96abhishekarora
commited on
Commit
•
f4e3085
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Parent(s):
41629fa
Updated model with better training and evaluation. Test and val data included as pickle files. Older Legacy files were removed to avoid confusion.
Browse files- .gitattributes +4 -37
- Information-Retrieval_evaluation_eval_results.csv +2 -0
- Information-Retrieval_evaluation_test_results.csv +2 -0
- README.md +1 -1
- config.json +1 -1
- eval/Information-Retrieval_evaluation_eval_results.csv +301 -0
- linkage_fr_aliases_train.csv +0 -0
- special_tokens_map.json +6 -42
- pytorch_model.bin → test_data.pickle +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +0 -7
- val_data.pickle +3 -0
.gitattributes
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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.git/lfs/objects/48/8a/488aa4746aae10652265c4f48d8ddaaf8e302e6fbd4a5db9da494309eaa8eeac filter=lfs diff=lfs merge=lfs -text
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.git/lfs/objects/41/a5/41a56826146b5cb12d144aa0b713be15bf0a64b42901cd7dc202a9d0bce6af49 filter=lfs diff=lfs merge=lfs -text
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test_data.pickle filter=lfs diff=lfs merge=lfs -text
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val_data.pickle filter=lfs diff=lfs merge=lfs -text
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sentencepiece.bpe.model filter=lfs diff=lfs merge=lfs -text
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Information-Retrieval_evaluation_eval_results.csv
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epoch,steps,cos_sim-Accuracy@1,cos_sim-Accuracy@3,cos_sim-Accuracy@5,cos_sim-Accuracy@10,cos_sim-Precision@1,cos_sim-Recall@1,cos_sim-Precision@3,cos_sim-Recall@3,cos_sim-Precision@5,cos_sim-Recall@5,cos_sim-Precision@10,cos_sim-Recall@10,cos_sim-MRR@10,cos_sim-NDCG@10,cos_sim-MAP@100
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0,0,0.6598107774578362,0.7174002468120115,0.7342657342657343,0.7498971616618676,0.6598107774578362,0.4725695872754696,0.3453996983408748,0.632661456190868,0.22492801316330732,0.6634169751816811,0.11896338955162485,0.6886466474701769,0.6915199179905057,0.6602228525541998,0.6319404174417382
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Information-Retrieval_evaluation_test_results.csv
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epoch,steps,cos_sim-Accuracy@1,cos_sim-Accuracy@3,cos_sim-Accuracy@5,cos_sim-Accuracy@10,cos_sim-Precision@1,cos_sim-Recall@1,cos_sim-Precision@3,cos_sim-Recall@3,cos_sim-Precision@5,cos_sim-Recall@5,cos_sim-Precision@10,cos_sim-Recall@10,cos_sim-MRR@10,cos_sim-NDCG@10,cos_sim-MAP@100
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0,0,0.8125502815768303,0.8620273531777957,0.8789219629927595,0.8942075623491552,0.8125502815768303,0.5811491828989818,0.4263877715205149,0.7703183426031375,0.27497988736926793,0.8023892818542858,0.14605792437650847,0.8305837945017349,0.8405145002490131,0.8051359860552861,0.7799972344840091
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README.md
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---
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-
#
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This is a [LinkTransformer](https://linktransformer.github.io/) model. At its core this model this is a sentence transformer model [sentence-transformers](https://www.SBERT.net) model- it just wraps around the class.
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It is designed for quick and easy record linkage (entity-matching) through the LinkTransformer package. The tasks include clustering, deduplication, linking, aggregation and more.
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---
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# {MODEL_NAME}
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This is a [LinkTransformer](https://linktransformer.github.io/) model. At its core this model this is a sentence transformer model [sentence-transformers](https://www.SBERT.net) model- it just wraps around the class.
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It is designed for quick and easy record linkage (entity-matching) through the LinkTransformer package. The tasks include clustering, deduplication, linking, aggregation and more.
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"CamembertModel"
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],
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{
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"_name_or_path": "dangvantuan/sentence-camembert-large",
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"architectures": [
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"CamembertModel"
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],
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eval/Information-Retrieval_evaluation_eval_results.csv
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epoch,steps,cos_sim-Accuracy@1,cos_sim-Accuracy@3,cos_sim-Accuracy@5,cos_sim-Accuracy@10,cos_sim-Precision@1,cos_sim-Recall@1,cos_sim-Precision@3,cos_sim-Recall@3,cos_sim-Precision@5,cos_sim-Recall@5,cos_sim-Precision@10,cos_sim-Recall@10,cos_sim-MRR@10,cos_sim-NDCG@10,cos_sim-MAP@100
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ADDED
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