aloobun
/

d-mxbai-L8-embed

Sentence Similarity

sentence-transformers

feature-extraction

Generated from Trainer

dataset_size:1195425

text-embeddings-inference

Inference Endpoints

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aloobun commited on 24 days ago

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@@ -104,7 +104,7 @@ language:
 I initialize the student model by pruning the teacher model, retaining only 8 layers, in an attempt to create a lighter, faster version.
- - the top left graph shows how well your model's predictions match reality. Spearman correlation = 0.887 is good enough.
  - the top right compares the correlation performance of this model vs the reference(mxbai-embed-large-v1) model - both bars around 0.8-0.9
  - bottom left shows, this model processes about 45 samples/s and mxbai-embed-large-v1 processes about 30 samples/s.
  - the bottom right shows a small accuracy drop for this model.

 I initialize the student model by pruning the teacher model, retaining only 8 layers, in an attempt to create a lighter, faster version.
+ - the top left graph shows how well your model's predictions match reality. Spearman correlation = 0.887
  - the top right compares the correlation performance of this model vs the reference(mxbai-embed-large-v1) model - both bars around 0.8-0.9
  - bottom left shows, this model processes about 45 samples/s and mxbai-embed-large-v1 processes about 30 samples/s.
  - the bottom right shows a small accuracy drop for this model.