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I am unable to reproduce the scores on paper Table 13 using your pre-trained "deberta-10k-rank_net" model. I use the deberta-10k-rank_net function, but the scores that I get are lower.
Moreover, what is the difference between "deberta-v3-large 5K" and "deberta-v3-large 5K label" in the table?
The text was updated successfully, but these errors were encountered:
Could you please share the hyperparams used to train the model?
Regarding the figure, the DeBERTa Label 5K (in blue) denotes the model trained using the same hyperparams as the red one but using the MS Marco labels instead of GPT-3.5 predicted labels.
I am unable to reproduce the scores on paper Table 13 using your pre-trained "deberta-10k-rank_net" model. I use the
deberta-10k-rank_net
function, but the scores that I get are lower.Moreover, what is the difference between "deberta-v3-large 5K" and "deberta-v3-large 5K label" in the table?
The text was updated successfully, but these errors were encountered: