Update benchmarks/models/sansa/README.md
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benchmarks/models/sansa/README.md
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@@ -4,7 +4,7 @@ Training SANSA on Yambda-500M with Listens, on Yambda-5B with Likes and on Yambd
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due to the memory explosion during sparse matrix multiplication.
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For example, given the base weights density of \\(d=5 \cdot 10^{-5}\\), the sparse matrix multiplication for Yambda-500M with Listens requires nearly
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\\(N_{events} \cdot |I|^2 \cdot d = 0.5 \cdot 10^9 \cdot (3 \cdot 10^6) ^ 2 \cdot 5 \cdot 10^{-5} = 2.3 \cdot 10^17\\) operations.
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One may observe that the good solution is to try to reduce the weights density. However given the results on Yambda-50M with Listens, further reducing density would collapse the model’s capacity, it becomes obvious that it is just practically futile.
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due to the memory explosion during sparse matrix multiplication.
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| 5 |
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For example, given the base weights density of \\(d=5 \cdot 10^{-5}\\), the sparse matrix multiplication for Yambda-500M with Listens requires nearly
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\\(N_{events} \cdot |I|^2 \cdot d = 0.5 \cdot 10^9 \cdot (3 \cdot 10^6) ^ 2 \cdot 5 \cdot 10^{-5} = 2.3 \cdot 10^{17}\\) operations.
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One may observe that the good solution is to try to reduce the weights density. However given the results on Yambda-50M with Listens, further reducing density would collapse the model’s capacity, it becomes obvious that it is just practically futile.
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| 10 |
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