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Intern-oft-0130v/checkpoints/steps_62000_pytorch_model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c77ccb7514b611db6cdb6304e771c81b9d9f42b4b7d62637de2fa3268b7a384
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size 2149479434
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Intern-oft-0130v/config.json
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{
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"run_id": "InternOFT-0130v-eep",
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"run_root_dir": "/data/LumosVLA/LumosVLA/results",
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"seed": 42,
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"trackers": [
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"jsonl",
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"wandb"
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],
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"wandb_entity": "xspadex-nanyang-technological-university-singapore",
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"wandb_project": "internvl-oft-0130v-eep",
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"is_debug": false,
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"framework": {
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"name": "InternOFT",
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"qwenvl": {
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"base_vlm": "/data/LumosVLA/LumosVLA/playground/internvl",
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"attn_implementation": "flash_attention_2",
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"vl_hidden_dim": 2048
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},
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"action_model": {
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"action_model_type": "VLA-Adapter",
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"hidden_dim": 2048,
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"action_dim": 20,
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"state_dim": 20,
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"action_query_num": 64,
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"use_pro_version": true,
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"use_proprio": true,
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"phase": "Training",
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| 28 |
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"future_action_window_size": 30
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| 29 |
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}
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},
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"datasets": {
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"vla_data": {
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"dataset_py": "lerobot_datasets",
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"data_root_dir": "/data/LumosVLA/LumosVLA/data/starvla_intern",
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"data_mix": "train_internAdapter",
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"per_device_batch_size": 32,
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"num_workers": 8,
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"action_type": "abs_ee",
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"image_size": 256,
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"video_backend": "pyav"
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}
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},
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"trainer": {
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"epochs": 100,
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"max_train_steps": 125000,
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"num_warmup_steps": 1000,
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"save_interval": 1000,
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"eval_interval": 100000,
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"learning_rate": {
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"base": 4e-06,
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"qwen_vl_interface": 4e-06,
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"action_model": 1e-05
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},
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"lr_scheduler_type": "cosine_with_min_lr",
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| 55 |
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"scheduler_specific_kwargs": {
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"min_lr": 5e-07
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},
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"freeze_modules": "intern_vl_interface.model.language_model",
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"loss_scale": {
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"vla": 1.0,
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"vlm": 0.05
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},
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"max_grad_norm": 1.0,
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"warmup_ratio": 0.1,
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| 65 |
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"weight_decay": 0.0,
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| 66 |
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"logging_frequency": 10,
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| 67 |
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"gradient_clipping": 1.0,
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| 68 |
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"gradient_accumulation_steps": 1,
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| 69 |
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"optimizer": {
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"name": "AdamW",
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| 71 |
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"betas": [
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0.9,
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0.95
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],
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| 75 |
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"eps": 1e-08,
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| 76 |
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"weight_decay": 0
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},
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| 78 |
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"is_resume": true,
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| 79 |
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"resume_step": 14000
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| 80 |
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},
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| 81 |
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"is_resume": false,
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| 82 |
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"resume_epoch": null,
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| 83 |
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"resume_step": null,
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| 84 |
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"enable_gradient_checkpointing": true,
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| 85 |
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"enable_mixed_precision_training": true,
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| 86 |
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"report_to": "wandb",
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| 87 |
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"wandb_run_name": "v1",
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| 88 |
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"output_dir": "/data/LumosVLA/LumosVLA/results/InternOFT-0130v-eep"
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| 89 |
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}
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Intern-oft-0130v/config.yaml
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@@ -0,0 +1,50 @@
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datasets:
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vla_data:
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| 3 |
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data_mix: train_internAdapter
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| 4 |
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data_root_dir: /data/LumosVLA/LumosVLA/data/starvla_intern
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| 5 |
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dataset_py: lerobot_datasets
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| 6 |
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image_size: 256
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num_workers: 8
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per_device_batch_size: 32
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framework:
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action_model:
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action_dim: 20
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| 12 |
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action_hidden_dim: 1024
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action_model_type: VLA-Adapter
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| 14 |
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future_action_window_size: 30
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| 15 |
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hidden_dim: 1024
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state_dim: 20
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| 17 |
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use_proprio: true
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| 18 |
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name: InternOFT
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| 19 |
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qwenvl:
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| 20 |
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base_vlm: /data/LumosVLA/LumosVLA/playground/internvl
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| 21 |
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vl_hidden_dim: 1024
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| 22 |
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output_dir: /data/LumosVLA/LumosVLA/results/InternOFT-0130v-eep
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| 23 |
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run_id: InternOFT-0130v-eep
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| 24 |
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run_root_dir: /data/LumosVLA/LumosVLA/results
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| 25 |
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seed: 42
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| 26 |
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trainer:
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| 27 |
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eval_interval: 100000
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| 28 |
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freeze_modules: intern_vl_interface.model.language_model
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| 29 |
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gradient_accumulation_steps: 1
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| 30 |
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gradient_clipping: 1.0
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| 31 |
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is_resume: true
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| 32 |
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learning_rate:
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| 33 |
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action_model: 1.0e-05
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| 34 |
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base: 4.0e-06
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| 35 |
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qwen_vl_interface: 4.0e-06
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| 36 |
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logging_frequency: 10
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| 37 |
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lr_scheduler_type: cosine_with_min_lr
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| 38 |
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max_train_steps: 125000
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| 39 |
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num_warmup_steps: 1000
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| 40 |
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optimizer:
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| 41 |
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betas:
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| 42 |
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- 0.9
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| 43 |
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- 0.95
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| 44 |
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eps: 1.0e-08
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| 45 |
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weight_decay: 0
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| 46 |
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save_interval: 1000
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| 47 |
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scheduler_specific_kwargs:
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| 48 |
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min_lr: 5.0e-07
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| 49 |
+
wandb_entity: xspadex-nanyang-technological-university-singapore
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| 50 |
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wandb_project: internvl-oft-0130v-eep
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Intern-oft-0130v/dataset_statistics.json
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{
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"new_embodiment": {
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| 3 |
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"action": {
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"mean": [
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],
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"std": [
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],
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"max": [
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],
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"min": [
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],
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"q01": [
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