config.json

{
  "activation_dropout": 0.1,
  "activation_function": "gelu",
  "architectures": [
    "InformerForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "attention_type": "prob",
  "cardinality": [
    0
  ],
  "classifier_dropout": 0.2,
  "context_length": 300,
  "d_model": 768,
  "decoder_attention_heads": 12,
  "decoder_ffn_dim": 256,
  "decoder_layerdrop": 0.1,
  "decoder_layers": 8,
  "distil": false,
  "distribution_output": "student_t",
  "dropout": 0.2,
  "embedding_dimension": [
    0
  ],
  "encoder_attention_heads": 12,
  "encoder_ffn_dim": 256,
  "encoder_layerdrop": 0.1,
  "encoder_layers": 8,
  "feature_size": 8,
  "fourier_pe": true,
  "has_labels": true,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13"
  },
  "init_std": 0.02,
  "input_size": 2,
  "is_encoder_decoder": true,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "lags_sequence": [
    0
  ],
  "loss": "nll",
  "mask": true,
  "mask_probability": 0.6,
  "model_type": "informer",
  "num_dynamic_real_features": 0,
  "num_parallel_samples": 100,
  "num_static_categorical_features": 0,
  "num_static_real_features": 0,
  "num_time_features": 2,
  "prediction_length": 0,
  "regression": false,
  "sampling_factor": 5,
  "scaling": null,
  "torch_dtype": "float32",
  "transformers_version": "4.34.0",
  "use_cache": true
}