pixelGunClassificationUsingIPavlov/pixelGunClassification.json at master · GraphGrail/pixelGunClassificationUsingIPavlov · GitHub

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{
  "deeppavlov_root": "",
  "dataset_reader": {
    "name": "basic_classification_reader",
    "data_path": "",
    "sep": "\t"
  },
  "dataset_iterator": {
    "name": "basic_classification_iterator",
    "seed": 42,
    "fields_to_merge": [
      "train",
      "valid"
    ],
    "merged_field": "train",
    "field_to_split": "train",
    "split_fields": [
      "train",
      "valid"
    ],
    "split_proportions": [
      0.9,
      0.1
    ]
  },
  "chainer": {
    "in": ["x"],
    "in_y": ["y"],
    "pipe": [
      {
        "id": "pixelGunClasses_vocab",
        "name": "default_vocab",
        "fit_on": ["y"],
        "level": "token",
        "save_path": "pixelGunCategory.dict",
        "load_path": "pixelGunCategory.dict"
      },
      {
        "in": ["x"],
        "in_y": ["y"],
        "out": ["y_predicted"],
        "main": true,
        "name": "intent_model",
        "save_path": "pixelGunclassification_cnn",
        "load_path": "pixelGunclassification_cnn",
        "classes": "#pixelGunClasses_vocab.keys()",
        "opt": {
          "kernel_sizes_cnn": [
            3,
            3,
            3
          ],
          "filters_cnn": 512,
          "confident_threshold": 0.5,
          "optimizer": "Adam",
          "lear_rate": 0.1,
          "lear_rate_decay": 0.1,
          "loss": "binary_crossentropy",
          "text_size": 15,
          "coef_reg_cnn": 1e-4,
          "coef_reg_den": 1e-4,
          "dropout_rate": 0.5,
          "dense_size": 200,
          "model_name": "cnn_model"
        },
        "embedder": {
          "name": "fasttext",
          "save_path": "Link to wiki.en.bin",
          "load_path": "Link to wiki.en.bin",
          "emb_module": "fasttext",
          "dim": 300
        },
        "tokenizer": {
          "name": "nltk_tokenizer",
          "tokenizer": "wordpunct_tokenize"
        }
      }
    ],
    "out": ["y_predicted"]
  },
  "train": {
    "epochs": 100,
    "batch_size": 64,
    "metrics": [
      "sets_accuracy"
    ],
    "validation_patience": 5,
    "val_every_n_epochs": 5,
    "log_every_n_batches": 100,
    "show_examples": false
  }
}