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Jae-Won Chung
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Update LEADERBOARD.md
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LEADERBOARD.md
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@@ -4,7 +4,7 @@ The goal of the ML.ENERGY Leaderboard is to give people a sense of how much **en
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- `gpu`: NVIDIA GPU model name. Note that NLP evaluation was only run once on our A40 GPUs, so this column only changes system-level measurements like latency and energy.
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- `task`: Name of the task. See *Tasks* below for details.
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- `energy` (J): The average energy consumed by the model to generate a response.
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- `throughput` (token/s): The average number of tokens generated per second.
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- `latency` (s): The average time it took for the model to generate a response.
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- `response_length` (token): The average number of tokens in the model's response.
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- `gpu`: NVIDIA GPU model name. Note that NLP evaluation was only run once on our A40 GPUs, so this column only changes system-level measurements like latency and energy.
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- `task`: Name of the task. See *Tasks* below for details.
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- `energy` (J): The average GPU energy consumed by the model to generate a response.
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- `throughput` (token/s): The average number of tokens generated per second.
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- `latency` (s): The average time it took for the model to generate a response.
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- `response_length` (token): The average number of tokens in the model's response.
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