update model card README.md

README.md

@@ -3,25 +3,10 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- Yaxin/SemEval2014Task4Raw
-metrics:
-- accuracy
+- sem_eval2014_task4_raw
 model-index:
 - name: bert-large-uncased-semeval2014
-  results:
-  - task:
-      name: Masked Language Modeling
-      type: fill-mask
-    dataset:
-      name: Yaxin/SemEval2014Task4Raw All
-      type: Yaxin/SemEval2014Task4Raw
-      config: All
-      split: validation
-      args: All
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.06506024096385542
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-large-uncased-semeval2014
 
-This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the Yaxin/SemEval2014Task4Raw All dataset.
-It achieves the following results on the evaluation set:
-- Loss: 5.9954
-- Accuracy: 0.0651
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the sem_eval2014_task4_raw dataset.
 
 ## Model description
 
@@ -51,7 +33,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
+- learning_rate: 5e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42