sentiment_sst_conv_bert.json

{
  "dataset_reader": {
    "class_name": "basic_classification_reader",
    "x": "text",
    "y": "fine_grained_label",
    "data_path": "{DOWNLOADS_PATH}/stanfordSentimentTreebank",
    "train": "train_fine_grained.csv",
    "valid": "valid_fine_grained.csv",
    "test": "test_fine_grained.csv"
  },
  "dataset_iterator": {
    "class_name": "basic_classification_iterator",
    "seed": 42
  },
  "chainer": {
    "in": [
      "x"
    ],
    "in_y": [
      "y"
    ],
    "pipe": [
      {
        "class_name": "torch_transformers_preprocessor",
        "vocab_file": "{TRANSFORMER}",
        "do_lower_case": false,
        "max_seq_length": 64,
        "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": "torch_transformers_classifier",
        "n_classes": "#classes_vocab.len",
        "return_probas": true,
        "pretrained_bert": "{TRANSFORMER}",
        "save_path": "{MODEL_PATH}/model",
        "load_path": "{MODEL_PATH}/model",
        "optimizer_parameters": {"lr": 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": 64,
    "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": "torch_trainer"
  },
  "metadata": {
    "variables": {
      "ROOT_PATH": "~/.deeppavlov",
      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
      "MODELS_PATH": "{ROOT_PATH}/models",
      "MODEL_PATH": "{MODELS_PATH}/classifiers/sentiment_sst_bert_torch",
      "TRANSFORMER": "DeepPavlov/bert-base-cased-conversational"
    },
    "download": [
      {
        "url": "http://files.deeppavlov.ai/datasets/stanfordSentimentTreebank.zip",
        "subdir": "{DOWNLOADS_PATH}"
      },
      {
        "url": "http://files.deeppavlov.ai/v1/classifiers/sentiment_sst_bert/sentiment_sst_bert_torch.tar.gz",
        "subdir": "{MODEL_PATH}"
      }
    ]
  }
}