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 QNLI
+      name: glue
       type: glue
       config: qnli
       split: validation
@@ -22,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4946000366099213
+      value: 0.5086948563060589
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hBERTv2_new_pretrain_qnli
 
-This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new) on the GLUE QNLI dataset.
+This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7446
-- Accuracy: 0.4946
+- Loss: 0.6930
+- Accuracy: 0.5087
 
 ## Model description
 
@@ -52,7 +50,7 @@ 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
@@ -65,15 +63,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 9.3816        | 1.0   | 819  | 0.8747          | 0.4946   |
-| 9.2855        | 2.0   | 1638 | 0.8931          | 0.4946   |
-| 9.3355        | 3.0   | 2457 | 0.7447          | 0.4946   |
-| 9.3249        | 4.0   | 3276 | 0.7446          | 0.4946   |
-| 9.2866        | 5.0   | 4095 | 0.9299          | 0.5054   |
-| 9.5308        | 6.0   | 4914 | 4.2012          | 0.4946   |
-| 9.1933        | 7.0   | 5733 | 1.3372          | 0.4946   |
-| 32.7671       | 8.0   | 6552 | 18.0674         | 0.4946   |
-| 6.8935        | 9.0   | 7371 | 1.6547          | 0.4946   |
+| 0.6921        | 1.0   | 819  | 0.6903          | 0.5050   |
+| 0.6906        | 2.0   | 1638 | 0.6870          | 0.5502   |
+| 0.6889        | 3.0   | 2457 | 0.6924          | 0.5232   |
+| 0.6932        | 4.0   | 3276 | 0.6916          | 0.5261   |
+| 0.6927        | 5.0   | 4095 | 0.6920          | 0.5314   |
+| 0.6918        | 6.0   | 4914 | 0.6897          | 0.5297   |
+| 0.6927        | 7.0   | 5733 | 0.6930          | 0.5087   |
 
 
 ### Framework versions