update model card README.md

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- en
 license: mit
 tags:
 - generated_from_trainer
@@ -15,13 +13,13 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: GLUE RTE
+      name: glue
       type: glue
       args: rte
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7581227436823105
+      value: 0.7725631768953068
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-base-rte
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE RTE dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6365
-- Accuracy: 0.7581
+- Loss: 1.3534
+- Accuracy: 0.7726
 
 ## Model description
 
@@ -51,7 +49,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -64,14 +62,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 156  | 0.7072          | 0.4729   |
-| No log        | 2.0   | 312  | 0.6958          | 0.5271   |
-| No log        | 3.0   | 468  | 0.6193          | 0.6462   |
-| 0.6759        | 4.0   | 624  | 0.6046          | 0.7076   |
-| 0.6759        | 5.0   | 780  | 0.6365          | 0.7581   |
-| 0.6759        | 6.0   | 936  | 0.8975          | 0.7545   |
-| 0.3194        | 7.0   | 1092 | 1.2031          | 0.7581   |
-| 0.3194        | 8.0   | 1248 | 1.2942          | 0.7581   |
+| No log        | 1.0   | 156  | 0.7023          | 0.4729   |
+| No log        | 2.0   | 312  | 0.6356          | 0.6895   |
+| No log        | 3.0   | 468  | 0.5177          | 0.7617   |
+| 0.6131        | 4.0   | 624  | 0.6238          | 0.7473   |
+| 0.6131        | 5.0   | 780  | 0.5446          | 0.7978   |
+| 0.6131        | 6.0   | 936  | 0.9697          | 0.7545   |
+| 0.2528        | 7.0   | 1092 | 1.1004          | 0.7690   |
+| 0.2528        | 8.0   | 1248 | 1.1937          | 0.7726   |
+| 0.2528        | 9.0   | 1404 | 1.3313          | 0.7726   |
+| 0.1073        | 10.0  | 1560 | 1.3534          | 0.7726   |
 
 
 ### Framework versions