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  1. config.json +86 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "architectures": [
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+ "InformerForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "attention_type": "prob",
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+ "cardinality": [
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+ "classifier_dropout": 0.2,
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+ "context_length": 300,
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+ "d_model": 768,
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+ "decoder_attention_heads": 12,
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+ "decoder_ffn_dim": 256,
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+ "decoder_layerdrop": 0.1,
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+ "decoder_layers": 8,
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+ "distil": false,
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+ "distribution_output": "student_t",
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+ "dropout": 0.2,
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+ "embedding_dimension": [
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+ ],
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+ "encoder_attention_heads": 12,
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+ "encoder_ffn_dim": 256,
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+ "encoder_layerdrop": 0.1,
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+ "encoder_layers": 8,
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+ "feature_size": 8,
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+ "fourier_pe": true,
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+ "has_labels": true,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ "4": "LABEL_4",
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+ "5": "LABEL_5",
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+ "6": "LABEL_6",
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+ "7": "LABEL_7",
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+ "8": "LABEL_8",
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+ "9": "LABEL_9",
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+ "10": "LABEL_10",
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+ "11": "LABEL_11",
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+ "12": "LABEL_12",
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+ "13": "LABEL_13"
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+ },
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+ "init_std": 0.02,
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+ "input_size": 2,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_10": 10,
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+ "LABEL_11": 11,
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+ "LABEL_2": 2,
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+ "LABEL_6": 6,
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+ },
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+ "lags_sequence": [
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+ 0
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+ ],
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+ "loss": "nll",
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+ "mask": true,
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+ "mask_probability": 0.6,
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+ "model_type": "informer",
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+ "num_dynamic_real_features": 0,
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+ "num_parallel_samples": 100,
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+ "num_static_categorical_features": 0,
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+ "num_static_real_features": 0,
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+ "num_time_features": 2,
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+ "prediction_length": 0,
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+ "regression": false,
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+ "sampling_factor": 5,
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+ "scaling": null,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.0",
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+ "use_cache": true
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+ }
pytorch_model.bin ADDED
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+ size 88577457