| { |
| "architectures": [ |
| "TimeSeriesTransformerForPrediction" |
| ], |
| "context_length": 168, |
| "d_model": 64, |
| "decoder_attention_heads": 4, |
| "decoder_ffn_dim": 256, |
| "decoder_layers": 3, |
| "distribution_output": "student_t", |
| "dropout": 0.1, |
| "encoder_attention_heads": 4, |
| "encoder_ffn_dim": 256, |
| "encoder_layers": 3, |
| "feature_size": 14, |
| "input_size": 1, |
| "lags_sequence": [1, 2, 3, 4, 5, 6, 7, 24, 168], |
| "loss": "negative_log_likelihood", |
| "model_type": "time_series_transformer", |
| "num_parallel_samples": 100, |
| "prediction_length": 24, |
| "scaling": "mean", |
| "torch_dtype": "float32", |
| "transformers_version": "4.36.0" |
| } |
