training complete :>
Browse files- config.json +86 -0
- model.safetensors +3 -0
config.json
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{
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"type": "diffusion",
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"n_obs_steps": 2,
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"normalization_mapping": {
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"STATE": "MIN_MAX",
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"ENV": "MIN_MAX",
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"ACTION": "MIN_MAX",
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"VISUAL": "IDENTITY"
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},
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"input_features": {
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"observation.image": {
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"type": "VISUAL",
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"shape": [
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3,
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96,
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96
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]
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},
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"observation.state": {
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"type": "STATE",
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"shape": [
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2
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]
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}
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},
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"output_features": {
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"action": {
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"type": "ACTION",
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"shape": [
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2
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]
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}
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},
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"device": "cpu",
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"use_amp": false,
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"horizon": 16,
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"n_action_steps": 8,
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"drop_n_last_frames": 7,
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"vision_backbone": "resnet18",
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"crop_shape": [
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76,
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76
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],
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"crop_is_random": true,
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"pretrained_backbone_weights": null,
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"use_group_norm": true,
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"spatial_softmax_num_keypoints": 32,
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"use_separate_rgb_encoder_per_camera": true,
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"state_backbone": null,
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"state_encoder_block_channels": [
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64,
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256
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],
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"state_encoder_feature_dim": 256,
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"state_encoder_use_layernorm": true,
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"down_dims": [
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512,
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1024,
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2048
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],
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"kernel_size": 5,
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"n_groups": 8,
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"diffusion_step_embed_dim": 128,
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"use_film_scale_modulation": true,
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"noise_scheduler_type": "DDPM",
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"num_train_timesteps": 100,
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"beta_schedule": "squaredcos_cap_v2",
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"beta_start": 0.0001,
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"beta_end": 0.02,
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"prediction_type": "epsilon",
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"clip_sample": true,
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"clip_sample_range": 1.0,
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"variance_type": "fixed_small",
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"num_inference_steps": null,
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"do_mask_loss_for_padding": false,
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"optimizer_type": "adamw",
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"optimizer_lr": 0.0001,
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"optimizer_betas": [
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0.95,
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0.999
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],
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"optimizer_eps": 1e-08,
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"optimizer_weight_decay": 1e-06,
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"scheduler_name": "cosine",
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"scheduler_warmup_steps": 500
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}
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model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:2aad5c305cc27b04538da3334c23f1640042943cfbf49d11c31d3baf3502570d
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size 1050862280
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