russian_superglue_lidirus_rubert.json

{
  "dataset_reader": {
    "class_name": "huggingface_dataset_reader",
    "path": "{COMPETITION}",
    "name": "{TASK}",
    "test": "test"
  },
  "dataset_iterator": {
    "class_name": "huggingface_dataset_iterator",
    "features": ["sentence1", "sentence2"],
    "label": "label",
    "seed": 42
  },
  "chainer": {
    "in": ["sentence1", "sentence2"],
    "in_y": ["y"],
    "pipe": [
      {
        "class_name": "torch_transformers_preprocessor",
        "vocab_file": "{BASE_MODEL}",
        "do_lower_case": false,
        "max_seq_length": 256,
        "in": ["sentence1", "sentence2"],
        "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": "{BASE_MODEL}",
        "is_binary": "{BINARY_CLASSIFICATION}",
        "save_path": "{MODEL_PATH}/model",
        "load_path": "{MODEL_PATH}/model",
        "optimizer": "AdamW",
        "optimizer_parameters": {"lr": 2e-05, "weight_decay": 0.1},
        "learning_rate_drop_patience": 3,
        "learning_rate_drop_div": 2.0,
        "in": ["bert_features"],
        "in_y": ["y_ids"],
        "out": ["y_pred_probas"]
      },
      {
        "in": ["y_pred_probas"],
        "out": ["y_pred_ids"],
        "class_name": "proba2labels",
        "is_binary": "{BINARY_CLASSIFICATION}",
        "confidence_threshold": 0.5
      },
      {
        "in": ["y_pred_ids"],
        "out": ["y_pred_labels"],
        "ref": "classes_vocab"
      }
    ],
    "out": ["y_pred_labels"]
  },
  "train": {
    "batch_size": 16,
    "metrics": ["matthews_correlation"],
    "validation_patience": 10,
    "val_every_n_epochs": 1,
    "log_every_n_epochs": 1,
    "show_examples": false,
    "evaluation_targets": ["test"],
    "class_name": "torch_trainer",
    "tensorboard_log_dir": "{MODEL_PATH}/",
    "pytest_max_batches": 2,
    "pytest_batch_size": 2
  },
  "metadata": {
    "variables": {
      "BASE_MODEL": "DeepPavlov/rubert-base-cased",
      "ROOT_PATH": "~/.deeppavlov",
      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
      "MODELS_PATH": "{ROOT_PATH}/models",
      "COMPETITION": "russian_super_glue",
      "BINARY_CLASSIFICATION": false,
      "TASK": "lidirus",
      "MODEL_PATH": "{MODELS_PATH}/{COMPETITION}/terra/{BASE_MODEL}"
    },
    "download": [
      {
        "url": "http://files.deeppavlov.ai/v1/russian_super_glue/russian_superglue_terra_rubert.tar.gz",
        "subdir": "{MODEL_PATH}"
      }
    ]
  }
}