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  ---
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  license: apache-2.0
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- thumbnail: https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis/resolve/main/logo_no_bg.png
 
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  tags:
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  - generated_from_trainer
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  - financial
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  - stocks
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  - sentiment
 
 
 
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  widget:
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- - text: "Operating profit totaled EUR 9.4 mn , down from EUR 11.7 mn in 2004 ."
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  datasets:
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  - financial_phrasebank
 
 
 
 
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  metrics:
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  - accuracy
 
 
 
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  model-index:
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  - name: distilRoberta-financial-sentiment
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  results:
@@ -26,6 +37,12 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9823008849557522
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -87,4 +104,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.10.2
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  - Pytorch 1.9.0+cu102
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  - Datasets 1.12.1
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- - Tokenizers 0.10.3
 
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  ---
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  license: apache-2.0
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+ thumbnail: >-
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+ https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis/resolve/main/logo_no_bg.png
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  tags:
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  - generated_from_trainer
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  - financial
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  - stocks
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  - sentiment
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+ - spam
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+ - ham
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+ - not-spam
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  widget:
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+ - text: Operating profit totaled EUR 9.4 mn , down from EUR 11.7 mn in 2004 .
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  datasets:
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  - financial_phrasebank
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+ - Anik3t/spam-classification-new
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+ - TrainingDataPro/email-spam-classification
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+ - seanswyi/sms-spam-classification
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+ - legacy107/spamming-email-classification
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  metrics:
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  - accuracy
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+ - f1
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+ - precision
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+ - recall
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  model-index:
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  - name: distilRoberta-financial-sentiment
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  results:
 
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  - name: Accuracy
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  type: accuracy
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  value: 0.9823008849557522
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+ language:
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+ - en
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+ - fa
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+ base_model:
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+ - mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
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+ - Delphia/twitter-spam-classifier
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - Transformers 4.10.2
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  - Pytorch 1.9.0+cu102
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  - Datasets 1.12.1
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+ - Tokenizers 0.10.3