emotions_xlm_roberta_base.json

{
  "dataset_reader": {
    "class_name": "huggingface_dataset_reader",
    "path": "cedr",
    "name": "main",
    "train": "train",
    "test": "test"
  },
  "dataset_iterator": {
    "class_name": "huggingface_dataset_iterator",
    "features": "text",
    "label": "labels",
    "seed": 42
  },
  "chainer": {
    "in": ["x"],
    "in_y": ["y"],
    "pipe": [
      {
        "class_name": "torch_transformers_preprocessor",
        "vocab_file": "{BASE_MODEL}",
        "do_lower_case": false,
        "max_seq_length": 128,
        "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": "{BASE_MODEL}",
        "save_path": "{MODEL_PATH}/model",
        "load_path": "{MODEL_PATH}/model",
        "optimizer": "AdamW",
        "optimizer_parameters": {
          "lr": 1e-05
        },
        "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",
        "max_proba": true
      },
      {
        "in": ["y_pred_ids"],
        "out": ["y_pred_labels"],
        "ref": "classes_vocab"
      }
    ],
    "out": ["y_pred_labels"]
  },
  "train": {
    "batch_size": 64,
    "metrics": [
      "accuracy",
      "f1_weighted",
      "f1_macro"
    ],
    "validation_patience": 10,
    "val_every_n_epochs": 1,
    "log_every_n_epochs": 1,
    "show_examples": false,
    "evaluation_targets": ["train", "test"],
    "class_name": "torch_trainer",
    "tensorboard_log_dir": "{MODEL_PATH}/",
    "pytest_max_batches": 2
  },
  "metadata": {
    "variables": {
      "BASE_MODEL": "xlm-roberta-base",
      "ROOT_PATH": "~/.deeppavlov",
      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
      "MODELS_PATH": "{ROOT_PATH}/models",
      "MODEL_PATH": "{MODELS_PATH}/emotions_classifier/{BASE_MODEL}"
    },
    "download": [
      {
        "url": "http://files.deeppavlov.ai/v1/classifiers/emotions/emotions_xlm_roberta_base.tar.gz",
        "subdir": "{MODEL_PATH}"
      }
    ]
  }
}