ttm-research-r2 / config.json
vijaye12
adding 512 model with freq tuning
bac72b9
{
"adaptive_patching_levels": 3,
"architectures": [
"TinyTimeMixerForPrediction"
],
"categorical_vocab_size_list": null,
"context_length": 512,
"d_model": 192,
"d_model_scale": 3,
"decoder_adaptive_patching_levels": 0,
"decoder_d_model": 128,
"decoder_d_model_scale": 2,
"decoder_mode": "common_channel",
"decoder_num_layers": 2,
"decoder_raw_residual": false,
"distribution_output": "student_t",
"dropout": 0.4,
"enable_forecast_channel_mixing": false,
"exogenous_channel_indices": null,
"expansion_factor": 2,
"fcm_context_length": 1,
"fcm_gated_attn": true,
"fcm_mix_layers": 3,
"fcm_prepend_past": true,
"fcm_use_mixer": true,
"frequency_token_vocab_size": 8,
"gated_attn": true,
"head_dropout": 0.4,
"init_processing": true,
"init_std": 0.02,
"loss": "mse",
"mode": "common_channel",
"model_type": "tinytimemixer",
"norm_eps": 1e-05,
"norm_mlp": "LayerNorm",
"num_input_channels": 1,
"num_layers": 2,
"num_parallel_samples": 100,
"num_patches": 9,
"patch_last": true,
"patch_length": 64,
"patch_stride": 64,
"positional_encoding_type": "sincos",
"post_init": false,
"prediction_channel_indices": null,
"prediction_filter_length": null,
"prediction_length": 96,
"resolution_prefix_tuning": true,
"scaling": "std",
"self_attn": false,
"self_attn_heads": 1,
"stride_ratio": 1,
"torch_dtype": "float32",
"transformers_version": "4.37.2",
"use_decoder": true,
"use_positional_encoding": false
}