96abhishekarora
commited on
Commit
•
c2b2452
1
Parent(s):
0d5666e
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 +3 -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_zh_aliases_train.csv +0 -0
- special_tokens_map.json +5 -35
- pytorch_model.bin → test_data.pickle +2 -2
- 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/54/57/54572da3354cf88372128cbabf3156f9682776a17ce36b6b8d1a90c01fff4515 filter=lfs diff=lfs merge=lfs -text
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.git/lfs/objects/57/18/57189f92193162b8cfbc8118afed0087e9a3aeeb9e4d927207f350449355adc7 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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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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0,0,0.6066225165562914,0.6788079470198676,0.7019867549668874,0.7284768211920529,0.6066225165562914,0.3422532802003,0.34988962472406177,0.5054668730827672,0.2374834437086093,0.5485692306222107,0.13052980132450331,0.58663087831962,0.6474934300430993,0.5660009992615835,0.5190830673125798
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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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0,0,0.8314606741573034,0.8552544613350959,0.8625247851949769,0.8783873099801719,0.8314606741573034,0.47096040663456396,0.5223617536902401,0.7122611966134769,0.36100462656972904,0.761852044188462,0.1963648380700595,0.7972098951940327,0.8459467682203965,0.7937977127799517,0.7690458391565461
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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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"BertModel"
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],
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{
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"_name_or_path": "DMetaSoul/sbert-chinese-qmc-domain-v1",
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"architectures": [
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"BertModel"
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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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linkage_zh_aliases_train.csv
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special_tokens_map.json
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