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Model Trained Using AutoTrain

  • Problem type: Sentence Transformers

Validation Metrics

loss: 0.12450794875621796

cosine_accuracy: 1.0

dot_accuracy: 0.0

manhattan_accuracy: 1.0

euclidean_accuracy: 1.0

max_accuracy: 1.0

runtime: 58.713

samples_per_second: 0.766

steps_per_second: 0.051

: 8.909090909090908

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the Hugging Face Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'search_query: autotrain',
    'search_query: auto train',
    'search_query: i love autotrain',
]
embeddings = model.encode(sentences)
print(embeddings.shape)

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
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