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 WNLI
+      name: glue
       type: glue
       config: wnli
       split: validation
@@ -22,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.43661971830985913
+      value: 0.4647887323943662
 ---
 
 <!-- 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. -->
 
 # hBERTv1_new_pretrain_wnli
 
-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 WNLI 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: 30.1901
-- Accuracy: 0.4366
+- Loss: 0.6922
+- Accuracy: 0.4648
 
 ## 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
@@ -65,12 +63,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 29.5316       | 1.0   | 5    | 30.1901         | 0.4366   |
-| 29.2255       | 2.0   | 10   | 30.1901         | 0.4366   |
-| 28.1924       | 3.0   | 15   | 30.1901         | 0.4366   |
-| 30.1423       | 4.0   | 20   | 30.1901         | 0.4366   |
-| 29.1643       | 5.0   | 25   | 30.1901         | 0.4366   |
-| 29.6169       | 6.0   | 30   | 30.1901         | 0.4366   |
+| 0.8538        | 1.0   | 5    | 0.6975          | 0.4366   |
+| 0.7194        | 2.0   | 10   | 0.6922          | 0.5634   |
+| 0.7223        | 3.0   | 15   | 0.6893          | 0.5634   |
+| 0.713         | 4.0   | 20   | 0.7205          | 0.4366   |
+| 0.7081        | 5.0   | 25   | 0.6865          | 0.5634   |
+| 0.7028        | 6.0   | 30   | 0.7048          | 0.4366   |
+| 0.697         | 7.0   | 35   | 0.6852          | 0.5634   |
+| 0.7002        | 8.0   | 40   | 0.6967          | 0.4366   |
+| 0.7017        | 9.0   | 45   | 0.7156          | 0.4366   |
+| 0.702         | 10.0  | 50   | 0.6885          | 0.5634   |
+| 0.6945        | 11.0  | 55   | 0.6927          | 0.4930   |
+| 0.7002        | 12.0  | 60   | 0.6922          | 0.4648   |
 
 
 ### Framework versions