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SPLADE_DistilMSE

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  1. README.md +1 -0
  2. definition.json +1 -1
README.md CHANGED
@@ -4,6 +4,7 @@ library_name: xpmir
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  # SPLADE_DistilMSE: SPLADEv2 trained with the distillated triplets
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  Training data from: https://github.com/sebastian-hofstaetter/neural-ranking-kd
 
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  From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models
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  More Effective (Thibault Formal, Carlos Lassance, Benjamin Piwowarski,
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  Stéphane Clinchant). 2022. https://arxiv.org/abs/2205.04733
 
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  # SPLADE_DistilMSE: SPLADEv2 trained with the distillated triplets
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  Training data from: https://github.com/sebastian-hofstaetter/neural-ranking-kd
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  From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models
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  More Effective (Thibault Formal, Carlos Lassance, Benjamin Piwowarski,
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  Stéphane Clinchant). 2022. https://arxiv.org/abs/2205.04733
definition.json CHANGED
@@ -1 +1 @@
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- [{"id": 140318347267376, "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": 140318347267328, "module": "xpmir.neural.splade", "type": "MaxAggregation", "identifier": "6d85ac05decb4f139354ac3f79990a2afdb8ced21c8861f2dd5c720484514f48", "typename": "xpmir.neural.splade.MaxAggregation", "ignored": [], "fields": {}}, {"id": 140318347267808, "module": "xpmir.neural.splade", "type": "SpladeTextEncoder", "identifier": "e54501ae9b19387204445bec69bc5a860d9e68f1e44d75733fe66b4e02418098", "typename": "xpmir.neural.splade.SpladeTextEncoder", "ignored": [], "fields": {"encoder": {"type": "python", "value": 140318347267376}, "aggregation": {"type": "python", "value": 140318347267328}, "maxlen": 200}}, {"id": 140318347269056, "module": "xpmir.neural.splade", "type": "SpladeTextEncoder", "identifier": "1e5b132f4b528e408796f70295156b3ad0d6c41f669f2b43a5a1e3ab5ac7906e", "typename": "xpmir.neural.splade.SpladeTextEncoder", "ignored": [], "fields": {"encoder": {"type": "python", "value": 140318347267376}, "aggregation": {"type": "python", "value": 140318347267328}, "maxlen": 30}}, {"id": 140318347335744, "module": "xpmir.neural.dual", "type": "DotDense", "identifier": "f4bacc4feb44bae72cbe080cad5b588a32de094a89fd4524520842e342a1a48d", "fields": {"checkpoint": {"type": "path.serialized", "value": "checkpoint", "is_folder": true}, "encoder": {"type": "python", "value": 140318347267808}, "query_encoder": {"type": "python", "value": 140318347269056}}}]
 
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+ [{"id": 140693356415392, "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": 140693356415344, "module": "xpmir.neural.splade", "type": "MaxAggregation", "identifier": "6d85ac05decb4f139354ac3f79990a2afdb8ced21c8861f2dd5c720484514f48", "typename": "xpmir.neural.splade.MaxAggregation", "ignored": [], "fields": {}}, {"id": 140693356415824, "module": "xpmir.neural.splade", "type": "SpladeTextEncoder", "identifier": "e54501ae9b19387204445bec69bc5a860d9e68f1e44d75733fe66b4e02418098", "typename": "xpmir.neural.splade.SpladeTextEncoder", "ignored": [], "fields": {"encoder": {"type": "python", "value": 140693356415392}, "aggregation": {"type": "python", "value": 140693356415344}, "maxlen": 200}}, {"id": 140693356417072, "module": "xpmir.neural.splade", "type": "SpladeTextEncoder", "identifier": "1e5b132f4b528e408796f70295156b3ad0d6c41f669f2b43a5a1e3ab5ac7906e", "typename": "xpmir.neural.splade.SpladeTextEncoder", "ignored": [], "fields": {"encoder": {"type": "python", "value": 140693356415392}, "aggregation": {"type": "python", "value": 140693356415344}, "maxlen": 30}}, {"id": 140693356500144, "module": "xpmir.neural.dual", "type": "DotDense", "identifier": "f4bacc4feb44bae72cbe080cad5b588a32de094a89fd4524520842e342a1a48d", "fields": {"checkpoint": {"type": "path.serialized", "value": "checkpoint", "is_folder": true}, "encoder": {"type": "python", "value": 140693356415824}, "query_encoder": {"type": "python", "value": 140693356417072}}}]