hf-tiny-v2/tiny-random-PatchTSTForClassification
037
1{2 "activation_function": "gelu",3 "architectures": [4 "PatchTSTForClassification"5 ],6 "attention_dropout": 0.1,7 "bias": true,8 "channel_attention": false,9 "channel_consistent_masking": false,10 "context_length": 14,11 "d_model": 16,12 "distribution_output": "student_t",13 "do_mask_input": null,14 "dropout": 0.1,15 "dtype": "float32",16 "ff_dropout": 0.0,17 "ffn_dim": 4,18 "head_dropout": 0.0,19 "init_std": 0.02,20 "loss": "mse",21 "mask_type": "random",22 "mask_value": 0,23 "model_type": "patchtst",24 "norm_eps": 1e-05,25 "norm_type": "batchnorm",26 "num_attention_heads": 4,27 "num_forecast_mask_patches": [28 229 ],30 "num_hidden_layers": 2,31 "num_input_channels": 1,32 "num_parallel_samples": 100,33 "num_targets": 2,34 "output_range": null,35 "patch_length": 5,36 "patch_stride": 5,37 "path_dropout": 0.0,38 "pooling_type": "mean",39 "positional_dropout": 0.0,40 "positional_encoding_type": "sincos",41 "pre_norm": true,42 "prediction_length": 7,43 "random_mask_ratio": 0.0,44 "scaling": "std",45 "seed": 42,46 "share_embedding": true,47 "share_projection": true,48 "transformers_version": "5.16.0.dev0",49 "unmasked_channel_indices": null,50 "use_cls_token": false51}52 