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Vincent Claes
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update documentation
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app.py
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@@ -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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80 |
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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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