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{ |
|
"_name_or_path": "huggingface/time-series-transformer-tourism-monthly", |
|
"activation_dropout": 0.1, |
|
"activation_function": "gelu", |
|
"architectures": [ |
|
"TimeSeriesTransformerForPrediction" |
|
], |
|
"attention_dropout": 0.1, |
|
"cardinality": [ |
|
366 |
|
], |
|
"context_length": 24, |
|
"d_model": 26, |
|
"decoder_attention_heads": 2, |
|
"decoder_ffn_dim": 32, |
|
"decoder_layerdrop": 0.1, |
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"decoder_layers": 2, |
|
"distribution_output": "student_t", |
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"dropout": 0.1, |
|
"embedding_dimension": [ |
|
6 |
|
], |
|
"encoder_attention_heads": 2, |
|
"encoder_ffn_dim": 32, |
|
"encoder_layerdrop": 0.1, |
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"encoder_layers": 2, |
|
"feature_size": 27, |
|
"init_std": 0.02, |
|
"input_size": 1, |
|
"is_encoder_decoder": true, |
|
"lags_sequence": [ |
|
1, |
|
2, |
|
3, |
|
4, |
|
5, |
|
6, |
|
7, |
|
11, |
|
12, |
|
13, |
|
23, |
|
24, |
|
25, |
|
35, |
|
36, |
|
37 |
|
], |
|
"loss": "nll", |
|
"model_type": "time_series_transformer", |
|
"num_dynamic_real_features": 0, |
|
"num_parallel_samples": 100, |
|
"num_static_categorical_features": 1, |
|
"num_static_real_features": 0, |
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"num_time_features": 2, |
|
"prediction_length": 24, |
|
"scaling": true, |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.27.0.dev0", |
|
"use_cache": true |
|
} |
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|