Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- groot_inst/checkpoints/050000/pretrained_model/config.json +94 -0
- groot_inst/checkpoints/050000/pretrained_model/model.safetensors +3 -0
- groot_inst/checkpoints/050000/pretrained_model/policy_postprocessor.json +20 -0
- groot_inst/checkpoints/050000/pretrained_model/policy_postprocessor_step_0_groot_action_unpack_unnormalize_v1.safetensors +3 -0
- groot_inst/checkpoints/050000/pretrained_model/policy_preprocessor.json +52 -0
- groot_inst/checkpoints/050000/pretrained_model/policy_preprocessor_step_2_groot_pack_inputs_v3.safetensors +3 -0
- groot_inst/checkpoints/050000/pretrained_model/train_config.json +223 -0
- groot_inst/checkpoints/050000/training_state/optimizer_param_groups.json +919 -0
- groot_inst/checkpoints/050000/training_state/optimizer_state.safetensors +3 -0
- groot_inst/checkpoints/050000/training_state/rng_state.safetensors +3 -0
- groot_inst/checkpoints/050000/training_state/scheduler_state.json +14 -0
- groot_inst/checkpoints/050000/training_state/training_step.json +3 -0
- groot_inst/wandb/debug-internal.log +11 -0
- groot_inst/wandb/debug.log +23 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/files/config.yaml +269 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/files/output.log +302 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/files/requirements.txt +127 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/files/wandb-metadata.json +77 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/files/wandb-summary.json +1 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug-core.log +14 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug-internal.log +11 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug.log +23 -0
- groot_inst/wandb/run-20251105_181814-vji6t8cn/run-vji6t8cn.wandb +3 -0
.gitattributes
CHANGED
|
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
groot_guide/wandb/run-20251105_181758-36dks4ke/run-36dks4ke.wandb filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
groot_guide/wandb/run-20251105_181758-36dks4ke/run-36dks4ke.wandb filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
groot_inst/wandb/run-20251105_181814-vji6t8cn/run-vji6t8cn.wandb filter=lfs diff=lfs merge=lfs -text
|
groot_inst/checkpoints/050000/pretrained_model/config.json
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "groot",
|
| 3 |
+
"n_obs_steps": 1,
|
| 4 |
+
"input_features": {
|
| 5 |
+
"observation.state": {
|
| 6 |
+
"type": "STATE",
|
| 7 |
+
"shape": [
|
| 8 |
+
32
|
| 9 |
+
]
|
| 10 |
+
},
|
| 11 |
+
"observation.images.wrist": {
|
| 12 |
+
"type": "VISUAL",
|
| 13 |
+
"shape": [
|
| 14 |
+
3,
|
| 15 |
+
224,
|
| 16 |
+
224
|
| 17 |
+
]
|
| 18 |
+
},
|
| 19 |
+
"observation.images.right_shoulder": {
|
| 20 |
+
"type": "VISUAL",
|
| 21 |
+
"shape": [
|
| 22 |
+
3,
|
| 23 |
+
224,
|
| 24 |
+
224
|
| 25 |
+
]
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"output_features": {
|
| 29 |
+
"action": {
|
| 30 |
+
"type": "ACTION",
|
| 31 |
+
"shape": [
|
| 32 |
+
32
|
| 33 |
+
]
|
| 34 |
+
},
|
| 35 |
+
"action.skill_id": {
|
| 36 |
+
"type": "ACTION",
|
| 37 |
+
"shape": [
|
| 38 |
+
1
|
| 39 |
+
]
|
| 40 |
+
}
|
| 41 |
+
},
|
| 42 |
+
"device": "cuda",
|
| 43 |
+
"use_amp": false,
|
| 44 |
+
"push_to_hub": false,
|
| 45 |
+
"repo_id": "paragon7060/groot",
|
| 46 |
+
"private": null,
|
| 47 |
+
"tags": null,
|
| 48 |
+
"license": null,
|
| 49 |
+
"pretrained_path": null,
|
| 50 |
+
"chunk_size": 50,
|
| 51 |
+
"n_action_steps": 50,
|
| 52 |
+
"max_state_dim": 64,
|
| 53 |
+
"max_action_dim": 32,
|
| 54 |
+
"normalization_mapping": {
|
| 55 |
+
"VISUAL": "IDENTITY",
|
| 56 |
+
"STATE": "MEAN_STD",
|
| 57 |
+
"ACTION": "MEAN_STD"
|
| 58 |
+
},
|
| 59 |
+
"image_size": [
|
| 60 |
+
224,
|
| 61 |
+
224
|
| 62 |
+
],
|
| 63 |
+
"base_model_path": "nvidia/GR00T-N1.5-3B",
|
| 64 |
+
"tokenizer_assets_repo": "lerobot/eagle2hg-processor-groot-n1p5",
|
| 65 |
+
"embodiment_tag": "new_embodiment",
|
| 66 |
+
"tune_llm": false,
|
| 67 |
+
"tune_visual": false,
|
| 68 |
+
"tune_projector": true,
|
| 69 |
+
"tune_diffusion_model": true,
|
| 70 |
+
"lora_rank": 0,
|
| 71 |
+
"lora_alpha": 16,
|
| 72 |
+
"lora_dropout": 0.1,
|
| 73 |
+
"lora_full_model": false,
|
| 74 |
+
"optimizer_lr": 0.0001,
|
| 75 |
+
"optimizer_betas": [
|
| 76 |
+
0.95,
|
| 77 |
+
0.999
|
| 78 |
+
],
|
| 79 |
+
"optimizer_eps": 1e-08,
|
| 80 |
+
"optimizer_weight_decay": 1e-05,
|
| 81 |
+
"warmup_ratio": 0.05,
|
| 82 |
+
"use_bf16": true,
|
| 83 |
+
"video_backend": "decord",
|
| 84 |
+
"balance_dataset_weights": true,
|
| 85 |
+
"balance_trajectory_weights": true,
|
| 86 |
+
"dataset_paths": null,
|
| 87 |
+
"output_dir": "./tmp/gr00t",
|
| 88 |
+
"save_steps": 1000,
|
| 89 |
+
"max_steps": 10000,
|
| 90 |
+
"batch_size": 128,
|
| 91 |
+
"dataloader_num_workers": 8,
|
| 92 |
+
"report_to": "wandb",
|
| 93 |
+
"resume": false
|
| 94 |
+
}
|
groot_inst/checkpoints/050000/pretrained_model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5fab984c66642b2002d0bda4ad6abb10cd2a349ce4f1f447fd84b1d9243c6ee
|
| 3 |
+
size 6964802952
|
groot_inst/checkpoints/050000/pretrained_model/policy_postprocessor.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "policy_postprocessor",
|
| 3 |
+
"steps": [
|
| 4 |
+
{
|
| 5 |
+
"registry_name": "groot_action_unpack_unnormalize_v1",
|
| 6 |
+
"config": {
|
| 7 |
+
"env_action_dim": 32,
|
| 8 |
+
"normalize_min_max": true
|
| 9 |
+
},
|
| 10 |
+
"state_file": "policy_postprocessor_step_0_groot_action_unpack_unnormalize_v1.safetensors"
|
| 11 |
+
},
|
| 12 |
+
{
|
| 13 |
+
"registry_name": "device_processor",
|
| 14 |
+
"config": {
|
| 15 |
+
"device": "cpu",
|
| 16 |
+
"float_dtype": null
|
| 17 |
+
}
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
}
|
groot_inst/checkpoints/050000/pretrained_model/policy_postprocessor_step_0_groot_action_unpack_unnormalize_v1.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80b42cea9befdb79fa34b322f9c72c4f708601c08f28b54cbd4c57c02d87212c
|
| 3 |
+
size 14000
|
groot_inst/checkpoints/050000/pretrained_model/policy_preprocessor.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "policy_preprocessor",
|
| 3 |
+
"steps": [
|
| 4 |
+
{
|
| 5 |
+
"registry_name": "rename_observations_processor",
|
| 6 |
+
"config": {
|
| 7 |
+
"rename_map": {}
|
| 8 |
+
}
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"registry_name": "to_batch_processor",
|
| 12 |
+
"config": {}
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"registry_name": "groot_pack_inputs_v3",
|
| 16 |
+
"config": {
|
| 17 |
+
"state_horizon": 1,
|
| 18 |
+
"action_horizon": 16,
|
| 19 |
+
"max_state_dim": 64,
|
| 20 |
+
"max_action_dim": 32,
|
| 21 |
+
"language_key": "task",
|
| 22 |
+
"formalize_language": false,
|
| 23 |
+
"embodiment_tag": "new_embodiment",
|
| 24 |
+
"embodiment_mapping": {
|
| 25 |
+
"new_embodiment": 31,
|
| 26 |
+
"oxe_droid": 17,
|
| 27 |
+
"agibot_genie1": 26,
|
| 28 |
+
"gr1": 24,
|
| 29 |
+
"so100": 2,
|
| 30 |
+
"unitree_g1": 3
|
| 31 |
+
},
|
| 32 |
+
"normalize_min_max": true
|
| 33 |
+
},
|
| 34 |
+
"state_file": "policy_preprocessor_step_2_groot_pack_inputs_v3.safetensors"
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"registry_name": "groot_eagle_encode_v3",
|
| 38 |
+
"config": {}
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"registry_name": "groot_eagle_collate_v3",
|
| 42 |
+
"config": {}
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"registry_name": "device_processor",
|
| 46 |
+
"config": {
|
| 47 |
+
"device": "cuda",
|
| 48 |
+
"float_dtype": null
|
| 49 |
+
}
|
| 50 |
+
}
|
| 51 |
+
]
|
| 52 |
+
}
|
groot_inst/checkpoints/050000/pretrained_model/policy_preprocessor_step_2_groot_pack_inputs_v3.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80b42cea9befdb79fa34b322f9c72c4f708601c08f28b54cbd4c57c02d87212c
|
| 3 |
+
size 14000
|
groot_inst/checkpoints/050000/pretrained_model/train_config.json
ADDED
|
@@ -0,0 +1,223 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset": {
|
| 3 |
+
"repo_id": "paragon7060/INSIGHTfixposV3",
|
| 4 |
+
"root": "/home/seonho/workspace/data/paragon7060/INSIGHTfixposV3",
|
| 5 |
+
"episodes": null,
|
| 6 |
+
"image_transforms": {
|
| 7 |
+
"enable": false,
|
| 8 |
+
"max_num_transforms": 3,
|
| 9 |
+
"random_order": false,
|
| 10 |
+
"tfs": {
|
| 11 |
+
"brightness": {
|
| 12 |
+
"weight": 1.0,
|
| 13 |
+
"type": "ColorJitter",
|
| 14 |
+
"kwargs": {
|
| 15 |
+
"brightness": [
|
| 16 |
+
0.8,
|
| 17 |
+
1.2
|
| 18 |
+
]
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"contrast": {
|
| 22 |
+
"weight": 1.0,
|
| 23 |
+
"type": "ColorJitter",
|
| 24 |
+
"kwargs": {
|
| 25 |
+
"contrast": [
|
| 26 |
+
0.8,
|
| 27 |
+
1.2
|
| 28 |
+
]
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"saturation": {
|
| 32 |
+
"weight": 1.0,
|
| 33 |
+
"type": "ColorJitter",
|
| 34 |
+
"kwargs": {
|
| 35 |
+
"saturation": [
|
| 36 |
+
0.5,
|
| 37 |
+
1.5
|
| 38 |
+
]
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"hue": {
|
| 42 |
+
"weight": 1.0,
|
| 43 |
+
"type": "ColorJitter",
|
| 44 |
+
"kwargs": {
|
| 45 |
+
"hue": [
|
| 46 |
+
-0.05,
|
| 47 |
+
0.05
|
| 48 |
+
]
|
| 49 |
+
}
|
| 50 |
+
},
|
| 51 |
+
"sharpness": {
|
| 52 |
+
"weight": 1.0,
|
| 53 |
+
"type": "SharpnessJitter",
|
| 54 |
+
"kwargs": {
|
| 55 |
+
"sharpness": [
|
| 56 |
+
0.5,
|
| 57 |
+
1.5
|
| 58 |
+
]
|
| 59 |
+
}
|
| 60 |
+
},
|
| 61 |
+
"affine": {
|
| 62 |
+
"weight": 1.0,
|
| 63 |
+
"type": "RandomAffine",
|
| 64 |
+
"kwargs": {
|
| 65 |
+
"degrees": [
|
| 66 |
+
-5.0,
|
| 67 |
+
5.0
|
| 68 |
+
],
|
| 69 |
+
"translate": [
|
| 70 |
+
0.05,
|
| 71 |
+
0.05
|
| 72 |
+
]
|
| 73 |
+
}
|
| 74 |
+
}
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"revision": null,
|
| 78 |
+
"use_imagenet_stats": true,
|
| 79 |
+
"video_backend": "pyav",
|
| 80 |
+
"streaming": false
|
| 81 |
+
},
|
| 82 |
+
"env": null,
|
| 83 |
+
"policy": {
|
| 84 |
+
"type": "groot",
|
| 85 |
+
"n_obs_steps": 1,
|
| 86 |
+
"input_features": {
|
| 87 |
+
"observation.state": {
|
| 88 |
+
"type": "STATE",
|
| 89 |
+
"shape": [
|
| 90 |
+
32
|
| 91 |
+
]
|
| 92 |
+
},
|
| 93 |
+
"observation.images.wrist": {
|
| 94 |
+
"type": "VISUAL",
|
| 95 |
+
"shape": [
|
| 96 |
+
3,
|
| 97 |
+
224,
|
| 98 |
+
224
|
| 99 |
+
]
|
| 100 |
+
},
|
| 101 |
+
"observation.images.right_shoulder": {
|
| 102 |
+
"type": "VISUAL",
|
| 103 |
+
"shape": [
|
| 104 |
+
3,
|
| 105 |
+
224,
|
| 106 |
+
224
|
| 107 |
+
]
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
"output_features": {
|
| 111 |
+
"action": {
|
| 112 |
+
"type": "ACTION",
|
| 113 |
+
"shape": [
|
| 114 |
+
32
|
| 115 |
+
]
|
| 116 |
+
},
|
| 117 |
+
"action.skill_id": {
|
| 118 |
+
"type": "ACTION",
|
| 119 |
+
"shape": [
|
| 120 |
+
1
|
| 121 |
+
]
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"device": "cuda",
|
| 125 |
+
"use_amp": false,
|
| 126 |
+
"push_to_hub": false,
|
| 127 |
+
"repo_id": "paragon7060/groot",
|
| 128 |
+
"private": null,
|
| 129 |
+
"tags": null,
|
| 130 |
+
"license": null,
|
| 131 |
+
"pretrained_path": null,
|
| 132 |
+
"chunk_size": 50,
|
| 133 |
+
"n_action_steps": 50,
|
| 134 |
+
"max_state_dim": 64,
|
| 135 |
+
"max_action_dim": 32,
|
| 136 |
+
"normalization_mapping": {
|
| 137 |
+
"VISUAL": "IDENTITY",
|
| 138 |
+
"STATE": "MEAN_STD",
|
| 139 |
+
"ACTION": "MEAN_STD"
|
| 140 |
+
},
|
| 141 |
+
"image_size": [
|
| 142 |
+
224,
|
| 143 |
+
224
|
| 144 |
+
],
|
| 145 |
+
"base_model_path": "nvidia/GR00T-N1.5-3B",
|
| 146 |
+
"tokenizer_assets_repo": "lerobot/eagle2hg-processor-groot-n1p5",
|
| 147 |
+
"embodiment_tag": "new_embodiment",
|
| 148 |
+
"tune_llm": false,
|
| 149 |
+
"tune_visual": false,
|
| 150 |
+
"tune_projector": true,
|
| 151 |
+
"tune_diffusion_model": true,
|
| 152 |
+
"lora_rank": 0,
|
| 153 |
+
"lora_alpha": 16,
|
| 154 |
+
"lora_dropout": 0.1,
|
| 155 |
+
"lora_full_model": false,
|
| 156 |
+
"optimizer_lr": 0.0001,
|
| 157 |
+
"optimizer_betas": [
|
| 158 |
+
0.95,
|
| 159 |
+
0.999
|
| 160 |
+
],
|
| 161 |
+
"optimizer_eps": 1e-08,
|
| 162 |
+
"optimizer_weight_decay": 1e-05,
|
| 163 |
+
"warmup_ratio": 0.05,
|
| 164 |
+
"use_bf16": true,
|
| 165 |
+
"video_backend": "decord",
|
| 166 |
+
"balance_dataset_weights": true,
|
| 167 |
+
"balance_trajectory_weights": true,
|
| 168 |
+
"dataset_paths": null,
|
| 169 |
+
"output_dir": "./tmp/gr00t",
|
| 170 |
+
"save_steps": 1000,
|
| 171 |
+
"max_steps": 10000,
|
| 172 |
+
"batch_size": 128,
|
| 173 |
+
"dataloader_num_workers": 8,
|
| 174 |
+
"report_to": "wandb",
|
| 175 |
+
"resume": false
|
| 176 |
+
},
|
| 177 |
+
"output_dir": "outputs/groot_inst",
|
| 178 |
+
"job_name": "groot_inst",
|
| 179 |
+
"resume": false,
|
| 180 |
+
"seed": 1000,
|
| 181 |
+
"num_workers": 4,
|
| 182 |
+
"batch_size": 8,
|
| 183 |
+
"steps": 50000,
|
| 184 |
+
"eval_freq": 20000,
|
| 185 |
+
"log_freq": 200,
|
| 186 |
+
"save_checkpoint": true,
|
| 187 |
+
"save_freq": 20000,
|
| 188 |
+
"use_policy_training_preset": true,
|
| 189 |
+
"optimizer": {
|
| 190 |
+
"type": "adamw",
|
| 191 |
+
"lr": 0.0001,
|
| 192 |
+
"weight_decay": 1e-05,
|
| 193 |
+
"grad_clip_norm": 10.0,
|
| 194 |
+
"betas": [
|
| 195 |
+
0.95,
|
| 196 |
+
0.999
|
| 197 |
+
],
|
| 198 |
+
"eps": 1e-08
|
| 199 |
+
},
|
| 200 |
+
"scheduler": {
|
| 201 |
+
"type": "cosine_decay_with_warmup",
|
| 202 |
+
"num_warmup_steps": 500,
|
| 203 |
+
"num_decay_steps": 10000,
|
| 204 |
+
"peak_lr": 0.0001,
|
| 205 |
+
"decay_lr": 1e-05
|
| 206 |
+
},
|
| 207 |
+
"eval": {
|
| 208 |
+
"n_episodes": 50,
|
| 209 |
+
"batch_size": 50,
|
| 210 |
+
"use_async_envs": false
|
| 211 |
+
},
|
| 212 |
+
"wandb": {
|
| 213 |
+
"enable": true,
|
| 214 |
+
"disable_artifact": true,
|
| 215 |
+
"project": "groot_guide",
|
| 216 |
+
"entity": "RwHlabs",
|
| 217 |
+
"notes": null,
|
| 218 |
+
"run_id": "vji6t8cn",
|
| 219 |
+
"mode": null
|
| 220 |
+
},
|
| 221 |
+
"checkpoint_path": null,
|
| 222 |
+
"rename_map": {}
|
| 223 |
+
}
|
groot_inst/checkpoints/050000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,919 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"lr": 1e-05,
|
| 4 |
+
"betas": [
|
| 5 |
+
0.95,
|
| 6 |
+
0.999
|
| 7 |
+
],
|
| 8 |
+
"eps": 1e-08,
|
| 9 |
+
"weight_decay": 1e-05,
|
| 10 |
+
"amsgrad": false,
|
| 11 |
+
"maximize": false,
|
| 12 |
+
"foreach": null,
|
| 13 |
+
"capturable": false,
|
| 14 |
+
"differentiable": false,
|
| 15 |
+
"fused": null,
|
| 16 |
+
"decoupled_weight_decay": true,
|
| 17 |
+
"initial_lr": 0.0001,
|
| 18 |
+
"params": [
|
| 19 |
+
0,
|
| 20 |
+
1,
|
| 21 |
+
2,
|
| 22 |
+
3,
|
| 23 |
+
4,
|
| 24 |
+
5,
|
| 25 |
+
6,
|
| 26 |
+
7,
|
| 27 |
+
8,
|
| 28 |
+
9,
|
| 29 |
+
10,
|
| 30 |
+
11,
|
| 31 |
+
12,
|
| 32 |
+
13,
|
| 33 |
+
14,
|
| 34 |
+
15,
|
| 35 |
+
16,
|
| 36 |
+
17,
|
| 37 |
+
18,
|
| 38 |
+
19,
|
| 39 |
+
20,
|
| 40 |
+
21,
|
| 41 |
+
22,
|
| 42 |
+
23,
|
| 43 |
+
24,
|
| 44 |
+
25,
|
| 45 |
+
26,
|
| 46 |
+
27,
|
| 47 |
+
28,
|
| 48 |
+
29,
|
| 49 |
+
30,
|
| 50 |
+
31,
|
| 51 |
+
32,
|
| 52 |
+
33,
|
| 53 |
+
34,
|
| 54 |
+
35,
|
| 55 |
+
36,
|
| 56 |
+
37,
|
| 57 |
+
38,
|
| 58 |
+
39,
|
| 59 |
+
40,
|
| 60 |
+
41,
|
| 61 |
+
42,
|
| 62 |
+
43,
|
| 63 |
+
44,
|
| 64 |
+
45,
|
| 65 |
+
46,
|
| 66 |
+
47,
|
| 67 |
+
48,
|
| 68 |
+
49,
|
| 69 |
+
50,
|
| 70 |
+
51,
|
| 71 |
+
52,
|
| 72 |
+
53,
|
| 73 |
+
54,
|
| 74 |
+
55,
|
| 75 |
+
56,
|
| 76 |
+
57,
|
| 77 |
+
58,
|
| 78 |
+
59,
|
| 79 |
+
60,
|
| 80 |
+
61,
|
| 81 |
+
62,
|
| 82 |
+
63,
|
| 83 |
+
64,
|
| 84 |
+
65,
|
| 85 |
+
66,
|
| 86 |
+
67,
|
| 87 |
+
68,
|
| 88 |
+
69,
|
| 89 |
+
70,
|
| 90 |
+
71,
|
| 91 |
+
72,
|
| 92 |
+
73,
|
| 93 |
+
74,
|
| 94 |
+
75,
|
| 95 |
+
76,
|
| 96 |
+
77,
|
| 97 |
+
78,
|
| 98 |
+
79,
|
| 99 |
+
80,
|
| 100 |
+
81,
|
| 101 |
+
82,
|
| 102 |
+
83,
|
| 103 |
+
84,
|
| 104 |
+
85,
|
| 105 |
+
86,
|
| 106 |
+
87,
|
| 107 |
+
88,
|
| 108 |
+
89,
|
| 109 |
+
90,
|
| 110 |
+
91,
|
| 111 |
+
92,
|
| 112 |
+
93,
|
| 113 |
+
94,
|
| 114 |
+
95,
|
| 115 |
+
96,
|
| 116 |
+
97,
|
| 117 |
+
98,
|
| 118 |
+
99,
|
| 119 |
+
100,
|
| 120 |
+
101,
|
| 121 |
+
102,
|
| 122 |
+
103,
|
| 123 |
+
104,
|
| 124 |
+
105,
|
| 125 |
+
106,
|
| 126 |
+
107,
|
| 127 |
+
108,
|
| 128 |
+
109,
|
| 129 |
+
110,
|
| 130 |
+
111,
|
| 131 |
+
112,
|
| 132 |
+
113,
|
| 133 |
+
114,
|
| 134 |
+
115,
|
| 135 |
+
116,
|
| 136 |
+
117,
|
| 137 |
+
118,
|
| 138 |
+
119,
|
| 139 |
+
120,
|
| 140 |
+
121,
|
| 141 |
+
122,
|
| 142 |
+
123,
|
| 143 |
+
124,
|
| 144 |
+
125,
|
| 145 |
+
126,
|
| 146 |
+
127,
|
| 147 |
+
128,
|
| 148 |
+
129,
|
| 149 |
+
130,
|
| 150 |
+
131,
|
| 151 |
+
132,
|
| 152 |
+
133,
|
| 153 |
+
134,
|
| 154 |
+
135,
|
| 155 |
+
136,
|
| 156 |
+
137,
|
| 157 |
+
138,
|
| 158 |
+
139,
|
| 159 |
+
140,
|
| 160 |
+
141,
|
| 161 |
+
142,
|
| 162 |
+
143,
|
| 163 |
+
144,
|
| 164 |
+
145,
|
| 165 |
+
146,
|
| 166 |
+
147,
|
| 167 |
+
148,
|
| 168 |
+
149,
|
| 169 |
+
150,
|
| 170 |
+
151,
|
| 171 |
+
152,
|
| 172 |
+
153,
|
| 173 |
+
154,
|
| 174 |
+
155,
|
| 175 |
+
156,
|
| 176 |
+
157,
|
| 177 |
+
158,
|
| 178 |
+
159,
|
| 179 |
+
160,
|
| 180 |
+
161,
|
| 181 |
+
162,
|
| 182 |
+
163,
|
| 183 |
+
164,
|
| 184 |
+
165,
|
| 185 |
+
166,
|
| 186 |
+
167,
|
| 187 |
+
168,
|
| 188 |
+
169,
|
| 189 |
+
170,
|
| 190 |
+
171,
|
| 191 |
+
172,
|
| 192 |
+
173,
|
| 193 |
+
174,
|
| 194 |
+
175,
|
| 195 |
+
176,
|
| 196 |
+
177,
|
| 197 |
+
178,
|
| 198 |
+
179,
|
| 199 |
+
180,
|
| 200 |
+
181,
|
| 201 |
+
182,
|
| 202 |
+
183,
|
| 203 |
+
184,
|
| 204 |
+
185,
|
| 205 |
+
186,
|
| 206 |
+
187,
|
| 207 |
+
188,
|
| 208 |
+
189,
|
| 209 |
+
190,
|
| 210 |
+
191,
|
| 211 |
+
192,
|
| 212 |
+
193,
|
| 213 |
+
194,
|
| 214 |
+
195,
|
| 215 |
+
196,
|
| 216 |
+
197,
|
| 217 |
+
198,
|
| 218 |
+
199,
|
| 219 |
+
200,
|
| 220 |
+
201,
|
| 221 |
+
202,
|
| 222 |
+
203,
|
| 223 |
+
204,
|
| 224 |
+
205,
|
| 225 |
+
206,
|
| 226 |
+
207,
|
| 227 |
+
208,
|
| 228 |
+
209,
|
| 229 |
+
210,
|
| 230 |
+
211,
|
| 231 |
+
212,
|
| 232 |
+
213,
|
| 233 |
+
214,
|
| 234 |
+
215,
|
| 235 |
+
216,
|
| 236 |
+
217,
|
| 237 |
+
218,
|
| 238 |
+
219,
|
| 239 |
+
220,
|
| 240 |
+
221,
|
| 241 |
+
222,
|
| 242 |
+
223,
|
| 243 |
+
224,
|
| 244 |
+
225,
|
| 245 |
+
226,
|
| 246 |
+
227,
|
| 247 |
+
228,
|
| 248 |
+
229,
|
| 249 |
+
230,
|
| 250 |
+
231,
|
| 251 |
+
232,
|
| 252 |
+
233,
|
| 253 |
+
234,
|
| 254 |
+
235,
|
| 255 |
+
236,
|
| 256 |
+
237,
|
| 257 |
+
238,
|
| 258 |
+
239,
|
| 259 |
+
240,
|
| 260 |
+
241,
|
| 261 |
+
242,
|
| 262 |
+
243,
|
| 263 |
+
244,
|
| 264 |
+
245,
|
| 265 |
+
246,
|
| 266 |
+
247,
|
| 267 |
+
248,
|
| 268 |
+
249,
|
| 269 |
+
250,
|
| 270 |
+
251,
|
| 271 |
+
252,
|
| 272 |
+
253,
|
| 273 |
+
254,
|
| 274 |
+
255,
|
| 275 |
+
256,
|
| 276 |
+
257,
|
| 277 |
+
258,
|
| 278 |
+
259,
|
| 279 |
+
260,
|
| 280 |
+
261,
|
| 281 |
+
262,
|
| 282 |
+
263,
|
| 283 |
+
264,
|
| 284 |
+
265,
|
| 285 |
+
266,
|
| 286 |
+
267,
|
| 287 |
+
268,
|
| 288 |
+
269,
|
| 289 |
+
270,
|
| 290 |
+
271,
|
| 291 |
+
272,
|
| 292 |
+
273,
|
| 293 |
+
274,
|
| 294 |
+
275,
|
| 295 |
+
276,
|
| 296 |
+
277,
|
| 297 |
+
278,
|
| 298 |
+
279,
|
| 299 |
+
280,
|
| 300 |
+
281,
|
| 301 |
+
282,
|
| 302 |
+
283,
|
| 303 |
+
284,
|
| 304 |
+
285,
|
| 305 |
+
286,
|
| 306 |
+
287,
|
| 307 |
+
288,
|
| 308 |
+
289,
|
| 309 |
+
290,
|
| 310 |
+
291,
|
| 311 |
+
292,
|
| 312 |
+
293,
|
| 313 |
+
294,
|
| 314 |
+
295,
|
| 315 |
+
296,
|
| 316 |
+
297,
|
| 317 |
+
298,
|
| 318 |
+
299,
|
| 319 |
+
300,
|
| 320 |
+
301,
|
| 321 |
+
302,
|
| 322 |
+
303,
|
| 323 |
+
304,
|
| 324 |
+
305,
|
| 325 |
+
306,
|
| 326 |
+
307,
|
| 327 |
+
308,
|
| 328 |
+
309,
|
| 329 |
+
310,
|
| 330 |
+
311,
|
| 331 |
+
312,
|
| 332 |
+
313,
|
| 333 |
+
314,
|
| 334 |
+
315,
|
| 335 |
+
316,
|
| 336 |
+
317,
|
| 337 |
+
318,
|
| 338 |
+
319,
|
| 339 |
+
320,
|
| 340 |
+
321,
|
| 341 |
+
322,
|
| 342 |
+
323,
|
| 343 |
+
324,
|
| 344 |
+
325,
|
| 345 |
+
326,
|
| 346 |
+
327,
|
| 347 |
+
328,
|
| 348 |
+
329,
|
| 349 |
+
330,
|
| 350 |
+
331,
|
| 351 |
+
332,
|
| 352 |
+
333,
|
| 353 |
+
334,
|
| 354 |
+
335,
|
| 355 |
+
336,
|
| 356 |
+
337,
|
| 357 |
+
338,
|
| 358 |
+
339,
|
| 359 |
+
340,
|
| 360 |
+
341,
|
| 361 |
+
342,
|
| 362 |
+
343,
|
| 363 |
+
344,
|
| 364 |
+
345,
|
| 365 |
+
346,
|
| 366 |
+
347,
|
| 367 |
+
348,
|
| 368 |
+
349,
|
| 369 |
+
350,
|
| 370 |
+
351,
|
| 371 |
+
352,
|
| 372 |
+
353,
|
| 373 |
+
354,
|
| 374 |
+
355,
|
| 375 |
+
356,
|
| 376 |
+
357,
|
| 377 |
+
358,
|
| 378 |
+
359,
|
| 379 |
+
360,
|
| 380 |
+
361,
|
| 381 |
+
362,
|
| 382 |
+
363,
|
| 383 |
+
364,
|
| 384 |
+
365,
|
| 385 |
+
366,
|
| 386 |
+
367,
|
| 387 |
+
368,
|
| 388 |
+
369,
|
| 389 |
+
370,
|
| 390 |
+
371,
|
| 391 |
+
372,
|
| 392 |
+
373,
|
| 393 |
+
374,
|
| 394 |
+
375,
|
| 395 |
+
376,
|
| 396 |
+
377,
|
| 397 |
+
378,
|
| 398 |
+
379,
|
| 399 |
+
380,
|
| 400 |
+
381,
|
| 401 |
+
382,
|
| 402 |
+
383,
|
| 403 |
+
384,
|
| 404 |
+
385,
|
| 405 |
+
386,
|
| 406 |
+
387,
|
| 407 |
+
388,
|
| 408 |
+
389,
|
| 409 |
+
390,
|
| 410 |
+
391,
|
| 411 |
+
392,
|
| 412 |
+
393,
|
| 413 |
+
394,
|
| 414 |
+
395,
|
| 415 |
+
396,
|
| 416 |
+
397,
|
| 417 |
+
398,
|
| 418 |
+
399,
|
| 419 |
+
400,
|
| 420 |
+
401,
|
| 421 |
+
402,
|
| 422 |
+
403,
|
| 423 |
+
404,
|
| 424 |
+
405,
|
| 425 |
+
406,
|
| 426 |
+
407,
|
| 427 |
+
408,
|
| 428 |
+
409,
|
| 429 |
+
410,
|
| 430 |
+
411,
|
| 431 |
+
412,
|
| 432 |
+
413,
|
| 433 |
+
414,
|
| 434 |
+
415,
|
| 435 |
+
416,
|
| 436 |
+
417,
|
| 437 |
+
418,
|
| 438 |
+
419,
|
| 439 |
+
420,
|
| 440 |
+
421,
|
| 441 |
+
422,
|
| 442 |
+
423,
|
| 443 |
+
424,
|
| 444 |
+
425,
|
| 445 |
+
426,
|
| 446 |
+
427,
|
| 447 |
+
428,
|
| 448 |
+
429,
|
| 449 |
+
430,
|
| 450 |
+
431,
|
| 451 |
+
432,
|
| 452 |
+
433,
|
| 453 |
+
434,
|
| 454 |
+
435,
|
| 455 |
+
436,
|
| 456 |
+
437,
|
| 457 |
+
438,
|
| 458 |
+
439,
|
| 459 |
+
440,
|
| 460 |
+
441,
|
| 461 |
+
442,
|
| 462 |
+
443,
|
| 463 |
+
444,
|
| 464 |
+
445,
|
| 465 |
+
446,
|
| 466 |
+
447,
|
| 467 |
+
448,
|
| 468 |
+
449,
|
| 469 |
+
450,
|
| 470 |
+
451,
|
| 471 |
+
452,
|
| 472 |
+
453,
|
| 473 |
+
454,
|
| 474 |
+
455,
|
| 475 |
+
456,
|
| 476 |
+
457,
|
| 477 |
+
458,
|
| 478 |
+
459,
|
| 479 |
+
460,
|
| 480 |
+
461,
|
| 481 |
+
462,
|
| 482 |
+
463,
|
| 483 |
+
464,
|
| 484 |
+
465,
|
| 485 |
+
466,
|
| 486 |
+
467,
|
| 487 |
+
468,
|
| 488 |
+
469,
|
| 489 |
+
470,
|
| 490 |
+
471,
|
| 491 |
+
472,
|
| 492 |
+
473,
|
| 493 |
+
474,
|
| 494 |
+
475,
|
| 495 |
+
476,
|
| 496 |
+
477,
|
| 497 |
+
478,
|
| 498 |
+
479,
|
| 499 |
+
480,
|
| 500 |
+
481,
|
| 501 |
+
482,
|
| 502 |
+
483,
|
| 503 |
+
484,
|
| 504 |
+
485,
|
| 505 |
+
486,
|
| 506 |
+
487,
|
| 507 |
+
488,
|
| 508 |
+
489,
|
| 509 |
+
490,
|
| 510 |
+
491,
|
| 511 |
+
492,
|
| 512 |
+
493,
|
| 513 |
+
494,
|
| 514 |
+
495,
|
| 515 |
+
496,
|
| 516 |
+
497,
|
| 517 |
+
498,
|
| 518 |
+
499,
|
| 519 |
+
500,
|
| 520 |
+
501,
|
| 521 |
+
502,
|
| 522 |
+
503,
|
| 523 |
+
504,
|
| 524 |
+
505,
|
| 525 |
+
506,
|
| 526 |
+
507,
|
| 527 |
+
508,
|
| 528 |
+
509,
|
| 529 |
+
510,
|
| 530 |
+
511,
|
| 531 |
+
512,
|
| 532 |
+
513,
|
| 533 |
+
514,
|
| 534 |
+
515,
|
| 535 |
+
516,
|
| 536 |
+
517,
|
| 537 |
+
518,
|
| 538 |
+
519,
|
| 539 |
+
520,
|
| 540 |
+
521,
|
| 541 |
+
522,
|
| 542 |
+
523,
|
| 543 |
+
524,
|
| 544 |
+
525,
|
| 545 |
+
526,
|
| 546 |
+
527,
|
| 547 |
+
528,
|
| 548 |
+
529,
|
| 549 |
+
530,
|
| 550 |
+
531,
|
| 551 |
+
532,
|
| 552 |
+
533,
|
| 553 |
+
534,
|
| 554 |
+
535,
|
| 555 |
+
536,
|
| 556 |
+
537,
|
| 557 |
+
538,
|
| 558 |
+
539,
|
| 559 |
+
540,
|
| 560 |
+
541,
|
| 561 |
+
542,
|
| 562 |
+
543,
|
| 563 |
+
544,
|
| 564 |
+
545,
|
| 565 |
+
546,
|
| 566 |
+
547,
|
| 567 |
+
548,
|
| 568 |
+
549,
|
| 569 |
+
550,
|
| 570 |
+
551,
|
| 571 |
+
552,
|
| 572 |
+
553,
|
| 573 |
+
554,
|
| 574 |
+
555,
|
| 575 |
+
556,
|
| 576 |
+
557,
|
| 577 |
+
558,
|
| 578 |
+
559,
|
| 579 |
+
560,
|
| 580 |
+
561,
|
| 581 |
+
562,
|
| 582 |
+
563,
|
| 583 |
+
564,
|
| 584 |
+
565,
|
| 585 |
+
566,
|
| 586 |
+
567,
|
| 587 |
+
568,
|
| 588 |
+
569,
|
| 589 |
+
570,
|
| 590 |
+
571,
|
| 591 |
+
572,
|
| 592 |
+
573,
|
| 593 |
+
574,
|
| 594 |
+
575,
|
| 595 |
+
576,
|
| 596 |
+
577,
|
| 597 |
+
578,
|
| 598 |
+
579,
|
| 599 |
+
580,
|
| 600 |
+
581,
|
| 601 |
+
582,
|
| 602 |
+
583,
|
| 603 |
+
584,
|
| 604 |
+
585,
|
| 605 |
+
586,
|
| 606 |
+
587,
|
| 607 |
+
588,
|
| 608 |
+
589,
|
| 609 |
+
590,
|
| 610 |
+
591,
|
| 611 |
+
592,
|
| 612 |
+
593,
|
| 613 |
+
594,
|
| 614 |
+
595,
|
| 615 |
+
596,
|
| 616 |
+
597,
|
| 617 |
+
598,
|
| 618 |
+
599,
|
| 619 |
+
600,
|
| 620 |
+
601,
|
| 621 |
+
602,
|
| 622 |
+
603,
|
| 623 |
+
604,
|
| 624 |
+
605,
|
| 625 |
+
606,
|
| 626 |
+
607,
|
| 627 |
+
608,
|
| 628 |
+
609,
|
| 629 |
+
610,
|
| 630 |
+
611,
|
| 631 |
+
612,
|
| 632 |
+
613,
|
| 633 |
+
614,
|
| 634 |
+
615,
|
| 635 |
+
616,
|
| 636 |
+
617,
|
| 637 |
+
618,
|
| 638 |
+
619,
|
| 639 |
+
620,
|
| 640 |
+
621,
|
| 641 |
+
622,
|
| 642 |
+
623,
|
| 643 |
+
624,
|
| 644 |
+
625,
|
| 645 |
+
626,
|
| 646 |
+
627,
|
| 647 |
+
628,
|
| 648 |
+
629,
|
| 649 |
+
630,
|
| 650 |
+
631,
|
| 651 |
+
632,
|
| 652 |
+
633,
|
| 653 |
+
634,
|
| 654 |
+
635,
|
| 655 |
+
636,
|
| 656 |
+
637,
|
| 657 |
+
638,
|
| 658 |
+
639,
|
| 659 |
+
640,
|
| 660 |
+
641,
|
| 661 |
+
642,
|
| 662 |
+
643,
|
| 663 |
+
644,
|
| 664 |
+
645,
|
| 665 |
+
646,
|
| 666 |
+
647,
|
| 667 |
+
648,
|
| 668 |
+
649,
|
| 669 |
+
650,
|
| 670 |
+
651,
|
| 671 |
+
652,
|
| 672 |
+
653,
|
| 673 |
+
654,
|
| 674 |
+
655,
|
| 675 |
+
656,
|
| 676 |
+
657,
|
| 677 |
+
658,
|
| 678 |
+
659,
|
| 679 |
+
660,
|
| 680 |
+
661,
|
| 681 |
+
662,
|
| 682 |
+
663,
|
| 683 |
+
664,
|
| 684 |
+
665,
|
| 685 |
+
666,
|
| 686 |
+
667,
|
| 687 |
+
668,
|
| 688 |
+
669,
|
| 689 |
+
670,
|
| 690 |
+
671,
|
| 691 |
+
672,
|
| 692 |
+
673,
|
| 693 |
+
674,
|
| 694 |
+
675,
|
| 695 |
+
676,
|
| 696 |
+
677,
|
| 697 |
+
678,
|
| 698 |
+
679,
|
| 699 |
+
680,
|
| 700 |
+
681,
|
| 701 |
+
682,
|
| 702 |
+
683,
|
| 703 |
+
684,
|
| 704 |
+
685,
|
| 705 |
+
686,
|
| 706 |
+
687,
|
| 707 |
+
688,
|
| 708 |
+
689,
|
| 709 |
+
690,
|
| 710 |
+
691,
|
| 711 |
+
692,
|
| 712 |
+
693,
|
| 713 |
+
694,
|
| 714 |
+
695,
|
| 715 |
+
696,
|
| 716 |
+
697,
|
| 717 |
+
698,
|
| 718 |
+
699,
|
| 719 |
+
700,
|
| 720 |
+
701,
|
| 721 |
+
702,
|
| 722 |
+
703,
|
| 723 |
+
704,
|
| 724 |
+
705,
|
| 725 |
+
706,
|
| 726 |
+
707,
|
| 727 |
+
708,
|
| 728 |
+
709,
|
| 729 |
+
710,
|
| 730 |
+
711,
|
| 731 |
+
712,
|
| 732 |
+
713,
|
| 733 |
+
714,
|
| 734 |
+
715,
|
| 735 |
+
716,
|
| 736 |
+
717,
|
| 737 |
+
718,
|
| 738 |
+
719,
|
| 739 |
+
720,
|
| 740 |
+
721,
|
| 741 |
+
722,
|
| 742 |
+
723,
|
| 743 |
+
724,
|
| 744 |
+
725,
|
| 745 |
+
726,
|
| 746 |
+
727,
|
| 747 |
+
728,
|
| 748 |
+
729,
|
| 749 |
+
730,
|
| 750 |
+
731,
|
| 751 |
+
732,
|
| 752 |
+
733,
|
| 753 |
+
734,
|
| 754 |
+
735,
|
| 755 |
+
736,
|
| 756 |
+
737,
|
| 757 |
+
738,
|
| 758 |
+
739,
|
| 759 |
+
740,
|
| 760 |
+
741,
|
| 761 |
+
742,
|
| 762 |
+
743,
|
| 763 |
+
744,
|
| 764 |
+
745,
|
| 765 |
+
746,
|
| 766 |
+
747,
|
| 767 |
+
748,
|
| 768 |
+
749,
|
| 769 |
+
750,
|
| 770 |
+
751,
|
| 771 |
+
752,
|
| 772 |
+
753,
|
| 773 |
+
754,
|
| 774 |
+
755,
|
| 775 |
+
756,
|
| 776 |
+
757,
|
| 777 |
+
758,
|
| 778 |
+
759,
|
| 779 |
+
760,
|
| 780 |
+
761,
|
| 781 |
+
762,
|
| 782 |
+
763,
|
| 783 |
+
764,
|
| 784 |
+
765,
|
| 785 |
+
766,
|
| 786 |
+
767,
|
| 787 |
+
768,
|
| 788 |
+
769,
|
| 789 |
+
770,
|
| 790 |
+
771,
|
| 791 |
+
772,
|
| 792 |
+
773,
|
| 793 |
+
774,
|
| 794 |
+
775,
|
| 795 |
+
776,
|
| 796 |
+
777,
|
| 797 |
+
778,
|
| 798 |
+
779,
|
| 799 |
+
780,
|
| 800 |
+
781,
|
| 801 |
+
782,
|
| 802 |
+
783,
|
| 803 |
+
784,
|
| 804 |
+
785,
|
| 805 |
+
786,
|
| 806 |
+
787,
|
| 807 |
+
788,
|
| 808 |
+
789,
|
| 809 |
+
790,
|
| 810 |
+
791,
|
| 811 |
+
792,
|
| 812 |
+
793,
|
| 813 |
+
794,
|
| 814 |
+
795,
|
| 815 |
+
796,
|
| 816 |
+
797,
|
| 817 |
+
798,
|
| 818 |
+
799,
|
| 819 |
+
800,
|
| 820 |
+
801,
|
| 821 |
+
802,
|
| 822 |
+
803,
|
| 823 |
+
804,
|
| 824 |
+
805,
|
| 825 |
+
806,
|
| 826 |
+
807,
|
| 827 |
+
808,
|
| 828 |
+
809,
|
| 829 |
+
810,
|
| 830 |
+
811,
|
| 831 |
+
812,
|
| 832 |
+
813,
|
| 833 |
+
814,
|
| 834 |
+
815,
|
| 835 |
+
816,
|
| 836 |
+
817,
|
| 837 |
+
818,
|
| 838 |
+
819,
|
| 839 |
+
820,
|
| 840 |
+
821,
|
| 841 |
+
822,
|
| 842 |
+
823,
|
| 843 |
+
824,
|
| 844 |
+
825,
|
| 845 |
+
826,
|
| 846 |
+
827,
|
| 847 |
+
828,
|
| 848 |
+
829,
|
| 849 |
+
830,
|
| 850 |
+
831,
|
| 851 |
+
832,
|
| 852 |
+
833,
|
| 853 |
+
834,
|
| 854 |
+
835,
|
| 855 |
+
836,
|
| 856 |
+
837,
|
| 857 |
+
838,
|
| 858 |
+
839,
|
| 859 |
+
840,
|
| 860 |
+
841,
|
| 861 |
+
842,
|
| 862 |
+
843,
|
| 863 |
+
844,
|
| 864 |
+
845,
|
| 865 |
+
846,
|
| 866 |
+
847,
|
| 867 |
+
848,
|
| 868 |
+
849,
|
| 869 |
+
850,
|
| 870 |
+
851,
|
| 871 |
+
852,
|
| 872 |
+
853,
|
| 873 |
+
854,
|
| 874 |
+
855,
|
| 875 |
+
856,
|
| 876 |
+
857,
|
| 877 |
+
858,
|
| 878 |
+
859,
|
| 879 |
+
860,
|
| 880 |
+
861,
|
| 881 |
+
862,
|
| 882 |
+
863,
|
| 883 |
+
864,
|
| 884 |
+
865,
|
| 885 |
+
866,
|
| 886 |
+
867,
|
| 887 |
+
868,
|
| 888 |
+
869,
|
| 889 |
+
870,
|
| 890 |
+
871,
|
| 891 |
+
872,
|
| 892 |
+
873,
|
| 893 |
+
874,
|
| 894 |
+
875,
|
| 895 |
+
876,
|
| 896 |
+
877,
|
| 897 |
+
878,
|
| 898 |
+
879,
|
| 899 |
+
880,
|
| 900 |
+
881,
|
| 901 |
+
882,
|
| 902 |
+
883,
|
| 903 |
+
884,
|
| 904 |
+
885,
|
| 905 |
+
886,
|
| 906 |
+
887,
|
| 907 |
+
888,
|
| 908 |
+
889,
|
| 909 |
+
890,
|
| 910 |
+
891,
|
| 911 |
+
892,
|
| 912 |
+
893,
|
| 913 |
+
894,
|
| 914 |
+
895,
|
| 915 |
+
896,
|
| 916 |
+
897
|
| 917 |
+
]
|
| 918 |
+
}
|
| 919 |
+
]
|
groot_inst/checkpoints/050000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6711db400b69984de754b2518f8ed6aa83f44b93e482653282c24d851cf18d72
|
| 3 |
+
size 8550535088
|
groot_inst/checkpoints/050000/training_state/rng_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06a12408161b85163d480eb2ef28e32f9d38560130d92c18891ab2702bcfcfb1
|
| 3 |
+
size 15708
|
groot_inst/checkpoints/050000/training_state/scheduler_state.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_lrs": [
|
| 3 |
+
0.0001
|
| 4 |
+
],
|
| 5 |
+
"last_epoch": 50000,
|
| 6 |
+
"_step_count": 50001,
|
| 7 |
+
"_get_lr_called_within_step": false,
|
| 8 |
+
"_last_lr": [
|
| 9 |
+
1e-05
|
| 10 |
+
],
|
| 11 |
+
"lr_lambdas": [
|
| 12 |
+
null
|
| 13 |
+
]
|
| 14 |
+
}
|
groot_inst/checkpoints/050000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 50000
|
| 3 |
+
}
|
groot_inst/wandb/debug-internal.log
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2025-11-05T18:18:15.064156018+09:00","level":"INFO","msg":"stream: starting","core version":"0.21.4"}
|
| 2 |
+
{"time":"2025-11-05T18:18:16.578091416+09:00","level":"INFO","msg":"stream: created new stream","id":"vji6t8cn"}
|
| 3 |
+
{"time":"2025-11-05T18:18:16.57812902+09:00","level":"INFO","msg":"stream: started","id":"vji6t8cn"}
|
| 4 |
+
{"time":"2025-11-05T18:18:16.578137256+09:00","level":"INFO","msg":"writer: started","stream_id":"vji6t8cn"}
|
| 5 |
+
{"time":"2025-11-05T18:18:16.57817496+09:00","level":"INFO","msg":"handler: started","stream_id":"vji6t8cn"}
|
| 6 |
+
{"time":"2025-11-05T18:18:16.578144997+09:00","level":"INFO","msg":"sender: started","stream_id":"vji6t8cn"}
|
| 7 |
+
{"time":"2025-11-06T04:42:37.841493741+09:00","level":"INFO","msg":"stream: closing","id":"vji6t8cn"}
|
| 8 |
+
{"time":"2025-11-06T04:42:38.686631395+09:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 9 |
+
{"time":"2025-11-06T04:42:39.016973775+09:00","level":"INFO","msg":"handler: closed","stream_id":"vji6t8cn"}
|
| 10 |
+
{"time":"2025-11-06T04:42:39.017064551+09:00","level":"INFO","msg":"sender: closed","stream_id":"vji6t8cn"}
|
| 11 |
+
{"time":"2025-11-06T04:42:39.017088874+09:00","level":"INFO","msg":"stream: closed","id":"vji6t8cn"}
|
groot_inst/wandb/debug.log
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Current SDK version is 0.21.4
|
| 2 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Configure stats pid to 507468
|
| 3 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Loading settings from /home/seonho/.config/wandb/settings
|
| 4 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Loading settings from /home/seonho/ws3/lerobot/wandb/settings
|
| 5 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 6 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:setup_run_log_directory():686] Logging user logs to outputs/groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug.log
|
| 7 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:setup_run_log_directory():687] Logging internal logs to outputs/groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug-internal.log
|
| 8 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:init():813] calling init triggers
|
| 9 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:init():818] wandb.init called with sweep_config: {}
|
| 10 |
+
config: {'dataset': {'repo_id': 'paragon7060/INSIGHTfixposV3', 'root': '/home/seonho/workspace/data/paragon7060/INSIGHTfixposV3', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'affine': {'weight': 1.0, 'type': 'RandomAffine', 'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'pyav', 'streaming': False}, 'env': None, 'policy': {'type': 'groot', 'n_obs_steps': 1, 'input_features': {}, 'output_features': {}, 'device': 'cuda', 'use_amp': False, 'push_to_hub': False, 'repo_id': 'paragon7060/groot', 'private': None, 'tags': None, 'license': None, 'pretrained_path': None, 'chunk_size': 50, 'n_action_steps': 50, 'max_state_dim': 64, 'max_action_dim': 32, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'image_size': [224, 224], 'base_model_path': 'nvidia/GR00T-N1.5-3B', 'tokenizer_assets_repo': 'lerobot/eagle2hg-processor-groot-n1p5', 'embodiment_tag': 'new_embodiment', 'tune_llm': False, 'tune_visual': False, 'tune_projector': True, 'tune_diffusion_model': True, 'lora_rank': 0, 'lora_alpha': 16, 'lora_dropout': 0.1, 'lora_full_model': False, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.95, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-05, 'warmup_ratio': 0.05, 'use_bf16': True, 'video_backend': 'decord', 'balance_dataset_weights': True, 'balance_trajectory_weights': True, 'dataset_paths': None, 'output_dir': './tmp/gr00t', 'save_steps': 1000, 'max_steps': 10000, 'batch_size': 128, 'dataloader_num_workers': 8, 'report_to': 'wandb', 'resume': False}, 'output_dir': 'outputs/groot_inst', 'job_name': 'groot_inst', 'resume': False, 'seed': 1000, 'num_workers': 4, 'batch_size': 8, 'steps': 50000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-05, 'grad_clip_norm': 10.0, 'betas': [0.95, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'cosine_decay_with_warmup', 'num_warmup_steps': 500, 'num_decay_steps': 10000, 'peak_lr': 0.0001, 'decay_lr': 1e-05}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'groot_guide', 'entity': 'RwHlabs', 'notes': None, 'run_id': None, 'mode': None}, 'checkpoint_path': None, 'rename_map': {}, '_wandb': {}}
|
| 11 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:init():854] starting backend
|
| 12 |
+
2025-11-05 18:18:15,058 INFO MainThread:507468 [wandb_init.py:init():857] sending inform_init request
|
| 13 |
+
2025-11-05 18:18:15,060 INFO MainThread:507468 [wandb_init.py:init():865] backend started and connected
|
| 14 |
+
2025-11-05 18:18:15,062 INFO MainThread:507468 [wandb_init.py:init():936] updated telemetry
|
| 15 |
+
2025-11-05 18:18:15,066 INFO MainThread:507468 [wandb_init.py:init():960] communicating run to backend with 90.0 second timeout
|
| 16 |
+
2025-11-05 18:18:16,860 INFO MainThread:507468 [wandb_init.py:init():1011] starting run threads in backend
|
| 17 |
+
2025-11-05 18:18:16,946 INFO MainThread:507468 [wandb_run.py:_console_start():2506] atexit reg
|
| 18 |
+
2025-11-05 18:18:16,947 INFO MainThread:507468 [wandb_run.py:_redirect():2354] redirect: wrap_raw
|
| 19 |
+
2025-11-05 18:18:16,947 INFO MainThread:507468 [wandb_run.py:_redirect():2423] Wrapping output streams.
|
| 20 |
+
2025-11-05 18:18:16,947 INFO MainThread:507468 [wandb_run.py:_redirect():2446] Redirects installed.
|
| 21 |
+
2025-11-05 18:18:16,948 INFO MainThread:507468 [wandb_init.py:init():1049] run started, returning control to user process
|
| 22 |
+
2025-11-06 04:42:37,841 INFO wandb-AsyncioManager-main:507468 [service_client.py:_forward_responses():84] Reached EOF.
|
| 23 |
+
2025-11-06 04:42:37,841 INFO wandb-AsyncioManager-main:507468 [mailbox.py:close():137] Closing mailbox, abandoning 1 handles.
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/files/config.yaml
ADDED
|
@@ -0,0 +1,269 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.21.4
|
| 4 |
+
e:
|
| 5 |
+
n6id9416qjqpi7g180dqn8aaslj6227l:
|
| 6 |
+
args:
|
| 7 |
+
- --dataset.repo_id=paragon7060/INSIGHTfixposV3
|
| 8 |
+
- --dataset.root=/home/seonho/workspace/data/paragon7060/INSIGHTfixposV3
|
| 9 |
+
- --dataset.video_backend=pyav
|
| 10 |
+
- --policy.type=groot
|
| 11 |
+
- --output_dir=./outputs/groot_inst/
|
| 12 |
+
- --job_name=groot_inst
|
| 13 |
+
- --policy.repo_id=paragon7060/groot
|
| 14 |
+
- --policy.push_to_hub=false
|
| 15 |
+
- --steps=50000
|
| 16 |
+
- --policy.device=cuda
|
| 17 |
+
- --policy.batch_size=128
|
| 18 |
+
- --wandb.enable=true
|
| 19 |
+
- --wandb.project=groot_guide
|
| 20 |
+
- --wandb.entity=RwHlabs
|
| 21 |
+
- --wandb.disable_artifact=true
|
| 22 |
+
codePath: src/lerobot/scripts/lerobot_train_groot_inst.py
|
| 23 |
+
codePathLocal: src/lerobot/scripts/lerobot_train_groot_inst.py
|
| 24 |
+
cpu_count: 32
|
| 25 |
+
cpu_count_logical: 64
|
| 26 |
+
cudaVersion: "12.2"
|
| 27 |
+
disk:
|
| 28 |
+
/:
|
| 29 |
+
total: "3778130485248"
|
| 30 |
+
used: "3180474396672"
|
| 31 |
+
executable: /home/seonho/miniconda3/envs/groot/bin/python
|
| 32 |
+
git:
|
| 33 |
+
commit: f6b16f6d97155e3ce34ab2a1ec145e9413588197
|
| 34 |
+
remote: https://github.com/huggingface/lerobot.git
|
| 35 |
+
gpu: NVIDIA A100 80GB PCIe
|
| 36 |
+
gpu_count: 4
|
| 37 |
+
gpu_nvidia:
|
| 38 |
+
- architecture: Ampere
|
| 39 |
+
cudaCores: 6912
|
| 40 |
+
memoryTotal: "85899345920"
|
| 41 |
+
name: NVIDIA A100 80GB PCIe
|
| 42 |
+
uuid: GPU-0dd6d491-2dd8-24ac-bb27-872483ab77e9
|
| 43 |
+
- architecture: Ampere
|
| 44 |
+
cudaCores: 6912
|
| 45 |
+
memoryTotal: "85899345920"
|
| 46 |
+
name: NVIDIA A100 80GB PCIe
|
| 47 |
+
uuid: GPU-dbfb7925-aec1-50fb-039a-3a4c0a4b2caa
|
| 48 |
+
- architecture: Ampere
|
| 49 |
+
cudaCores: 6912
|
| 50 |
+
memoryTotal: "85899345920"
|
| 51 |
+
name: NVIDIA A100 80GB PCIe
|
| 52 |
+
uuid: GPU-ca1c0319-e178-a3c3-ac41-386c2723deac
|
| 53 |
+
- architecture: Ampere
|
| 54 |
+
cudaCores: 6912
|
| 55 |
+
memoryTotal: "85899345920"
|
| 56 |
+
name: NVIDIA A100 80GB PCIe
|
| 57 |
+
uuid: GPU-47b6036e-4fde-e399-5515-f73eed752c6d
|
| 58 |
+
host: worker1
|
| 59 |
+
memory:
|
| 60 |
+
total: "1081620938752"
|
| 61 |
+
os: Linux-6.8.0-85-generic-x86_64-with-glibc2.35
|
| 62 |
+
program: /home/seonho/ws3/lerobot/src/lerobot/scripts/lerobot_train_groot_inst.py
|
| 63 |
+
python: CPython 3.10.12
|
| 64 |
+
root: outputs/groot_inst
|
| 65 |
+
startedAt: "2025-11-05T09:18:14.851651Z"
|
| 66 |
+
writerId: n6id9416qjqpi7g180dqn8aaslj6227l
|
| 67 |
+
m: []
|
| 68 |
+
python_version: 3.10.12
|
| 69 |
+
t:
|
| 70 |
+
"1":
|
| 71 |
+
- 1
|
| 72 |
+
- 11
|
| 73 |
+
- 41
|
| 74 |
+
- 49
|
| 75 |
+
- 51
|
| 76 |
+
- 71
|
| 77 |
+
- 83
|
| 78 |
+
"2":
|
| 79 |
+
- 1
|
| 80 |
+
- 11
|
| 81 |
+
- 41
|
| 82 |
+
- 49
|
| 83 |
+
- 51
|
| 84 |
+
- 71
|
| 85 |
+
- 83
|
| 86 |
+
- 98
|
| 87 |
+
"3":
|
| 88 |
+
- 13
|
| 89 |
+
- 15
|
| 90 |
+
- 16
|
| 91 |
+
- 61
|
| 92 |
+
"4": 3.10.12
|
| 93 |
+
"5": 0.21.4
|
| 94 |
+
"6": 4.57.1
|
| 95 |
+
"10":
|
| 96 |
+
- 21
|
| 97 |
+
"12": 0.21.4
|
| 98 |
+
"13": linux-x86_64
|
| 99 |
+
batch_size:
|
| 100 |
+
value: 8
|
| 101 |
+
checkpoint_path:
|
| 102 |
+
value: null
|
| 103 |
+
dataset:
|
| 104 |
+
value:
|
| 105 |
+
episodes: null
|
| 106 |
+
image_transforms:
|
| 107 |
+
enable: false
|
| 108 |
+
max_num_transforms: 3
|
| 109 |
+
random_order: false
|
| 110 |
+
tfs:
|
| 111 |
+
affine:
|
| 112 |
+
kwargs:
|
| 113 |
+
degrees:
|
| 114 |
+
- -5
|
| 115 |
+
- 5
|
| 116 |
+
translate:
|
| 117 |
+
- 0.05
|
| 118 |
+
- 0.05
|
| 119 |
+
type: RandomAffine
|
| 120 |
+
weight: 1
|
| 121 |
+
brightness:
|
| 122 |
+
kwargs:
|
| 123 |
+
brightness:
|
| 124 |
+
- 0.8
|
| 125 |
+
- 1.2
|
| 126 |
+
type: ColorJitter
|
| 127 |
+
weight: 1
|
| 128 |
+
contrast:
|
| 129 |
+
kwargs:
|
| 130 |
+
contrast:
|
| 131 |
+
- 0.8
|
| 132 |
+
- 1.2
|
| 133 |
+
type: ColorJitter
|
| 134 |
+
weight: 1
|
| 135 |
+
hue:
|
| 136 |
+
kwargs:
|
| 137 |
+
hue:
|
| 138 |
+
- -0.05
|
| 139 |
+
- 0.05
|
| 140 |
+
type: ColorJitter
|
| 141 |
+
weight: 1
|
| 142 |
+
saturation:
|
| 143 |
+
kwargs:
|
| 144 |
+
saturation:
|
| 145 |
+
- 0.5
|
| 146 |
+
- 1.5
|
| 147 |
+
type: ColorJitter
|
| 148 |
+
weight: 1
|
| 149 |
+
sharpness:
|
| 150 |
+
kwargs:
|
| 151 |
+
sharpness:
|
| 152 |
+
- 0.5
|
| 153 |
+
- 1.5
|
| 154 |
+
type: SharpnessJitter
|
| 155 |
+
weight: 1
|
| 156 |
+
repo_id: paragon7060/INSIGHTfixposV3
|
| 157 |
+
revision: null
|
| 158 |
+
root: /home/seonho/workspace/data/paragon7060/INSIGHTfixposV3
|
| 159 |
+
streaming: false
|
| 160 |
+
use_imagenet_stats: true
|
| 161 |
+
video_backend: pyav
|
| 162 |
+
env:
|
| 163 |
+
value: null
|
| 164 |
+
eval:
|
| 165 |
+
value:
|
| 166 |
+
batch_size: 50
|
| 167 |
+
n_episodes: 50
|
| 168 |
+
use_async_envs: false
|
| 169 |
+
eval_freq:
|
| 170 |
+
value: 20000
|
| 171 |
+
job_name:
|
| 172 |
+
value: groot_inst
|
| 173 |
+
log_freq:
|
| 174 |
+
value: 200
|
| 175 |
+
num_workers:
|
| 176 |
+
value: 4
|
| 177 |
+
optimizer:
|
| 178 |
+
value:
|
| 179 |
+
betas:
|
| 180 |
+
- 0.95
|
| 181 |
+
- 0.999
|
| 182 |
+
eps: 1e-08
|
| 183 |
+
grad_clip_norm: 10
|
| 184 |
+
lr: 0.0001
|
| 185 |
+
type: adamw
|
| 186 |
+
weight_decay: 1e-05
|
| 187 |
+
output_dir:
|
| 188 |
+
value: outputs/groot_inst
|
| 189 |
+
policy:
|
| 190 |
+
value:
|
| 191 |
+
balance_dataset_weights: true
|
| 192 |
+
balance_trajectory_weights: true
|
| 193 |
+
base_model_path: nvidia/GR00T-N1.5-3B
|
| 194 |
+
batch_size: 128
|
| 195 |
+
chunk_size: 50
|
| 196 |
+
dataloader_num_workers: 8
|
| 197 |
+
dataset_paths: null
|
| 198 |
+
device: cuda
|
| 199 |
+
embodiment_tag: new_embodiment
|
| 200 |
+
image_size:
|
| 201 |
+
- 224
|
| 202 |
+
- 224
|
| 203 |
+
license: null
|
| 204 |
+
lora_alpha: 16
|
| 205 |
+
lora_dropout: 0.1
|
| 206 |
+
lora_full_model: false
|
| 207 |
+
lora_rank: 0
|
| 208 |
+
max_action_dim: 32
|
| 209 |
+
max_state_dim: 64
|
| 210 |
+
max_steps: 10000
|
| 211 |
+
n_action_steps: 50
|
| 212 |
+
n_obs_steps: 1
|
| 213 |
+
normalization_mapping:
|
| 214 |
+
ACTION: MEAN_STD
|
| 215 |
+
STATE: MEAN_STD
|
| 216 |
+
VISUAL: IDENTITY
|
| 217 |
+
optimizer_betas:
|
| 218 |
+
- 0.95
|
| 219 |
+
- 0.999
|
| 220 |
+
optimizer_eps: 1e-08
|
| 221 |
+
optimizer_lr: 0.0001
|
| 222 |
+
optimizer_weight_decay: 1e-05
|
| 223 |
+
output_dir: ./tmp/gr00t
|
| 224 |
+
pretrained_path: null
|
| 225 |
+
private: null
|
| 226 |
+
push_to_hub: false
|
| 227 |
+
repo_id: paragon7060/groot
|
| 228 |
+
report_to: wandb
|
| 229 |
+
resume: false
|
| 230 |
+
save_steps: 1000
|
| 231 |
+
tags: null
|
| 232 |
+
tokenizer_assets_repo: lerobot/eagle2hg-processor-groot-n1p5
|
| 233 |
+
tune_diffusion_model: true
|
| 234 |
+
tune_llm: false
|
| 235 |
+
tune_projector: true
|
| 236 |
+
tune_visual: false
|
| 237 |
+
type: groot
|
| 238 |
+
use_amp: false
|
| 239 |
+
use_bf16: true
|
| 240 |
+
video_backend: decord
|
| 241 |
+
warmup_ratio: 0.05
|
| 242 |
+
resume:
|
| 243 |
+
value: false
|
| 244 |
+
save_checkpoint:
|
| 245 |
+
value: true
|
| 246 |
+
save_freq:
|
| 247 |
+
value: 20000
|
| 248 |
+
scheduler:
|
| 249 |
+
value:
|
| 250 |
+
decay_lr: 1e-05
|
| 251 |
+
num_decay_steps: 10000
|
| 252 |
+
num_warmup_steps: 500
|
| 253 |
+
peak_lr: 0.0001
|
| 254 |
+
type: cosine_decay_with_warmup
|
| 255 |
+
seed:
|
| 256 |
+
value: 1000
|
| 257 |
+
steps:
|
| 258 |
+
value: 50000
|
| 259 |
+
use_policy_training_preset:
|
| 260 |
+
value: true
|
| 261 |
+
wandb:
|
| 262 |
+
value:
|
| 263 |
+
disable_artifact: true
|
| 264 |
+
enable: true
|
| 265 |
+
entity: RwHlabs
|
| 266 |
+
mode: null
|
| 267 |
+
notes: null
|
| 268 |
+
project: groot_guide
|
| 269 |
+
run_id: null
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/files/output.log
ADDED
|
@@ -0,0 +1,302 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
INFO 2025-11-05 18:18:16 db_utils.py:102 [1m[34mLogs will be synced with wandb.[0m
|
| 2 |
+
INFO 2025-11-05 18:18:16 db_utils.py:103 Track this run --> [1m[33mhttps://wandb.ai/RwHlabs/groot_guide/runs/vji6t8cn[0m
|
| 3 |
+
INFO 2025-11-05 18:18:16 oot_inst.py:201 Creating dataset
|
| 4 |
+
INFO 2025-11-05 18:18:28 oot_inst.py:220 Creating policy
|
| 5 |
+
[GROOT] Flash Attention version: 2.8.3
|
| 6 |
+
Loading pretrained dual brain from nvidia/GR00T-N1.5-3B
|
| 7 |
+
Tune backbone vision tower: False
|
| 8 |
+
Tune backbone LLM: False
|
| 9 |
+
Tune action head projector: True
|
| 10 |
+
Tune action head DiT: True
|
| 11 |
+
Fetching 13 files: 100%|██████████████████████████████████████████████████████████████████████████| 13/13 [00:00<00:00, 103268.85it/s]
|
| 12 |
+
`torch_dtype` is deprecated! Use `dtype` instead!
|
| 13 |
+
[GROOT] Copying vendor Eagle files to cache: /home/seonho/ws3/lerobot/src/lerobot/policies/groot/eagle2_hg_model -> /home/seonho/.cache/huggingface/lerobot/lerobot/eagle2hg-processor-groot-n1p5
|
| 14 |
+
[GROOT] Assets repo: lerobot/eagle2hg-processor-groot-n1p5
|
| 15 |
+
Cache dir: /home/seonho/.cache/huggingface/lerobot/lerobot/eagle2hg-processor-groot-n1p5
|
| 16 |
+
INFO 2025-11-05 18:18:28 le2_5_vl.py:105 min_dynamic_tiles: 1
|
| 17 |
+
INFO 2025-11-05 18:18:28 le2_5_vl.py:106 max_dynamic_tiles: 12
|
| 18 |
+
INFO 2025-11-05 18:18:28 gle2_5_vl.py:64 vision_config is None. Initializing the InternVisionConfig with default values.
|
| 19 |
+
INFO 2025-11-05 18:18:28 gle2_5_vl.py:68 text_config is None. Initializing the LlamaConfig config with default values (`LlamaConfig`).
|
| 20 |
+
INFO 2025-11-05 18:18:28 le2_5_vl.py:105 min_dynamic_tiles: 1
|
| 21 |
+
INFO 2025-11-05 18:18:28 le2_5_vl.py:106 max_dynamic_tiles: 6
|
| 22 |
+
INFO 2025-11-05 18:18:28 le2_5_vl.py:101 num_image_token: 256
|
| 23 |
+
INFO 2025-11-05 18:18:28 le2_5_vl.py:102 mlp_checkpoint: False
|
| 24 |
+
Tune backbone llm: False
|
| 25 |
+
Tune backbone visual: True
|
| 26 |
+
Total number of DiT parameters: 550386688
|
| 27 |
+
Total number of SelfAttentionTransformer parameters: 201433088
|
| 28 |
+
Tune action head projector: True
|
| 29 |
+
Tune action head diffusion model: True
|
| 30 |
+
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 4.90it/s]
|
| 31 |
+
Tune backbone llm: False
|
| 32 |
+
Tune backbone visual: False
|
| 33 |
+
Warning: No backbone trainable parameters found.
|
| 34 |
+
Tune action head projector: True
|
| 35 |
+
Tune action head diffusion model: True
|
| 36 |
+
INFO 2025-11-05 18:18:35 oot_inst.py:283 Creating optimizer and scheduler
|
| 37 |
+
INFO 2025-11-05 18:18:35 oot_inst.py:295 [1m[33mOutput dir:[0m outputs/groot_inst
|
| 38 |
+
INFO 2025-11-05 18:18:35 oot_inst.py:298 cfg.steps=50000 (50K)
|
| 39 |
+
INFO 2025-11-05 18:18:35 oot_inst.py:299 dataset.num_frames=246793 (247K)
|
| 40 |
+
INFO 2025-11-05 18:18:35 oot_inst.py:300 dataset.num_episodes=5647
|
| 41 |
+
INFO 2025-11-05 18:18:35 oot_inst.py:303 Effective batch size: 8 x 1 = 8
|
| 42 |
+
INFO 2025-11-05 18:18:35 oot_inst.py:304 num_learnable_params=1068806144 (1B)
|
| 43 |
+
INFO 2025-11-05 18:18:35 oot_inst.py:305 num_total_params=2413522880 (2B)
|
| 44 |
+
⚠️ Warning: Target proportions sum to 3.0, not 1.0. Normalizing them.
|
| 45 |
+
|
| 46 |
+
✅ Proportional sampling setup complete. Epoch size: 49998 episodes, Total frames per epoch: 2176838
|
| 47 |
+
INFO 2025-11-05 18:18:37 oot_inst.py:368 Start offline training on a fixed dataset
|
| 48 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 49 |
+
INFO 2025-11-05 18:20:57 oot_inst.py:397 step:200 smpl:2K ep:37 epch:0.01 loss:0.219 grdn:0.874 lr:2.0e-05 updt_s:0.259 data_s:0.441
|
| 50 |
+
INFO 2025-11-05 18:23:32 oot_inst.py:397 step:400 smpl:3K ep:73 epch:0.01 loss:0.150 grdn:0.501 lr:6.0e-05 updt_s:0.251 data_s:0.520
|
| 51 |
+
INFO 2025-11-05 18:26:05 oot_inst.py:397 step:600 smpl:5K ep:110 epch:0.02 loss:0.142 grdn:0.434 lr:9.5e-05 updt_s:0.247 data_s:0.515
|
| 52 |
+
INFO 2025-11-05 18:28:40 oot_inst.py:397 step:800 smpl:6K ep:146 epch:0.03 loss:0.134 grdn:0.404 lr:9.9e-05 updt_s:0.250 data_s:0.525
|
| 53 |
+
INFO 2025-11-05 18:31:01 oot_inst.py:397 step:1K smpl:8K ep:183 epch:0.03 loss:0.128 grdn:0.377 lr:9.8e-05 updt_s:0.250 data_s:0.453
|
| 54 |
+
INFO 2025-11-05 18:33:33 oot_inst.py:397 step:1K smpl:10K ep:220 epch:0.04 loss:0.128 grdn:0.375 lr:9.7e-05 updt_s:0.249 data_s:0.511
|
| 55 |
+
INFO 2025-11-05 18:35:48 oot_inst.py:397 step:1K smpl:11K ep:256 epch:0.05 loss:0.127 grdn:0.353 lr:9.6e-05 updt_s:0.249 data_s:0.425
|
| 56 |
+
INFO 2025-11-05 18:37:58 oot_inst.py:397 step:2K smpl:13K ep:293 epch:0.05 loss:0.126 grdn:0.359 lr:9.5e-05 updt_s:0.252 data_s:0.399
|
| 57 |
+
INFO 2025-11-05 18:40:25 oot_inst.py:397 step:2K smpl:14K ep:329 epch:0.06 loss:0.126 grdn:0.375 lr:9.4e-05 updt_s:0.250 data_s:0.485
|
| 58 |
+
INFO 2025-11-05 18:42:34 oot_inst.py:397 step:2K smpl:16K ep:366 epch:0.06 loss:0.123 grdn:0.342 lr:9.2e-05 updt_s:0.249 data_s:0.392
|
| 59 |
+
INFO 2025-11-05 18:45:03 oot_inst.py:397 step:2K smpl:18K ep:403 epch:0.07 loss:0.125 grdn:0.351 lr:9.1e-05 updt_s:0.251 data_s:0.494
|
| 60 |
+
INFO 2025-11-05 18:47:15 oot_inst.py:397 step:2K smpl:19K ep:439 epch:0.08 loss:0.105 grdn:0.372 lr:8.9e-05 updt_s:0.247 data_s:0.411
|
| 61 |
+
INFO 2025-11-05 18:49:23 oot_inst.py:397 step:3K smpl:21K ep:476 epch:0.08 loss:0.096 grdn:0.354 lr:8.7e-05 updt_s:0.252 data_s:0.386
|
| 62 |
+
INFO 2025-11-05 18:51:51 oot_inst.py:397 step:3K smpl:22K ep:513 epch:0.09 loss:0.093 grdn:0.339 lr:8.5e-05 updt_s:0.251 data_s:0.492
|
| 63 |
+
INFO 2025-11-05 18:54:06 oot_inst.py:397 step:3K smpl:24K ep:549 epch:0.10 loss:0.090 grdn:0.311 lr:8.3e-05 updt_s:0.248 data_s:0.422
|
| 64 |
+
INFO 2025-11-05 18:56:46 oot_inst.py:397 step:3K smpl:26K ep:586 epch:0.10 loss:0.088 grdn:0.311 lr:8.0e-05 updt_s:0.248 data_s:0.555
|
| 65 |
+
INFO 2025-11-05 18:59:11 oot_inst.py:397 step:3K smpl:27K ep:622 epch:0.11 loss:0.070 grdn:0.345 lr:7.8e-05 updt_s:0.248 data_s:0.474
|
| 66 |
+
INFO 2025-11-05 19:01:51 oot_inst.py:397 step:4K smpl:29K ep:659 epch:0.12 loss:0.060 grdn:0.319 lr:7.5e-05 updt_s:0.249 data_s:0.553
|
| 67 |
+
INFO 2025-11-05 19:04:39 oot_inst.py:397 step:4K smpl:30K ep:696 epch:0.12 loss:0.059 grdn:0.294 lr:7.3e-05 updt_s:0.252 data_s:0.586
|
| 68 |
+
INFO 2025-11-05 19:07:02 oot_inst.py:397 step:4K smpl:32K ep:732 epch:0.13 loss:0.057 grdn:0.290 lr:7.0e-05 updt_s:0.249 data_s:0.464
|
| 69 |
+
INFO 2025-11-05 19:09:37 oot_inst.py:397 step:4K smpl:34K ep:769 epch:0.14 loss:0.055 grdn:0.281 lr:6.8e-05 updt_s:0.250 data_s:0.524
|
| 70 |
+
INFO 2025-11-05 19:11:59 oot_inst.py:397 step:4K smpl:35K ep:805 epch:0.14 loss:0.041 grdn:0.342 lr:6.5e-05 updt_s:0.250 data_s:0.458
|
| 71 |
+
INFO 2025-11-05 19:14:33 oot_inst.py:397 step:5K smpl:37K ep:842 epch:0.15 loss:0.026 grdn:0.274 lr:6.2e-05 updt_s:0.249 data_s:0.520
|
| 72 |
+
INFO 2025-11-05 19:16:57 oot_inst.py:397 step:5K smpl:38K ep:879 epch:0.16 loss:0.024 grdn:0.257 lr:5.9e-05 updt_s:0.249 data_s:0.470
|
| 73 |
+
INFO 2025-11-05 19:19:27 oot_inst.py:397 step:5K smpl:40K ep:915 epch:0.16 loss:0.026 grdn:0.250 lr:5.6e-05 updt_s:0.248 data_s:0.497
|
| 74 |
+
INFO 2025-11-05 19:21:57 oot_inst.py:397 step:5K smpl:42K ep:952 epch:0.17 loss:0.023 grdn:0.236 lr:5.4e-05 updt_s:0.248 data_s:0.502
|
| 75 |
+
INFO 2025-11-05 19:24:40 oot_inst.py:397 step:5K smpl:43K ep:988 epch:0.18 loss:0.024 grdn:0.249 lr:5.1e-05 updt_s:0.249 data_s:0.565
|
| 76 |
+
INFO 2025-11-05 19:27:01 oot_inst.py:397 step:6K smpl:45K ep:1K epch:0.18 loss:0.022 grdn:0.233 lr:4.8e-05 updt_s:0.251 data_s:0.454
|
| 77 |
+
INFO 2025-11-05 19:29:35 oot_inst.py:397 step:6K smpl:46K ep:1K epch:0.19 loss:0.022 grdn:0.235 lr:4.5e-05 updt_s:0.250 data_s:0.518
|
| 78 |
+
INFO 2025-11-05 19:31:56 oot_inst.py:397 step:6K smpl:48K ep:1K epch:0.19 loss:0.022 grdn:0.235 lr:4.2e-05 updt_s:0.250 data_s:0.456
|
| 79 |
+
INFO 2025-11-05 19:34:36 oot_inst.py:397 step:6K smpl:50K ep:1K epch:0.20 loss:0.020 grdn:0.217 lr:4.0e-05 updt_s:0.250 data_s:0.550
|
| 80 |
+
INFO 2025-11-05 19:37:16 oot_inst.py:397 step:6K smpl:51K ep:1K epch:0.21 loss:0.019 grdn:0.210 lr:3.7e-05 updt_s:0.250 data_s:0.544
|
| 81 |
+
INFO 2025-11-05 19:39:49 oot_inst.py:397 step:7K smpl:53K ep:1K epch:0.21 loss:0.019 grdn:0.212 lr:3.5e-05 updt_s:0.249 data_s:0.516
|
| 82 |
+
INFO 2025-11-05 19:42:15 oot_inst.py:397 step:7K smpl:54K ep:1K epch:0.22 loss:0.020 grdn:0.229 lr:3.2e-05 updt_s:0.251 data_s:0.477
|
| 83 |
+
INFO 2025-11-05 19:44:38 oot_inst.py:397 step:7K smpl:56K ep:1K epch:0.23 loss:0.017 grdn:0.198 lr:3.0e-05 updt_s:0.252 data_s:0.467
|
| 84 |
+
INFO 2025-11-05 19:47:06 oot_inst.py:397 step:7K smpl:58K ep:1K epch:0.23 loss:0.017 grdn:0.194 lr:2.7e-05 updt_s:0.248 data_s:0.487
|
| 85 |
+
INFO 2025-11-05 19:49:15 oot_inst.py:397 step:7K smpl:59K ep:1K epch:0.24 loss:0.017 grdn:0.193 lr:2.5e-05 updt_s:0.248 data_s:0.399
|
| 86 |
+
INFO 2025-11-05 19:51:42 oot_inst.py:397 step:8K smpl:61K ep:1K epch:0.25 loss:0.017 grdn:0.195 lr:2.3e-05 updt_s:0.249 data_s:0.483
|
| 87 |
+
INFO 2025-11-05 19:54:06 oot_inst.py:397 step:8K smpl:62K ep:1K epch:0.25 loss:0.017 grdn:0.202 lr:2.1e-05 updt_s:0.246 data_s:0.476
|
| 88 |
+
INFO 2025-11-05 19:56:38 oot_inst.py:397 step:8K smpl:64K ep:1K epch:0.26 loss:0.018 grdn:0.196 lr:1.9e-05 updt_s:0.248 data_s:0.510
|
| 89 |
+
INFO 2025-11-05 19:59:21 oot_inst.py:397 step:8K smpl:66K ep:2K epch:0.27 loss:0.018 grdn:0.203 lr:1.8e-05 updt_s:0.248 data_s:0.566
|
| 90 |
+
INFO 2025-11-05 20:01:48 oot_inst.py:397 step:8K smpl:67K ep:2K epch:0.27 loss:0.017 grdn:0.197 lr:1.6e-05 updt_s:0.250 data_s:0.481
|
| 91 |
+
INFO 2025-11-05 20:04:15 oot_inst.py:397 step:9K smpl:69K ep:2K epch:0.28 loss:0.015 grdn:0.177 lr:1.5e-05 updt_s:0.248 data_s:0.486
|
| 92 |
+
INFO 2025-11-05 20:06:37 oot_inst.py:397 step:9K smpl:70K ep:2K epch:0.29 loss:0.015 grdn:0.187 lr:1.4e-05 updt_s:0.248 data_s:0.462
|
| 93 |
+
INFO 2025-11-05 20:09:16 oot_inst.py:397 step:9K smpl:72K ep:2K epch:0.29 loss:0.015 grdn:0.178 lr:1.3e-05 updt_s:0.249 data_s:0.546
|
| 94 |
+
INFO 2025-11-05 20:11:41 oot_inst.py:397 step:9K smpl:74K ep:2K epch:0.30 loss:0.015 grdn:0.183 lr:1.2e-05 updt_s:0.246 data_s:0.477
|
| 95 |
+
INFO 2025-11-05 20:14:15 oot_inst.py:397 step:9K smpl:75K ep:2K epch:0.30 loss:0.014 grdn:0.172 lr:1.1e-05 updt_s:0.247 data_s:0.522
|
| 96 |
+
INFO 2025-11-05 20:16:42 oot_inst.py:397 step:10K smpl:77K ep:2K epch:0.31 loss:0.014 grdn:0.177 lr:1.1e-05 updt_s:0.248 data_s:0.484
|
| 97 |
+
INFO 2025-11-05 20:19:16 oot_inst.py:397 step:10K smpl:78K ep:2K epch:0.32 loss:0.015 grdn:0.183 lr:1.0e-05 updt_s:0.249 data_s:0.522
|
| 98 |
+
INFO 2025-11-05 20:21:44 oot_inst.py:397 step:10K smpl:80K ep:2K epch:0.32 loss:0.015 grdn:0.187 lr:1.0e-05 updt_s:0.253 data_s:0.486
|
| 99 |
+
INFO 2025-11-05 20:24:17 oot_inst.py:397 step:10K smpl:82K ep:2K epch:0.33 loss:0.014 grdn:0.183 lr:1.0e-05 updt_s:0.247 data_s:0.516
|
| 100 |
+
INFO 2025-11-05 20:26:35 oot_inst.py:397 step:10K smpl:83K ep:2K epch:0.34 loss:0.015 grdn:0.186 lr:1.0e-05 updt_s:0.247 data_s:0.440
|
| 101 |
+
INFO 2025-11-05 20:28:59 oot_inst.py:397 step:11K smpl:85K ep:2K epch:0.34 loss:0.015 grdn:0.188 lr:1.0e-05 updt_s:0.249 data_s:0.473
|
| 102 |
+
INFO 2025-11-05 20:31:34 oot_inst.py:397 step:11K smpl:86K ep:2K epch:0.35 loss:0.014 grdn:0.175 lr:1.0e-05 updt_s:0.250 data_s:0.521
|
| 103 |
+
INFO 2025-11-05 20:34:00 oot_inst.py:397 step:11K smpl:88K ep:2K epch:0.36 loss:0.014 grdn:0.185 lr:1.0e-05 updt_s:0.247 data_s:0.483
|
| 104 |
+
INFO 2025-11-05 20:36:27 oot_inst.py:397 step:11K smpl:90K ep:2K epch:0.36 loss:0.014 grdn:0.177 lr:1.0e-05 updt_s:0.248 data_s:0.484
|
| 105 |
+
INFO 2025-11-05 20:38:49 oot_inst.py:397 step:11K smpl:91K ep:2K epch:0.37 loss:0.015 grdn:0.182 lr:1.0e-05 updt_s:0.247 data_s:0.465
|
| 106 |
+
INFO 2025-11-05 20:41:14 oot_inst.py:397 step:12K smpl:93K ep:2K epch:0.38 loss:0.014 grdn:0.183 lr:1.0e-05 updt_s:0.248 data_s:0.476
|
| 107 |
+
INFO 2025-11-05 20:43:46 oot_inst.py:397 step:12K smpl:94K ep:2K epch:0.38 loss:0.014 grdn:0.183 lr:1.0e-05 updt_s:0.249 data_s:0.507
|
| 108 |
+
INFO 2025-11-05 20:46:32 oot_inst.py:397 step:12K smpl:96K ep:2K epch:0.39 loss:0.015 grdn:0.185 lr:1.0e-05 updt_s:0.247 data_s:0.585
|
| 109 |
+
INFO 2025-11-05 20:49:04 oot_inst.py:397 step:12K smpl:98K ep:2K epch:0.40 loss:0.013 grdn:0.174 lr:1.0e-05 updt_s:0.247 data_s:0.509
|
| 110 |
+
INFO 2025-11-05 20:51:24 oot_inst.py:397 step:12K smpl:99K ep:2K epch:0.40 loss:0.015 grdn:0.179 lr:1.0e-05 updt_s:0.250 data_s:0.451
|
| 111 |
+
INFO 2025-11-05 20:53:44 oot_inst.py:397 step:13K smpl:101K ep:2K epch:0.41 loss:0.015 grdn:0.185 lr:1.0e-05 updt_s:0.248 data_s:0.449
|
| 112 |
+
INFO 2025-11-05 20:56:03 oot_inst.py:397 step:13K smpl:102K ep:2K epch:0.41 loss:0.014 grdn:0.183 lr:1.0e-05 updt_s:0.247 data_s:0.448
|
| 113 |
+
INFO 2025-11-05 20:58:42 oot_inst.py:397 step:13K smpl:104K ep:2K epch:0.42 loss:0.014 grdn:0.180 lr:1.0e-05 updt_s:0.249 data_s:0.548
|
| 114 |
+
INFO 2025-11-05 21:01:41 oot_inst.py:397 step:13K smpl:106K ep:2K epch:0.43 loss:0.015 grdn:0.194 lr:1.0e-05 updt_s:0.249 data_s:0.644
|
| 115 |
+
INFO 2025-11-05 21:04:04 oot_inst.py:397 step:13K smpl:107K ep:2K epch:0.43 loss:0.014 grdn:0.185 lr:1.0e-05 updt_s:0.253 data_s:0.459
|
| 116 |
+
INFO 2025-11-05 21:06:42 oot_inst.py:397 step:14K smpl:109K ep:2K epch:0.44 loss:0.013 grdn:0.172 lr:1.0e-05 updt_s:0.249 data_s:0.542
|
| 117 |
+
INFO 2025-11-05 21:09:14 oot_inst.py:397 step:14K smpl:110K ep:3K epch:0.45 loss:0.014 grdn:0.188 lr:1.0e-05 updt_s:0.248 data_s:0.511
|
| 118 |
+
INFO 2025-11-05 21:11:56 oot_inst.py:397 step:14K smpl:112K ep:3K epch:0.45 loss:0.013 grdn:0.176 lr:1.0e-05 updt_s:0.248 data_s:0.561
|
| 119 |
+
INFO 2025-11-05 21:14:33 oot_inst.py:397 step:14K smpl:114K ep:3K epch:0.46 loss:0.013 grdn:0.174 lr:1.0e-05 updt_s:0.251 data_s:0.531
|
| 120 |
+
INFO 2025-11-05 21:16:57 oot_inst.py:397 step:14K smpl:115K ep:3K epch:0.47 loss:0.013 grdn:0.182 lr:1.0e-05 updt_s:0.249 data_s:0.473
|
| 121 |
+
INFO 2025-11-05 21:19:43 oot_inst.py:397 step:15K smpl:117K ep:3K epch:0.47 loss:0.014 grdn:0.191 lr:1.0e-05 updt_s:0.250 data_s:0.577
|
| 122 |
+
INFO 2025-11-05 21:22:12 oot_inst.py:397 step:15K smpl:118K ep:3K epch:0.48 loss:0.014 grdn:0.192 lr:1.0e-05 updt_s:0.251 data_s:0.491
|
| 123 |
+
INFO 2025-11-05 21:24:53 oot_inst.py:397 step:15K smpl:120K ep:3K epch:0.49 loss:0.013 grdn:0.182 lr:1.0e-05 updt_s:0.251 data_s:0.555
|
| 124 |
+
INFO 2025-11-05 21:27:22 oot_inst.py:397 step:15K smpl:122K ep:3K epch:0.49 loss:0.013 grdn:0.181 lr:1.0e-05 updt_s:0.248 data_s:0.496
|
| 125 |
+
INFO 2025-11-05 21:29:56 oot_inst.py:397 step:15K smpl:123K ep:3K epch:0.50 loss:0.015 grdn:0.189 lr:1.0e-05 updt_s:0.248 data_s:0.519
|
| 126 |
+
INFO 2025-11-05 21:32:23 oot_inst.py:397 step:16K smpl:125K ep:3K epch:0.51 loss:0.013 grdn:0.182 lr:1.0e-05 updt_s:0.249 data_s:0.484
|
| 127 |
+
INFO 2025-11-05 21:34:59 oot_inst.py:397 step:16K smpl:126K ep:3K epch:0.51 loss:0.012 grdn:0.177 lr:1.0e-05 updt_s:0.248 data_s:0.532
|
| 128 |
+
INFO 2025-11-05 21:37:31 oot_inst.py:397 step:16K smpl:128K ep:3K epch:0.52 loss:0.014 grdn:0.182 lr:1.0e-05 updt_s:0.248 data_s:0.511
|
| 129 |
+
INFO 2025-11-05 21:39:54 oot_inst.py:397 step:16K smpl:130K ep:3K epch:0.53 loss:0.014 grdn:0.189 lr:1.0e-05 updt_s:0.250 data_s:0.464
|
| 130 |
+
INFO 2025-11-05 21:42:04 oot_inst.py:397 step:16K smpl:131K ep:3K epch:0.53 loss:0.013 grdn:0.177 lr:1.0e-05 updt_s:0.249 data_s:0.402
|
| 131 |
+
INFO 2025-11-05 21:44:40 oot_inst.py:397 step:17K smpl:133K ep:3K epch:0.54 loss:0.013 grdn:0.184 lr:1.0e-05 updt_s:0.249 data_s:0.527
|
| 132 |
+
INFO 2025-11-05 21:46:56 oot_inst.py:397 step:17K smpl:134K ep:3K epch:0.54 loss:0.013 grdn:0.183 lr:1.0e-05 updt_s:0.248 data_s:0.434
|
| 133 |
+
INFO 2025-11-05 21:49:33 oot_inst.py:397 step:17K smpl:136K ep:3K epch:0.55 loss:0.013 grdn:0.190 lr:1.0e-05 updt_s:0.249 data_s:0.530
|
| 134 |
+
INFO 2025-11-05 21:51:59 oot_inst.py:397 step:17K smpl:138K ep:3K epch:0.56 loss:0.012 grdn:0.184 lr:1.0e-05 updt_s:0.247 data_s:0.485
|
| 135 |
+
INFO 2025-11-05 21:54:29 oot_inst.py:397 step:17K smpl:139K ep:3K epch:0.56 loss:0.012 grdn:0.180 lr:1.0e-05 updt_s:0.250 data_s:0.500
|
| 136 |
+
INFO 2025-11-05 21:56:48 oot_inst.py:397 step:18K smpl:141K ep:3K epch:0.57 loss:0.013 grdn:0.183 lr:1.0e-05 updt_s:0.250 data_s:0.443
|
| 137 |
+
INFO 2025-11-05 21:59:20 oot_inst.py:397 step:18K smpl:142K ep:3K epch:0.58 loss:0.012 grdn:0.180 lr:1.0e-05 updt_s:0.250 data_s:0.509
|
| 138 |
+
INFO 2025-11-05 22:01:58 oot_inst.py:397 step:18K smpl:144K ep:3K epch:0.58 loss:0.012 grdn:0.184 lr:1.0e-05 updt_s:0.250 data_s:0.537
|
| 139 |
+
INFO 2025-11-05 22:04:28 oot_inst.py:397 step:18K smpl:146K ep:3K epch:0.59 loss:0.012 grdn:0.176 lr:1.0e-05 updt_s:0.248 data_s:0.503
|
| 140 |
+
INFO 2025-11-05 22:07:02 oot_inst.py:397 step:18K smpl:147K ep:3K epch:0.60 loss:0.013 grdn:0.183 lr:1.0e-05 updt_s:0.247 data_s:0.521
|
| 141 |
+
INFO 2025-11-05 22:09:25 oot_inst.py:397 step:19K smpl:149K ep:3K epch:0.60 loss:0.013 grdn:0.180 lr:1.0e-05 updt_s:0.254 data_s:0.456
|
| 142 |
+
INFO 2025-11-05 22:11:53 oot_inst.py:397 step:19K smpl:150K ep:3K epch:0.61 loss:0.012 grdn:0.180 lr:1.0e-05 updt_s:0.248 data_s:0.491
|
| 143 |
+
INFO 2025-11-05 22:14:14 oot_inst.py:397 step:19K smpl:152K ep:3K epch:0.62 loss:0.012 grdn:0.182 lr:1.0e-05 updt_s:0.249 data_s:0.459
|
| 144 |
+
INFO 2025-11-05 22:16:41 oot_inst.py:397 step:19K smpl:154K ep:4K epch:0.62 loss:0.012 grdn:0.183 lr:1.0e-05 updt_s:0.249 data_s:0.484
|
| 145 |
+
INFO 2025-11-05 22:19:01 oot_inst.py:397 step:19K smpl:155K ep:4K epch:0.63 loss:0.014 grdn:0.189 lr:1.0e-05 updt_s:0.248 data_s:0.448
|
| 146 |
+
INFO 2025-11-05 22:21:24 oot_inst.py:397 step:20K smpl:157K ep:4K epch:0.64 loss:0.013 grdn:0.180 lr:1.0e-05 updt_s:0.247 data_s:0.470
|
| 147 |
+
INFO 2025-11-05 22:23:52 oot_inst.py:397 step:20K smpl:158K ep:4K epch:0.64 loss:0.013 grdn:0.184 lr:1.0e-05 updt_s:0.249 data_s:0.491
|
| 148 |
+
INFO 2025-11-05 22:26:17 oot_inst.py:397 step:20K smpl:160K ep:4K epch:0.65 loss:0.012 grdn:0.182 lr:1.0e-05 updt_s:0.248 data_s:0.475
|
| 149 |
+
INFO 2025-11-05 22:26:17 oot_inst.py:407 Checkpoint policy after step 20000
|
| 150 |
+
INFO 2025-11-05 22:28:54 oot_inst.py:397 step:20K smpl:162K ep:4K epch:0.65 loss:0.012 grdn:0.177 lr:1.0e-05 updt_s:0.253 data_s:0.413
|
| 151 |
+
INFO 2025-11-05 22:31:12 oot_inst.py:397 step:20K smpl:163K ep:4K epch:0.66 loss:0.013 grdn:0.174 lr:1.0e-05 updt_s:0.248 data_s:0.444
|
| 152 |
+
INFO 2025-11-05 22:33:49 oot_inst.py:397 step:21K smpl:165K ep:4K epch:0.67 loss:0.012 grdn:0.173 lr:1.0e-05 updt_s:0.247 data_s:0.534
|
| 153 |
+
INFO 2025-11-05 22:36:06 oot_inst.py:397 step:21K smpl:166K ep:4K epch:0.67 loss:0.013 grdn:0.190 lr:1.0e-05 updt_s:0.248 data_s:0.437
|
| 154 |
+
INFO 2025-11-05 22:38:29 oot_inst.py:397 step:21K smpl:168K ep:4K epch:0.68 loss:0.013 grdn:0.187 lr:1.0e-05 updt_s:0.247 data_s:0.468
|
| 155 |
+
INFO 2025-11-05 22:41:08 oot_inst.py:397 step:21K smpl:170K ep:4K epch:0.69 loss:0.012 grdn:0.180 lr:1.0e-05 updt_s:0.248 data_s:0.547
|
| 156 |
+
INFO 2025-11-05 22:43:42 oot_inst.py:397 step:21K smpl:171K ep:4K epch:0.69 loss:0.013 grdn:0.187 lr:1.0e-05 updt_s:0.247 data_s:0.521
|
| 157 |
+
INFO 2025-11-05 22:46:22 oot_inst.py:397 step:22K smpl:173K ep:4K epch:0.70 loss:0.013 grdn:0.191 lr:1.0e-05 updt_s:0.248 data_s:0.548
|
| 158 |
+
INFO 2025-11-05 22:48:37 oot_inst.py:397 step:22K smpl:174K ep:4K epch:0.71 loss:0.013 grdn:0.188 lr:1.0e-05 updt_s:0.246 data_s:0.428
|
| 159 |
+
INFO 2025-11-05 22:51:22 oot_inst.py:397 step:22K smpl:176K ep:4K epch:0.71 loss:0.012 grdn:0.182 lr:1.0e-05 updt_s:0.247 data_s:0.580
|
| 160 |
+
INFO 2025-11-05 22:53:48 oot_inst.py:397 step:22K smpl:178K ep:4K epch:0.72 loss:0.012 grdn:0.183 lr:1.0e-05 updt_s:0.249 data_s:0.476
|
| 161 |
+
INFO 2025-11-05 22:56:17 oot_inst.py:397 step:22K smpl:179K ep:4K epch:0.73 loss:0.012 grdn:0.185 lr:1.0e-05 updt_s:0.250 data_s:0.493
|
| 162 |
+
INFO 2025-11-05 22:58:42 oot_inst.py:397 step:23K smpl:181K ep:4K epch:0.73 loss:0.013 grdn:0.179 lr:1.0e-05 updt_s:0.247 data_s:0.481
|
| 163 |
+
INFO 2025-11-05 23:01:03 oot_inst.py:397 step:23K smpl:182K ep:4K epch:0.74 loss:0.014 grdn:0.195 lr:1.0e-05 updt_s:0.248 data_s:0.454
|
| 164 |
+
INFO 2025-11-05 23:03:41 oot_inst.py:397 step:23K smpl:184K ep:4K epch:0.75 loss:0.012 grdn:0.177 lr:1.0e-05 updt_s:0.249 data_s:0.540
|
| 165 |
+
INFO 2025-11-05 23:06:17 oot_inst.py:397 step:23K smpl:186K ep:4K epch:0.75 loss:0.012 grdn:0.185 lr:1.0e-05 updt_s:0.246 data_s:0.533
|
| 166 |
+
INFO 2025-11-05 23:08:33 oot_inst.py:397 step:23K smpl:187K ep:4K epch:0.76 loss:0.012 grdn:0.176 lr:1.0e-05 updt_s:0.248 data_s:0.431
|
| 167 |
+
INFO 2025-11-05 23:10:59 oot_inst.py:397 step:24K smpl:189K ep:4K epch:0.77 loss:0.013 grdn:0.186 lr:1.0e-05 updt_s:0.248 data_s:0.482
|
| 168 |
+
INFO 2025-11-05 23:13:35 oot_inst.py:397 step:24K smpl:190K ep:4K epch:0.77 loss:0.012 grdn:0.188 lr:1.0e-05 updt_s:0.247 data_s:0.528
|
| 169 |
+
INFO 2025-11-05 23:15:56 oot_inst.py:397 step:24K smpl:192K ep:4K epch:0.78 loss:0.011 grdn:0.176 lr:1.0e-05 updt_s:0.247 data_s:0.461
|
| 170 |
+
INFO 2025-11-05 23:18:22 oot_inst.py:397 step:24K smpl:194K ep:4K epch:0.78 loss:0.013 grdn:0.183 lr:1.0e-05 updt_s:0.248 data_s:0.478
|
| 171 |
+
INFO 2025-11-05 23:20:44 oot_inst.py:397 step:24K smpl:195K ep:4K epch:0.79 loss:0.013 grdn:0.189 lr:1.0e-05 updt_s:0.248 data_s:0.462
|
| 172 |
+
INFO 2025-11-05 23:23:06 oot_inst.py:397 step:25K smpl:197K ep:5K epch:0.80 loss:0.012 grdn:0.180 lr:1.0e-05 updt_s:0.247 data_s:0.460
|
| 173 |
+
INFO 2025-11-05 23:25:51 oot_inst.py:397 step:25K smpl:198K ep:5K epch:0.80 loss:0.013 grdn:0.191 lr:1.0e-05 updt_s:0.247 data_s:0.577
|
| 174 |
+
INFO 2025-11-05 23:28:10 oot_inst.py:397 step:25K smpl:200K ep:5K epch:0.81 loss:0.012 grdn:0.185 lr:1.0e-05 updt_s:0.247 data_s:0.447
|
| 175 |
+
INFO 2025-11-05 23:30:49 oot_inst.py:397 step:25K smpl:202K ep:5K epch:0.82 loss:0.012 grdn:0.187 lr:1.0e-05 updt_s:0.246 data_s:0.549
|
| 176 |
+
INFO 2025-11-05 23:33:15 oot_inst.py:397 step:25K smpl:203K ep:5K epch:0.82 loss:0.012 grdn:0.186 lr:1.0e-05 updt_s:0.247 data_s:0.480
|
| 177 |
+
INFO 2025-11-05 23:35:45 oot_inst.py:397 step:26K smpl:205K ep:5K epch:0.83 loss:0.012 grdn:0.179 lr:1.0e-05 updt_s:0.249 data_s:0.500
|
| 178 |
+
INFO 2025-11-05 23:38:22 oot_inst.py:397 step:26K smpl:206K ep:5K epch:0.84 loss:0.011 grdn:0.180 lr:1.0e-05 updt_s:0.248 data_s:0.536
|
| 179 |
+
INFO 2025-11-05 23:41:00 oot_inst.py:397 step:26K smpl:208K ep:5K epch:0.84 loss:0.013 grdn:0.191 lr:1.0e-05 updt_s:0.250 data_s:0.543
|
| 180 |
+
INFO 2025-11-05 23:43:35 oot_inst.py:397 step:26K smpl:210K ep:5K epch:0.85 loss:0.012 grdn:0.179 lr:1.0e-05 updt_s:0.251 data_s:0.521
|
| 181 |
+
INFO 2025-11-05 23:46:07 oot_inst.py:397 step:26K smpl:211K ep:5K epch:0.86 loss:0.012 grdn:0.180 lr:1.0e-05 updt_s:0.248 data_s:0.512
|
| 182 |
+
INFO 2025-11-05 23:48:39 oot_inst.py:397 step:27K smpl:213K ep:5K epch:0.86 loss:0.011 grdn:0.186 lr:1.0e-05 updt_s:0.247 data_s:0.510
|
| 183 |
+
INFO 2025-11-05 23:51:23 oot_inst.py:397 step:27K smpl:214K ep:5K epch:0.87 loss:0.012 grdn:0.188 lr:1.0e-05 updt_s:0.249 data_s:0.574
|
| 184 |
+
INFO 2025-11-05 23:53:51 oot_inst.py:397 step:27K smpl:216K ep:5K epch:0.88 loss:0.012 grdn:0.192 lr:1.0e-05 updt_s:0.247 data_s:0.487
|
| 185 |
+
INFO 2025-11-05 23:56:25 oot_inst.py:397 step:27K smpl:218K ep:5K epch:0.88 loss:0.012 grdn:0.179 lr:1.0e-05 updt_s:0.248 data_s:0.522
|
| 186 |
+
INFO 2025-11-05 23:58:38 oot_inst.py:397 step:27K smpl:219K ep:5K epch:0.89 loss:0.012 grdn:0.180 lr:1.0e-05 updt_s:0.247 data_s:0.419
|
| 187 |
+
INFO 2025-11-06 00:01:12 oot_inst.py:397 step:28K smpl:221K ep:5K epch:0.89 loss:0.013 grdn:0.190 lr:1.0e-05 updt_s:0.249 data_s:0.517
|
| 188 |
+
INFO 2025-11-06 00:03:17 oot_inst.py:397 step:28K smpl:222K ep:5K epch:0.90 loss:0.011 grdn:0.180 lr:1.0e-05 updt_s:0.247 data_s:0.380
|
| 189 |
+
INFO 2025-11-06 00:05:51 oot_inst.py:397 step:28K smpl:224K ep:5K epch:0.91 loss:0.013 grdn:0.189 lr:1.0e-05 updt_s:0.247 data_s:0.522
|
| 190 |
+
INFO 2025-11-06 00:08:28 oot_inst.py:397 step:28K smpl:226K ep:5K epch:0.91 loss:0.011 grdn:0.183 lr:1.0e-05 updt_s:0.248 data_s:0.533
|
| 191 |
+
INFO 2025-11-06 00:10:53 oot_inst.py:397 step:28K smpl:227K ep:5K epch:0.92 loss:0.012 grdn:0.182 lr:1.0e-05 updt_s:0.248 data_s:0.478
|
| 192 |
+
INFO 2025-11-06 00:13:34 oot_inst.py:397 step:29K smpl:229K ep:5K epch:0.93 loss:0.011 grdn:0.174 lr:1.0e-05 updt_s:0.249 data_s:0.555
|
| 193 |
+
INFO 2025-11-06 00:15:59 oot_inst.py:397 step:29K smpl:230K ep:5K epch:0.93 loss:0.011 grdn:0.180 lr:1.0e-05 updt_s:0.250 data_s:0.474
|
| 194 |
+
INFO 2025-11-06 00:18:26 oot_inst.py:397 step:29K smpl:232K ep:5K epch:0.94 loss:0.012 grdn:0.195 lr:1.0e-05 updt_s:0.251 data_s:0.482
|
| 195 |
+
INFO 2025-11-06 00:20:55 oot_inst.py:397 step:29K smpl:234K ep:5K epch:0.95 loss:0.012 grdn:0.187 lr:1.0e-05 updt_s:0.247 data_s:0.497
|
| 196 |
+
INFO 2025-11-06 00:23:16 oot_inst.py:397 step:29K smpl:235K ep:5K epch:0.95 loss:0.012 grdn:0.181 lr:1.0e-05 updt_s:0.248 data_s:0.454
|
| 197 |
+
INFO 2025-11-06 00:25:33 oot_inst.py:397 step:30K smpl:237K ep:5K epch:0.96 loss:0.012 grdn:0.180 lr:1.0e-05 updt_s:0.248 data_s:0.441
|
| 198 |
+
INFO 2025-11-06 00:28:07 oot_inst.py:397 step:30K smpl:238K ep:5K epch:0.97 loss:0.012 grdn:0.184 lr:1.0e-05 updt_s:0.250 data_s:0.518
|
| 199 |
+
INFO 2025-11-06 00:30:30 oot_inst.py:397 step:30K smpl:240K ep:5K epch:0.97 loss:0.012 grdn:0.187 lr:1.0e-05 updt_s:0.248 data_s:0.464
|
| 200 |
+
INFO 2025-11-06 00:33:01 oot_inst.py:397 step:30K smpl:242K ep:6K epch:0.98 loss:0.012 grdn:0.190 lr:1.0e-05 updt_s:0.248 data_s:0.507
|
| 201 |
+
INFO 2025-11-06 00:35:40 oot_inst.py:397 step:30K smpl:243K ep:6K epch:0.99 loss:0.011 grdn:0.178 lr:1.0e-05 updt_s:0.248 data_s:0.546
|
| 202 |
+
INFO 2025-11-06 00:38:05 oot_inst.py:397 step:31K smpl:245K ep:6K epch:0.99 loss:0.011 grdn:0.175 lr:1.0e-05 updt_s:0.250 data_s:0.473
|
| 203 |
+
INFO 2025-11-06 00:40:27 oot_inst.py:397 step:31K smpl:246K ep:6K epch:1.00 loss:0.013 grdn:0.190 lr:1.0e-05 updt_s:0.247 data_s:0.462
|
| 204 |
+
INFO 2025-11-06 00:42:43 oot_inst.py:397 step:31K smpl:248K ep:6K epch:1.00 loss:0.012 grdn:0.193 lr:1.0e-05 updt_s:0.247 data_s:0.434
|
| 205 |
+
INFO 2025-11-06 00:45:21 oot_inst.py:397 step:31K smpl:250K ep:6K epch:1.01 loss:0.011 grdn:0.187 lr:1.0e-05 updt_s:0.249 data_s:0.541
|
| 206 |
+
INFO 2025-11-06 00:47:55 oot_inst.py:397 step:31K smpl:251K ep:6K epch:1.02 loss:0.011 grdn:0.178 lr:1.0e-05 updt_s:0.247 data_s:0.518
|
| 207 |
+
INFO 2025-11-06 00:50:15 oot_inst.py:397 step:32K smpl:253K ep:6K epch:1.02 loss:0.012 grdn:0.189 lr:1.0e-05 updt_s:0.250 data_s:0.449
|
| 208 |
+
INFO 2025-11-06 00:52:39 oot_inst.py:397 step:32K smpl:254K ep:6K epch:1.03 loss:0.011 grdn:0.182 lr:1.0e-05 updt_s:0.251 data_s:0.469
|
| 209 |
+
INFO 2025-11-06 00:55:03 oot_inst.py:397 step:32K smpl:256K ep:6K epch:1.04 loss:0.012 grdn:0.181 lr:1.0e-05 updt_s:0.247 data_s:0.470
|
| 210 |
+
INFO 2025-11-06 00:57:17 oot_inst.py:397 step:32K smpl:258K ep:6K epch:1.04 loss:0.011 grdn:0.181 lr:1.0e-05 updt_s:0.248 data_s:0.425
|
| 211 |
+
INFO 2025-11-06 00:59:58 oot_inst.py:397 step:32K smpl:259K ep:6K epch:1.05 loss:0.012 grdn:0.182 lr:1.0e-05 updt_s:0.249 data_s:0.555
|
| 212 |
+
INFO 2025-11-06 01:02:37 oot_inst.py:397 step:33K smpl:261K ep:6K epch:1.06 loss:0.012 grdn:0.192 lr:1.0e-05 updt_s:0.250 data_s:0.541
|
| 213 |
+
INFO 2025-11-06 01:05:10 oot_inst.py:397 step:33K smpl:262K ep:6K epch:1.06 loss:0.010 grdn:0.176 lr:1.0e-05 updt_s:0.247 data_s:0.518
|
| 214 |
+
INFO 2025-11-06 01:07:40 oot_inst.py:397 step:33K smpl:264K ep:6K epch:1.07 loss:0.011 grdn:0.180 lr:1.0e-05 updt_s:0.248 data_s:0.500
|
| 215 |
+
INFO 2025-11-06 01:10:21 oot_inst.py:397 step:33K smpl:266K ep:6K epch:1.08 loss:0.011 grdn:0.181 lr:1.0e-05 updt_s:0.247 data_s:0.560
|
| 216 |
+
INFO 2025-11-06 01:12:56 oot_inst.py:397 step:33K smpl:267K ep:6K epch:1.08 loss:0.011 grdn:0.180 lr:1.0e-05 updt_s:0.249 data_s:0.525
|
| 217 |
+
INFO 2025-11-06 01:15:13 oot_inst.py:397 step:34K smpl:269K ep:6K epch:1.09 loss:0.011 grdn:0.181 lr:1.0e-05 updt_s:0.250 data_s:0.431
|
| 218 |
+
INFO 2025-11-06 01:17:28 oot_inst.py:397 step:34K smpl:270K ep:6K epch:1.10 loss:0.011 grdn:0.178 lr:1.0e-05 updt_s:0.249 data_s:0.428
|
| 219 |
+
INFO 2025-11-06 01:20:14 oot_inst.py:397 step:34K smpl:272K ep:6K epch:1.10 loss:0.011 grdn:0.185 lr:1.0e-05 updt_s:0.249 data_s:0.576
|
| 220 |
+
INFO 2025-11-06 01:22:41 oot_inst.py:397 step:34K smpl:274K ep:6K epch:1.11 loss:0.012 grdn:0.192 lr:1.0e-05 updt_s:0.249 data_s:0.485
|
| 221 |
+
INFO 2025-11-06 01:25:04 oot_inst.py:397 step:34K smpl:275K ep:6K epch:1.12 loss:0.012 grdn:0.190 lr:1.0e-05 updt_s:0.248 data_s:0.470
|
| 222 |
+
INFO 2025-11-06 01:27:33 oot_inst.py:397 step:35K smpl:277K ep:6K epch:1.12 loss:0.012 grdn:0.186 lr:1.0e-05 updt_s:0.247 data_s:0.494
|
| 223 |
+
INFO 2025-11-06 01:30:00 oot_inst.py:397 step:35K smpl:278K ep:6K epch:1.13 loss:0.010 grdn:0.169 lr:1.0e-05 updt_s:0.251 data_s:0.481
|
| 224 |
+
INFO 2025-11-06 01:32:32 oot_inst.py:397 step:35K smpl:280K ep:6K epch:1.13 loss:0.011 grdn:0.180 lr:1.0e-05 updt_s:0.250 data_s:0.509
|
| 225 |
+
INFO 2025-11-06 01:35:11 oot_inst.py:397 step:35K smpl:282K ep:6K epch:1.14 loss:0.011 grdn:0.184 lr:1.0e-05 updt_s:0.247 data_s:0.547
|
| 226 |
+
INFO 2025-11-06 01:37:33 oot_inst.py:397 step:35K smpl:283K ep:6K epch:1.15 loss:0.011 grdn:0.181 lr:1.0e-05 updt_s:0.250 data_s:0.463
|
| 227 |
+
INFO 2025-11-06 01:40:04 oot_inst.py:397 step:36K smpl:285K ep:7K epch:1.15 loss:0.011 grdn:0.184 lr:1.0e-05 updt_s:0.249 data_s:0.503
|
| 228 |
+
INFO 2025-11-06 01:42:41 oot_inst.py:397 step:36K smpl:286K ep:7K epch:1.16 loss:0.011 grdn:0.186 lr:1.0e-05 updt_s:0.247 data_s:0.540
|
| 229 |
+
INFO 2025-11-06 01:45:22 oot_inst.py:397 step:36K smpl:288K ep:7K epch:1.17 loss:0.011 grdn:0.176 lr:1.0e-05 updt_s:0.249 data_s:0.554
|
| 230 |
+
INFO 2025-11-06 01:47:55 oot_inst.py:397 step:36K smpl:290K ep:7K epch:1.17 loss:0.011 grdn:0.177 lr:1.0e-05 updt_s:0.248 data_s:0.517
|
| 231 |
+
INFO 2025-11-06 01:50:36 oot_inst.py:397 step:36K smpl:291K ep:7K epch:1.18 loss:0.011 grdn:0.180 lr:1.0e-05 updt_s:0.249 data_s:0.552
|
| 232 |
+
INFO 2025-11-06 01:53:10 oot_inst.py:397 step:37K smpl:293K ep:7K epch:1.19 loss:0.012 grdn:0.193 lr:1.0e-05 updt_s:0.247 data_s:0.522
|
| 233 |
+
INFO 2025-11-06 01:55:52 oot_inst.py:397 step:37K smpl:294K ep:7K epch:1.19 loss:0.011 grdn:0.175 lr:1.0e-05 updt_s:0.248 data_s:0.562
|
| 234 |
+
INFO 2025-11-06 01:58:19 oot_inst.py:397 step:37K smpl:296K ep:7K epch:1.20 loss:0.012 grdn:0.187 lr:1.0e-05 updt_s:0.248 data_s:0.484
|
| 235 |
+
INFO 2025-11-06 02:00:37 oot_inst.py:397 step:37K smpl:298K ep:7K epch:1.21 loss:0.012 grdn:0.189 lr:1.0e-05 updt_s:0.249 data_s:0.441
|
| 236 |
+
INFO 2025-11-06 02:03:10 oot_inst.py:397 step:37K smpl:299K ep:7K epch:1.21 loss:0.011 grdn:0.184 lr:1.0e-05 updt_s:0.248 data_s:0.514
|
| 237 |
+
INFO 2025-11-06 02:05:37 oot_inst.py:397 step:38K smpl:301K ep:7K epch:1.22 loss:0.011 grdn:0.196 lr:1.0e-05 updt_s:0.248 data_s:0.486
|
| 238 |
+
INFO 2025-11-06 02:08:20 oot_inst.py:397 step:38K smpl:302K ep:7K epch:1.23 loss:0.012 grdn:0.194 lr:1.0e-05 updt_s:0.248 data_s:0.565
|
| 239 |
+
INFO 2025-11-06 02:10:31 oot_inst.py:397 step:38K smpl:304K ep:7K epch:1.23 loss:0.011 grdn:0.177 lr:1.0e-05 updt_s:0.248 data_s:0.405
|
| 240 |
+
INFO 2025-11-06 02:13:13 oot_inst.py:397 step:38K smpl:306K ep:7K epch:1.24 loss:0.012 grdn:0.188 lr:1.0e-05 updt_s:0.247 data_s:0.566
|
| 241 |
+
INFO 2025-11-06 02:15:38 oot_inst.py:397 step:38K smpl:307K ep:7K epch:1.24 loss:0.011 grdn:0.175 lr:1.0e-05 updt_s:0.246 data_s:0.474
|
| 242 |
+
INFO 2025-11-06 02:18:00 oot_inst.py:397 step:39K smpl:309K ep:7K epch:1.25 loss:0.011 grdn:0.183 lr:1.0e-05 updt_s:0.253 data_s:0.458
|
| 243 |
+
INFO 2025-11-06 02:20:27 oot_inst.py:397 step:39K smpl:310K ep:7K epch:1.26 loss:0.012 grdn:0.182 lr:1.0e-05 updt_s:0.249 data_s:0.482
|
| 244 |
+
INFO 2025-11-06 02:22:53 oot_inst.py:397 step:39K smpl:312K ep:7K epch:1.26 loss:0.012 grdn:0.184 lr:1.0e-05 updt_s:0.247 data_s:0.484
|
| 245 |
+
INFO 2025-11-06 02:25:15 oot_inst.py:397 step:39K smpl:314K ep:7K epch:1.27 loss:0.011 grdn:0.184 lr:1.0e-05 updt_s:0.247 data_s:0.464
|
| 246 |
+
INFO 2025-11-06 02:27:57 oot_inst.py:397 step:39K smpl:315K ep:7K epch:1.28 loss:0.010 grdn:0.177 lr:1.0e-05 updt_s:0.249 data_s:0.560
|
| 247 |
+
INFO 2025-11-06 02:30:38 oot_inst.py:397 step:40K smpl:317K ep:7K epch:1.28 loss:0.011 grdn:0.186 lr:1.0e-05 updt_s:0.248 data_s:0.555
|
| 248 |
+
INFO 2025-11-06 02:33:14 oot_inst.py:397 step:40K smpl:318K ep:7K epch:1.29 loss:0.012 grdn:0.192 lr:1.0e-05 updt_s:0.247 data_s:0.529
|
| 249 |
+
INFO 2025-11-06 02:35:37 oot_inst.py:397 step:40K smpl:320K ep:7K epch:1.30 loss:0.011 grdn:0.181 lr:1.0e-05 updt_s:0.247 data_s:0.466
|
| 250 |
+
INFO 2025-11-06 02:35:37 oot_inst.py:407 Checkpoint policy after step 40000
|
| 251 |
+
INFO 2025-11-06 02:38:12 oot_inst.py:397 step:40K smpl:322K ep:7K epch:1.30 loss:0.011 grdn:0.188 lr:1.0e-05 updt_s:0.248 data_s:0.410
|
| 252 |
+
INFO 2025-11-06 02:40:24 oot_inst.py:397 step:40K smpl:323K ep:7K epch:1.31 loss:0.010 grdn:0.169 lr:1.0e-05 updt_s:0.250 data_s:0.409
|
| 253 |
+
INFO 2025-11-06 02:42:52 oot_inst.py:397 step:41K smpl:325K ep:7K epch:1.32 loss:0.011 grdn:0.178 lr:1.0e-05 updt_s:0.247 data_s:0.492
|
| 254 |
+
INFO 2025-11-06 02:45:19 oot_inst.py:397 step:41K smpl:326K ep:7K epch:1.32 loss:0.011 grdn:0.190 lr:1.0e-05 updt_s:0.249 data_s:0.487
|
| 255 |
+
INFO 2025-11-06 02:47:54 oot_inst.py:397 step:41K smpl:328K ep:8K epch:1.33 loss:0.012 grdn:0.188 lr:1.0e-05 updt_s:0.249 data_s:0.525
|
| 256 |
+
INFO 2025-11-06 02:50:13 oot_inst.py:397 step:41K smpl:330K ep:8K epch:1.34 loss:0.011 grdn:0.179 lr:1.0e-05 updt_s:0.249 data_s:0.441
|
| 257 |
+
INFO 2025-11-06 02:52:42 oot_inst.py:397 step:41K smpl:331K ep:8K epch:1.34 loss:0.011 grdn:0.185 lr:1.0e-05 updt_s:0.249 data_s:0.498
|
| 258 |
+
INFO 2025-11-06 02:54:58 oot_inst.py:397 step:42K smpl:333K ep:8K epch:1.35 loss:0.012 grdn:0.193 lr:1.0e-05 updt_s:0.247 data_s:0.432
|
| 259 |
+
INFO 2025-11-06 02:57:19 oot_inst.py:397 step:42K smpl:334K ep:8K epch:1.35 loss:0.011 grdn:0.176 lr:1.0e-05 updt_s:0.248 data_s:0.454
|
| 260 |
+
INFO 2025-11-06 03:00:07 oot_inst.py:397 step:42K smpl:336K ep:8K epch:1.36 loss:0.011 grdn:0.176 lr:1.0e-05 updt_s:0.247 data_s:0.590
|
| 261 |
+
INFO 2025-11-06 03:02:38 oot_inst.py:397 step:42K smpl:338K ep:8K epch:1.37 loss:0.010 grdn:0.181 lr:1.0e-05 updt_s:0.248 data_s:0.509
|
| 262 |
+
INFO 2025-11-06 03:05:00 oot_inst.py:397 step:42K smpl:339K ep:8K epch:1.37 loss:0.011 grdn:0.191 lr:1.0e-05 updt_s:0.248 data_s:0.462
|
| 263 |
+
INFO 2025-11-06 03:07:19 oot_inst.py:397 step:43K smpl:341K ep:8K epch:1.38 loss:0.011 grdn:0.182 lr:1.0e-05 updt_s:0.249 data_s:0.445
|
| 264 |
+
INFO 2025-11-06 03:09:39 oot_inst.py:397 step:43K smpl:342K ep:8K epch:1.39 loss:0.011 grdn:0.182 lr:1.0e-05 updt_s:0.248 data_s:0.447
|
| 265 |
+
INFO 2025-11-06 03:12:15 oot_inst.py:397 step:43K smpl:344K ep:8K epch:1.39 loss:0.011 grdn:0.189 lr:1.0e-05 updt_s:0.247 data_s:0.535
|
| 266 |
+
INFO 2025-11-06 03:14:44 oot_inst.py:397 step:43K smpl:346K ep:8K epch:1.40 loss:0.011 grdn:0.184 lr:1.0e-05 updt_s:0.247 data_s:0.497
|
| 267 |
+
INFO 2025-11-06 03:17:06 oot_inst.py:397 step:43K smpl:347K ep:8K epch:1.41 loss:0.010 grdn:0.174 lr:1.0e-05 updt_s:0.249 data_s:0.460
|
| 268 |
+
INFO 2025-11-06 03:19:37 oot_inst.py:397 step:44K smpl:349K ep:8K epch:1.41 loss:0.010 grdn:0.176 lr:1.0e-05 updt_s:0.248 data_s:0.505
|
| 269 |
+
INFO 2025-11-06 03:22:11 oot_inst.py:397 step:44K smpl:350K ep:8K epch:1.42 loss:0.011 grdn:0.183 lr:1.0e-05 updt_s:0.247 data_s:0.523
|
| 270 |
+
INFO 2025-11-06 03:25:07 oot_inst.py:397 step:44K smpl:352K ep:8K epch:1.43 loss:0.010 grdn:0.185 lr:1.0e-05 updt_s:0.247 data_s:0.633
|
| 271 |
+
INFO 2025-11-06 03:27:28 oot_inst.py:397 step:44K smpl:354K ep:8K epch:1.43 loss:0.010 grdn:0.180 lr:1.0e-05 updt_s:0.246 data_s:0.457
|
| 272 |
+
INFO 2025-11-06 03:29:56 oot_inst.py:397 step:44K smpl:355K ep:8K epch:1.44 loss:0.011 grdn:0.186 lr:1.0e-05 updt_s:0.249 data_s:0.487
|
| 273 |
+
INFO 2025-11-06 03:32:20 oot_inst.py:397 step:45K smpl:357K ep:8K epch:1.45 loss:0.011 grdn:0.186 lr:1.0e-05 updt_s:0.247 data_s:0.471
|
| 274 |
+
INFO 2025-11-06 03:34:53 oot_inst.py:397 step:45K smpl:358K ep:8K epch:1.45 loss:0.012 grdn:0.196 lr:1.0e-05 updt_s:0.247 data_s:0.517
|
| 275 |
+
INFO 2025-11-06 03:37:25 oot_inst.py:397 step:45K smpl:360K ep:8K epch:1.46 loss:0.011 grdn:0.186 lr:1.0e-05 updt_s:0.249 data_s:0.512
|
| 276 |
+
INFO 2025-11-06 03:40:00 oot_inst.py:397 step:45K smpl:362K ep:8K epch:1.47 loss:0.011 grdn:0.190 lr:1.0e-05 updt_s:0.249 data_s:0.525
|
| 277 |
+
INFO 2025-11-06 03:42:26 oot_inst.py:397 step:45K smpl:363K ep:8K epch:1.47 loss:0.011 grdn:0.185 lr:1.0e-05 updt_s:0.249 data_s:0.478
|
| 278 |
+
INFO 2025-11-06 03:45:06 oot_inst.py:397 step:46K smpl:365K ep:8K epch:1.48 loss:0.012 grdn:0.200 lr:1.0e-05 updt_s:0.248 data_s:0.553
|
| 279 |
+
INFO 2025-11-06 03:47:23 oot_inst.py:397 step:46K smpl:366K ep:8K epch:1.48 loss:0.010 grdn:0.183 lr:1.0e-05 updt_s:0.247 data_s:0.437
|
| 280 |
+
INFO 2025-11-06 03:50:03 oot_inst.py:397 step:46K smpl:368K ep:8K epch:1.49 loss:0.010 grdn:0.178 lr:1.0e-05 updt_s:0.248 data_s:0.551
|
| 281 |
+
INFO 2025-11-06 03:52:27 oot_inst.py:397 step:46K smpl:370K ep:8K epch:1.50 loss:0.011 grdn:0.192 lr:1.0e-05 updt_s:0.247 data_s:0.474
|
| 282 |
+
INFO 2025-11-06 03:55:04 oot_inst.py:397 step:46K smpl:371K ep:8K epch:1.50 loss:0.012 grdn:0.190 lr:1.0e-05 updt_s:0.248 data_s:0.533
|
| 283 |
+
INFO 2025-11-06 03:57:47 oot_inst.py:397 step:47K smpl:373K ep:9K epch:1.51 loss:0.010 grdn:0.177 lr:1.0e-05 updt_s:0.247 data_s:0.568
|
| 284 |
+
INFO 2025-11-06 04:00:29 oot_inst.py:397 step:47K smpl:374K ep:9K epch:1.52 loss:0.010 grdn:0.181 lr:1.0e-05 updt_s:0.247 data_s:0.564
|
| 285 |
+
INFO 2025-11-06 04:03:04 oot_inst.py:397 step:47K smpl:376K ep:9K epch:1.52 loss:0.012 grdn:0.194 lr:1.0e-05 updt_s:0.247 data_s:0.526
|
| 286 |
+
INFO 2025-11-06 04:05:38 oot_inst.py:397 step:47K smpl:378K ep:9K epch:1.53 loss:0.011 grdn:0.193 lr:1.0e-05 updt_s:0.247 data_s:0.522
|
| 287 |
+
INFO 2025-11-06 04:08:26 oot_inst.py:397 step:47K smpl:379K ep:9K epch:1.54 loss:0.011 grdn:0.177 lr:1.0e-05 updt_s:0.251 data_s:0.590
|
| 288 |
+
INFO 2025-11-06 04:10:45 oot_inst.py:397 step:48K smpl:381K ep:9K epch:1.54 loss:0.010 grdn:0.183 lr:1.0e-05 updt_s:0.247 data_s:0.446
|
| 289 |
+
INFO 2025-11-06 04:13:21 oot_inst.py:397 step:48K smpl:382K ep:9K epch:1.55 loss:0.010 grdn:0.166 lr:1.0e-05 updt_s:0.248 data_s:0.529
|
| 290 |
+
INFO 2025-11-06 04:15:50 oot_inst.py:397 step:48K smpl:384K ep:9K epch:1.56 loss:0.011 grdn:0.182 lr:1.0e-05 updt_s:0.248 data_s:0.498
|
| 291 |
+
INFO 2025-11-06 04:18:26 oot_inst.py:397 step:48K smpl:386K ep:9K epch:1.56 loss:0.012 grdn:0.188 lr:1.0e-05 updt_s:0.246 data_s:0.531
|
| 292 |
+
INFO 2025-11-06 04:21:01 oot_inst.py:397 step:48K smpl:387K ep:9K epch:1.57 loss:0.010 grdn:0.182 lr:1.0e-05 updt_s:0.247 data_s:0.528
|
| 293 |
+
INFO 2025-11-06 04:23:42 oot_inst.py:397 step:49K smpl:389K ep:9K epch:1.58 loss:0.011 grdn:0.181 lr:1.0e-05 updt_s:0.250 data_s:0.553
|
| 294 |
+
INFO 2025-11-06 04:26:08 oot_inst.py:397 step:49K smpl:390K ep:9K epch:1.58 loss:0.010 grdn:0.184 lr:1.0e-05 updt_s:0.248 data_s:0.480
|
| 295 |
+
INFO 2025-11-06 04:28:51 oot_inst.py:397 step:49K smpl:392K ep:9K epch:1.59 loss:0.011 grdn:0.184 lr:1.0e-05 updt_s:0.248 data_s:0.564
|
| 296 |
+
INFO 2025-11-06 04:31:27 oot_inst.py:397 step:49K smpl:394K ep:9K epch:1.59 loss:0.010 grdn:0.175 lr:1.0e-05 updt_s:0.248 data_s:0.536
|
| 297 |
+
INFO 2025-11-06 04:33:58 oot_inst.py:397 step:49K smpl:395K ep:9K epch:1.60 loss:0.009 grdn:0.171 lr:1.0e-05 updt_s:0.247 data_s:0.505
|
| 298 |
+
INFO 2025-11-06 04:36:48 oot_inst.py:397 step:50K smpl:397K ep:9K epch:1.61 loss:0.010 grdn:0.181 lr:1.0e-05 updt_s:0.248 data_s:0.599
|
| 299 |
+
INFO 2025-11-06 04:39:24 oot_inst.py:397 step:50K smpl:398K ep:9K epch:1.61 loss:0.010 grdn:0.178 lr:1.0e-05 updt_s:0.247 data_s:0.534
|
| 300 |
+
INFO 2025-11-06 04:42:14 oot_inst.py:397 step:50K smpl:400K ep:9K epch:1.62 loss:0.011 grdn:0.197 lr:1.0e-05 updt_s:0.247 data_s:0.600
|
| 301 |
+
INFO 2025-11-06 04:42:14 oot_inst.py:407 Checkpoint policy after step 50000
|
| 302 |
+
INFO 2025-11-06 04:42:37 oot_inst.py:476 End of training
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/files/requirements.txt
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
frozenlist==1.7.0
|
| 2 |
+
hf_transfer==0.1.9
|
| 3 |
+
dill==0.3.8
|
| 4 |
+
propcache==0.3.2
|
| 5 |
+
orderly-set==5.5.0
|
| 6 |
+
mypy_extensions==1.1.0
|
| 7 |
+
multidict==6.6.4
|
| 8 |
+
cmake==4.1.0
|
| 9 |
+
pyserial==3.5
|
| 10 |
+
filelock==3.19.1
|
| 11 |
+
yarl==1.20.1
|
| 12 |
+
Farama-Notifications==0.0.4
|
| 13 |
+
packaging==25.0
|
| 14 |
+
typing-inspect==0.9.0
|
| 15 |
+
opencv-python-headless==4.12.0.88
|
| 16 |
+
pyyaml-include==1.4.1
|
| 17 |
+
regex==2025.9.1
|
| 18 |
+
multiprocess==0.70.16
|
| 19 |
+
pyarrow==21.0.0
|
| 20 |
+
nvidia-cusparselt-cu12==0.6.3
|
| 21 |
+
prompt_toolkit==3.0.52
|
| 22 |
+
mpmath==1.3.0
|
| 23 |
+
python-xlib==0.33
|
| 24 |
+
av==15.1.0
|
| 25 |
+
nvidia-cufile-cu12==1.11.1.6
|
| 26 |
+
python-dateutil==2.9.0.post0
|
| 27 |
+
blinker==1.9.0
|
| 28 |
+
sentry-sdk==2.37.1
|
| 29 |
+
torchcodec==0.5
|
| 30 |
+
cloudpickle==3.1.1
|
| 31 |
+
fsspec==2025.3.0
|
| 32 |
+
GitPython==3.1.45
|
| 33 |
+
networkx==3.4.2
|
| 34 |
+
mergedeep==1.3.4
|
| 35 |
+
nvidia-nvjitlink-cu12==12.6.85
|
| 36 |
+
wheel==0.45.1
|
| 37 |
+
Flask==3.1.2
|
| 38 |
+
psutil==7.0.0
|
| 39 |
+
imageio-ffmpeg==0.6.0
|
| 40 |
+
termcolor==3.1.0
|
| 41 |
+
gitdb==4.0.12
|
| 42 |
+
toml==0.10.2
|
| 43 |
+
attrs==25.3.0
|
| 44 |
+
setuptools==80.9.0
|
| 45 |
+
wandb==0.21.4
|
| 46 |
+
MarkupSafe==3.0.2
|
| 47 |
+
tqdm==4.67.1
|
| 48 |
+
pandas==2.3.2
|
| 49 |
+
smmap==5.0.2
|
| 50 |
+
evdev==1.9.2
|
| 51 |
+
aiohttp==3.12.15
|
| 52 |
+
PyYAML==6.0.2
|
| 53 |
+
deepdiff==8.6.1
|
| 54 |
+
inquirerpy==0.3.4
|
| 55 |
+
Werkzeug==3.1.3
|
| 56 |
+
pynput==1.8.1
|
| 57 |
+
huggingface-hub==0.34.4
|
| 58 |
+
platformdirs==4.4.0
|
| 59 |
+
pfzy==0.3.4
|
| 60 |
+
hf-xet==1.1.9
|
| 61 |
+
imageio==2.37.0
|
| 62 |
+
diffusers==0.35.1
|
| 63 |
+
itsdangerous==2.2.0
|
| 64 |
+
aiohappyeyeballs==2.6.1
|
| 65 |
+
requests==2.32.5
|
| 66 |
+
typing_extensions==4.15.0
|
| 67 |
+
jsonlines==4.0.0
|
| 68 |
+
async-timeout==5.0.1
|
| 69 |
+
Jinja2==3.1.6
|
| 70 |
+
aiosignal==1.4.0
|
| 71 |
+
safetensors==0.6.2
|
| 72 |
+
einops==0.8.1
|
| 73 |
+
tzdata==2025.2
|
| 74 |
+
xxhash==3.5.0
|
| 75 |
+
wcwidth==0.2.13
|
| 76 |
+
nvidia-nccl-cu11==2.21.5
|
| 77 |
+
nvidia-cudnn-cu11==9.1.0.70
|
| 78 |
+
nvidia-cuda-cupti-cu11==11.8.87
|
| 79 |
+
nvidia-cusparse-cu11==11.7.5.86
|
| 80 |
+
transformers==4.57.1
|
| 81 |
+
nvidia-cufft-cu11==10.9.0.58
|
| 82 |
+
ninja==1.13.0
|
| 83 |
+
certifi==2025.10.5
|
| 84 |
+
importlib_metadata==8.7.0
|
| 85 |
+
pip==25.3
|
| 86 |
+
pip==25.2
|
| 87 |
+
charset-normalizer==3.4.4
|
| 88 |
+
torch==2.7.1+cu118
|
| 89 |
+
nvidia-cusolver-cu11==11.4.1.48
|
| 90 |
+
triton==3.3.1
|
| 91 |
+
decord==0.6.0
|
| 92 |
+
protobuf==6.33.0
|
| 93 |
+
accelerate==1.11.0
|
| 94 |
+
urllib3==2.5.0
|
| 95 |
+
nvidia-curand-cu11==10.3.0.86
|
| 96 |
+
pydantic==2.12.3
|
| 97 |
+
wrapt==2.0.0
|
| 98 |
+
typing-inspection==0.4.2
|
| 99 |
+
lerobot==0.4.1
|
| 100 |
+
nvidia-nvtx-cu11==11.8.86
|
| 101 |
+
flash_attn==2.8.3
|
| 102 |
+
wheel==0.45.1
|
| 103 |
+
click==8.3.0
|
| 104 |
+
nvidia-cuda-nvrtc-cu11==11.8.89
|
| 105 |
+
draccus==0.10.0
|
| 106 |
+
annotated-types==0.7.0
|
| 107 |
+
nvidia-cuda-runtime-cu11==11.8.89
|
| 108 |
+
rerun-sdk==0.26.2
|
| 109 |
+
absl-py==2.3.1
|
| 110 |
+
numpy==2.1.2
|
| 111 |
+
nvidia-cublas-cu11==11.11.3.6
|
| 112 |
+
gymnasium==1.2.2
|
| 113 |
+
pillow==11.3.0
|
| 114 |
+
sympy==1.14.0
|
| 115 |
+
idna==3.11
|
| 116 |
+
pytz==2025.2
|
| 117 |
+
datasets==4.1.1
|
| 118 |
+
zipp==3.23.0
|
| 119 |
+
timm==1.0.22
|
| 120 |
+
setuptools==80.9.0
|
| 121 |
+
peft==0.17.1
|
| 122 |
+
torchvision==0.22.1+cu118
|
| 123 |
+
tokenizers==0.22.1
|
| 124 |
+
dm-tree==0.1.9
|
| 125 |
+
six==1.17.0
|
| 126 |
+
pydantic_core==2.41.4
|
| 127 |
+
lerobot==0.4.1
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-85-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.12",
|
| 4 |
+
"startedAt": "2025-11-05T09:18:14.851651Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--dataset.repo_id=paragon7060/INSIGHTfixposV3",
|
| 7 |
+
"--dataset.root=/home/seonho/workspace/data/paragon7060/INSIGHTfixposV3",
|
| 8 |
+
"--dataset.video_backend=pyav",
|
| 9 |
+
"--policy.type=groot",
|
| 10 |
+
"--output_dir=./outputs/groot_inst/",
|
| 11 |
+
"--job_name=groot_inst",
|
| 12 |
+
"--policy.repo_id=paragon7060/groot",
|
| 13 |
+
"--policy.push_to_hub=false",
|
| 14 |
+
"--steps=50000",
|
| 15 |
+
"--policy.device=cuda",
|
| 16 |
+
"--policy.batch_size=128",
|
| 17 |
+
"--wandb.enable=true",
|
| 18 |
+
"--wandb.project=groot_guide",
|
| 19 |
+
"--wandb.entity=RwHlabs",
|
| 20 |
+
"--wandb.disable_artifact=true"
|
| 21 |
+
],
|
| 22 |
+
"program": "/home/seonho/ws3/lerobot/src/lerobot/scripts/lerobot_train_groot_inst.py",
|
| 23 |
+
"codePath": "src/lerobot/scripts/lerobot_train_groot_inst.py",
|
| 24 |
+
"codePathLocal": "src/lerobot/scripts/lerobot_train_groot_inst.py",
|
| 25 |
+
"git": {
|
| 26 |
+
"remote": "https://github.com/huggingface/lerobot.git",
|
| 27 |
+
"commit": "f6b16f6d97155e3ce34ab2a1ec145e9413588197"
|
| 28 |
+
},
|
| 29 |
+
"root": "outputs/groot_inst",
|
| 30 |
+
"host": "worker1",
|
| 31 |
+
"executable": "/home/seonho/miniconda3/envs/groot/bin/python",
|
| 32 |
+
"cpu_count": 32,
|
| 33 |
+
"cpu_count_logical": 64,
|
| 34 |
+
"gpu": "NVIDIA A100 80GB PCIe",
|
| 35 |
+
"gpu_count": 4,
|
| 36 |
+
"disk": {
|
| 37 |
+
"/": {
|
| 38 |
+
"total": "3778130485248",
|
| 39 |
+
"used": "3180474396672"
|
| 40 |
+
}
|
| 41 |
+
},
|
| 42 |
+
"memory": {
|
| 43 |
+
"total": "1081620938752"
|
| 44 |
+
},
|
| 45 |
+
"gpu_nvidia": [
|
| 46 |
+
{
|
| 47 |
+
"name": "NVIDIA A100 80GB PCIe",
|
| 48 |
+
"memoryTotal": "85899345920",
|
| 49 |
+
"cudaCores": 6912,
|
| 50 |
+
"architecture": "Ampere",
|
| 51 |
+
"uuid": "GPU-0dd6d491-2dd8-24ac-bb27-872483ab77e9"
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"name": "NVIDIA A100 80GB PCIe",
|
| 55 |
+
"memoryTotal": "85899345920",
|
| 56 |
+
"cudaCores": 6912,
|
| 57 |
+
"architecture": "Ampere",
|
| 58 |
+
"uuid": "GPU-dbfb7925-aec1-50fb-039a-3a4c0a4b2caa"
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"name": "NVIDIA A100 80GB PCIe",
|
| 62 |
+
"memoryTotal": "85899345920",
|
| 63 |
+
"cudaCores": 6912,
|
| 64 |
+
"architecture": "Ampere",
|
| 65 |
+
"uuid": "GPU-ca1c0319-e178-a3c3-ac41-386c2723deac"
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"name": "NVIDIA A100 80GB PCIe",
|
| 69 |
+
"memoryTotal": "85899345920",
|
| 70 |
+
"cudaCores": 6912,
|
| 71 |
+
"architecture": "Ampere",
|
| 72 |
+
"uuid": "GPU-47b6036e-4fde-e399-5515-f73eed752c6d"
|
| 73 |
+
}
|
| 74 |
+
],
|
| 75 |
+
"cudaVersion": "12.2",
|
| 76 |
+
"writerId": "n6id9416qjqpi7g180dqn8aaslj6227l"
|
| 77 |
+
}
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"_timestamp":1.7623717340142982e+09,"train/dataloading_s":0.5999197516555432,"train/lr":1.0000000000000021e-05,"train/episodes":9152.609676935732,"train/loss":0.015028063207864761,"train/steps":50000,"train/epochs":1.6207915135356352,"_wandb":{"runtime":37460},"train/grad_norm":0.19708548743277787,"_runtime":37460.979869018,"_step":50000,"train/samples":400000,"train/update_s":0.2470976678223815}
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug-core.log
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2025-11-05T18:18:14.868865714+09:00","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmp8_5_9roj/port-507468.txt","pid":507468,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
+
{"time":"2025-11-05T18:18:14.869430517+09:00","level":"INFO","msg":"server: will exit if parent process dies","ppid":507468}
|
| 3 |
+
{"time":"2025-11-05T18:18:14.869432378+09:00","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-507468-547294-2831460529/socket","Net":"unix"}}
|
| 4 |
+
{"time":"2025-11-05T18:18:15.058384833+09:00","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
|
| 5 |
+
{"time":"2025-11-05T18:18:15.064036667+09:00","level":"INFO","msg":"handleInformInit: received","streamId":"vji6t8cn","id":"1(@)"}
|
| 6 |
+
{"time":"2025-11-05T18:18:16.578133222+09:00","level":"INFO","msg":"handleInformInit: stream started","streamId":"vji6t8cn","id":"1(@)"}
|
| 7 |
+
{"time":"2025-11-06T04:42:37.841432874+09:00","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"1(@)"}
|
| 8 |
+
{"time":"2025-11-06T04:42:37.841490624+09:00","level":"INFO","msg":"server is shutting down"}
|
| 9 |
+
{"time":"2025-11-06T04:42:37.841482417+09:00","level":"INFO","msg":"connection: closing","id":"1(@)"}
|
| 10 |
+
{"time":"2025-11-06T04:42:37.841568703+09:00","level":"INFO","msg":"server: listener closed","addr":{"Name":"/tmp/wandb-507468-547294-2831460529/socket","Net":"unix"}}
|
| 11 |
+
{"time":"2025-11-06T04:42:37.841597446+09:00","level":"INFO","msg":"connection: closed successfully","id":"1(@)"}
|
| 12 |
+
{"time":"2025-11-06T04:42:39.017534355+09:00","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"1(@)"}
|
| 13 |
+
{"time":"2025-11-06T04:42:39.017555615+09:00","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"1(@)"}
|
| 14 |
+
{"time":"2025-11-06T04:42:39.017566861+09:00","level":"INFO","msg":"server is closed"}
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2025-11-05T18:18:15.064156018+09:00","level":"INFO","msg":"stream: starting","core version":"0.21.4"}
|
| 2 |
+
{"time":"2025-11-05T18:18:16.578091416+09:00","level":"INFO","msg":"stream: created new stream","id":"vji6t8cn"}
|
| 3 |
+
{"time":"2025-11-05T18:18:16.57812902+09:00","level":"INFO","msg":"stream: started","id":"vji6t8cn"}
|
| 4 |
+
{"time":"2025-11-05T18:18:16.578137256+09:00","level":"INFO","msg":"writer: started","stream_id":"vji6t8cn"}
|
| 5 |
+
{"time":"2025-11-05T18:18:16.57817496+09:00","level":"INFO","msg":"handler: started","stream_id":"vji6t8cn"}
|
| 6 |
+
{"time":"2025-11-05T18:18:16.578144997+09:00","level":"INFO","msg":"sender: started","stream_id":"vji6t8cn"}
|
| 7 |
+
{"time":"2025-11-06T04:42:37.841493741+09:00","level":"INFO","msg":"stream: closing","id":"vji6t8cn"}
|
| 8 |
+
{"time":"2025-11-06T04:42:38.686631395+09:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 9 |
+
{"time":"2025-11-06T04:42:39.016973775+09:00","level":"INFO","msg":"handler: closed","stream_id":"vji6t8cn"}
|
| 10 |
+
{"time":"2025-11-06T04:42:39.017064551+09:00","level":"INFO","msg":"sender: closed","stream_id":"vji6t8cn"}
|
| 11 |
+
{"time":"2025-11-06T04:42:39.017088874+09:00","level":"INFO","msg":"stream: closed","id":"vji6t8cn"}
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug.log
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Current SDK version is 0.21.4
|
| 2 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Configure stats pid to 507468
|
| 3 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Loading settings from /home/seonho/.config/wandb/settings
|
| 4 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Loading settings from /home/seonho/ws3/lerobot/wandb/settings
|
| 5 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 6 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:setup_run_log_directory():686] Logging user logs to outputs/groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug.log
|
| 7 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:setup_run_log_directory():687] Logging internal logs to outputs/groot_inst/wandb/run-20251105_181814-vji6t8cn/logs/debug-internal.log
|
| 8 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:init():813] calling init triggers
|
| 9 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:init():818] wandb.init called with sweep_config: {}
|
| 10 |
+
config: {'dataset': {'repo_id': 'paragon7060/INSIGHTfixposV3', 'root': '/home/seonho/workspace/data/paragon7060/INSIGHTfixposV3', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'affine': {'weight': 1.0, 'type': 'RandomAffine', 'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'pyav', 'streaming': False}, 'env': None, 'policy': {'type': 'groot', 'n_obs_steps': 1, 'input_features': {}, 'output_features': {}, 'device': 'cuda', 'use_amp': False, 'push_to_hub': False, 'repo_id': 'paragon7060/groot', 'private': None, 'tags': None, 'license': None, 'pretrained_path': None, 'chunk_size': 50, 'n_action_steps': 50, 'max_state_dim': 64, 'max_action_dim': 32, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'image_size': [224, 224], 'base_model_path': 'nvidia/GR00T-N1.5-3B', 'tokenizer_assets_repo': 'lerobot/eagle2hg-processor-groot-n1p5', 'embodiment_tag': 'new_embodiment', 'tune_llm': False, 'tune_visual': False, 'tune_projector': True, 'tune_diffusion_model': True, 'lora_rank': 0, 'lora_alpha': 16, 'lora_dropout': 0.1, 'lora_full_model': False, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.95, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-05, 'warmup_ratio': 0.05, 'use_bf16': True, 'video_backend': 'decord', 'balance_dataset_weights': True, 'balance_trajectory_weights': True, 'dataset_paths': None, 'output_dir': './tmp/gr00t', 'save_steps': 1000, 'max_steps': 10000, 'batch_size': 128, 'dataloader_num_workers': 8, 'report_to': 'wandb', 'resume': False}, 'output_dir': 'outputs/groot_inst', 'job_name': 'groot_inst', 'resume': False, 'seed': 1000, 'num_workers': 4, 'batch_size': 8, 'steps': 50000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-05, 'grad_clip_norm': 10.0, 'betas': [0.95, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'cosine_decay_with_warmup', 'num_warmup_steps': 500, 'num_decay_steps': 10000, 'peak_lr': 0.0001, 'decay_lr': 1e-05}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'groot_guide', 'entity': 'RwHlabs', 'notes': None, 'run_id': None, 'mode': None}, 'checkpoint_path': None, 'rename_map': {}, '_wandb': {}}
|
| 11 |
+
2025-11-05 18:18:14,852 INFO MainThread:507468 [wandb_init.py:init():854] starting backend
|
| 12 |
+
2025-11-05 18:18:15,058 INFO MainThread:507468 [wandb_init.py:init():857] sending inform_init request
|
| 13 |
+
2025-11-05 18:18:15,060 INFO MainThread:507468 [wandb_init.py:init():865] backend started and connected
|
| 14 |
+
2025-11-05 18:18:15,062 INFO MainThread:507468 [wandb_init.py:init():936] updated telemetry
|
| 15 |
+
2025-11-05 18:18:15,066 INFO MainThread:507468 [wandb_init.py:init():960] communicating run to backend with 90.0 second timeout
|
| 16 |
+
2025-11-05 18:18:16,860 INFO MainThread:507468 [wandb_init.py:init():1011] starting run threads in backend
|
| 17 |
+
2025-11-05 18:18:16,946 INFO MainThread:507468 [wandb_run.py:_console_start():2506] atexit reg
|
| 18 |
+
2025-11-05 18:18:16,947 INFO MainThread:507468 [wandb_run.py:_redirect():2354] redirect: wrap_raw
|
| 19 |
+
2025-11-05 18:18:16,947 INFO MainThread:507468 [wandb_run.py:_redirect():2423] Wrapping output streams.
|
| 20 |
+
2025-11-05 18:18:16,947 INFO MainThread:507468 [wandb_run.py:_redirect():2446] Redirects installed.
|
| 21 |
+
2025-11-05 18:18:16,948 INFO MainThread:507468 [wandb_init.py:init():1049] run started, returning control to user process
|
| 22 |
+
2025-11-06 04:42:37,841 INFO wandb-AsyncioManager-main:507468 [service_client.py:_forward_responses():84] Reached EOF.
|
| 23 |
+
2025-11-06 04:42:37,841 INFO wandb-AsyncioManager-main:507468 [mailbox.py:close():137] Closing mailbox, abandoning 1 handles.
|
groot_inst/wandb/run-20251105_181814-vji6t8cn/run-vji6t8cn.wandb
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:771d024d1a50da28aade350a4f8243c58a48ae755cf764837132d0f4df20272a
|
| 3 |
+
size 5339613
|