squad_bert_multilingual_freezed_emb.json

{
  "chainer": {
    "in": ["context_raw", "question_raw"],
    "in_y": ["ans_raw", "ans_raw_start"],
    "pipe": [
      {
        "class_name": "bert_preprocessor",
        "vocab_file": "{DOWNLOADS_PATH}/bert_models/multi_cased_L-12_H-768_A-12/vocab.txt",
        "do_lower_case": false,
        "max_seq_length": 384,
        "in": ["question_raw", "context_raw"],
        "out": ["bert_features"]
      },
      {
        "class_name": "squad_bert_mapping",
        "do_lower_case": false,
        "in": ["context_raw", "bert_features"],
        "out": ["subtok2chars", "char2subtoks"]
      },
      {
        "class_name": "squad_bert_ans_preprocessor",
        "do_lower_case": false,
        "in": ["ans_raw", "ans_raw_start","char2subtoks"],
        "out": ["ans", "ans_start", "ans_end"]
      },
      {
        "class_name": "squad_bert_model",
        "bert_config_file": "{DOWNLOADS_PATH}/bert_models/multi_cased_L-12_H-768_A-12/bert_config.json",
        "pretrained_bert": "{DOWNLOADS_PATH}/bert_models/multi_cased_L-12_H-768_A-12/bert_model.ckpt",
        "save_path": "{MODELS_PATH}/squad_bert/model_multi_freezed",
        "load_path": "{MODELS_PATH}/squad_bert/model_multi_freezed",
        "keep_prob": 0.5,
        "learning_rate": 2e-05,
        "learning_rate_drop_patience": 2,
        "learning_rate_drop_div": 2.0,
        "in": ["bert_features"],
        "in_y": ["ans_start", "ans_end"],
        "out": ["ans_start_predicted", "ans_end_predicted", "logits"]
      },
      {
        "class_name": "squad_bert_ans_postprocessor",
        "in": ["ans_start_predicted", "ans_end_predicted", "context_raw", "bert_features", "subtok2chars"],
        "out": ["ans_predicted", "ans_start_predicted", "ans_end_predicted"]
      }
    ],
    "out": ["ans_predicted", "ans_start_predicted", "logits"]
  },
  "metadata": {
    "variables": {
      "ROOT_PATH": "~/.deeppavlov",
      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
      "MODELS_PATH": "{ROOT_PATH}/models"
    },
    "requirements": [
      "{DEEPPAVLOV_PATH}/requirements/tf.txt",
      "{DEEPPAVLOV_PATH}/requirements/bert_dp.txt"
    ],
    "download": [
      {
        "url": "http://files.deeppavlov.ai/deeppavlov_data/bert/multi_cased_L-12_H-768_A-12.zip",
        "subdir": "{DOWNLOADS_PATH}/bert_models"
      },
      {
        "url": "http://files.deeppavlov.ai/deeppavlov_data/squad_bert_mult_freezed.tar.gz",
        "subdir": "{MODELS_PATH}"
      }
      ]
  }
}