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 MNLI
+      name: glue
       type: glue
       config: mnli
       split: validation_matched
@@ -22,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.318246541903987
+      value: 0.3273560876209883
 ---
 
 <!-- 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_mnli
 
-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 MNLI 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: 1.0992
-- Accuracy: 0.3182
+- Loss: 1.1000
+- Accuracy: 0.3274
 
 ## 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
@@ -65,14 +63,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 70.7498       | 1.0   | 3068  | 30.0481         | 0.3274   |
-| 5.5287        | 2.0   | 6136  | 1.1252          | 0.3274   |
-| 1.354         | 3.0   | 9204  | 1.0991          | 0.3182   |
-| 3.0766        | 4.0   | 12272 | 1.2373          | 0.3182   |
-| 4.2409        | 5.0   | 15340 | 1.1912          | 0.3274   |
-| 5.4957        | 6.0   | 18408 | 1.1716          | 0.3545   |
-| 3.0327        | 7.0   | 21476 | 1.3155          | 0.3274   |
-| 1.571         | 8.0   | 24544 | 1.3787          | 0.3274   |
+| 1.1031        | 1.0   | 3068  | 1.1008          | 0.3274   |
+| 1.0989        | 2.0   | 6136  | 1.0964          | 0.3182   |
+| 1.0987        | 3.0   | 9204  | 1.0980          | 0.3265   |
+| 1.0987        | 4.0   | 12272 | 1.0995          | 0.3182   |
+| 1.0986        | 5.0   | 15340 | 1.0986          | 0.3274   |
+| 1.0991        | 6.0   | 18408 | 1.1016          | 0.3545   |
+| 1.0991        | 7.0   | 21476 | 1.1000          | 0.3274   |
 
 
 ### Framework versions