metadata
library_name: xpmir
Runs an experiment
None
Using the model)
The model can be loaded with experimaestro IR
from xpmir.models import AutoModel
# Model that can be re-used in experiments
model = AutoModel.load_from_hf_hub("xpmir/SPLADE_DistilMSE")
# Use this if you want to actually use the model
model = AutoModel.load_from_hf_hub("xpmir/SPLADE_DistilMSE", as_instance=True)
model.initialize(None)
model.rsv("walgreens store sales average", "The average Walgreens salary ranges from approximately $15,000 per year for Customer Service Associate / Cashier to $179,900 per year for District Manager...")
Results
Dataset | AP | P@20 | RR | RR@10 | nDCG | nDCG@10 | nDCG@20 |
---|---|---|---|---|---|---|---|
trec2019 | 0.5102 | 0.7360 | 0.9612 | 0.9612 | 0.7407 | 0.7300 | 0.7097 |
msmarco_dev | 0.3623 | 0.0384 | 0.3673 | 0.3560 | 0.4870 | 0.4207 | 0.4451 |