intent_catcher_config.json

{
  "dataset_reader": {
    "class_name": "intent_catcher_reader",
    "data_path": "{DOWNLOADS_PATH}/intent_catcher_data"
  },
  "dataset_iterator": {
    "class_name": "basic_classification_iterator",
    "seed": 42
  },
  "chainer": {
    "in": [
      "x"
    ],
    "in_y": [
      "y"
    ],
    "pipe": [
      {
        "id": "classes_vocab",
        "class_name": "simple_vocab",
        "fit_on": [
          "y"
        ],
        "save_path": "{MODEL_PATH}/classes.dict",
        "load_path": "{MODEL_PATH}/classes.dict",
        "in": "y",
        "out": "y_ids"
      },
      {
        "in": [
          "x"
        ],
        "in_y": [
          "y_ids"
        ],
        "out": [
          "y_pred_probas"
        ],
        "class_name": "intent_catcher",
        "embeddings": "use",
        "limit": 20,
        "multilabel": false,
        "number_of_layers": 6,
        "number_of_intents": 4,
        "hidden_dim": 1024,
        "save_path": "{MODEL_PATH}/model",
        "load_path": "{MODEL_PATH}/model",
        "mode": "train"
      },
      {
        "in": "y_pred_probas",
        "out": "y_pred_ids",
        "class_name": "proba2labels",
        "max_proba": true
      },
      {
        "in": "y_pred_ids",
        "out": "y_pred_labels",
        "ref": "classes_vocab"
      }
    ],
    "out": [
      "y_pred_labels"
    ]
  },
  "train": {
    "epochs": 400,
    "batch_size": 50,
    "metrics": [
      "accuracy",
      "f1_macro"
    ],
    "validation_patience": 3,
    "val_every_n_epochs": 50,
    "log_every_n_epochs": 5,
    "show_examples": false,
    "evaluation_targets": [
      "valid",
      "test"
    ],
    "class_name": "nn_trainer"
  },
  "metadata": {
    "variables": {
      "ROOT_PATH": "files",
      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
      "MODELS_PATH": "{ROOT_PATH}/models",
      "MODEL_PATH": "{MODELS_PATH}/classifiers/intent_catcher"
    },
    "download": [
      {
        "url": "http://files.deeppavlov.ai/deeppavlov_data/intent_catcher/intent_catcher.tar.gz",
        "subdir": "{MODELS_PATH}/classifiers"
      }
    ]
  }
}