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@@ -95,7 +95,7 @@ nor has it been tested on other downstream tasks.
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  Note that during pretraining, the --mlm-prob parameter has been set to 0.4. We have done some experiments with different mlm-probs (namely, 0.15, 0.3 and 0.4) and found that
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  0.4 yielded the best results, in accordance to [Wettig et al., 2023](https://aclanthology.org/2023.eacl-main.217.pdf).
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- Estimated time it has cost to train:
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  pretraining: 38 hours on 4 NVIDIA H200s
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  finetuning: 4 hours on 1 NVIDIA H200
 
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  Note that during pretraining, the --mlm-prob parameter has been set to 0.4. We have done some experiments with different mlm-probs (namely, 0.15, 0.3 and 0.4) and found that
96
  0.4 yielded the best results, in accordance to [Wettig et al., 2023](https://aclanthology.org/2023.eacl-main.217.pdf).
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+ **Estimated time it has cost to train:**
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  pretraining: 38 hours on 4 NVIDIA H200s
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  finetuning: 4 hours on 1 NVIDIA H200