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Question Answering on MRQA 2019 (dev)

92.5SQuAD ScoreSpanBERT
6.59628.89851.273.502Sep 10, 2021

Evaluation results

MethodLinks
SpanBERTTrain. Size=All2021.0992.579.980.771.184.880.781.6——————————————
SplinterTrain. Size=All2021.0992.479.780.370.88480.681.3——————————————
Splinter*Train. Size=All, Note=Original paper result; deeper model with additional transformation layers2021.0992.276.58171.38380.780.8——————————————
ROBERTaTrain. Size=All2021.099278.180.671.985.279.181.2——————————————
ReasonBERT_RTrain. Size=All2021.0991.478.980.871.485.380.681.4——————————————
SSPTTrain. Size=All2021.0991.1778069.783.379.780.1——————————————
ReasonBERT_BTrain. Size=All2021.0990.377.579.968.783.780.580.1——————————————
BERTTrain. Size=All2021.0988.873.678.767.58276.277.8——————————————
Splinter*Train. Size=1024, Note=Original paper result; deeper model with additional transformation layers2021.0982.864.865.557.367.370.368——————————————
SpanBERTTrain. Size=10242021.0981.16763.256.47067.667.5——————————————
SplinterTrain. Size=10242021.0979.867.363.854.668.968.467.1——————————————
ReasonBERT_RTrain. Size=10242021.0979.770.16554.772.869.768.7——————————————
ROBERTaTrain. Size=10242021.0977.962.260.35567.563.464.4——————————————
SSPTTrain. Size=10242021.0977.660.158.752.865.963.363.1——————————————
ReasonBERT_BTrain. Size=10242021.0976.967.463.652.270.667.866.4——————————————
Splinter*Train. Size=128, Note=Original paper result; deeper model with additional transformation layers2021.0972.744.746.343.547.254.751.5——————————————
ReasonBERT_RTrain. Size=1282021.0966.762.149.835.762.357.255.6——————————————
BERTTrain. Size=10242021.0964.141.650.14353.146.549.7——————————————
SpanBERTTrain. Size=1282021.0961.248.838.831504445.7——————————————
ReasonBERT_BTrain. Size=1282021.0958.556.246.727.860.845.249.2——————————————
SplinterTrain. Size=1282021.095545.741.133.948.846.945.2——————————————
Splinter*Train. Size=16, Note=Original paper result; deeper model with additional transformation layers2021.0954.618.927.420.826.32428.7——————————————
ROBERTaTrain. Size=1282021.0948.83636.422.841.335.236.7——————————————
SSPTTrain. Size=1282021.0941.530.3351442.823.731.2——————————————
ReasonBERT_RTrain. Size=162021.0941.345.533.616.245.834.136.1——————————————
ReasonBERT_BTrain. Size=162021.0933.237.233.111.846.122.430.6——————————————
BERTTrain. Size=1282021.0921.523.931.711.332.61422.5——————————————
SplinterTrain. Size=162021.0916.723.925.111.623.615.119.3——————————————
SpanBERTTrain. Size=162021.0915.727.424.38.124.116.319.3——————————————
SSPTTrain. Size=162021.0910.821.223.76.525.89.116.2——————————————
ROBERTaTrain. Size=162021.0910.32122.56.723.411.215.9——————————————
BERTTrain. Size=162021.099.915.420.56.516.89.613.1——————————————
500xCompression ratio=15x2025.10———————40.6824.9732.0116.7653.8444.8665.6553.753.0136.350.9333.2649.3534.98
BeaconCompression ratio=15x2025.10———————37.5314.3131.17.7248.854.4739.0622.6745.0127.3540.2915.8240.3115.39
DASTCompression ratio=15x2025.10———————36.3322.6531.5516.2956.9248.1468.0756.5154.0237.9352.135.3149.8336.14
EPLCompression ratio=15x2025.10———————44.5827.9133.3416.6956.1647.0966.3654.1354.8838.3853.835.7151.5236.65
Full-FTFine-tuning=Full2025.10———————77.6959.7163.546.0468.860.5473.2562.0774.7859.2671.0153.4771.5156.85
ICAECompression ratio=15x2025.10———————31.918.9125.2511.9751.7842.9464.8152.8945.2230.3248.0130.6744.531.28
Lingua-2Compression ratio=5x2025.10———————32.9319.5726.7813.29.678.1245.431.836.122.0540.0822.0131.8319.46
SACCompression ratio=15x2025.10———————47.4330.2536.5518.0761.1352.1968.9756.7658.8341.8656.7938.8854.9539.67