JHeisler's picture
S004 HybridACTDiffusion 40k — batch=28, lr=3.5e-5 from act_diffusion_full_20260425_1340
e2cf1e0 verified
{
"beta_end": 0.02,
"beta_schedule": "squaredcos_cap_v2",
"beta_start": 0.0001,
"chunk_size": 100,
"clip_sample": true,
"clip_sample_range": 1.0,
"diffusion_step_embed_dim": 128,
"dim_feedforward": 3200,
"dim_model": 512,
"do_mask_loss_for_padding": true,
"down_dims": [
256,
512
],
"dropout": 0.1,
"feedforward_activation": "relu",
"input_normalization_modes": {
"observation.images.cam_high": "mean_std",
"observation.images.cam_left_wrist": "mean_std",
"observation.state": "mean_std"
},
"input_shapes": {
"observation.images.cam_high": [
3,
480,
640
],
"observation.images.cam_left_wrist": [
3,
480,
640
],
"observation.state": [
9
]
},
"kernel_size": 5,
"n_action_steps": 100,
"n_encoder_layers": 4,
"n_groups": 8,
"n_heads": 8,
"n_obs_steps": 1,
"noise_scheduler_type": "DDPM",
"num_inference_steps": 10,
"num_train_timesteps": 100,
"output_normalization_modes": {
"action": "mean_std"
},
"output_shapes": {
"action": [
9
]
},
"pre_norm": false,
"prediction_type": "epsilon",
"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
"replace_final_stride_with_dilation": false,
"use_film_scale_modulation": true,
"vision_backbone": "resnet18"
}