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dataset
dict
env
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policy
dict
output_dir
string
job_name
string
resume
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int64
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int64
batch_size
int64
steps
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{ "repo_id": "smolvla/smolvla_pi06_act_new", "root": null, "episodes": null, "image_transforms": { "enable": false, "max_num_transforms": 3, "random_order": false, "tfs": { "brightness": { "weight": 1, "type": "ColorJitter", "kwargs": { "brightness": [ ...
null
{ "type": "smolvla", "n_obs_steps": 1, "input_features": { "observation.state": { "type": "STATE", "shape": [ 6 ] }, "observation.images.camera1": { "type": "VISUAL", "shape": [ 3, 256, 256 ] }, "observation.images.camera2": {...
outputs/train/smolvla
my_smolvla_training
false
1,000
4
64
20,000
20,000
200
true
20,000
true
{ "type": "adamw", "lr": 0.0001, "weight_decay": 1e-10, "grad_clip_norm": 10, "betas": [ 0.9, 0.95 ], "eps": 1e-8 }
{ "type": "cosine_decay_with_warmup", "num_warmup_steps": 1000, "num_decay_steps": 30000, "peak_lr": 0.0001, "decay_lr": 0.0000025 }
{ "n_episodes": 50, "batch_size": 50, "use_async_envs": false }
{ "enable": true, "disable_artifact": false, "project": "lerobot", "entity": null, "notes": null, "run_id": "85ixkp3h", "mode": null }
null
{ "observation.images.front": "observation.images.camera1", "observation.images.right": "observation.images.camera2" }

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