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Update README.md

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  ---
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  library_name: transformers
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- license: mit
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  base_model: roberta-base
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  tags:
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  - generated_from_trainer
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # RoBERTa_Sentiment_Analysis
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0994
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.21.0
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- - Tokenizers 0.19.1
 
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  ---
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  library_name: transformers
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+ license: apache-2.0
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  base_model: roberta-base
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  tags:
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  - generated_from_trainer
 
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  # RoBERTa_Sentiment_Analysis
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the https://www.kaggle.com/datasets/arkhoshghalb/twitter-sentiment-analysis-hatred-speech dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0994
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  ## Training and evaluation data
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+ 'train.csv' of Twitter Sentiment Analysis is used for training and evaluation
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  ## Training procedure
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  - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.21.0
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+ - Tokenizers 0.19.1