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Upload PatchTSTForMaskPretraining
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{
"_name_or_path": "model/patchtst_etth_pretraining",
"activation_function": "gelu",
"architectures": [
"PatchTSTForMaskPretraining"
],
"attention_dropout": 0.0,
"bias": true,
"channel_attention": false,
"channel_consistent_masking": false,
"context_length": 512,
"d_model": 128,
"dropout": 0.3,
"dropout_path": 0.0,
"encoder_attention_heads": 16,
"encoder_ffn_dim": 512,
"encoder_layers": 6,
"ff_dropout": 0.0,
"head_dropout": 0.2,
"init_std": 0.02,
"learn_pe": false,
"mask_input": true,
"mask_patch_ratios": [
1,
1
],
"mask_patches": [
2,
3
],
"mask_ratio": 0.2,
"mask_type": "random",
"mask_value": 0,
"model_type": "patchtst",
"norm": "BatchNorm",
"num_classes": 0,
"num_input_channels": 7,
"num_output_channels": 1,
"num_patches": 42,
"patch_length": 12,
"pooling": null,
"positional_dropout": 0.0,
"positional_encoding": "sincos",
"pre_norm": false,
"prediction_length": 24,
"prediction_range": null,
"scaling": "mean",
"seed_number": null,
"shared_embedding": true,
"shared_projection": true,
"stride": 12,
"torch_dtype": "float32",
"transformers_version": "4.33.0.dev0",
"unmasked_channel_indices": null,
"use_cls_token": false
}