| { |
| "activation_function": "gelu", |
| "architectures": [ |
| "PatchTSTForPretraining" |
| ], |
| "attention_dropout": 0.0, |
| "bias": true, |
| "channel_attention": true, |
| "channel_consistent_masking": false, |
| "context_length": 512, |
| "channel_rope": true, |
| "d_model": 512, |
| "distribution_output": "student_t", |
| "do_mask_input": true, |
| "dropout": 0.0, |
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| "ffn_dim": 512, |
| "head_dropout": 0.0, |
| "huber_delta": 1.0, |
| "init_std": 0.02, |
| "loss": "mse", |
| "mask_type": "random", |
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| "max_wavelength": 500, |
| "mode": "pretrain", |
| "model_type": "patchtst", |
| "norm_eps": 1e-05, |
| "norm_type": "rmsnorm", |
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| "num_forecast_mask_patches": 3, |
| "num_hidden_layers": 8, |
| "num_input_channels": 1, |
| "num_parallel_samples": 100, |
| "num_poly_feats": 256, |
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| "output_range": null, |
| "patch_length": 16, |
| "patch_stride": 16, |
| "path_dropout": 0.0, |
| "poly_feat_degree": 2, |
| "pooling_type": "max", |
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| "positional_encoding_type": "sincos", |
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| "prediction_length": 128, |
| "pretrained_encoder_path": null, |
| "random_mask_ratio": 0.5, |
| "rff_trainable": true, |
| "rope_percent": 0.75, |
| "scaling": "std", |
| "share_embedding": true, |
| "share_projection": true, |
| "torch_dtype": "float32", |
| "transformers_version": "4.40.1", |
| "unmasked_channel_indices": null, |
| "use_cls_token": false, |
| "use_dynamics_embedding": false |
| } |
|
|