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    | @@ -21,21 +21,21 @@ It achieves the following results on the evaluation set: | |
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            ## Model description
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            train_df = pd.read_csv('/content/drive/My Drive/DATASETS/wiki_toxic/train.csv')
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            validation_df = pd.read_csv('/content/drive/My Drive/DATASETS/wiki_toxic/validation.csv')
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            #test_df = pd.read_csv('/content/drive/My Drive/wiki_toxic/test.csv')
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            frac = 0.9
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            #TRAIN
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            print(train_df.shape[0]) # get the number of rows in the dataframe
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            rows_to_delete = train_df.sample(frac=frac, random_state=1)
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            train_df = train_df.drop(rows_to_delete.index)
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            print(train_df.shape[0])
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            #VALIDATION
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            print(validation_df.shape[0]) # get the number of rows in the dataframe
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            rows_to_delete = validation_df.sample(frac=frac, random_state=1)
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            validation_df = validation_df.drop(rows_to_delete.index)
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            print(validation_df.shape[0])
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            ## Intended uses & limitations
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            ## Model description
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            train_df = pd.read_csv('/content/drive/My Drive/DATASETS/wiki_toxic/train.csv')\
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            validation_df = pd.read_csv('/content/drive/My Drive/DATASETS/wiki_toxic/validation.csv')\
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            #test_df = pd.read_csv('/content/drive/My Drive/wiki_toxic/test.csv')\
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            frac = 0.9\
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            #TRAIN\
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            print(train_df.shape[0]) # get the number of rows in the dataframe\
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            rows_to_delete = train_df.sample(frac=frac, random_state=1)\
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            train_df = train_df.drop(rows_to_delete.index)\
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            print(train_df.shape[0])\
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            #VALIDATION\
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            print(validation_df.shape[0]) # get the number of rows in the dataframe\
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            rows_to_delete = validation_df.sample(frac=frac, random_state=1)\
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            validation_df = validation_df.drop(rows_to_delete.index)\
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            print(validation_df.shape[0])\
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            ## Intended uses & limitations
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