HardenZhao commited on
Commit
26180b5
·
verified ·
1 Parent(s): bf5a25d

Upload logs-21

Browse files
config.yaml ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ actor:
2
+ model:
3
+ model_type: openpi_pytorch
4
+ precision: fp32
5
+ is_lora: false
6
+ lora_rank: 32
7
+ num_action_chunks: 20
8
+ action_dim: 10
9
+ use_proprio: true
10
+ num_steps: 5
11
+ add_value_head: false
12
+ openpi:
13
+ task: sft
14
+ config_name: pi05_singlefranka_tcp_rot6d
15
+ num_images_in_input: 3
16
+ action_chunk: 20
17
+ action_env_dim: 10
18
+ model_action_dim: 32
19
+ paligemma_variant: gemma_2b
20
+ action_expert_variant: gemma_300m
21
+ max_token_len: 200
22
+ discrete_state_input: false
23
+ assets_dir: /mnt/workspace/embody-h2/users/zhaozihao/DAgger/assets/pi05_singlefranka_tcp_rot6d/umi_left_franka_tcp_rot6d
24
+ asset_id: fold_towel_umi-50plusEgodagger-franka_post_train_80_20
25
+ model_path: /mnt/workspace/embody-h2/users/zhaozihao/checkpoint_archive/fold_towel_umi50plusEgodagger_sft4000_weights_only
26
+ fsdp_config:
27
+ strategy: fsdp
28
+ sharding_strategy: full_shard
29
+ gradient_checkpointing: true
30
+ cpu_offload: false
31
+ offload_pin_memory: false
32
+ reshard_after_forward: true
33
+ enable_gradient_accumulation: true
34
+ forward_prefetch: false
35
+ limit_all_gathers: false
36
+ backward_prefetch: null
37
+ use_orig_params: true
38
+ use_liger_kernel: false
39
+ mixed_precision:
40
+ param_dtype: bf16
41
+ reduce_dtype: fp32
42
+ buffer_dtype: fp32
43
+ amp_autocast:
44
+ enabled: false
45
+ precision: bf16
46
+ grad_scaler:
47
+ enabled: false
48
+ init_scale: null
49
+ growth_interval: null
50
+ gradient_checkpointing_use_reentrant: false
51
+ group_name: ActorGroup
52
+ training_backend: fsdp
53
+ micro_batch_size: 16
54
+ eval_batch_size: 1
55
+ global_batch_size: 128
56
+ seed: 0
57
+ optim:
58
+ lr: 2.5e-06
59
+ adam_beta1: 0.9
60
+ adam_beta2: 0.95
61
+ adam_eps: 1.0e-08
62
+ weight_decay: 1.0e-10
63
+ clip_grad: 1.0
64
+ total_training_steps: 20000
65
+ lr_warmup_steps: 500
66
+ lr_scheduler: openpi_cosine
67
+ num_cycles: 0.5
68
+ min_lr: 2.5e-07
69
+ cluster:
70
+ num_nodes: 1
71
+ component_placement:
72
+ actor: 0-3
73
+ runner:
74
+ task_type: sft
75
+ logger:
76
+ log_path: /mnt/workspace/embody-h2/users/zhaozihao/DAgger/logs/fold_towel_umi-50plusEgodagger-franka-1
77
+ project_name: rlinf
78
+ experiment_name: umi_left_franka_tcp_rot6d_openpi_pytorch_post-train-weights-only8-2
79
+ logger_backends:
80
+ - tensorboard
81
+ max_epochs: -1
82
+ max_steps: 20000
83
+ val_check_interval: -1
84
+ save_interval: 2000
85
+ resume_dir: null
86
+ checkpoint_offload_dir: /mnt/workspace/embody-h2/users/zhaozihao/checkpoint_archive
87
+ per_worker_log: false
88
+ per_worker_log_path: null
89
+ data:
90
+ train_data_paths: dataset/fold_towel_umi-50plusEgodagger-franka
91
+ post_train: true
92
+ post_train_data_path: /mnt/workspace/embody-h2/users/zhaozihao/DAgger/egodagger_dataset/fold_towel_umi-egodagger2-franka
93
+ post_train_demo_ratio: 0.8
94
+ post_train_correction_ratio: 0.2
95
+ repo_id: ''
96
+ num_workers: 4
97
+ algorithm:
98
+ adv_type: gae
99
+ reward:
100
+ use_reward_model: false
101
+ critic:
102
+ use_critic_model: false
events.out.tfevents.1786472061.nb-yvzymxo9gc-0.275670.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92e5a754430b2feb421832c7ad0bf51dd48a19701918d0647155428c6d9cd661
3
+ size 4991468