AyoubChLin
/

news-ESG-Bert

@@ -8,6 +8,10 @@ language:
 metrics:
 - accuracy
 pipeline_tag: text-classification
 ---
 # Model Card for Model ID
@@ -39,33 +43,6 @@ This modelcard aims to be a base template for new models. It has been generated
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@@ -85,7 +62,7 @@ Use the code below to get started with the model.
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@@ -97,113 +74,26 @@ Use the code below to get started with the model.
 - max_seq_length = 256
 - num_train_epochs = 2.0
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 metrics:
 - accuracy
 pipeline_tag: text-classification
+widget:
+  - text: money in the pocket
+  - text: no one can win this cup in quatar..
+  - text: new transformers architicture can build a large language model with low ressources
 ---
 # Model Card for Model ID
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
 ### Recommendations
 <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+(AyoubChLin/20NewsGroup-AgNews-CnnNews)[https://huggingface.co/datasets/AyoubChLin/20NewsGroup-AgNews-CnnNews]
 - max_seq_length = 256
 - num_train_epochs = 2.0
 #### Testing Data
+(CNN-NEWS-Article)[https://huggingface.co/datasets/AyoubChLin/CNN_News_Articles_2011-2022]
 #### Metrics
+Accuracy
 ### Results
+(CNN-NEWS-Article)[https://huggingface.co/datasets/AyoubChLin/CNN_News_Articles_2011-2022] : 0.957791 / LOSS : 0.197338
 #### Summary