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Add model
Browse files- README.md +27 -0
- checkpoint/info.json +1 -0
- checkpoint/model.pth +3 -0
- config.json +1 -0
- definition.json +1 -0
README.md
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---
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library_name: xpmir
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---
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# Runs an experiment
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None
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## Using the model)
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The model can be loaded with [experimaestro IR](https://experimaestro-ir.readthedocs.io/en/latest/)
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```py
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from xpmir.models import AutoModel
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# Model that can be re-used in experiments
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model = AutoModel.load_from_hf_hub("xpmir/SPLADE_DistilMSE")
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# Use this if you want to actually use the model
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model = AutoModel.load_from_hf_hub("xpmir/SPLADE_DistilMSE", as_instance=True)
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model.initialize(None)
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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...")
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```
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## Results
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| Dataset | AP | P@20 | RR | RR@10 | nDCG | nDCG@10 | nDCG@20 |
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|----| ---|------|------|------|------|------|------|
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| trec2019 | 0.5102 | 0.7360 | 0.9612 | 0.9612 | 0.7407 | 0.7300 | 0.7097 |
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| msmarco_dev | 0.3623 | 0.0384 | 0.3673 | 0.3560 | 0.4870 | 0.4207 | 0.4451 |
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checkpoint/info.json
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{"epoch": 976, "steps": 124928}
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checkpoint/model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9eedbde37eb03a90b6c2919ecd8eea058765da23e441ee17e5b7a1fa93dea393
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size 268063957
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config.json
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{}
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definition.json
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[{"id": 139993107703040, "module": "xpmir.text.huggingface", "type": "TransformerVocab", "identifier": "1b34882d3bb2bdecb562df9dbc0611309178933028292b272c8d2b6121e5f6b2", "typename": "xpmir.text.huggingface.TransformerVocab", "ignored": [], "fields": {"model_id": "distilbert-base-uncased", "trainable": true, "layer": 0, "dropout": 0.0}}, {"id": 139993107702992, "module": "xpmir.neural.splade", "type": "MaxAggregation", "identifier": "6d85ac05decb4f139354ac3f79990a2afdb8ced21c8861f2dd5c720484514f48", "typename": "xpmir.neural.splade.MaxAggregation", "ignored": [], "fields": {}}, {"id": 139993107703472, "module": "xpmir.neural.splade", "type": "SpladeTextEncoder", "identifier": "e54501ae9b19387204445bec69bc5a860d9e68f1e44d75733fe66b4e02418098", "typename": "xpmir.neural.splade.SpladeTextEncoder", "ignored": [], "fields": {"encoder": {"type": "python", "value": 139993107703040}, "aggregation": {"type": "python", "value": 139993107702992}, "maxlen": 200}}, {"id": 139993107704720, "module": "xpmir.neural.splade", "type": "SpladeTextEncoder", "identifier": "1e5b132f4b528e408796f70295156b3ad0d6c41f669f2b43a5a1e3ab5ac7906e", "typename": "xpmir.neural.splade.SpladeTextEncoder", "ignored": [], "fields": {"encoder": {"type": "python", "value": 139993107703040}, "aggregation": {"type": "python", "value": 139993107702992}, "maxlen": 30}}, {"id": 139993107853856, "module": "xpmir.neural.dual", "type": "DotDense", "identifier": "f4bacc4feb44bae72cbe080cad5b588a32de094a89fd4524520842e342a1a48d", "fields": {"checkpoint": {"type": "path.serialized", "value": "checkpoint", "is_folder": true}, "encoder": {"type": "python", "value": 139993107703472}, "query_encoder": {"type": "python", "value": 139993107704720}}}]
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