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Browse files- dreamzero_libero_goal_full_finetune_w_cache_bs64/checkpoints/step-008270-epoch-10-loss=0.0503.safetensors +3 -0
- dreamzero_libero_goal_full_finetune_w_cache_bs64/config.json +291 -0
- dreamzero_libero_goal_full_finetune_w_cache_bs64/config.yaml +225 -0
- dreamzero_libero_goal_full_finetune_w_cache_bs64/dataset_statistics.json +138 -0
- dreamzero_libero_goal_full_finetune_w_cache_bs64/dreamzero_libero_goal_full_finetune_w_cache_2026_05_20_17_04_59.jsonl +0 -0
- dreamzero_libero_goal_full_finetune_w_cache_bs64/run-metrics.jsonl +1 -0
dreamzero_libero_goal_full_finetune_w_cache_bs64/checkpoints/step-008270-epoch-10-loss=0.0503.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f144dc7e149a165e9a8ee6b1ac4ad1611e4ae604bc848a090fd5870f0cc9489a
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size 91696959464
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dreamzero_libero_goal_full_finetune_w_cache_bs64/config.json
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{
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"_ckpt_root": "./checkpoints",
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"_tokenizer": "./checkpoints/Wan2.1-I2V-14B-480P/google/umt5-xxl",
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|
| 251 |
+
{
|
| 252 |
+
"type": "SimpleNormalizeImages"
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"action_dim": 32,
|
| 256 |
+
"action_key": "action",
|
| 257 |
+
"norm_type": "mean_std",
|
| 258 |
+
"state_dim": 32,
|
| 259 |
+
"state_key": "proprio",
|
| 260 |
+
"type": "NormalizeStatesAndActions"
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"frame_window_size": 17,
|
| 264 |
+
"num_views": 2,
|
| 265 |
+
"type": "PrepareVideo"
|
| 266 |
+
}
|
| 267 |
+
],
|
| 268 |
+
"type": "ParquetDataset",
|
| 269 |
+
"use_delta": false,
|
| 270 |
+
"window_start_idx": 0
|
| 271 |
+
},
|
| 272 |
+
"name_mappings": {
|
| 273 |
+
"action": [
|
| 274 |
+
"action"
|
| 275 |
+
],
|
| 276 |
+
"observation.state": [
|
| 277 |
+
"proprio"
|
| 278 |
+
]
|
| 279 |
+
},
|
| 280 |
+
"statistic_keys": [
|
| 281 |
+
"observation.state",
|
| 282 |
+
"timestamp",
|
| 283 |
+
"action"
|
| 284 |
+
],
|
| 285 |
+
"statistic_name": "libero_goal_no_noops",
|
| 286 |
+
"type": "DistributedRepeatingDataset"
|
| 287 |
+
},
|
| 288 |
+
"per_device_batch_size": 4,
|
| 289 |
+
"per_device_num_workers": 4
|
| 290 |
+
}
|
| 291 |
+
}
|
dreamzero_libero_goal_full_finetune_w_cache_bs64/config.yaml
ADDED
|
@@ -0,0 +1,225 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
_ckpt_root: ./checkpoints
|
| 2 |
+
_frame_window_size: 17
|
| 3 |
+
_tokenizer: ./checkpoints/Wan2.1-I2V-14B-480P/google/umt5-xxl
|
| 4 |
+
eval:
|
| 5 |
+
dataset:
|
| 6 |
+
img_buffer_len: 4
|
| 7 |
+
transforms:
|
| 8 |
+
- img_keys:
|
| 9 |
+
- agentview_image
|
| 10 |
+
- robot0_eye_in_hand_image
|
| 11 |
+
type: ProcessLiberoEvalInputs
|
| 12 |
+
- image_resize_strategy: resize-naive
|
| 13 |
+
input_sizes:
|
| 14 |
+
- - 3
|
| 15 |
+
- 128
|
| 16 |
+
- 128
|
| 17 |
+
- - 3
|
| 18 |
+
- 128
|
| 19 |
+
- 128
|
| 20 |
+
means:
|
| 21 |
+
- - 127.5
|
| 22 |
+
- 127.5
|
| 23 |
+
- 127.5
|
| 24 |
+
- - 127.5
|
| 25 |
+
- 127.5
|
| 26 |
+
- 127.5
|
| 27 |
+
stds:
|
| 28 |
+
- - 127.5
|
| 29 |
+
- 127.5
|
| 30 |
+
- 127.5
|
| 31 |
+
- - 127.5
|
| 32 |
+
- 127.5
|
| 33 |
+
- 127.5
|
| 34 |
+
type: TransformImage
|
| 35 |
+
- gripper_key: robot0_gripper_qpos
|
| 36 |
+
norm_type: mean_std
|
| 37 |
+
out_key: states
|
| 38 |
+
pos_key: robot0_eef_pos
|
| 39 |
+
quat_key: robot0_eef_quat
|
| 40 |
+
state_dim: 32
|
| 41 |
+
type: LiberoProprioFromInputs
|
| 42 |
+
- max_len: 512
|
| 43 |
+
negative_prompt: Vibrant colors, overexposed, static, blurry details, text,
|
| 44 |
+
subtitles, style, artwork, painting, image, still, grayscale, dull, worst
|
| 45 |
+
quality, low quality, JPEG artifacts, ugly, mutilated, extra fingers, bad
|
| 46 |
+
hands, bad face, deformed, disfigured, mutated limbs, fused fingers, stagnant
|
| 47 |
+
image, cluttered background, three legs, many people in the background, walking
|
| 48 |
+
backwards.
|
| 49 |
+
tokenizer:
|
| 50 |
+
model_path: ./checkpoints/Wan2.1-I2V-14B-480P/google/umt5-xxl
|
| 51 |
+
type: PretrainedTokenizer
|
| 52 |
+
type: LiberoPromptFromInputs
|
| 53 |
+
use_conversation: false
|
| 54 |
+
- frame_window_size: 1
|
| 55 |
+
num_views: 2
|
| 56 |
+
type: PrepareVideo
|
| 57 |
+
type: LiberoParquetEvalDataset
|
| 58 |
+
denormalize_action:
|
| 59 |
+
action_dim: 7
|
| 60 |
+
norm_type: mean_std
|
| 61 |
+
type: DenormalizeLiberoAction
|
| 62 |
+
enable_mixed_precision_training: true
|
| 63 |
+
eval_chunk_size: 10
|
| 64 |
+
mixed_precision_dtype: bf16
|
| 65 |
+
model_family: dreamzero
|
| 66 |
+
num_steps_wait: 10
|
| 67 |
+
num_trials_per_task: 50
|
| 68 |
+
resize_size: 128
|
| 69 |
+
seed: 7
|
| 70 |
+
task_suite_name: libero_goal
|
| 71 |
+
type: LiberoEvalRunner
|
| 72 |
+
model:
|
| 73 |
+
frame_window_size: 17
|
| 74 |
+
name_mapping:
|
| 75 |
+
vla_head.model: action_head.model
|
| 76 |
+
vlm_backbone.image_encoder: action_head.image_encoder
|
| 77 |
+
vlm_backbone.text_encoder: action_head.text_encoder
|
| 78 |
+
vlm_backbone.vae: action_head.vae
|
| 79 |
+
num_views: 2
|
| 80 |
+
pretrained_name_or_path: ./checkpoints/DreamZero-AgiBot
|
| 81 |
+
type: DreamZeroVLA
|
| 82 |
+
use_cache: true
|
| 83 |
+
vla_head:
|
| 84 |
+
action_dim: 7
|
| 85 |
+
action_horizon: 10
|
| 86 |
+
cfg_scale: 5.0
|
| 87 |
+
decouple_inference_noise: false
|
| 88 |
+
decouple_video_action_noise: false
|
| 89 |
+
dit_dim: 5120
|
| 90 |
+
dit_ffn_dim: 13824
|
| 91 |
+
dit_freq_dim: 256
|
| 92 |
+
dit_in_dim: 36
|
| 93 |
+
dit_num_heads: 40
|
| 94 |
+
dit_num_layers: 40
|
| 95 |
+
dit_out_dim: 16
|
| 96 |
+
frame_seqlen: 128
|
| 97 |
+
hidden_size: 1024
|
| 98 |
+
input_embedding_dim: 1536
|
| 99 |
+
max_action_dim: 32
|
| 100 |
+
max_chunk_size: 2
|
| 101 |
+
max_num_embodiments: 32
|
| 102 |
+
max_state_dim: 64
|
| 103 |
+
noise_beta_alpha: 1.5
|
| 104 |
+
noise_beta_beta: 1.0
|
| 105 |
+
noise_s: 0.999
|
| 106 |
+
num_action_per_block: 10
|
| 107 |
+
num_frame_per_block: 2
|
| 108 |
+
num_frames: 17
|
| 109 |
+
num_inference_steps: 16
|
| 110 |
+
num_state_per_block: 1
|
| 111 |
+
type: DreamZeroHead
|
| 112 |
+
use_gradient_checkpointing: true
|
| 113 |
+
video_inference_final_noise: 0.8
|
| 114 |
+
video_noise_beta_alpha: 3.0
|
| 115 |
+
video_noise_beta_beta: 1.0
|
| 116 |
+
vlm_backbone:
|
| 117 |
+
image_encoder_path: null
|
| 118 |
+
text_encoder_path: null
|
| 119 |
+
tiled: false
|
| 120 |
+
type: WanBackbone
|
| 121 |
+
vae_path: null
|
| 122 |
+
per_device_num_workers: 4
|
| 123 |
+
runner:
|
| 124 |
+
change_key_name: false
|
| 125 |
+
collator:
|
| 126 |
+
keys:
|
| 127 |
+
- states
|
| 128 |
+
- images
|
| 129 |
+
- img_masks
|
| 130 |
+
- actions
|
| 131 |
+
- action_masks
|
| 132 |
+
- embodiment_ids
|
| 133 |
+
- frame_masks
|
| 134 |
+
- lang_tokens
|
| 135 |
+
- lang_masks
|
| 136 |
+
meta_keys:
|
| 137 |
+
- task_description
|
| 138 |
+
- prompt
|
| 139 |
+
- info
|
| 140 |
+
- stats
|
| 141 |
+
- timestamp
|
| 142 |
+
type: DictCollator
|
| 143 |
+
enable_gradient_checkpointing: true
|
| 144 |
+
enable_mixed_precision_training: true
|
| 145 |
+
learning_rate: 1.0e-05
|
| 146 |
+
lr_scheduler_type: linear-warmup+cosine-decay
|
| 147 |
+
max_epochs: 10
|
| 148 |
+
max_grad_norm: 1.0
|
| 149 |
+
max_keep_ckpts: 1
|
| 150 |
+
metric:
|
| 151 |
+
active_trackers:
|
| 152 |
+
- jsonl
|
| 153 |
+
- wandb
|
| 154 |
+
grad_accumulation_steps: 1
|
| 155 |
+
run_dir: work_dirs
|
| 156 |
+
type: VLAMetric
|
| 157 |
+
window_size: 1
|
| 158 |
+
mixed_precision_dtype: bf16
|
| 159 |
+
sampler: null
|
| 160 |
+
sharding_strategy: full-shard
|
| 161 |
+
type: FSDPTrainRunner
|
| 162 |
+
warmup_ratio: 0.05
|
| 163 |
+
weight_decay: 1.0e-05
|
| 164 |
+
train_dataloader:
|
| 165 |
+
dataset:
|
| 166 |
+
datasets:
|
| 167 |
+
action_key: action
|
| 168 |
+
action_window_size: 20
|
| 169 |
+
data_root_path: ./datasets/libero_goal_no_noops_lerobotv2.1
|
| 170 |
+
frame_window_size: 17
|
| 171 |
+
statistic_name: libero_goal_no_noops
|
| 172 |
+
transforms:
|
| 173 |
+
- embodiment_id: 0
|
| 174 |
+
name_mappings:
|
| 175 |
+
actions:
|
| 176 |
+
- actions
|
| 177 |
+
observation.state:
|
| 178 |
+
- states
|
| 179 |
+
parquet_keys:
|
| 180 |
+
- observation.state
|
| 181 |
+
- timestamp
|
| 182 |
+
- actions
|
| 183 |
+
- info
|
| 184 |
+
- stats
|
| 185 |
+
- action_masks
|
| 186 |
+
type: ProcessParquetInputs
|
| 187 |
+
video_keys:
|
| 188 |
+
- observation.images.image
|
| 189 |
+
- observation.images.wrist_image
|
| 190 |
+
- type: ParquetPrompter
|
| 191 |
+
use_conversation: false
|
| 192 |
+
- max_len: 512
|
| 193 |
+
tokenizer:
|
| 194 |
+
model_path: ./checkpoints/Wan2.1-I2V-14B-480P/google/umt5-xxl
|
| 195 |
+
type: PretrainedTokenizer
|
| 196 |
+
type: ProcessPrompts
|
| 197 |
+
- height: 128
|
| 198 |
+
type: ResizeImages
|
| 199 |
+
width: 128
|
| 200 |
+
- type: SimpleNormalizeImages
|
| 201 |
+
- action_dim: 32
|
| 202 |
+
action_key: action
|
| 203 |
+
norm_type: mean_std
|
| 204 |
+
state_dim: 32
|
| 205 |
+
state_key: proprio
|
| 206 |
+
type: NormalizeStatesAndActions
|
| 207 |
+
- frame_window_size: 17
|
| 208 |
+
num_views: 2
|
| 209 |
+
type: PrepareVideo
|
| 210 |
+
type: ParquetDataset
|
| 211 |
+
use_delta: false
|
| 212 |
+
window_start_idx: 0
|
| 213 |
+
name_mappings:
|
| 214 |
+
action:
|
| 215 |
+
- action
|
| 216 |
+
observation.state:
|
| 217 |
+
- proprio
|
| 218 |
+
statistic_keys:
|
| 219 |
+
- observation.state
|
| 220 |
+
- timestamp
|
| 221 |
+
- action
|
| 222 |
+
statistic_name: libero_goal_no_noops
|
| 223 |
+
type: DistributedRepeatingDataset
|
| 224 |
+
per_device_batch_size: 4
|
| 225 |
+
per_device_num_workers: 4
|
dreamzero_libero_goal_full_finetune_w_cache_bs64/dataset_statistics.json
ADDED
|
@@ -0,0 +1,138 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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dreamzero_libero_goal_full_finetune_w_cache_bs64/dreamzero_libero_goal_full_finetune_w_cache_2026_05_20_17_04_59.jsonl
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dreamzero_libero_goal_full_finetune_w_cache_bs64/run-metrics.jsonl
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{"hparams": "{'_ckpt_root': './checkpoints', '_tokenizer': './checkpoints/Wan2.1-I2V-14B-480P/google/umt5-xxl', '_frame_window_size': 17, 'model': {'type': 'DreamZeroVLA', 'num_views': 2, 'frame_window_size': 17, 'pretrained_name_or_path': './checkpoints/DreamZero-AgiBot', 'use_cache': True, 'vlm_backbone': {'type': 'WanBackbone', 'text_encoder_path': None, 'image_encoder_path': None, 'vae_path': None, 'tiled': False}, 'vla_head': {'type': 'DreamZeroHead', 'action_dim': 7, 'max_action_dim': 32, 'action_horizon': 10, 'max_state_dim': 64, 'num_frames': 17, 'num_frame_per_block': 2, 'num_action_per_block': 10, 'num_state_per_block': 1, 'frame_seqlen': 128, 'hidden_size': 1024, 'input_embedding_dim': 1536, 'dit_dim': 5120, 'dit_ffn_dim': 13824, 'dit_num_heads': 40, 'dit_num_layers': 40, 'dit_freq_dim': 256, 'dit_in_dim': 36, 'dit_out_dim': 16, 'max_num_embodiments': 32, 'noise_beta_alpha': 1.5, 'noise_beta_beta': 1.0, 'noise_s': 0.999, 'decouple_video_action_noise': False, 'video_noise_beta_alpha': 3.0, 'video_noise_beta_beta': 1.0, 'decouple_inference_noise': False, 'video_inference_final_noise': 0.8, 'num_inference_steps': 16, 'use_gradient_checkpointing': True, 'cfg_scale': 5.0, 'max_chunk_size': 2}, 'name_mapping': {'vla_head.model': 'action_head.model', 'vlm_backbone.text_encoder': 'action_head.text_encoder', 'vlm_backbone.image_encoder': 'action_head.image_encoder', 'vlm_backbone.vae': 'action_head.vae'}}, 'train_dataloader': {'per_device_batch_size': 4, 'per_device_num_workers': 4, 'dataset': {'type': 'DistributedRepeatingDataset', 'name_mappings': {'observation.state': ['proprio'], 'action': ['action']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_goal_no_noops', 'datasets': {'type': 'ParquetDataset', 'data_root_path': './datasets/libero_goal_no_noops_lerobotv2.1', 'transforms': [{'type': 'ProcessParquetInputs', 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats', 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{'type': 'SimpleNormalizeImages'}, {'type': 'NormalizeStatesAndActions', 'action_dim': 32, 'state_dim': 32, 'state_key': 'proprio', 'action_key': 'action', 'norm_type': 'mean_std'}, {'type': 'PrepareVideo', 'num_views': 2, 'frame_window_size': 17}], 'action_window_size': 20, 'action_key': 'action', 'use_delta': False, 'statistic_name': 'libero_goal_no_noops', 'window_start_idx': 0, 'frame_window_size': 17}}}, 'runner': {'type': 'FSDPTrainRunner', 'max_epochs': 10, 'learning_rate': 1e-05, 'weight_decay': 1e-05, 'max_grad_norm': 1.0, 'collator': {'type': 'DictCollator', 'keys': ['states', 'images', 'img_masks', 'actions', 'action_masks', 'embodiment_ids', 'frame_masks', 'lang_tokens', 'lang_masks'], 'meta_keys': ['task_description', 'prompt', 'info', 'stats', 'timestamp']}, 'sampler': None, 'metric': {'type': 'VLAMetric', 'active_trackers': ('jsonl', 'wandb'), 'run_dir': 'work_dirs/dreamzero_libero_goal_full_finetune_w_cache_31ae5d6d_bs64', 'grad_accumulation_steps': 1, 'window_size': 1, 'hparams': Config (path: configs/dreamzero/dreamzero_libero_goal_full_finetune_w_cache.py): {...}, 'run_id': 'dreamzero_libero_goal_full_finetune_w_cache_2026_05_20_17_04_59'}, 'lr_scheduler_type': 'linear-warmup+cosine-decay', 'warmup_ratio': 0.05, 'enable_gradient_checkpointing': True, 'enable_mixed_precision_training': True, 'mixed_precision_dtype': 'bf16', 'sharding_strategy': 'full-shard', 'change_key_name': False, 'max_keep_ckpts': 1, 'cfg': Config (path: configs/dreamzero/dreamzero_libero_goal_full_finetune_w_cache.py): {...}, 'args': Namespace(config='configs/dreamzero/dreamzero_libero_goal_full_finetune_w_cache.py', work_dir='work_dirs/dreamzero_libero_goal_full_finetune_w_cache_31ae5d6d_bs64', cfg_options={'train_dataloader.per_device_batch_size': 4, 'per_device_num_workers': 4, 'runner.max_keep_ckpts': 1}, eval_after_train=True, resume_from=None)}, 'eval': {'type': 'LiberoEvalRunner', 'task_suite_name': 'libero_goal', 'model_family': 'dreamzero', 'eval_chunk_size': 10, 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'DictCollator', 'keys': ['states', 'images', 'img_masks', 'actions', 'action_masks', 'embodiment_ids', 'frame_masks', 'lang_tokens', 'lang_masks'], 'meta_keys': ['task_description', 'prompt', 'info', 'stats', 'timestamp']}, 'sampler': None, 'metric': {'type': 'VLAMetric', 'active_trackers': ('jsonl', 'wandb'), 'run_dir': 'work_dirs/dreamzero_libero_goal_full_finetune_w_cache_31ae5d6d_bs64', 'grad_accumulation_steps': 1, 'window_size': 1, 'hparams': Config (path: configs/dreamzero/dreamzero_libero_goal_full_finetune_w_cache.py): {...}, 'run_id': 'dreamzero_libero_goal_full_finetune_w_cache_2026_05_20_17_04_59'}, 'lr_scheduler_type': 'linear-warmup+cosine-decay', 'warmup_ratio': 0.05, 'enable_gradient_checkpointing': True, 'enable_mixed_precision_training': True, 'mixed_precision_dtype': 'bf16', 'sharding_strategy': 'full-shard', 'change_key_name': False, 'max_keep_ckpts': 1, 'cfg': Config (path: configs/dreamzero/dreamzero_libero_goal_full_finetune_w_cache.py): {...}, 'args': Namespace(config='configs/dreamzero/dreamzero_libero_goal_full_finetune_w_cache.py', work_dir='work_dirs/dreamzero_libero_goal_full_finetune_w_cache_31ae5d6d_bs64', cfg_options={'train_dataloader.per_device_batch_size': 4, 'per_device_num_workers': 4, 'runner.max_keep_ckpts': 1}, eval_after_train=True, resume_from=None)}, 'eval': {'type': 'LiberoEvalRunner', 'task_suite_name': 'libero_goal', 'model_family': 'dreamzero', 'eval_chunk_size': 10, 'resize_size': 128, 'num_trials_per_task': 50, 'num_steps_wait': 10, 'seed': 7, 'enable_mixed_precision_training': True, 'mixed_precision_dtype': 'bf16', 'dataset': {'type': 'LiberoParquetEvalDataset', 'img_buffer_len': 4, 'transforms': [{'type': 'ProcessLiberoEvalInputs', 'img_keys': ['agentview_image', 'robot0_eye_in_hand_image']}, {'type': 'TransformImage', 'image_resize_strategy': 'resize-naive', 'input_sizes': [[3, 128, 128], [3, 128, 128]], 'means': [[127.5, 127.5, 127.5], [127.5, 127.5, 127.5]], 'stds': [[127.5, 127.5, 127.5], [127.5, 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4}, 'args': Namespace(config='configs/dreamzero/dreamzero_libero_goal_full_finetune_w_cache.py', work_dir='work_dirs/dreamzero_libero_goal_full_finetune_w_cache_31ae5d6d_bs64', cfg_options={'train_dataloader.per_device_batch_size': 4, 'per_device_num_workers': 4, 'runner.max_keep_ckpts': 1}, eval_after_train=True, resume_from=None)}, 'eval': {'type': 'LiberoEvalRunner', 'task_suite_name': 'libero_goal', 'model_family': 'dreamzero', 'eval_chunk_size': 10, 'resize_size': 128, 'num_trials_per_task': 50, 'num_steps_wait': 10, 'seed': 7, 'enable_mixed_precision_training': True, 'mixed_precision_dtype': 'bf16', 'dataset': {'type': 'LiberoParquetEvalDataset', 'img_buffer_len': 4, 'transforms': [{'type': 'ProcessLiberoEvalInputs', 'img_keys': ['agentview_image', 'robot0_eye_in_hand_image']}, {'type': 'TransformImage', 'image_resize_strategy': 'resize-naive', 'input_sizes': [[3, 128, 128], [3, 128, 128]], 'means': [[127.5, 127.5, 127.5], [127.5, 127.5, 127.5]], 'stds': [[127.5, 127.5, 127.5], [127.5, 127.5, 127.5]]}, {'type': 'LiberoProprioFromInputs', 'norm_type': 'mean_std', 'pos_key': 'robot0_eef_pos', 'quat_key': 'robot0_eef_quat', 'gripper_key': 'robot0_gripper_qpos', 'state_dim': 32, 'out_key': 'states'}, {'type': 'LiberoPromptFromInputs', 'tokenizer': {'type': 'PretrainedTokenizer', 'model_path': './checkpoints/Wan2.1-I2V-14B-480P/google/umt5-xxl'}, 'max_len': 512, 'negative_prompt': 'Vibrant colors, overexposed, static, blurry details, text, subtitles, style, artwork, painting, image, still, grayscale, dull, worst quality, low quality, JPEG artifacts, ugly, mutilated, extra fingers, bad hands, bad face, deformed, disfigured, mutated limbs, fused fingers, stagnant image, cluttered background, three legs, many people in the background, walking backwards.', 'use_conversation': False}, {'type': 'PrepareVideo', 'num_views': 2, 'frame_window_size': 1}]}, 'denormalize_action': {'type': 'DenormalizeLiberoAction', 'norm_type': 'mean_std', 'action_dim': 7}}, 'per_device_num_workers': 4}", "run_id": "dreamzero_libero_goal_full_finetune_w_cache_2026_05_20_17_04_59"}
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