Instructions to use maximellerbach/folding_vla_jepa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use maximellerbach/folding_vla_jepa with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +8 -4
- model.safetensors +2 -2
- train_config.json +18 -12
README.md
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@@ -79,10 +79,10 @@ The policy consumes these observation features and produces these action feature
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| Setting | Value |
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| --- | --- |
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| Training steps |
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| Batch size | 16 |
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| Optimizer | adamw |
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| Learning rate |
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| Seed | 1000 |
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| LeRobot version | 0.6.1 |
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| Setting | Value |
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| --- | --- |
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| Training steps | 66686 |
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| Batch size | 16 |
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| Optimizer | adamw |
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| Learning rate | 0.0001 |
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| Seed | 1000 |
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| LeRobot version | 0.6.1 |
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config.json
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@@ -49,7 +49,7 @@
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"private": null,
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"tags": null,
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"license": null,
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-
"pretrained_path": "/fsx/maxime_ellerbach/robots/
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"pretrained_revision": null,
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"chunk_size": 30,
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"n_action_steps": 30,
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"action_noise_beta_alpha": 1.5,
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"action_noise_beta_beta": 1.0,
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"action_noise_s": 0.999,
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"num_target_vision_tokens": 32,
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"action_max_seq_len": 1024,
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"num_video_frames": 8,
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"predictor_depth": 12,
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"predictor_num_heads": 8,
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@@ -117,6 +117,7 @@
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"predictor_dropout": 0.0,
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"world_model_loss_weight": 0.1,
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"jepa_tubelet_size": 2,
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"repeated_diffusion_steps": 8,
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"resize_images_to": [
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224,
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"clip_normalized_actions": false,
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"gripper_dim": 6,
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"gripper_threshold": 0.5,
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"torch_dtype": "bfloat16",
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"optimizer_lr":
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"optimizer_betas": [
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0.9,
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0.95
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"optimizer_eps": 1e-08,
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"optimizer_weight_decay": 1e-08,
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"optimizer_grad_clip_norm": 1.0,
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"scheduler_warmup_steps":
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"scheduler_decay_steps": 30000,
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"scheduler_decay_lr": 2e-05
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}
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/fsx/maxime_ellerbach/robots/runs/folding-tshirt/vla_jepa_base_3cam",
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"pretrained_revision": null,
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"chunk_size": 30,
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"n_action_steps": 30,
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"action_noise_beta_alpha": 1.5,
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"action_noise_beta_beta": 1.0,
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"action_noise_s": 0.999,
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"action_max_seq_len": 1024,
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"num_target_vision_tokens": 32,
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"num_video_frames": 8,
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"predictor_depth": 12,
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"predictor_num_heads": 8,
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"predictor_dropout": 0.0,
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"world_model_loss_weight": 0.1,
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"jepa_tubelet_size": 2,
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"world_model_num_views": null,
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"repeated_diffusion_steps": 8,
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"resize_images_to": [
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224,
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"clip_normalized_actions": false,
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"gripper_dim": 6,
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"gripper_threshold": 0.5,
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"gripper_joint_names": [
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"gripper"
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],
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"torch_dtype": "bfloat16",
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"optimizer_lr": 0.0001,
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"optimizer_betas": [
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0.9,
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0.95
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"optimizer_eps": 1e-08,
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"optimizer_weight_decay": 1e-08,
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"optimizer_grad_clip_norm": 1.0,
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"scheduler_warmup_steps": 5000,
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"scheduler_decay_steps": 30000,
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"scheduler_decay_lr": 2e-05
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 6157857616
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train_config.json
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"private": null,
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"tags": null,
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"license": null,
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-
"pretrained_path": "/fsx/maxime_ellerbach/robots/
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"pretrained_revision": null,
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"chunk_size": 30,
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"n_action_steps": 30,
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"action_noise_beta_alpha": 1.5,
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"action_noise_beta_beta": 1.0,
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"action_noise_s": 0.999,
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-
"num_target_vision_tokens": 32,
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"action_max_seq_len": 1024,
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"num_video_frames": 8,
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"predictor_depth": 12,
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"predictor_num_heads": 8,
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"predictor_dropout": 0.0,
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"world_model_loss_weight": 0.1,
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"jepa_tubelet_size": 2,
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"repeated_diffusion_steps": 8,
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"resize_images_to": [
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224,
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"clip_normalized_actions": false,
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"gripper_dim": 6,
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"gripper_threshold": 0.5,
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"torch_dtype": "bfloat16",
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"optimizer_lr":
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"optimizer_betas": [
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0.9,
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0.95
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"optimizer_eps": 1e-08,
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"optimizer_weight_decay": 1e-08,
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"optimizer_grad_clip_norm": 1.0,
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-
"scheduler_warmup_steps":
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"scheduler_decay_steps": 30000,
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"scheduler_decay_lr": 2e-05
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},
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"reward_model": null,
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"output_dir": "outputs/train/
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"job_name": "
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"resume": false,
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"batch_size": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"
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"env_eval_freq": 20000,
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"log_freq": 50,
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"eval_steps": 0,
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"max_eval_samples": 0,
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"tolerance_s": 0.0001,
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"save_checkpoint": true,
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"save_freq":
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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"lr":
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"weight_decay": 1e-08,
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"grad_clip_norm": 1.0,
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"betas": [
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},
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"scheduler": {
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"type": "cosine_decay_with_warmup",
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"num_warmup_steps":
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"num_decay_steps": 30000,
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"peak_lr":
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"decay_lr": 2e-05
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},
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"eval": {
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"project": "folding-tshirt",
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"entity": null,
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"notes": null,
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"run_id": "
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"mode": null,
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"add_tags": true
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},
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/fsx/maxime_ellerbach/robots/runs/folding-tshirt/vla_jepa_base_3cam",
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"pretrained_revision": null,
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"chunk_size": 30,
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"n_action_steps": 30,
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"action_noise_beta_alpha": 1.5,
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"action_noise_beta_beta": 1.0,
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"action_noise_s": 0.999,
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"action_max_seq_len": 1024,
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"num_target_vision_tokens": 32,
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"num_video_frames": 8,
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"predictor_depth": 12,
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"predictor_num_heads": 8,
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"predictor_dropout": 0.0,
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"world_model_loss_weight": 0.1,
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"jepa_tubelet_size": 2,
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"world_model_num_views": null,
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"repeated_diffusion_steps": 8,
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"resize_images_to": [
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224,
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"clip_normalized_actions": false,
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"gripper_dim": 6,
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"gripper_threshold": 0.5,
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"gripper_joint_names": [
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"gripper"
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],
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"torch_dtype": "bfloat16",
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"optimizer_lr": 0.0001,
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"optimizer_betas": [
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0.9,
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0.95
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"optimizer_eps": 1e-08,
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"optimizer_weight_decay": 1e-08,
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"optimizer_grad_clip_norm": 1.0,
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"scheduler_warmup_steps": 5000,
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"scheduler_decay_steps": 30000,
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"scheduler_decay_lr": 2e-05
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},
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"reward_model": null,
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"output_dir": "outputs/train/folding_vla_jepa_refactor_lr_8799",
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"job_name": "folding_vla_jepa_refactor_lr",
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"resume": false,
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"rebuild_processors": false,
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"batch_size": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"dataloader_multiprocessing_context": "spawn",
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"steps": 66686,
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"env_eval_freq": 20000,
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"log_freq": 50,
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"eval_steps": 0,
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"max_eval_samples": 0,
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"tolerance_s": 0.0001,
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"save_checkpoint": true,
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"save_freq": 10000,
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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"lr": 0.0001,
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"weight_decay": 1e-08,
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"grad_clip_norm": 1.0,
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"betas": [
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},
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"scheduler": {
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"type": "cosine_decay_with_warmup",
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"num_warmup_steps": 5000,
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"num_decay_steps": 30000,
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"peak_lr": 0.0001,
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"decay_lr": 2e-05
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},
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"eval": {
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"project": "folding-tshirt",
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"entity": null,
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"notes": null,
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"run_id": "gsj0i9xi",
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"mode": null,
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"add_tags": true
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},
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