Upload PatchTSTForMaskPretraining
Browse files- config.json +59 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "model/patchtst_etth_pretraining",
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"activation_function": "gelu",
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"architectures": [
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"PatchTSTForMaskPretraining"
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],
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"attention_dropout": 0.0,
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"bias": true,
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"channel_attention": false,
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"channel_consistent_masking": false,
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"context_length": 512,
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"d_model": 128,
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"dropout": 0.3,
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"dropout_path": 0.0,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 512,
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"encoder_layers": 6,
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"ff_dropout": 0.0,
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"head_dropout": 0.2,
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"individual": false,
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"init_std": 0.02,
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"learn_pe": false,
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"mask_input": true,
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"mask_patch_ratios": [
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1,
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1
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],
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"mask_patches": [
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2,
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3
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],
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"mask_ratio": 0.2,
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"mask_type": "random",
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"mask_value": 0,
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"model_type": "patchtst",
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"norm": "BatchNorm",
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"num_classes": 0,
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"num_input_channels": 7,
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"num_output_channels": 1,
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"num_patches": 42,
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"patch_length": 12,
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"pooling": null,
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"positional_dropout": 0.0,
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"positional_encoding": "sincos",
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"pre_norm": false,
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"prediction_length": 24,
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"prediction_range": [
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0,
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1
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],
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"revin": true,
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"seed_number": null,
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"shared_embedding": true,
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"stride": 12,
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"torch_dtype": "float32",
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"transformers_version": "4.33.0.dev0",
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"unmasked_channel_indices": null,
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"use_cls_token": false
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:97c7e136189f6b2624f47acbed9ed61a4dbd44837600edb963ad28d799e6c83d
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size 4850033
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