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README.md
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@@ -100,7 +100,8 @@ The model was pre-trained continuously on a single A10G GPU in an AWS instance f
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<br> Our models seem to do better than others with an accuracy of 0.58 on validation but,
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<br> There could be two reasons for this:
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- There is still room for improving the quality of the data.
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- We still do not have enough data for generalization as Transformer models only perform well with large amounts of pre-trained data compared with Classical Sequential Models.
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#### Authors:
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<br> Our models seem to do better than others with an accuracy of 0.58 on validation but,
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<br> There could be two reasons for this:
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- There is still room for improving the quality of the data. (test with HLP)
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<br>Try below, if HLP >> 0.58
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- We still do not have enough data for generalization as Transformer models only perform well with large amounts of pre-trained data compared with Classical Sequential Models.
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#### Authors:
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