hf-tiny-v2/tiny-random-PatchTSMixerForRegression
09
1{2 "architectures": [3 "PatchTSMixerForRegression"4 ],5 "channel_consistent_masking": true,6 "context_length": 32,7 "d_model": 8,8 "distribution_output": "student_t",9 "dropout": 0.5,10 "dtype": "float32",11 "expansion_factor": 2,12 "forecast_mask_ratios": [13 1,14 115 ],16 "gated_attn": true,17 "head_aggregation": null,18 "head_dropout": 0.2,19 "init_std": 0.02,20 "loss": "mse",21 "mask_mode": "mask_before_encoder",22 "mask_patches": [23 2,24 325 ],26 "mask_type": "forecast",27 "mask_value": 0,28 "masked_loss": false,29 "mode": "common_channel",30 "model_type": "patchtsmixer",31 "norm_eps": 1e-05,32 "norm_mlp": "LayerNorm",33 "num_forecast_mask_patches": [34 235 ],36 "num_input_channels": 3,37 "num_layers": 2,38 "num_parallel_samples": 100,39 "num_patches": 4,40 "num_targets": 3,41 "out_channels": null,42 "output_range": null,43 "patch_last": true,44 "patch_length": 8,45 "patch_stride": 8,46 "positional_encoding_type": "sincos",47 "prediction_channel_indices": null,48 "prediction_length": 16,49 "random_mask_ratio": 0.5,50 "scaling": "std",51 "self_attn": false,52 "self_attn_heads": 1,53 "swin_hier": 0,54 "transformers_version": "5.16.0.dev0",55 "unmasked_channel_indices": null,56 "use_positional_encoding": false57}58 