train/models/sbert/lstm_config.json

{
  "stream_0": {
    "vocab_size": 21128,
    "emb_size": 512,
    "hidden_size": 512,
    "layers_num": 2,
    "dropout": 0.1,
    "embedding": ["word"],
    "encoder": "lstm"
  },

  "stream_1": {
    "vocab_size": 21128,
    "emb_size": 512,
    "hidden_size": 512,
    "layers_num": 2,
    "dropout": 0.1,
    "embedding": ["word"],
    "encoder": "lstm"
  },

  "embedding": "dual",
  "encoder": "dual",
  "pooling": "mean",
  "tie_weights": true
}