sentiment_yelp_multi_bert.json

{
  "dataset_reader": {
    "class_name": "basic_classification_reader",
    "x": "text",
    "y": "label",
    "data_path": "{DOWNLOADS_PATH}/yelp_review_full_csv",
    "train": "train.csv",
    "test": "test.csv",
    "header": null,
    "names": [
      "label",
      "text"
    ]
  },
  "dataset_iterator": {
    "class_name": "basic_classification_iterator",
    "seed": 42,
    "split_seed": 23,
    "field_to_split": "train",
    "split_fields": [
      "train",
      "valid"
    ],
    "split_proportions": [
      0.9,
      0.1
    ]
  },
  "chainer": {
    "in": [
      "x"
    ],
    "in_y": [
      "y"
    ],
    "pipe": [
      {
        "class_name": "bert_preprocessor",
        "vocab_file": "{MODEL_PATH}/vocab.txt",
        "do_lower_case": false,
        "max_seq_length": 200,
        "in": [
          "x"
        ],
        "out": [
          "bert_features"
        ]
      },
      {
        "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": "y_ids",
        "out": "y_onehot",
        "class_name": "one_hotter",
        "depth": "#classes_vocab.len",
        "single_vector": true
      },
      {
        "class_name": "bert_classifier",
        "n_classes": "#classes_vocab.len",
        "return_probas": true,
        "one_hot_labels": true,
        "bert_config_file": "{MODEL_PATH}/bert_config.json",
        "save_path": "{MODEL_PATH}/model",
        "load_path": "{MODEL_PATH}/model",
        "keep_prob": 0.5,
        "learning_rate": 1e-05,
        "learning_rate_drop_patience": 5,
        "learning_rate_drop_div": 2.0,
        "in": [
          "bert_features"
        ],
        "in_y": [
          "y_onehot"
        ],
        "out": [
          "y_pred_probas"
        ]
      },
      {
        "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": 100,
    "batch_size": 16,
    "metrics": [
      "accuracy",
      {
        "name": "roc_auc",
        "inputs": [
          "y_onehot",
          "y_pred_probas"
        ]
      },
      "f1_macro"
    ],
    "validation_patience": 5,
    "val_every_n_epochs": 1,
    "log_every_n_epochs": 1,
    "show_examples": false,
    "evaluation_targets": [
      "train",
      "valid",
      "test"
    ],
    "class_name": "nn_trainer",
    "tensorboard_log_dir": "{MODEL_PATH}/"
  },
  "metadata": {
    "variables": {
      "ROOT_PATH": "~/.deeppavlov",
      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
      "MODELS_PATH": "{ROOT_PATH}/models",
      "MODEL_PATH": "{MODELS_PATH}/classifiers/sentiment_yelp_bert_v1"
    },
    "requirements": [
      "{DEEPPAVLOV_PATH}/requirements/tf.txt",
      "{DEEPPAVLOV_PATH}/requirements/bert_dp.txt"
    ],
    "download": [
      {
        "url": "http://files.deeppavlov.ai/datasets/yelp_review_full_csv.tar.gz",
        "subdir": "{DOWNLOADS_PATH}"
      },
      {
        "url": "http://files.deeppavlov.ai/deeppavlov_data/classifiers/sentiment_yelp_bert_v1.tar.gz",
        "subdir": "{MODELS_PATH}/classifiers"
      }
    ]
  }
}