Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:605748
loss:MultipleNegativesSymmetricRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use LamaDiab/MiniLM-V17Data-128BATCH-SemanticEngine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LamaDiab/MiniLM-V17Data-128BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-V17Data-128BATCH-SemanticEngine") sentences = [ "sand eel shad soft lure combo eelo 150 25 g ayu/blue", "marvel na! na! na! surprise 2-pack air arms multicolor", "fast fishing fishing lure", "fishing" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files- eval/triplet_evaluation_results.csv +5 -0
- model.safetensors +1 -1
eval/triplet_evaluation_results.csv
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0.4225649693640397,2000,0.9388999938964844
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0.4225649693640397,2000,0.9388999938964844
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0.6338474540460596,3000,0.9328005313873291
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0.8451299387280794,4000,0.9312230348587036
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1.0564124234100993,5000,0.944158136844635
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1.690259877456159,8000,0.9373225569725037
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1.9015423621381786,9000,0.9387948513031006
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model.safetensors
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size 90864192
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