96abhishekarora
commited on
Commit
•
eba927b
1
Parent(s):
ba6f1fe
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 -38
- Information-Retrieval_evaluation_eval_results.csv +3 -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
- special_tokens_map.json +2 -2
- pytorch_model.bin → test_data.pickle +2 -2
- val_data.pickle +3 -0
.gitattributes
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*.pb filter=lfs diff=lfs merge=lfs -text
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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/fb/d2/fbd246fa5fe8529451aee46397c8e583166d5588080b036919b0641d5b8751a5 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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0,0,0.45663716814159294,0.6141592920353982,0.6778761061946903,0.7769911504424779,0.45663716814159294,0.10638759875095118,0.36460176991150445,0.2349046687594319,0.30973451327433627,0.3074808469915185,0.22106194690265488,0.41048526087828535,0.5512269981739006,0.41388903783336134,0.34644014582938315
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0,0,0.492091388400703,0.6186291739894552,0.7012302284710018,0.7978910369068541,0.492091388400703,0.10806246394345069,0.37141183362624486,0.23647914325243777,0.2963093145869948,0.30211241933888555,0.2123022847100176,0.40475991931127203,0.5787095154406221,0.40798869766162227,0.3410985236607451
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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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0,0,0.8722316865417377,0.9625212947189097,0.9812606473594548,0.9931856899488927,0.8722316865417377,0.18158999662182662,0.7967064168086315,0.44624101552730616,0.6909710391822829,0.5647934925495595,0.5425894378194208,0.7348647209933028,0.9189921851761713,0.8515337912853924,0.7909109777067417
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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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"MPNetModel"
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],
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{
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"_name_or_path": "sentence-transformers/multi-qa-mpnet-base-dot-v1",
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"architectures": [
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"MPNetModel"
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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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special_tokens_map.json
CHANGED
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pytorch_model.bin → test_data.pickle
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ADDED
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