Vincent Claes commited on
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update documentation

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  1. app.py +4 -4
app.py CHANGED
@@ -73,16 +73,16 @@ The current model you can play with is fine-tuned on 15 samples per emoji.
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  - dataset: https://huggingface.co/datasets/vincentclaes/emoji-predictor \n
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  - profile: https://huggingface.co/vincentclaes \n
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- Below you can find a table with the precision for predictions and suggestions\n
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  for a range of samples per emoji we fine-tuned CLIP on.
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- The column "Prediction" indicates the precision for predicting the right emoji.
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- Since there can be some confusion about the right emoji for a tweet, \n
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  I also tried to present 4 suggestions. If 1 of the 4 suggestions is the same as the label, \n
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  I consider it a valid prediction. See the column "Suggestion".
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- Randomly predicting an emoji would have a precision of 1/32 or 0.0325.\n
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  Randomly suggesting an emoji would have a precision of 4/32 or 0.12.
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  - dataset: https://huggingface.co/datasets/vincentclaes/emoji-predictor \n
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  - profile: https://huggingface.co/vincentclaes \n
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+ - Below you can find a table with the precision for predictions and suggestions\n
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  for a range of samples per emoji we fine-tuned CLIP on.
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+ - The column "Prediction" indicates the precision for predicting the right emoji.
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+ - Since there can be some confusion about the right emoji for a tweet, \n
82
  I also tried to present 4 suggestions. If 1 of the 4 suggestions is the same as the label, \n
83
  I consider it a valid prediction. See the column "Suggestion".
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+ - Randomly predicting an emoji would have a precision of 1/32 or 0.0325.\n
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  Randomly suggesting an emoji would have a precision of 4/32 or 0.12.
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