embedding_config.json

{
  "name": "TinyE5-L6-384",
  "embedding_dimension": 384,
  "pooling": "mean",
  "normalize": true,
  "query_prefix": "query: ",
  "passage_prefix": "passage: ",
  "base_model": "sentence-transformers/all-MiniLM-L6-v2",
  "training_dataset": "sentence-transformers/msmarco-bm25/triplet",
  "train_last_n_layers": 2
}