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
@@ -30,7 +28,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hBERTv1_no_pretrain_qnli
 
-This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE QNLI dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on the glue dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6931
 - Accuracy: 0.5054
@@ -52,41 +50,37 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
-- train_batch_size: 128
-- eval_batch_size: 128
+- learning_rate: 4e-05
+- train_batch_size: 96
+- eval_batch_size: 96
 - seed: 10
 - distributed_type: multi-GPU
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 50
-- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.715         | 1.0   | 819   | 0.6931          | 0.4946   |
-| 0.6932        | 2.0   | 1638  | 0.6931          | 0.4946   |
-| 0.6936        | 3.0   | 2457  | 0.6931          | 0.5054   |
-| 0.6932        | 4.0   | 3276  | 0.6932          | 0.4946   |
-| 0.6932        | 5.0   | 4095  | 0.6933          | 0.5054   |
-| 0.6932        | 6.0   | 4914  | 0.6931          | 0.5054   |
-| 0.6932        | 7.0   | 5733  | 0.6931          | 0.5054   |
-| 0.6932        | 8.0   | 6552  | 0.6931          | 0.5054   |
-| 0.6935        | 9.0   | 7371  | 0.6935          | 0.5054   |
-| 0.6932        | 10.0  | 8190  | 0.6931          | 0.5054   |
-| 0.6932        | 11.0  | 9009  | 0.6931          | 0.5054   |
-| 0.6932        | 12.0  | 9828  | 0.6931          | 0.5054   |
-| 0.6932        | 13.0  | 10647 | 0.6931          | 0.5054   |
-| 0.6932        | 14.0  | 11466 | 0.6931          | 0.4946   |
-| 0.6932        | 15.0  | 12285 | 0.6934          | 0.4946   |
-| 0.6932        | 16.0  | 13104 | 0.6931          | 0.4946   |
+| 0.7059        | 1.0   | 1092  | 0.7004          | 0.5054   |
+| 0.6948        | 2.0   | 2184  | 0.6938          | 0.4946   |
+| 0.6939        | 3.0   | 3276  | 0.6932          | 0.5054   |
+| 0.6936        | 4.0   | 4368  | 0.6931          | 0.5054   |
+| 0.6934        | 5.0   | 5460  | 0.6931          | 0.5054   |
+| 0.6936        | 6.0   | 6552  | 0.6931          | 0.5054   |
+| 0.6933        | 7.0   | 7644  | 0.6931          | 0.5054   |
+| 0.6933        | 8.0   | 8736  | 0.6931          | 0.5054   |
+| 0.6934        | 9.0   | 9828  | 0.6934          | 0.5054   |
+| 0.6933        | 10.0  | 10920 | 0.6931          | 0.5054   |
+| 0.6932        | 11.0  | 12012 | 0.6933          | 0.4946   |
+| 0.6932        | 12.0  | 13104 | 0.6931          | 0.5054   |
+| 0.6933        | 13.0  | 14196 | 0.6931          | 0.5054   |
 
 
 ### Framework versions
 
-- Transformers 4.29.2
+- Transformers 4.30.2
 - Pytorch 1.14.0a0+410ce96
 - Datasets 2.12.0
 - Tokenizers 0.13.3