dataset dict | env null | policy dict | output_dir string | job_name string | resume bool | seed int64 | num_workers int64 | batch_size int64 | steps int64 | eval_freq int64 | log_freq int64 | save_checkpoint bool | save_freq int64 | use_policy_training_preset bool | optimizer dict | scheduler dict | eval dict | wandb dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"repo_id": "Benxiaogu/greencube",
"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": "diffusion",
"n_obs_steps": 2,
"normalization_mapping": {
"VISUAL": "MEAN_STD",
"STATE": "MIN_MAX",
"ACTION": "MIN_MAX"
},
"input_features": {
"observation.state": {
"type": "STATE",
"shape": [
6
]
},
"observation.images.top": {
"type": "VISUAL... | outputs/train/dp_greencube | my_dp_training | false | 1,000 | 4 | 32 | 240,000 | 20,000 | 200 | true | 80,000 | true | {
"type": "adam",
"lr": 0.0001,
"weight_decay": 0.000001,
"grad_clip_norm": 10,
"betas": [
0.95,
0.999
],
"eps": 1e-8
} | {
"type": "diffuser",
"num_warmup_steps": 500,
"name": "cosine"
} | {
"n_episodes": 50,
"batch_size": 50,
"use_async_envs": false
} | {
"enable": false,
"disable_artifact": false,
"project": "lerobot",
"entity": null,
"notes": null,
"run_id": null,
"mode": null
} |
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