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: 0.7397590361445783
+  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: 1.1227
-- Accuracy: 0.7398
+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
 
@@ -57,7 +39,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 30.0
+- num_epochs: 10.0
 
 ### Training results
 
@@ -66,6 +48,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.29.0.dev0
-- Pytorch 2.0.0+cu118
+- Pytorch 1.13.0
 - Datasets 2.11.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.2