Spearmanr
       type: spearmanr
-      value: .nan
+      value: 0.3601190242350477
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,12 +28,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hBERTv1_new_pretrain_stsb
 
-This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new) on the GLUE STSB dataset.
+This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 11480.3916
-- Pearson: nan
-- Spearmanr: nan
-- Combined Score: nan
+- Loss: 2.6668
+- Pearson: 0.3626
+- Spearmanr: 0.3601
+- Combined Score: 0.3614
 
 ## Model description
 
@@ -54,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
+- learning_rate: 4e-05
 - train_batch_size: 128
 - eval_batch_size: 128
 - seed: 10
@@ -67,12 +65,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
-| 11870.5542    | 1.0   | 45   | 11480.3916      | nan     | nan       | nan            |
-| 11864.3806    | 2.0   | 90   | 11480.3916      | nan     | nan       | nan            |
-| 11929.5181    | 3.0   | 135  | 11480.3916      | nan     | nan       | nan            |
-| 11830.7097    | 4.0   | 180  | 11480.3916      | nan     | nan       | nan            |
-| 11918.4542    | 5.0   | 225  | 11480.3916      | nan     | nan       | nan            |
-| 11798.3167    | 6.0   | 270  | 11480.3916      | nan     | nan       | nan            |
+| 2.2918        | 1.0   | 45   | 2.6098          | 0.1233  | 0.1129    | 0.1181         |
+| 1.9907        | 2.0   | 90   | 2.4074          | 0.2000  | 0.1874    | 0.1937         |
+| 1.6996        | 3.0   | 135  | 2.2275          | 0.2386  | 0.2477    | 0.2431         |
+| 1.4403        | 4.0   | 180  | 2.5775          | 0.3060  | 0.3062    | 0.3061         |
+| 1.1707        | 5.0   | 225  | 2.3220          | 0.3500  | 0.3356    | 0.3428         |
+| 0.8313        | 6.0   | 270  | 2.4218          | 0.3881  | 0.3929    | 0.3905         |
+| 0.6374        | 7.0   | 315  | 2.2601          | 0.3980  | 0.3955    | 0.3967         |
+| 0.5371        | 8.0   | 360  | 2.6668          | 0.3626  | 0.3601    | 0.3614         |
 
 
 ### Framework versions