feat: align pmf transformer training and config defaults
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@@ -58,15 +58,17 @@ policy:
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- 84
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eval_fixed_crop: true
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horizon: 16
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min_time: 0.05
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n_action_steps: 8
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n_cond_layers: 0
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n_emb: 256
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n_head: 4
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n_layer: 8
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n_layer: 12
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n_obs_steps: 2
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n_time_tokens: 4
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noise_scale: 1.0
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adatloss_eps: 0.01
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p_mean: -0.4
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p_std: 1.0
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noise_scheduler:
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_target_: diffusers.schedulers.scheduling_ddpm.DDPMScheduler
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beta_end: 0.02
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@@ -76,13 +78,16 @@ policy:
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num_train_timesteps: 100
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prediction_type: sample
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variance_type: fixed_small
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num_inference_steps: 32
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num_inference_steps: 1
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obs_as_cond: true
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obs_encoder_group_norm: true
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p_drop_attn: 0.0
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p_drop_emb: 0.0
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pmf_u_loss_weight: 1.0
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pmf_v_loss_weight: 1.0
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tr_uniform: true
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tr_uniform_prob: 0.1
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data_proportion: 0.5
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shape_meta:
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action:
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shape:
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