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 RTE
+      name: glue
       type: glue
       config: rte
       split: validation
@@ -22,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4729241877256318
+      value: 0.5415162454873647
 ---
 
 <!-- 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_rte
 
-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 RTE 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: 0.7371
-- Accuracy: 0.4729
+- Loss: 1.1810
+- Accuracy: 0.5415
 
 ## 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 +63,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 9.1657        | 1.0   | 20   | 0.7371          | 0.4729   |
-| 9.3188        | 2.0   | 40   | 0.7859          | 0.5271   |
-| 9.3339        | 3.0   | 60   | 0.9236          | 0.5271   |
-| 9.7488        | 4.0   | 80   | 0.9142          | 0.5271   |
-| 9.1542        | 5.0   | 100  | 0.8327          | 0.5271   |
-| 9.1755        | 6.0   | 120  | 0.8222          | 0.5271   |
+| 0.7512        | 1.0   | 20   | 0.6929          | 0.4982   |
+| 0.7204        | 2.0   | 40   | 0.6908          | 0.5271   |
+| 0.701         | 3.0   | 60   | 0.6853          | 0.5596   |
+| 0.6315        | 4.0   | 80   | 0.7081          | 0.5632   |
+| 0.5807        | 5.0   | 100  | 0.8746          | 0.5343   |
+| 0.4079        | 6.0   | 120  | 0.8831          | 0.5632   |
+| 0.3077        | 7.0   | 140  | 1.0779          | 0.5487   |
+| 0.2453        | 8.0   | 160  | 1.1810          | 0.5415   |
 
 
 ### Framework versions