update model card README.md

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- en
 tags:
 - generated_from_trainer
 datasets:
@@ -15,7 +13,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: GLUE MRPC
+      name: glue
       type: glue
       config: mrpc
       split: validation
@@ -23,10 +21,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6838235294117647
+      value: 0.625
     - name: F1
       type: f1
-      value: 0.8122270742358079
+      value: 0.7118644067796611
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hBERTv2_new_pretrain_mrpc
 
-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 MRPC 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: 1.8707
-- Accuracy: 0.6838
-- F1: 0.8122
-- Combined Score: 0.7480
+- Loss: 1.3516
+- Accuracy: 0.625
+- F1: 0.7119
+- Combined Score: 0.6684
 
 ## Model description
 
@@ -58,7 +56,7 @@ 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
@@ -71,13 +69,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
-| 8.6576        | 1.0   | 29   | 3.5192          | 0.6838   | 0.8122 | 0.7480         |
-| 9.1979        | 2.0   | 58   | 1.8707          | 0.6838   | 0.8122 | 0.7480         |
-| 8.8322        | 3.0   | 87   | 3.9709          | 0.6838   | 0.8122 | 0.7480         |
-| 8.8403        | 4.0   | 116  | 3.3888          | 0.6838   | 0.8122 | 0.7480         |
-| 8.3428        | 5.0   | 145  | 2.3995          | 0.6838   | 0.8122 | 0.7480         |
-| 8.565         | 6.0   | 174  | 5.375           | 0.6838   | 0.8122 | 0.7480         |
-| 12.6976       | 7.0   | 203  | 14.0184         | 0.3162   | 0.0    | 0.1581         |
+| 0.6721        | 1.0   | 29   | 0.6200          | 0.6838   | 0.8122 | 0.7480         |
+| 0.6229        | 2.0   | 58   | 0.6098          | 0.6569   | 0.7255 | 0.6912         |
+| 0.5689        | 3.0   | 87   | 0.5990          | 0.7034   | 0.8118 | 0.7576         |
+| 0.4615        | 4.0   | 116  | 0.6689          | 0.6765   | 0.78   | 0.7282         |
+| 0.3475        | 5.0   | 145  | 0.8472          | 0.6054   | 0.6774 | 0.6414         |
+| 0.2307        | 6.0   | 174  | 0.9917          | 0.6103   | 0.6913 | 0.6508         |
+| 0.166         | 7.0   | 203  | 1.1149          | 0.6544   | 0.7522 | 0.7033         |
+| 0.1258        | 8.0   | 232  | 1.3516          | 0.625    | 0.7119 | 0.6684         |
 
 
 ### Framework versions