kashif HF staff commited on
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31795c3
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Upload InformerForPrediction

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Files changed (2) hide show
  1. config.json +10 -50
  2. pytorch_model.bin +2 -2
config.json CHANGED
@@ -7,70 +7,30 @@
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  "attention_dropout": 0.1,
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  "attention_type": "prob",
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  "cardinality": [
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- 862
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  ],
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- "context_length": 48,
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- "d_model": 32,
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  "decoder_attention_heads": 2,
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  "decoder_ffn_dim": 32,
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  "decoder_layerdrop": 0.1,
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- "decoder_layers": 4,
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  "distil": true,
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  "distribution_output": "student_t",
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  "dropout": 0.05,
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  "embedding_dimension": [
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- 2
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  ],
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  "encoder_attention_heads": 2,
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  "encoder_ffn_dim": 32,
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  "encoder_layerdrop": 0.1,
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- "encoder_layers": 4,
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  "factor": 2,
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- "feature_size": 89,
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  "init_std": 0.02,
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  "input_size": 1,
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  "is_encoder_decoder": true,
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  "lags_sequence": [
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@@ -116,12 +76,12 @@
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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": 1,
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  "num_static_real_features": 0,
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  "num_time_features": 5,
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- "prediction_length": 48,
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  "sampling_factor": 5,
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- "scaling": "mean",
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  "torch_dtype": "float32",
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  "transformers_version": "4.30.0.dev0",
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  "use_cache": true
 
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  "attention_dropout": 0.1,
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  "attention_type": "prob",
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  "cardinality": [
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+ 0
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  ],
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+ "context_length": 24,
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+ "d_model": 16,
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  "decoder_attention_heads": 2,
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  "decoder_ffn_dim": 32,
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  "decoder_layerdrop": 0.1,
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+ "decoder_layers": 2,
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  "distil": true,
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  "distribution_output": "student_t",
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  "dropout": 0.05,
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  "embedding_dimension": [
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+ 0
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  ],
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  "encoder_attention_heads": 2,
25
  "encoder_ffn_dim": 32,
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  "encoder_layerdrop": 0.1,
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+ "encoder_layers": 2,
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  "factor": 2,
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+ "feature_size": 47,
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  "init_std": 0.02,
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  "input_size": 1,
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  "is_encoder_decoder": true,
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  "lags_sequence": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  2,
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  3,
 
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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": 5,
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+ "prediction_length": 24,
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  "sampling_factor": 5,
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+ "scaling": "std",
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  "torch_dtype": "float32",
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  "transformers_version": "4.30.0.dev0",
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  "use_cache": true
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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