Upload folder using huggingface_hub
Browse files- checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/config.json +92 -0
- checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/model.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/policy_postprocessor.json +32 -0
- checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/policy_preprocessor.json +56 -0
- checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/policy_preprocessor_step_3_normalizer_processor.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/train_config.json +302 -0
- checkpoints/dagger/1iter/checkpoints/004000/training_state/optimizer_param_groups.json +396 -0
- checkpoints/dagger/1iter/checkpoints/004000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/004000/training_state/rng_state.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/004000/training_state/scheduler_state.json +15 -0
- checkpoints/dagger/1iter/checkpoints/004000/training_state/training_step.json +3 -0
- checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/config.json +92 -0
- checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/model.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/policy_postprocessor.json +32 -0
- checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/policy_preprocessor.json +56 -0
- checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/policy_preprocessor_step_3_normalizer_processor.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/train_config.json +302 -0
- checkpoints/dagger/1iter/checkpoints/006000/training_state/optimizer_param_groups.json +396 -0
- checkpoints/dagger/1iter/checkpoints/006000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/006000/training_state/rng_state.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/006000/training_state/scheduler_state.json +15 -0
- checkpoints/dagger/1iter/checkpoints/006000/training_state/training_step.json +3 -0
- checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/config.json +92 -0
- checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/model.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/policy_postprocessor.json +32 -0
- checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/policy_preprocessor.json +56 -0
- checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/policy_preprocessor_step_3_normalizer_processor.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/train_config.json +302 -0
- checkpoints/dagger/1iter/checkpoints/008000/training_state/optimizer_param_groups.json +396 -0
- checkpoints/dagger/1iter/checkpoints/008000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/008000/training_state/rng_state.safetensors +3 -0
- checkpoints/dagger/1iter/checkpoints/008000/training_state/scheduler_state.json +15 -0
- checkpoints/dagger/1iter/checkpoints/008000/training_state/training_step.json +3 -0
- checkpoints/dagger/1iter/wandb/debug-internal.log +92 -0
- checkpoints/dagger/1iter/wandb/run-20260520_173853-ql0pvhal/files/output.log +335 -1
- checkpoints/dagger/1iter/wandb/run-20260520_173853-ql0pvhal/logs/debug-internal.log +92 -0
- checkpoints/dagger/1iter/wandb/run-20260520_173853-ql0pvhal/run-ql0pvhal.wandb +2 -2
checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/config.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "diffusion",
|
| 3 |
+
"n_obs_steps": 2,
|
| 4 |
+
"input_features": {
|
| 5 |
+
"observation.state": {
|
| 6 |
+
"type": "STATE",
|
| 7 |
+
"shape": [
|
| 8 |
+
6
|
| 9 |
+
]
|
| 10 |
+
},
|
| 11 |
+
"observation.images.front": {
|
| 12 |
+
"type": "VISUAL",
|
| 13 |
+
"shape": [
|
| 14 |
+
3,
|
| 15 |
+
480,
|
| 16 |
+
640
|
| 17 |
+
]
|
| 18 |
+
}
|
| 19 |
+
},
|
| 20 |
+
"output_features": {
|
| 21 |
+
"action": {
|
| 22 |
+
"type": "ACTION",
|
| 23 |
+
"shape": [
|
| 24 |
+
6
|
| 25 |
+
]
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"device": "cuda",
|
| 29 |
+
"use_amp": false,
|
| 30 |
+
"use_peft": false,
|
| 31 |
+
"push_to_hub": false,
|
| 32 |
+
"repo_id": null,
|
| 33 |
+
"private": null,
|
| 34 |
+
"tags": null,
|
| 35 |
+
"license": null,
|
| 36 |
+
"pretrained_path": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_specialized_523_dataset_base_from_dino_780_new_config_11H47/checkpoints/010000/pretrained_model",
|
| 37 |
+
"horizon": 16,
|
| 38 |
+
"n_action_steps": 8,
|
| 39 |
+
"normalization_mapping": {
|
| 40 |
+
"VISUAL": "MEAN_STD",
|
| 41 |
+
"STATE": "MIN_MAX",
|
| 42 |
+
"ACTION": "MIN_MAX"
|
| 43 |
+
},
|
| 44 |
+
"drop_n_last_frames": 7,
|
| 45 |
+
"vision_backbone_type": "dinov2",
|
| 46 |
+
"vision_encoder_name": "facebook/dinov2-small",
|
| 47 |
+
"freeze_vision_encoder": true,
|
| 48 |
+
"vision_backbone": "resnet18",
|
| 49 |
+
"resize_shape": [
|
| 50 |
+
224,
|
| 51 |
+
224
|
| 52 |
+
],
|
| 53 |
+
"crop_ratio": 1.0,
|
| 54 |
+
"crop_shape": null,
|
| 55 |
+
"crop_is_random": true,
|
| 56 |
+
"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
|
| 57 |
+
"use_group_norm": false,
|
| 58 |
+
"spatial_softmax_num_keypoints": 32,
|
| 59 |
+
"vit_pool_type": "spatial_softmax",
|
| 60 |
+
"vit_feature_dim": 512,
|
| 61 |
+
"use_separate_rgb_encoder_per_camera": true,
|
| 62 |
+
"down_dims": [
|
| 63 |
+
512,
|
| 64 |
+
1024,
|
| 65 |
+
2048
|
| 66 |
+
],
|
| 67 |
+
"kernel_size": 5,
|
| 68 |
+
"n_groups": 8,
|
| 69 |
+
"diffusion_step_embed_dim": 128,
|
| 70 |
+
"use_film_scale_modulation": true,
|
| 71 |
+
"noise_scheduler_type": "DDPM",
|
| 72 |
+
"num_train_timesteps": 100,
|
| 73 |
+
"beta_schedule": "squaredcos_cap_v2",
|
| 74 |
+
"beta_start": 0.0001,
|
| 75 |
+
"beta_end": 0.02,
|
| 76 |
+
"prediction_type": "epsilon",
|
| 77 |
+
"clip_sample": true,
|
| 78 |
+
"clip_sample_range": 1.0,
|
| 79 |
+
"num_inference_steps": 100,
|
| 80 |
+
"compile_model": false,
|
| 81 |
+
"compile_mode": "reduce-overhead",
|
| 82 |
+
"do_mask_loss_for_padding": false,
|
| 83 |
+
"optimizer_lr": 5e-05,
|
| 84 |
+
"optimizer_betas": [
|
| 85 |
+
0.95,
|
| 86 |
+
0.999
|
| 87 |
+
],
|
| 88 |
+
"optimizer_eps": 1e-08,
|
| 89 |
+
"optimizer_weight_decay": 1e-06,
|
| 90 |
+
"scheduler_name": "cosine",
|
| 91 |
+
"scheduler_warmup_steps": 100
|
| 92 |
+
}
|
checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e31c7c68a38bd42b4b2ae588bbdda5c7db50721b6ddcb6141c0dd5f995118092
|
| 3 |
+
size 1095367712
|
checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/policy_postprocessor.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "policy_postprocessor",
|
| 3 |
+
"steps": [
|
| 4 |
+
{
|
| 5 |
+
"registry_name": "unnormalizer_processor",
|
| 6 |
+
"config": {
|
| 7 |
+
"eps": 1e-08,
|
| 8 |
+
"features": {
|
| 9 |
+
"action": {
|
| 10 |
+
"type": "ACTION",
|
| 11 |
+
"shape": [
|
| 12 |
+
6
|
| 13 |
+
]
|
| 14 |
+
}
|
| 15 |
+
},
|
| 16 |
+
"norm_map": {
|
| 17 |
+
"VISUAL": "MEAN_STD",
|
| 18 |
+
"STATE": "MIN_MAX",
|
| 19 |
+
"ACTION": "MIN_MAX"
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
"state_file": "policy_postprocessor_step_0_unnormalizer_processor.safetensors"
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"registry_name": "device_processor",
|
| 26 |
+
"config": {
|
| 27 |
+
"device": "cpu",
|
| 28 |
+
"float_dtype": null
|
| 29 |
+
}
|
| 30 |
+
}
|
| 31 |
+
]
|
| 32 |
+
}
|
checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2cffd05b8fcb092f386f0047017f12099a576aa260612cfb4a12f36d9746bfa
|
| 3 |
+
size 6560
|
checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/policy_preprocessor.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "device_processor",
|
| 16 |
+
"config": {
|
| 17 |
+
"device": "cuda",
|
| 18 |
+
"float_dtype": null
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"registry_name": "normalizer_processor",
|
| 23 |
+
"config": {
|
| 24 |
+
"eps": 1e-08,
|
| 25 |
+
"features": {
|
| 26 |
+
"observation.state": {
|
| 27 |
+
"type": "STATE",
|
| 28 |
+
"shape": [
|
| 29 |
+
6
|
| 30 |
+
]
|
| 31 |
+
},
|
| 32 |
+
"observation.images.front": {
|
| 33 |
+
"type": "VISUAL",
|
| 34 |
+
"shape": [
|
| 35 |
+
3,
|
| 36 |
+
480,
|
| 37 |
+
640
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"action": {
|
| 41 |
+
"type": "ACTION",
|
| 42 |
+
"shape": [
|
| 43 |
+
6
|
| 44 |
+
]
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"norm_map": {
|
| 48 |
+
"VISUAL": "MEAN_STD",
|
| 49 |
+
"STATE": "MIN_MAX",
|
| 50 |
+
"ACTION": "MIN_MAX"
|
| 51 |
+
}
|
| 52 |
+
},
|
| 53 |
+
"state_file": "policy_preprocessor_step_3_normalizer_processor.safetensors"
|
| 54 |
+
}
|
| 55 |
+
]
|
| 56 |
+
}
|
checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/policy_preprocessor_step_3_normalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2cffd05b8fcb092f386f0047017f12099a576aa260612cfb4a12f36d9746bfa
|
| 3 |
+
size 6560
|
checkpoints/dagger/1iter/checkpoints/004000/pretrained_model/train_config.json
ADDED
|
@@ -0,0 +1,302 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset": {
|
| 3 |
+
"repo_id": "local/dagger_episodes",
|
| 4 |
+
"root": "/home/shadeform/Desktop/robot_learning/base_new_dataset_dagger_628",
|
| 5 |
+
"episodes": null,
|
| 6 |
+
"image_transforms": {
|
| 7 |
+
"enable": false,
|
| 8 |
+
"max_num_transforms": 3,
|
| 9 |
+
"random_order": false,
|
| 10 |
+
"same_cloth_color": false,
|
| 11 |
+
"tfs": {
|
| 12 |
+
"color_jitter": {
|
| 13 |
+
"weight": 1.5,
|
| 14 |
+
"type": "ColorJitter",
|
| 15 |
+
"kwargs": {
|
| 16 |
+
"brightness": [
|
| 17 |
+
0.7,
|
| 18 |
+
1.3
|
| 19 |
+
],
|
| 20 |
+
"contrast": [
|
| 21 |
+
0.7,
|
| 22 |
+
1.3
|
| 23 |
+
],
|
| 24 |
+
"saturation": [
|
| 25 |
+
0.4,
|
| 26 |
+
1.6
|
| 27 |
+
],
|
| 28 |
+
"hue": [
|
| 29 |
+
-0.5,
|
| 30 |
+
0.5
|
| 31 |
+
]
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"grayscale": {
|
| 35 |
+
"weight": 0.5,
|
| 36 |
+
"type": "RandomGrayscale",
|
| 37 |
+
"kwargs": {
|
| 38 |
+
"p": 1.0
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"shadow": {
|
| 42 |
+
"weight": 0.8,
|
| 43 |
+
"type": "RandomShadow",
|
| 44 |
+
"kwargs": {
|
| 45 |
+
"num_shadows": [
|
| 46 |
+
1,
|
| 47 |
+
2
|
| 48 |
+
],
|
| 49 |
+
"intensity": [
|
| 50 |
+
0.4,
|
| 51 |
+
0.7
|
| 52 |
+
],
|
| 53 |
+
"blur_sigma": [
|
| 54 |
+
4.0,
|
| 55 |
+
20.0
|
| 56 |
+
]
|
| 57 |
+
}
|
| 58 |
+
},
|
| 59 |
+
"highlight": {
|
| 60 |
+
"weight": 0.5,
|
| 61 |
+
"type": "RandomHighlight",
|
| 62 |
+
"kwargs": {
|
| 63 |
+
"num_highlights": [
|
| 64 |
+
0,
|
| 65 |
+
1
|
| 66 |
+
],
|
| 67 |
+
"intensity": [
|
| 68 |
+
0.2,
|
| 69 |
+
0.5
|
| 70 |
+
],
|
| 71 |
+
"sigma": [
|
| 72 |
+
20.0,
|
| 73 |
+
60.0
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"gamma": {
|
| 78 |
+
"weight": 0.7,
|
| 79 |
+
"type": "RandomGamma",
|
| 80 |
+
"kwargs": {
|
| 81 |
+
"gamma": [
|
| 82 |
+
0.6,
|
| 83 |
+
1.4
|
| 84 |
+
]
|
| 85 |
+
}
|
| 86 |
+
},
|
| 87 |
+
"blur": {
|
| 88 |
+
"weight": 0.0,
|
| 89 |
+
"type": "GaussianBlur",
|
| 90 |
+
"kwargs": {
|
| 91 |
+
"kernel_size": [
|
| 92 |
+
3,
|
| 93 |
+
3
|
| 94 |
+
],
|
| 95 |
+
"sigma": [
|
| 96 |
+
0.1,
|
| 97 |
+
1.5
|
| 98 |
+
]
|
| 99 |
+
}
|
| 100 |
+
},
|
| 101 |
+
"jpeg": {
|
| 102 |
+
"weight": 0.0,
|
| 103 |
+
"type": "RandomJPEG",
|
| 104 |
+
"kwargs": {
|
| 105 |
+
"quality": [
|
| 106 |
+
60,
|
| 107 |
+
95
|
| 108 |
+
]
|
| 109 |
+
}
|
| 110 |
+
},
|
| 111 |
+
"crop": {
|
| 112 |
+
"weight": 0.5,
|
| 113 |
+
"type": "RandomCropPreserveSize",
|
| 114 |
+
"kwargs": {
|
| 115 |
+
"scale": [
|
| 116 |
+
0.97,
|
| 117 |
+
1.0
|
| 118 |
+
],
|
| 119 |
+
"ratio": [
|
| 120 |
+
0.99,
|
| 121 |
+
1.01
|
| 122 |
+
]
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"affine": {
|
| 126 |
+
"weight": 0.0,
|
| 127 |
+
"type": "RandomAffine",
|
| 128 |
+
"kwargs": {
|
| 129 |
+
"degrees": [
|
| 130 |
+
-5.0,
|
| 131 |
+
5.0
|
| 132 |
+
],
|
| 133 |
+
"translate": [
|
| 134 |
+
0.05,
|
| 135 |
+
0.05
|
| 136 |
+
]
|
| 137 |
+
}
|
| 138 |
+
},
|
| 139 |
+
"sharpness": {
|
| 140 |
+
"weight": 1.0,
|
| 141 |
+
"type": "SharpnessJitter",
|
| 142 |
+
"kwargs": {
|
| 143 |
+
"sharpness": [
|
| 144 |
+
0.5,
|
| 145 |
+
1.5
|
| 146 |
+
]
|
| 147 |
+
}
|
| 148 |
+
}
|
| 149 |
+
}
|
| 150 |
+
},
|
| 151 |
+
"revision": null,
|
| 152 |
+
"use_imagenet_stats": true,
|
| 153 |
+
"video_backend": "pyav",
|
| 154 |
+
"return_uint8": false,
|
| 155 |
+
"streaming": false
|
| 156 |
+
},
|
| 157 |
+
"env": null,
|
| 158 |
+
"policy": {
|
| 159 |
+
"type": "diffusion",
|
| 160 |
+
"n_obs_steps": 2,
|
| 161 |
+
"input_features": {
|
| 162 |
+
"observation.state": {
|
| 163 |
+
"type": "STATE",
|
| 164 |
+
"shape": [
|
| 165 |
+
6
|
| 166 |
+
]
|
| 167 |
+
},
|
| 168 |
+
"observation.images.front": {
|
| 169 |
+
"type": "VISUAL",
|
| 170 |
+
"shape": [
|
| 171 |
+
3,
|
| 172 |
+
480,
|
| 173 |
+
640
|
| 174 |
+
]
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
"output_features": {
|
| 178 |
+
"action": {
|
| 179 |
+
"type": "ACTION",
|
| 180 |
+
"shape": [
|
| 181 |
+
6
|
| 182 |
+
]
|
| 183 |
+
}
|
| 184 |
+
},
|
| 185 |
+
"device": "cuda",
|
| 186 |
+
"use_amp": false,
|
| 187 |
+
"use_peft": false,
|
| 188 |
+
"push_to_hub": false,
|
| 189 |
+
"repo_id": null,
|
| 190 |
+
"private": null,
|
| 191 |
+
"tags": null,
|
| 192 |
+
"license": null,
|
| 193 |
+
"pretrained_path": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_specialized_523_dataset_base_from_dino_780_new_config_11H47/checkpoints/010000/pretrained_model",
|
| 194 |
+
"horizon": 16,
|
| 195 |
+
"n_action_steps": 8,
|
| 196 |
+
"normalization_mapping": {
|
| 197 |
+
"VISUAL": "MEAN_STD",
|
| 198 |
+
"STATE": "MIN_MAX",
|
| 199 |
+
"ACTION": "MIN_MAX"
|
| 200 |
+
},
|
| 201 |
+
"drop_n_last_frames": 7,
|
| 202 |
+
"vision_backbone_type": "dinov2",
|
| 203 |
+
"vision_encoder_name": "facebook/dinov2-small",
|
| 204 |
+
"freeze_vision_encoder": true,
|
| 205 |
+
"vision_backbone": "resnet18",
|
| 206 |
+
"resize_shape": [
|
| 207 |
+
224,
|
| 208 |
+
224
|
| 209 |
+
],
|
| 210 |
+
"crop_ratio": 1.0,
|
| 211 |
+
"crop_shape": null,
|
| 212 |
+
"crop_is_random": true,
|
| 213 |
+
"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
|
| 214 |
+
"use_group_norm": false,
|
| 215 |
+
"spatial_softmax_num_keypoints": 32,
|
| 216 |
+
"vit_pool_type": "spatial_softmax",
|
| 217 |
+
"vit_feature_dim": 512,
|
| 218 |
+
"use_separate_rgb_encoder_per_camera": true,
|
| 219 |
+
"down_dims": [
|
| 220 |
+
512,
|
| 221 |
+
1024,
|
| 222 |
+
2048
|
| 223 |
+
],
|
| 224 |
+
"kernel_size": 5,
|
| 225 |
+
"n_groups": 8,
|
| 226 |
+
"diffusion_step_embed_dim": 128,
|
| 227 |
+
"use_film_scale_modulation": true,
|
| 228 |
+
"noise_scheduler_type": "DDPM",
|
| 229 |
+
"num_train_timesteps": 100,
|
| 230 |
+
"beta_schedule": "squaredcos_cap_v2",
|
| 231 |
+
"beta_start": 0.0001,
|
| 232 |
+
"beta_end": 0.02,
|
| 233 |
+
"prediction_type": "epsilon",
|
| 234 |
+
"clip_sample": true,
|
| 235 |
+
"clip_sample_range": 1.0,
|
| 236 |
+
"num_inference_steps": 100,
|
| 237 |
+
"compile_model": false,
|
| 238 |
+
"compile_mode": "reduce-overhead",
|
| 239 |
+
"do_mask_loss_for_padding": false,
|
| 240 |
+
"optimizer_lr": 5e-05,
|
| 241 |
+
"optimizer_betas": [
|
| 242 |
+
0.95,
|
| 243 |
+
0.999
|
| 244 |
+
],
|
| 245 |
+
"optimizer_eps": 1e-08,
|
| 246 |
+
"optimizer_weight_decay": 1e-06,
|
| 247 |
+
"scheduler_name": "cosine",
|
| 248 |
+
"scheduler_warmup_steps": 100
|
| 249 |
+
},
|
| 250 |
+
"reward_model": null,
|
| 251 |
+
"output_dir": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_dagger_iter1_25000steps_20260520_173844",
|
| 252 |
+
"job_name": "diffusion_dagger_iter1_25000steps_20260520_173844",
|
| 253 |
+
"resume": false,
|
| 254 |
+
"seed": 1000,
|
| 255 |
+
"cudnn_deterministic": false,
|
| 256 |
+
"num_workers": 16,
|
| 257 |
+
"batch_size": 64,
|
| 258 |
+
"prefetch_factor": 4,
|
| 259 |
+
"persistent_workers": true,
|
| 260 |
+
"steps": 25000,
|
| 261 |
+
"eval_freq": 0,
|
| 262 |
+
"log_freq": 20,
|
| 263 |
+
"tolerance_s": 0.0001,
|
| 264 |
+
"save_checkpoint": true,
|
| 265 |
+
"save_freq": 2000,
|
| 266 |
+
"use_policy_training_preset": true,
|
| 267 |
+
"optimizer": {
|
| 268 |
+
"type": "adam",
|
| 269 |
+
"lr": 5e-05,
|
| 270 |
+
"weight_decay": 1e-06,
|
| 271 |
+
"grad_clip_norm": 10.0,
|
| 272 |
+
"betas": [
|
| 273 |
+
0.95,
|
| 274 |
+
0.999
|
| 275 |
+
],
|
| 276 |
+
"eps": 1e-08
|
| 277 |
+
},
|
| 278 |
+
"scheduler": {
|
| 279 |
+
"type": "diffuser",
|
| 280 |
+
"num_warmup_steps": 100,
|
| 281 |
+
"name": "cosine"
|
| 282 |
+
},
|
| 283 |
+
"eval": {
|
| 284 |
+
"n_episodes": 50,
|
| 285 |
+
"batch_size": 19,
|
| 286 |
+
"use_async_envs": true
|
| 287 |
+
},
|
| 288 |
+
"wandb": {
|
| 289 |
+
"enable": true,
|
| 290 |
+
"disable_artifact": false,
|
| 291 |
+
"project": "lerobot",
|
| 292 |
+
"entity": null,
|
| 293 |
+
"notes": null,
|
| 294 |
+
"run_id": "ql0pvhal",
|
| 295 |
+
"mode": null,
|
| 296 |
+
"add_tags": true
|
| 297 |
+
},
|
| 298 |
+
"peft": null,
|
| 299 |
+
"sample_weighting": null,
|
| 300 |
+
"rename_map": {},
|
| 301 |
+
"checkpoint_path": null
|
| 302 |
+
}
|
checkpoints/dagger/1iter/checkpoints/004000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,396 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"lr": 4.703407665036622e-05,
|
| 4 |
+
"betas": [
|
| 5 |
+
0.95,
|
| 6 |
+
0.999
|
| 7 |
+
],
|
| 8 |
+
"eps": 1e-08,
|
| 9 |
+
"weight_decay": 1e-06,
|
| 10 |
+
"amsgrad": false,
|
| 11 |
+
"maximize": false,
|
| 12 |
+
"foreach": null,
|
| 13 |
+
"capturable": false,
|
| 14 |
+
"differentiable": false,
|
| 15 |
+
"fused": null,
|
| 16 |
+
"decoupled_weight_decay": false,
|
| 17 |
+
"initial_lr": 5e-05,
|
| 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 |
+
]
|
| 395 |
+
}
|
| 396 |
+
]
|
checkpoints/dagger/1iter/checkpoints/004000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e3ee4b5d77ae845ef71ee1bd314f2618c23b0156314430f5810654316e48441
|
| 3 |
+
size 2014217744
|
checkpoints/dagger/1iter/checkpoints/004000/training_state/rng_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2318e81094532c2d3ce33d8ebcc64c45bfceaa95b42fddd38f95de541632aa36
|
| 3 |
+
size 15708
|
checkpoints/dagger/1iter/checkpoints/004000/training_state/scheduler_state.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_lrs": [
|
| 3 |
+
5e-05
|
| 4 |
+
],
|
| 5 |
+
"last_epoch": 4000,
|
| 6 |
+
"_step_count": 4001,
|
| 7 |
+
"_is_initial": false,
|
| 8 |
+
"_get_lr_called_within_step": false,
|
| 9 |
+
"_last_lr": [
|
| 10 |
+
4.703407665036622e-05
|
| 11 |
+
],
|
| 12 |
+
"lr_lambdas": [
|
| 13 |
+
null
|
| 14 |
+
]
|
| 15 |
+
}
|
checkpoints/dagger/1iter/checkpoints/004000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 4000
|
| 3 |
+
}
|
checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/config.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "diffusion",
|
| 3 |
+
"n_obs_steps": 2,
|
| 4 |
+
"input_features": {
|
| 5 |
+
"observation.state": {
|
| 6 |
+
"type": "STATE",
|
| 7 |
+
"shape": [
|
| 8 |
+
6
|
| 9 |
+
]
|
| 10 |
+
},
|
| 11 |
+
"observation.images.front": {
|
| 12 |
+
"type": "VISUAL",
|
| 13 |
+
"shape": [
|
| 14 |
+
3,
|
| 15 |
+
480,
|
| 16 |
+
640
|
| 17 |
+
]
|
| 18 |
+
}
|
| 19 |
+
},
|
| 20 |
+
"output_features": {
|
| 21 |
+
"action": {
|
| 22 |
+
"type": "ACTION",
|
| 23 |
+
"shape": [
|
| 24 |
+
6
|
| 25 |
+
]
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"device": "cuda",
|
| 29 |
+
"use_amp": false,
|
| 30 |
+
"use_peft": false,
|
| 31 |
+
"push_to_hub": false,
|
| 32 |
+
"repo_id": null,
|
| 33 |
+
"private": null,
|
| 34 |
+
"tags": null,
|
| 35 |
+
"license": null,
|
| 36 |
+
"pretrained_path": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_specialized_523_dataset_base_from_dino_780_new_config_11H47/checkpoints/010000/pretrained_model",
|
| 37 |
+
"horizon": 16,
|
| 38 |
+
"n_action_steps": 8,
|
| 39 |
+
"normalization_mapping": {
|
| 40 |
+
"VISUAL": "MEAN_STD",
|
| 41 |
+
"STATE": "MIN_MAX",
|
| 42 |
+
"ACTION": "MIN_MAX"
|
| 43 |
+
},
|
| 44 |
+
"drop_n_last_frames": 7,
|
| 45 |
+
"vision_backbone_type": "dinov2",
|
| 46 |
+
"vision_encoder_name": "facebook/dinov2-small",
|
| 47 |
+
"freeze_vision_encoder": true,
|
| 48 |
+
"vision_backbone": "resnet18",
|
| 49 |
+
"resize_shape": [
|
| 50 |
+
224,
|
| 51 |
+
224
|
| 52 |
+
],
|
| 53 |
+
"crop_ratio": 1.0,
|
| 54 |
+
"crop_shape": null,
|
| 55 |
+
"crop_is_random": true,
|
| 56 |
+
"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
|
| 57 |
+
"use_group_norm": false,
|
| 58 |
+
"spatial_softmax_num_keypoints": 32,
|
| 59 |
+
"vit_pool_type": "spatial_softmax",
|
| 60 |
+
"vit_feature_dim": 512,
|
| 61 |
+
"use_separate_rgb_encoder_per_camera": true,
|
| 62 |
+
"down_dims": [
|
| 63 |
+
512,
|
| 64 |
+
1024,
|
| 65 |
+
2048
|
| 66 |
+
],
|
| 67 |
+
"kernel_size": 5,
|
| 68 |
+
"n_groups": 8,
|
| 69 |
+
"diffusion_step_embed_dim": 128,
|
| 70 |
+
"use_film_scale_modulation": true,
|
| 71 |
+
"noise_scheduler_type": "DDPM",
|
| 72 |
+
"num_train_timesteps": 100,
|
| 73 |
+
"beta_schedule": "squaredcos_cap_v2",
|
| 74 |
+
"beta_start": 0.0001,
|
| 75 |
+
"beta_end": 0.02,
|
| 76 |
+
"prediction_type": "epsilon",
|
| 77 |
+
"clip_sample": true,
|
| 78 |
+
"clip_sample_range": 1.0,
|
| 79 |
+
"num_inference_steps": 100,
|
| 80 |
+
"compile_model": false,
|
| 81 |
+
"compile_mode": "reduce-overhead",
|
| 82 |
+
"do_mask_loss_for_padding": false,
|
| 83 |
+
"optimizer_lr": 5e-05,
|
| 84 |
+
"optimizer_betas": [
|
| 85 |
+
0.95,
|
| 86 |
+
0.999
|
| 87 |
+
],
|
| 88 |
+
"optimizer_eps": 1e-08,
|
| 89 |
+
"optimizer_weight_decay": 1e-06,
|
| 90 |
+
"scheduler_name": "cosine",
|
| 91 |
+
"scheduler_warmup_steps": 100
|
| 92 |
+
}
|
checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a8b5dcc03ebce3db73b4e5e0249eb88482b1d9d3715c338c301b9d577b3914e
|
| 3 |
+
size 1095367712
|
checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/policy_postprocessor.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "policy_postprocessor",
|
| 3 |
+
"steps": [
|
| 4 |
+
{
|
| 5 |
+
"registry_name": "unnormalizer_processor",
|
| 6 |
+
"config": {
|
| 7 |
+
"eps": 1e-08,
|
| 8 |
+
"features": {
|
| 9 |
+
"action": {
|
| 10 |
+
"type": "ACTION",
|
| 11 |
+
"shape": [
|
| 12 |
+
6
|
| 13 |
+
]
|
| 14 |
+
}
|
| 15 |
+
},
|
| 16 |
+
"norm_map": {
|
| 17 |
+
"VISUAL": "MEAN_STD",
|
| 18 |
+
"STATE": "MIN_MAX",
|
| 19 |
+
"ACTION": "MIN_MAX"
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
"state_file": "policy_postprocessor_step_0_unnormalizer_processor.safetensors"
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"registry_name": "device_processor",
|
| 26 |
+
"config": {
|
| 27 |
+
"device": "cpu",
|
| 28 |
+
"float_dtype": null
|
| 29 |
+
}
|
| 30 |
+
}
|
| 31 |
+
]
|
| 32 |
+
}
|
checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2cffd05b8fcb092f386f0047017f12099a576aa260612cfb4a12f36d9746bfa
|
| 3 |
+
size 6560
|
checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/policy_preprocessor.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "device_processor",
|
| 16 |
+
"config": {
|
| 17 |
+
"device": "cuda",
|
| 18 |
+
"float_dtype": null
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"registry_name": "normalizer_processor",
|
| 23 |
+
"config": {
|
| 24 |
+
"eps": 1e-08,
|
| 25 |
+
"features": {
|
| 26 |
+
"observation.state": {
|
| 27 |
+
"type": "STATE",
|
| 28 |
+
"shape": [
|
| 29 |
+
6
|
| 30 |
+
]
|
| 31 |
+
},
|
| 32 |
+
"observation.images.front": {
|
| 33 |
+
"type": "VISUAL",
|
| 34 |
+
"shape": [
|
| 35 |
+
3,
|
| 36 |
+
480,
|
| 37 |
+
640
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"action": {
|
| 41 |
+
"type": "ACTION",
|
| 42 |
+
"shape": [
|
| 43 |
+
6
|
| 44 |
+
]
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"norm_map": {
|
| 48 |
+
"VISUAL": "MEAN_STD",
|
| 49 |
+
"STATE": "MIN_MAX",
|
| 50 |
+
"ACTION": "MIN_MAX"
|
| 51 |
+
}
|
| 52 |
+
},
|
| 53 |
+
"state_file": "policy_preprocessor_step_3_normalizer_processor.safetensors"
|
| 54 |
+
}
|
| 55 |
+
]
|
| 56 |
+
}
|
checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/policy_preprocessor_step_3_normalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2cffd05b8fcb092f386f0047017f12099a576aa260612cfb4a12f36d9746bfa
|
| 3 |
+
size 6560
|
checkpoints/dagger/1iter/checkpoints/006000/pretrained_model/train_config.json
ADDED
|
@@ -0,0 +1,302 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset": {
|
| 3 |
+
"repo_id": "local/dagger_episodes",
|
| 4 |
+
"root": "/home/shadeform/Desktop/robot_learning/base_new_dataset_dagger_628",
|
| 5 |
+
"episodes": null,
|
| 6 |
+
"image_transforms": {
|
| 7 |
+
"enable": false,
|
| 8 |
+
"max_num_transforms": 3,
|
| 9 |
+
"random_order": false,
|
| 10 |
+
"same_cloth_color": false,
|
| 11 |
+
"tfs": {
|
| 12 |
+
"color_jitter": {
|
| 13 |
+
"weight": 1.5,
|
| 14 |
+
"type": "ColorJitter",
|
| 15 |
+
"kwargs": {
|
| 16 |
+
"brightness": [
|
| 17 |
+
0.7,
|
| 18 |
+
1.3
|
| 19 |
+
],
|
| 20 |
+
"contrast": [
|
| 21 |
+
0.7,
|
| 22 |
+
1.3
|
| 23 |
+
],
|
| 24 |
+
"saturation": [
|
| 25 |
+
0.4,
|
| 26 |
+
1.6
|
| 27 |
+
],
|
| 28 |
+
"hue": [
|
| 29 |
+
-0.5,
|
| 30 |
+
0.5
|
| 31 |
+
]
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"grayscale": {
|
| 35 |
+
"weight": 0.5,
|
| 36 |
+
"type": "RandomGrayscale",
|
| 37 |
+
"kwargs": {
|
| 38 |
+
"p": 1.0
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"shadow": {
|
| 42 |
+
"weight": 0.8,
|
| 43 |
+
"type": "RandomShadow",
|
| 44 |
+
"kwargs": {
|
| 45 |
+
"num_shadows": [
|
| 46 |
+
1,
|
| 47 |
+
2
|
| 48 |
+
],
|
| 49 |
+
"intensity": [
|
| 50 |
+
0.4,
|
| 51 |
+
0.7
|
| 52 |
+
],
|
| 53 |
+
"blur_sigma": [
|
| 54 |
+
4.0,
|
| 55 |
+
20.0
|
| 56 |
+
]
|
| 57 |
+
}
|
| 58 |
+
},
|
| 59 |
+
"highlight": {
|
| 60 |
+
"weight": 0.5,
|
| 61 |
+
"type": "RandomHighlight",
|
| 62 |
+
"kwargs": {
|
| 63 |
+
"num_highlights": [
|
| 64 |
+
0,
|
| 65 |
+
1
|
| 66 |
+
],
|
| 67 |
+
"intensity": [
|
| 68 |
+
0.2,
|
| 69 |
+
0.5
|
| 70 |
+
],
|
| 71 |
+
"sigma": [
|
| 72 |
+
20.0,
|
| 73 |
+
60.0
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"gamma": {
|
| 78 |
+
"weight": 0.7,
|
| 79 |
+
"type": "RandomGamma",
|
| 80 |
+
"kwargs": {
|
| 81 |
+
"gamma": [
|
| 82 |
+
0.6,
|
| 83 |
+
1.4
|
| 84 |
+
]
|
| 85 |
+
}
|
| 86 |
+
},
|
| 87 |
+
"blur": {
|
| 88 |
+
"weight": 0.0,
|
| 89 |
+
"type": "GaussianBlur",
|
| 90 |
+
"kwargs": {
|
| 91 |
+
"kernel_size": [
|
| 92 |
+
3,
|
| 93 |
+
3
|
| 94 |
+
],
|
| 95 |
+
"sigma": [
|
| 96 |
+
0.1,
|
| 97 |
+
1.5
|
| 98 |
+
]
|
| 99 |
+
}
|
| 100 |
+
},
|
| 101 |
+
"jpeg": {
|
| 102 |
+
"weight": 0.0,
|
| 103 |
+
"type": "RandomJPEG",
|
| 104 |
+
"kwargs": {
|
| 105 |
+
"quality": [
|
| 106 |
+
60,
|
| 107 |
+
95
|
| 108 |
+
]
|
| 109 |
+
}
|
| 110 |
+
},
|
| 111 |
+
"crop": {
|
| 112 |
+
"weight": 0.5,
|
| 113 |
+
"type": "RandomCropPreserveSize",
|
| 114 |
+
"kwargs": {
|
| 115 |
+
"scale": [
|
| 116 |
+
0.97,
|
| 117 |
+
1.0
|
| 118 |
+
],
|
| 119 |
+
"ratio": [
|
| 120 |
+
0.99,
|
| 121 |
+
1.01
|
| 122 |
+
]
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"affine": {
|
| 126 |
+
"weight": 0.0,
|
| 127 |
+
"type": "RandomAffine",
|
| 128 |
+
"kwargs": {
|
| 129 |
+
"degrees": [
|
| 130 |
+
-5.0,
|
| 131 |
+
5.0
|
| 132 |
+
],
|
| 133 |
+
"translate": [
|
| 134 |
+
0.05,
|
| 135 |
+
0.05
|
| 136 |
+
]
|
| 137 |
+
}
|
| 138 |
+
},
|
| 139 |
+
"sharpness": {
|
| 140 |
+
"weight": 1.0,
|
| 141 |
+
"type": "SharpnessJitter",
|
| 142 |
+
"kwargs": {
|
| 143 |
+
"sharpness": [
|
| 144 |
+
0.5,
|
| 145 |
+
1.5
|
| 146 |
+
]
|
| 147 |
+
}
|
| 148 |
+
}
|
| 149 |
+
}
|
| 150 |
+
},
|
| 151 |
+
"revision": null,
|
| 152 |
+
"use_imagenet_stats": true,
|
| 153 |
+
"video_backend": "pyav",
|
| 154 |
+
"return_uint8": false,
|
| 155 |
+
"streaming": false
|
| 156 |
+
},
|
| 157 |
+
"env": null,
|
| 158 |
+
"policy": {
|
| 159 |
+
"type": "diffusion",
|
| 160 |
+
"n_obs_steps": 2,
|
| 161 |
+
"input_features": {
|
| 162 |
+
"observation.state": {
|
| 163 |
+
"type": "STATE",
|
| 164 |
+
"shape": [
|
| 165 |
+
6
|
| 166 |
+
]
|
| 167 |
+
},
|
| 168 |
+
"observation.images.front": {
|
| 169 |
+
"type": "VISUAL",
|
| 170 |
+
"shape": [
|
| 171 |
+
3,
|
| 172 |
+
480,
|
| 173 |
+
640
|
| 174 |
+
]
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
"output_features": {
|
| 178 |
+
"action": {
|
| 179 |
+
"type": "ACTION",
|
| 180 |
+
"shape": [
|
| 181 |
+
6
|
| 182 |
+
]
|
| 183 |
+
}
|
| 184 |
+
},
|
| 185 |
+
"device": "cuda",
|
| 186 |
+
"use_amp": false,
|
| 187 |
+
"use_peft": false,
|
| 188 |
+
"push_to_hub": false,
|
| 189 |
+
"repo_id": null,
|
| 190 |
+
"private": null,
|
| 191 |
+
"tags": null,
|
| 192 |
+
"license": null,
|
| 193 |
+
"pretrained_path": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_specialized_523_dataset_base_from_dino_780_new_config_11H47/checkpoints/010000/pretrained_model",
|
| 194 |
+
"horizon": 16,
|
| 195 |
+
"n_action_steps": 8,
|
| 196 |
+
"normalization_mapping": {
|
| 197 |
+
"VISUAL": "MEAN_STD",
|
| 198 |
+
"STATE": "MIN_MAX",
|
| 199 |
+
"ACTION": "MIN_MAX"
|
| 200 |
+
},
|
| 201 |
+
"drop_n_last_frames": 7,
|
| 202 |
+
"vision_backbone_type": "dinov2",
|
| 203 |
+
"vision_encoder_name": "facebook/dinov2-small",
|
| 204 |
+
"freeze_vision_encoder": true,
|
| 205 |
+
"vision_backbone": "resnet18",
|
| 206 |
+
"resize_shape": [
|
| 207 |
+
224,
|
| 208 |
+
224
|
| 209 |
+
],
|
| 210 |
+
"crop_ratio": 1.0,
|
| 211 |
+
"crop_shape": null,
|
| 212 |
+
"crop_is_random": true,
|
| 213 |
+
"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
|
| 214 |
+
"use_group_norm": false,
|
| 215 |
+
"spatial_softmax_num_keypoints": 32,
|
| 216 |
+
"vit_pool_type": "spatial_softmax",
|
| 217 |
+
"vit_feature_dim": 512,
|
| 218 |
+
"use_separate_rgb_encoder_per_camera": true,
|
| 219 |
+
"down_dims": [
|
| 220 |
+
512,
|
| 221 |
+
1024,
|
| 222 |
+
2048
|
| 223 |
+
],
|
| 224 |
+
"kernel_size": 5,
|
| 225 |
+
"n_groups": 8,
|
| 226 |
+
"diffusion_step_embed_dim": 128,
|
| 227 |
+
"use_film_scale_modulation": true,
|
| 228 |
+
"noise_scheduler_type": "DDPM",
|
| 229 |
+
"num_train_timesteps": 100,
|
| 230 |
+
"beta_schedule": "squaredcos_cap_v2",
|
| 231 |
+
"beta_start": 0.0001,
|
| 232 |
+
"beta_end": 0.02,
|
| 233 |
+
"prediction_type": "epsilon",
|
| 234 |
+
"clip_sample": true,
|
| 235 |
+
"clip_sample_range": 1.0,
|
| 236 |
+
"num_inference_steps": 100,
|
| 237 |
+
"compile_model": false,
|
| 238 |
+
"compile_mode": "reduce-overhead",
|
| 239 |
+
"do_mask_loss_for_padding": false,
|
| 240 |
+
"optimizer_lr": 5e-05,
|
| 241 |
+
"optimizer_betas": [
|
| 242 |
+
0.95,
|
| 243 |
+
0.999
|
| 244 |
+
],
|
| 245 |
+
"optimizer_eps": 1e-08,
|
| 246 |
+
"optimizer_weight_decay": 1e-06,
|
| 247 |
+
"scheduler_name": "cosine",
|
| 248 |
+
"scheduler_warmup_steps": 100
|
| 249 |
+
},
|
| 250 |
+
"reward_model": null,
|
| 251 |
+
"output_dir": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_dagger_iter1_25000steps_20260520_173844",
|
| 252 |
+
"job_name": "diffusion_dagger_iter1_25000steps_20260520_173844",
|
| 253 |
+
"resume": false,
|
| 254 |
+
"seed": 1000,
|
| 255 |
+
"cudnn_deterministic": false,
|
| 256 |
+
"num_workers": 16,
|
| 257 |
+
"batch_size": 64,
|
| 258 |
+
"prefetch_factor": 4,
|
| 259 |
+
"persistent_workers": true,
|
| 260 |
+
"steps": 25000,
|
| 261 |
+
"eval_freq": 0,
|
| 262 |
+
"log_freq": 20,
|
| 263 |
+
"tolerance_s": 0.0001,
|
| 264 |
+
"save_checkpoint": true,
|
| 265 |
+
"save_freq": 2000,
|
| 266 |
+
"use_policy_training_preset": true,
|
| 267 |
+
"optimizer": {
|
| 268 |
+
"type": "adam",
|
| 269 |
+
"lr": 5e-05,
|
| 270 |
+
"weight_decay": 1e-06,
|
| 271 |
+
"grad_clip_norm": 10.0,
|
| 272 |
+
"betas": [
|
| 273 |
+
0.95,
|
| 274 |
+
0.999
|
| 275 |
+
],
|
| 276 |
+
"eps": 1e-08
|
| 277 |
+
},
|
| 278 |
+
"scheduler": {
|
| 279 |
+
"type": "diffuser",
|
| 280 |
+
"num_warmup_steps": 100,
|
| 281 |
+
"name": "cosine"
|
| 282 |
+
},
|
| 283 |
+
"eval": {
|
| 284 |
+
"n_episodes": 50,
|
| 285 |
+
"batch_size": 19,
|
| 286 |
+
"use_async_envs": true
|
| 287 |
+
},
|
| 288 |
+
"wandb": {
|
| 289 |
+
"enable": true,
|
| 290 |
+
"disable_artifact": false,
|
| 291 |
+
"project": "lerobot",
|
| 292 |
+
"entity": null,
|
| 293 |
+
"notes": null,
|
| 294 |
+
"run_id": "ql0pvhal",
|
| 295 |
+
"mode": null,
|
| 296 |
+
"add_tags": true
|
| 297 |
+
},
|
| 298 |
+
"peft": null,
|
| 299 |
+
"sample_weighting": null,
|
| 300 |
+
"rename_map": {},
|
| 301 |
+
"checkpoint_path": null
|
| 302 |
+
}
|
checkpoints/dagger/1iter/checkpoints/006000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,396 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"lr": 4.3387474942691054e-05,
|
| 4 |
+
"betas": [
|
| 5 |
+
0.95,
|
| 6 |
+
0.999
|
| 7 |
+
],
|
| 8 |
+
"eps": 1e-08,
|
| 9 |
+
"weight_decay": 1e-06,
|
| 10 |
+
"amsgrad": false,
|
| 11 |
+
"maximize": false,
|
| 12 |
+
"foreach": null,
|
| 13 |
+
"capturable": false,
|
| 14 |
+
"differentiable": false,
|
| 15 |
+
"fused": null,
|
| 16 |
+
"decoupled_weight_decay": false,
|
| 17 |
+
"initial_lr": 5e-05,
|
| 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 |
+
]
|
| 395 |
+
}
|
| 396 |
+
]
|
checkpoints/dagger/1iter/checkpoints/006000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:263b06c130720afdf95deb14ccf8c665f544e4d2d541574ca338156a2c62f4c1
|
| 3 |
+
size 2014217744
|
checkpoints/dagger/1iter/checkpoints/006000/training_state/rng_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf904200a565e900157cf4b1e431b69bc25061753757169a048da915c8346813
|
| 3 |
+
size 15708
|
checkpoints/dagger/1iter/checkpoints/006000/training_state/scheduler_state.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_lrs": [
|
| 3 |
+
5e-05
|
| 4 |
+
],
|
| 5 |
+
"last_epoch": 6000,
|
| 6 |
+
"_step_count": 6001,
|
| 7 |
+
"_is_initial": false,
|
| 8 |
+
"_get_lr_called_within_step": false,
|
| 9 |
+
"_last_lr": [
|
| 10 |
+
4.3387474942691054e-05
|
| 11 |
+
],
|
| 12 |
+
"lr_lambdas": [
|
| 13 |
+
null
|
| 14 |
+
]
|
| 15 |
+
}
|
checkpoints/dagger/1iter/checkpoints/006000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 6000
|
| 3 |
+
}
|
checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/config.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "diffusion",
|
| 3 |
+
"n_obs_steps": 2,
|
| 4 |
+
"input_features": {
|
| 5 |
+
"observation.state": {
|
| 6 |
+
"type": "STATE",
|
| 7 |
+
"shape": [
|
| 8 |
+
6
|
| 9 |
+
]
|
| 10 |
+
},
|
| 11 |
+
"observation.images.front": {
|
| 12 |
+
"type": "VISUAL",
|
| 13 |
+
"shape": [
|
| 14 |
+
3,
|
| 15 |
+
480,
|
| 16 |
+
640
|
| 17 |
+
]
|
| 18 |
+
}
|
| 19 |
+
},
|
| 20 |
+
"output_features": {
|
| 21 |
+
"action": {
|
| 22 |
+
"type": "ACTION",
|
| 23 |
+
"shape": [
|
| 24 |
+
6
|
| 25 |
+
]
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"device": "cuda",
|
| 29 |
+
"use_amp": false,
|
| 30 |
+
"use_peft": false,
|
| 31 |
+
"push_to_hub": false,
|
| 32 |
+
"repo_id": null,
|
| 33 |
+
"private": null,
|
| 34 |
+
"tags": null,
|
| 35 |
+
"license": null,
|
| 36 |
+
"pretrained_path": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_specialized_523_dataset_base_from_dino_780_new_config_11H47/checkpoints/010000/pretrained_model",
|
| 37 |
+
"horizon": 16,
|
| 38 |
+
"n_action_steps": 8,
|
| 39 |
+
"normalization_mapping": {
|
| 40 |
+
"VISUAL": "MEAN_STD",
|
| 41 |
+
"STATE": "MIN_MAX",
|
| 42 |
+
"ACTION": "MIN_MAX"
|
| 43 |
+
},
|
| 44 |
+
"drop_n_last_frames": 7,
|
| 45 |
+
"vision_backbone_type": "dinov2",
|
| 46 |
+
"vision_encoder_name": "facebook/dinov2-small",
|
| 47 |
+
"freeze_vision_encoder": true,
|
| 48 |
+
"vision_backbone": "resnet18",
|
| 49 |
+
"resize_shape": [
|
| 50 |
+
224,
|
| 51 |
+
224
|
| 52 |
+
],
|
| 53 |
+
"crop_ratio": 1.0,
|
| 54 |
+
"crop_shape": null,
|
| 55 |
+
"crop_is_random": true,
|
| 56 |
+
"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
|
| 57 |
+
"use_group_norm": false,
|
| 58 |
+
"spatial_softmax_num_keypoints": 32,
|
| 59 |
+
"vit_pool_type": "spatial_softmax",
|
| 60 |
+
"vit_feature_dim": 512,
|
| 61 |
+
"use_separate_rgb_encoder_per_camera": true,
|
| 62 |
+
"down_dims": [
|
| 63 |
+
512,
|
| 64 |
+
1024,
|
| 65 |
+
2048
|
| 66 |
+
],
|
| 67 |
+
"kernel_size": 5,
|
| 68 |
+
"n_groups": 8,
|
| 69 |
+
"diffusion_step_embed_dim": 128,
|
| 70 |
+
"use_film_scale_modulation": true,
|
| 71 |
+
"noise_scheduler_type": "DDPM",
|
| 72 |
+
"num_train_timesteps": 100,
|
| 73 |
+
"beta_schedule": "squaredcos_cap_v2",
|
| 74 |
+
"beta_start": 0.0001,
|
| 75 |
+
"beta_end": 0.02,
|
| 76 |
+
"prediction_type": "epsilon",
|
| 77 |
+
"clip_sample": true,
|
| 78 |
+
"clip_sample_range": 1.0,
|
| 79 |
+
"num_inference_steps": 100,
|
| 80 |
+
"compile_model": false,
|
| 81 |
+
"compile_mode": "reduce-overhead",
|
| 82 |
+
"do_mask_loss_for_padding": false,
|
| 83 |
+
"optimizer_lr": 5e-05,
|
| 84 |
+
"optimizer_betas": [
|
| 85 |
+
0.95,
|
| 86 |
+
0.999
|
| 87 |
+
],
|
| 88 |
+
"optimizer_eps": 1e-08,
|
| 89 |
+
"optimizer_weight_decay": 1e-06,
|
| 90 |
+
"scheduler_name": "cosine",
|
| 91 |
+
"scheduler_warmup_steps": 100
|
| 92 |
+
}
|
checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4074302ca06d9a0f1ac46cc1ee82d7914042fb1af55b23f9d5bb4a2cabf6dcfe
|
| 3 |
+
size 1095367712
|
checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/policy_postprocessor.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "policy_postprocessor",
|
| 3 |
+
"steps": [
|
| 4 |
+
{
|
| 5 |
+
"registry_name": "unnormalizer_processor",
|
| 6 |
+
"config": {
|
| 7 |
+
"eps": 1e-08,
|
| 8 |
+
"features": {
|
| 9 |
+
"action": {
|
| 10 |
+
"type": "ACTION",
|
| 11 |
+
"shape": [
|
| 12 |
+
6
|
| 13 |
+
]
|
| 14 |
+
}
|
| 15 |
+
},
|
| 16 |
+
"norm_map": {
|
| 17 |
+
"VISUAL": "MEAN_STD",
|
| 18 |
+
"STATE": "MIN_MAX",
|
| 19 |
+
"ACTION": "MIN_MAX"
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
"state_file": "policy_postprocessor_step_0_unnormalizer_processor.safetensors"
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"registry_name": "device_processor",
|
| 26 |
+
"config": {
|
| 27 |
+
"device": "cpu",
|
| 28 |
+
"float_dtype": null
|
| 29 |
+
}
|
| 30 |
+
}
|
| 31 |
+
]
|
| 32 |
+
}
|
checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2cffd05b8fcb092f386f0047017f12099a576aa260612cfb4a12f36d9746bfa
|
| 3 |
+
size 6560
|
checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/policy_preprocessor.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "device_processor",
|
| 16 |
+
"config": {
|
| 17 |
+
"device": "cuda",
|
| 18 |
+
"float_dtype": null
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"registry_name": "normalizer_processor",
|
| 23 |
+
"config": {
|
| 24 |
+
"eps": 1e-08,
|
| 25 |
+
"features": {
|
| 26 |
+
"observation.state": {
|
| 27 |
+
"type": "STATE",
|
| 28 |
+
"shape": [
|
| 29 |
+
6
|
| 30 |
+
]
|
| 31 |
+
},
|
| 32 |
+
"observation.images.front": {
|
| 33 |
+
"type": "VISUAL",
|
| 34 |
+
"shape": [
|
| 35 |
+
3,
|
| 36 |
+
480,
|
| 37 |
+
640
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"action": {
|
| 41 |
+
"type": "ACTION",
|
| 42 |
+
"shape": [
|
| 43 |
+
6
|
| 44 |
+
]
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"norm_map": {
|
| 48 |
+
"VISUAL": "MEAN_STD",
|
| 49 |
+
"STATE": "MIN_MAX",
|
| 50 |
+
"ACTION": "MIN_MAX"
|
| 51 |
+
}
|
| 52 |
+
},
|
| 53 |
+
"state_file": "policy_preprocessor_step_3_normalizer_processor.safetensors"
|
| 54 |
+
}
|
| 55 |
+
]
|
| 56 |
+
}
|
checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/policy_preprocessor_step_3_normalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2cffd05b8fcb092f386f0047017f12099a576aa260612cfb4a12f36d9746bfa
|
| 3 |
+
size 6560
|
checkpoints/dagger/1iter/checkpoints/008000/pretrained_model/train_config.json
ADDED
|
@@ -0,0 +1,302 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset": {
|
| 3 |
+
"repo_id": "local/dagger_episodes",
|
| 4 |
+
"root": "/home/shadeform/Desktop/robot_learning/base_new_dataset_dagger_628",
|
| 5 |
+
"episodes": null,
|
| 6 |
+
"image_transforms": {
|
| 7 |
+
"enable": false,
|
| 8 |
+
"max_num_transforms": 3,
|
| 9 |
+
"random_order": false,
|
| 10 |
+
"same_cloth_color": false,
|
| 11 |
+
"tfs": {
|
| 12 |
+
"color_jitter": {
|
| 13 |
+
"weight": 1.5,
|
| 14 |
+
"type": "ColorJitter",
|
| 15 |
+
"kwargs": {
|
| 16 |
+
"brightness": [
|
| 17 |
+
0.7,
|
| 18 |
+
1.3
|
| 19 |
+
],
|
| 20 |
+
"contrast": [
|
| 21 |
+
0.7,
|
| 22 |
+
1.3
|
| 23 |
+
],
|
| 24 |
+
"saturation": [
|
| 25 |
+
0.4,
|
| 26 |
+
1.6
|
| 27 |
+
],
|
| 28 |
+
"hue": [
|
| 29 |
+
-0.5,
|
| 30 |
+
0.5
|
| 31 |
+
]
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"grayscale": {
|
| 35 |
+
"weight": 0.5,
|
| 36 |
+
"type": "RandomGrayscale",
|
| 37 |
+
"kwargs": {
|
| 38 |
+
"p": 1.0
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"shadow": {
|
| 42 |
+
"weight": 0.8,
|
| 43 |
+
"type": "RandomShadow",
|
| 44 |
+
"kwargs": {
|
| 45 |
+
"num_shadows": [
|
| 46 |
+
1,
|
| 47 |
+
2
|
| 48 |
+
],
|
| 49 |
+
"intensity": [
|
| 50 |
+
0.4,
|
| 51 |
+
0.7
|
| 52 |
+
],
|
| 53 |
+
"blur_sigma": [
|
| 54 |
+
4.0,
|
| 55 |
+
20.0
|
| 56 |
+
]
|
| 57 |
+
}
|
| 58 |
+
},
|
| 59 |
+
"highlight": {
|
| 60 |
+
"weight": 0.5,
|
| 61 |
+
"type": "RandomHighlight",
|
| 62 |
+
"kwargs": {
|
| 63 |
+
"num_highlights": [
|
| 64 |
+
0,
|
| 65 |
+
1
|
| 66 |
+
],
|
| 67 |
+
"intensity": [
|
| 68 |
+
0.2,
|
| 69 |
+
0.5
|
| 70 |
+
],
|
| 71 |
+
"sigma": [
|
| 72 |
+
20.0,
|
| 73 |
+
60.0
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"gamma": {
|
| 78 |
+
"weight": 0.7,
|
| 79 |
+
"type": "RandomGamma",
|
| 80 |
+
"kwargs": {
|
| 81 |
+
"gamma": [
|
| 82 |
+
0.6,
|
| 83 |
+
1.4
|
| 84 |
+
]
|
| 85 |
+
}
|
| 86 |
+
},
|
| 87 |
+
"blur": {
|
| 88 |
+
"weight": 0.0,
|
| 89 |
+
"type": "GaussianBlur",
|
| 90 |
+
"kwargs": {
|
| 91 |
+
"kernel_size": [
|
| 92 |
+
3,
|
| 93 |
+
3
|
| 94 |
+
],
|
| 95 |
+
"sigma": [
|
| 96 |
+
0.1,
|
| 97 |
+
1.5
|
| 98 |
+
]
|
| 99 |
+
}
|
| 100 |
+
},
|
| 101 |
+
"jpeg": {
|
| 102 |
+
"weight": 0.0,
|
| 103 |
+
"type": "RandomJPEG",
|
| 104 |
+
"kwargs": {
|
| 105 |
+
"quality": [
|
| 106 |
+
60,
|
| 107 |
+
95
|
| 108 |
+
]
|
| 109 |
+
}
|
| 110 |
+
},
|
| 111 |
+
"crop": {
|
| 112 |
+
"weight": 0.5,
|
| 113 |
+
"type": "RandomCropPreserveSize",
|
| 114 |
+
"kwargs": {
|
| 115 |
+
"scale": [
|
| 116 |
+
0.97,
|
| 117 |
+
1.0
|
| 118 |
+
],
|
| 119 |
+
"ratio": [
|
| 120 |
+
0.99,
|
| 121 |
+
1.01
|
| 122 |
+
]
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"affine": {
|
| 126 |
+
"weight": 0.0,
|
| 127 |
+
"type": "RandomAffine",
|
| 128 |
+
"kwargs": {
|
| 129 |
+
"degrees": [
|
| 130 |
+
-5.0,
|
| 131 |
+
5.0
|
| 132 |
+
],
|
| 133 |
+
"translate": [
|
| 134 |
+
0.05,
|
| 135 |
+
0.05
|
| 136 |
+
]
|
| 137 |
+
}
|
| 138 |
+
},
|
| 139 |
+
"sharpness": {
|
| 140 |
+
"weight": 1.0,
|
| 141 |
+
"type": "SharpnessJitter",
|
| 142 |
+
"kwargs": {
|
| 143 |
+
"sharpness": [
|
| 144 |
+
0.5,
|
| 145 |
+
1.5
|
| 146 |
+
]
|
| 147 |
+
}
|
| 148 |
+
}
|
| 149 |
+
}
|
| 150 |
+
},
|
| 151 |
+
"revision": null,
|
| 152 |
+
"use_imagenet_stats": true,
|
| 153 |
+
"video_backend": "pyav",
|
| 154 |
+
"return_uint8": false,
|
| 155 |
+
"streaming": false
|
| 156 |
+
},
|
| 157 |
+
"env": null,
|
| 158 |
+
"policy": {
|
| 159 |
+
"type": "diffusion",
|
| 160 |
+
"n_obs_steps": 2,
|
| 161 |
+
"input_features": {
|
| 162 |
+
"observation.state": {
|
| 163 |
+
"type": "STATE",
|
| 164 |
+
"shape": [
|
| 165 |
+
6
|
| 166 |
+
]
|
| 167 |
+
},
|
| 168 |
+
"observation.images.front": {
|
| 169 |
+
"type": "VISUAL",
|
| 170 |
+
"shape": [
|
| 171 |
+
3,
|
| 172 |
+
480,
|
| 173 |
+
640
|
| 174 |
+
]
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
"output_features": {
|
| 178 |
+
"action": {
|
| 179 |
+
"type": "ACTION",
|
| 180 |
+
"shape": [
|
| 181 |
+
6
|
| 182 |
+
]
|
| 183 |
+
}
|
| 184 |
+
},
|
| 185 |
+
"device": "cuda",
|
| 186 |
+
"use_amp": false,
|
| 187 |
+
"use_peft": false,
|
| 188 |
+
"push_to_hub": false,
|
| 189 |
+
"repo_id": null,
|
| 190 |
+
"private": null,
|
| 191 |
+
"tags": null,
|
| 192 |
+
"license": null,
|
| 193 |
+
"pretrained_path": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_specialized_523_dataset_base_from_dino_780_new_config_11H47/checkpoints/010000/pretrained_model",
|
| 194 |
+
"horizon": 16,
|
| 195 |
+
"n_action_steps": 8,
|
| 196 |
+
"normalization_mapping": {
|
| 197 |
+
"VISUAL": "MEAN_STD",
|
| 198 |
+
"STATE": "MIN_MAX",
|
| 199 |
+
"ACTION": "MIN_MAX"
|
| 200 |
+
},
|
| 201 |
+
"drop_n_last_frames": 7,
|
| 202 |
+
"vision_backbone_type": "dinov2",
|
| 203 |
+
"vision_encoder_name": "facebook/dinov2-small",
|
| 204 |
+
"freeze_vision_encoder": true,
|
| 205 |
+
"vision_backbone": "resnet18",
|
| 206 |
+
"resize_shape": [
|
| 207 |
+
224,
|
| 208 |
+
224
|
| 209 |
+
],
|
| 210 |
+
"crop_ratio": 1.0,
|
| 211 |
+
"crop_shape": null,
|
| 212 |
+
"crop_is_random": true,
|
| 213 |
+
"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
|
| 214 |
+
"use_group_norm": false,
|
| 215 |
+
"spatial_softmax_num_keypoints": 32,
|
| 216 |
+
"vit_pool_type": "spatial_softmax",
|
| 217 |
+
"vit_feature_dim": 512,
|
| 218 |
+
"use_separate_rgb_encoder_per_camera": true,
|
| 219 |
+
"down_dims": [
|
| 220 |
+
512,
|
| 221 |
+
1024,
|
| 222 |
+
2048
|
| 223 |
+
],
|
| 224 |
+
"kernel_size": 5,
|
| 225 |
+
"n_groups": 8,
|
| 226 |
+
"diffusion_step_embed_dim": 128,
|
| 227 |
+
"use_film_scale_modulation": true,
|
| 228 |
+
"noise_scheduler_type": "DDPM",
|
| 229 |
+
"num_train_timesteps": 100,
|
| 230 |
+
"beta_schedule": "squaredcos_cap_v2",
|
| 231 |
+
"beta_start": 0.0001,
|
| 232 |
+
"beta_end": 0.02,
|
| 233 |
+
"prediction_type": "epsilon",
|
| 234 |
+
"clip_sample": true,
|
| 235 |
+
"clip_sample_range": 1.0,
|
| 236 |
+
"num_inference_steps": 100,
|
| 237 |
+
"compile_model": false,
|
| 238 |
+
"compile_mode": "reduce-overhead",
|
| 239 |
+
"do_mask_loss_for_padding": false,
|
| 240 |
+
"optimizer_lr": 5e-05,
|
| 241 |
+
"optimizer_betas": [
|
| 242 |
+
0.95,
|
| 243 |
+
0.999
|
| 244 |
+
],
|
| 245 |
+
"optimizer_eps": 1e-08,
|
| 246 |
+
"optimizer_weight_decay": 1e-06,
|
| 247 |
+
"scheduler_name": "cosine",
|
| 248 |
+
"scheduler_warmup_steps": 100
|
| 249 |
+
},
|
| 250 |
+
"reward_model": null,
|
| 251 |
+
"output_dir": "/home/shadeform/Desktop/robot_learning/outputs/train/diffusion_dagger_iter1_25000steps_20260520_173844",
|
| 252 |
+
"job_name": "diffusion_dagger_iter1_25000steps_20260520_173844",
|
| 253 |
+
"resume": false,
|
| 254 |
+
"seed": 1000,
|
| 255 |
+
"cudnn_deterministic": false,
|
| 256 |
+
"num_workers": 16,
|
| 257 |
+
"batch_size": 64,
|
| 258 |
+
"prefetch_factor": 4,
|
| 259 |
+
"persistent_workers": true,
|
| 260 |
+
"steps": 25000,
|
| 261 |
+
"eval_freq": 0,
|
| 262 |
+
"log_freq": 20,
|
| 263 |
+
"tolerance_s": 0.0001,
|
| 264 |
+
"save_checkpoint": true,
|
| 265 |
+
"save_freq": 2000,
|
| 266 |
+
"use_policy_training_preset": true,
|
| 267 |
+
"optimizer": {
|
| 268 |
+
"type": "adam",
|
| 269 |
+
"lr": 5e-05,
|
| 270 |
+
"weight_decay": 1e-06,
|
| 271 |
+
"grad_clip_norm": 10.0,
|
| 272 |
+
"betas": [
|
| 273 |
+
0.95,
|
| 274 |
+
0.999
|
| 275 |
+
],
|
| 276 |
+
"eps": 1e-08
|
| 277 |
+
},
|
| 278 |
+
"scheduler": {
|
| 279 |
+
"type": "diffuser",
|
| 280 |
+
"num_warmup_steps": 100,
|
| 281 |
+
"name": "cosine"
|
| 282 |
+
},
|
| 283 |
+
"eval": {
|
| 284 |
+
"n_episodes": 50,
|
| 285 |
+
"batch_size": 19,
|
| 286 |
+
"use_async_envs": true
|
| 287 |
+
},
|
| 288 |
+
"wandb": {
|
| 289 |
+
"enable": true,
|
| 290 |
+
"disable_artifact": false,
|
| 291 |
+
"project": "lerobot",
|
| 292 |
+
"entity": null,
|
| 293 |
+
"notes": null,
|
| 294 |
+
"run_id": "ql0pvhal",
|
| 295 |
+
"mode": null,
|
| 296 |
+
"add_tags": true
|
| 297 |
+
},
|
| 298 |
+
"peft": null,
|
| 299 |
+
"sample_weighting": null,
|
| 300 |
+
"rename_map": {},
|
| 301 |
+
"checkpoint_path": null
|
| 302 |
+
}
|
checkpoints/dagger/1iter/checkpoints/008000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,396 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"lr": 3.857627137523031e-05,
|
| 4 |
+
"betas": [
|
| 5 |
+
0.95,
|
| 6 |
+
0.999
|
| 7 |
+
],
|
| 8 |
+
"eps": 1e-08,
|
| 9 |
+
"weight_decay": 1e-06,
|
| 10 |
+
"amsgrad": false,
|
| 11 |
+
"maximize": false,
|
| 12 |
+
"foreach": null,
|
| 13 |
+
"capturable": false,
|
| 14 |
+
"differentiable": false,
|
| 15 |
+
"fused": null,
|
| 16 |
+
"decoupled_weight_decay": false,
|
| 17 |
+
"initial_lr": 5e-05,
|
| 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 |
+
]
|
| 395 |
+
}
|
| 396 |
+
]
|
checkpoints/dagger/1iter/checkpoints/008000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b207d1a5f2030175566ade07fd9e74ac7adae8592a649d3b8ad5d282065c1e4
|
| 3 |
+
size 2014217744
|
checkpoints/dagger/1iter/checkpoints/008000/training_state/rng_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0266cd46ee8ab5bb7513db566218fd76e8e08f15e819837b55916a7c8363792a
|
| 3 |
+
size 15708
|
checkpoints/dagger/1iter/checkpoints/008000/training_state/scheduler_state.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_lrs": [
|
| 3 |
+
5e-05
|
| 4 |
+
],
|
| 5 |
+
"last_epoch": 8000,
|
| 6 |
+
"_step_count": 8001,
|
| 7 |
+
"_is_initial": false,
|
| 8 |
+
"_get_lr_called_within_step": false,
|
| 9 |
+
"_last_lr": [
|
| 10 |
+
3.857627137523031e-05
|
| 11 |
+
],
|
| 12 |
+
"lr_lambdas": [
|
| 13 |
+
null
|
| 14 |
+
]
|
| 15 |
+
}
|
checkpoints/dagger/1iter/checkpoints/008000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 8000
|
| 3 |
+
}
|
checkpoints/dagger/1iter/wandb/debug-internal.log
CHANGED
|
@@ -51,3 +51,95 @@
|
|
| 51 |
{"time":"2026-05-20T17:44:09.965260526Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 52 |
{"time":"2026-05-20T17:44:24.716640948Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":146,"history_lines":8,"events_offset":41,"events_lines":2,"console_offset":164,"console_lines":9}
|
| 53 |
{"time":"2026-05-20T17:44:24.979011599Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
{"time":"2026-05-20T17:44:09.965260526Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 52 |
{"time":"2026-05-20T17:44:24.716640948Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":146,"history_lines":8,"events_offset":41,"events_lines":2,"console_offset":164,"console_lines":9}
|
| 53 |
{"time":"2026-05-20T17:44:24.979011599Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 54 |
+
{"time":"2026-05-20T17:44:39.716902318Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":154,"history_lines":7,"events_offset":43,"events_lines":2,"console_offset":172,"console_lines":8}
|
| 55 |
+
{"time":"2026-05-20T17:44:39.909622262Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 56 |
+
{"time":"2026-05-20T17:44:54.717240922Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":161,"history_lines":8,"events_offset":45,"events_lines":2,"console_offset":179,"console_lines":9}
|
| 57 |
+
{"time":"2026-05-20T17:44:54.929108982Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 58 |
+
{"time":"2026-05-20T17:45:09.716898556Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":169,"history_lines":7,"events_offset":47,"events_lines":2,"console_offset":187,"console_lines":8}
|
| 59 |
+
{"time":"2026-05-20T17:45:09.892526053Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 60 |
+
{"time":"2026-05-20T17:45:24.717493785Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":176,"history_lines":8,"events_offset":49,"events_lines":2,"console_offset":194,"console_lines":9}
|
| 61 |
+
{"time":"2026-05-20T17:45:25.045546993Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 62 |
+
{"time":"2026-05-20T17:45:39.717812594Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":184,"history_lines":7,"events_offset":51,"events_lines":2,"console_offset":202,"console_lines":8}
|
| 63 |
+
{"time":"2026-05-20T17:45:39.9478038Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 64 |
+
{"time":"2026-05-20T17:45:54.717218777Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":191,"history_lines":8,"events_offset":53,"events_lines":2,"console_offset":209,"console_lines":9}
|
| 65 |
+
{"time":"2026-05-20T17:45:54.976171064Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 66 |
+
{"time":"2026-05-20T17:46:09.717263096Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":199,"history_lines":4,"events_offset":55,"events_lines":2,"console_offset":218,"console_lines":5}
|
| 67 |
+
{"time":"2026-05-20T17:46:09.951773481Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 68 |
+
{"time":"2026-05-20T17:46:24.716631016Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":203,"history_lines":5,"events_offset":57,"events_lines":2,"console_offset":222,"console_lines":6}
|
| 69 |
+
{"time":"2026-05-20T17:46:24.933563024Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 70 |
+
{"time":"2026-05-20T17:46:39.716692275Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":208,"history_lines":8,"events_offset":59,"events_lines":2,"console_offset":227,"console_lines":8}
|
| 71 |
+
{"time":"2026-05-20T17:46:40.076314166Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 72 |
+
{"time":"2026-05-20T17:46:54.71695758Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":216,"history_lines":7,"events_offset":61,"events_lines":2,"console_offset":235,"console_lines":8}
|
| 73 |
+
{"time":"2026-05-20T17:46:54.932449942Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 74 |
+
{"time":"2026-05-20T17:47:09.71673532Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":223,"history_lines":8,"events_offset":63,"events_lines":2,"console_offset":242,"console_lines":9}
|
| 75 |
+
{"time":"2026-05-20T17:47:10.823979834Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 76 |
+
{"time":"2026-05-20T17:47:24.716932468Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":231,"history_lines":7,"events_offset":65,"events_lines":2,"console_offset":250,"console_lines":8}
|
| 77 |
+
{"time":"2026-05-20T17:47:29.72030432Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 78 |
+
{"time":"2026-05-20T17:47:39.716556404Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":238,"history_lines":8,"events_offset":67,"events_lines":2,"console_offset":257,"console_lines":9}
|
| 79 |
+
{"time":"2026-05-20T17:47:39.914381725Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 80 |
+
{"time":"2026-05-20T17:47:54.717303908Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":246,"history_lines":7,"events_offset":69,"events_lines":2,"console_offset":265,"console_lines":8}
|
| 81 |
+
{"time":"2026-05-20T17:47:55.016971518Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 82 |
+
{"time":"2026-05-20T17:48:09.717090386Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":253,"history_lines":7,"events_offset":71,"events_lines":2,"console_offset":272,"console_lines":8}
|
| 83 |
+
{"time":"2026-05-20T17:48:09.903758783Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 84 |
+
{"time":"2026-05-20T17:48:24.717528425Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":260,"history_lines":8,"events_offset":73,"events_lines":2,"console_offset":279,"console_lines":9}
|
| 85 |
+
{"time":"2026-05-20T17:48:24.978398686Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 86 |
+
{"time":"2026-05-20T17:48:39.716790044Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":268,"history_lines":7,"events_offset":75,"events_lines":2,"console_offset":287,"console_lines":8}
|
| 87 |
+
{"time":"2026-05-20T17:48:40.203834155Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 88 |
+
{"time":"2026-05-20T17:48:54.717455225Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":275,"history_lines":8,"events_offset":77,"events_lines":2,"console_offset":294,"console_lines":9}
|
| 89 |
+
{"time":"2026-05-20T17:48:54.87058942Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 90 |
+
{"time":"2026-05-20T17:49:09.716820972Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":283,"history_lines":7,"events_offset":79,"events_lines":2,"console_offset":302,"console_lines":8}
|
| 91 |
+
{"time":"2026-05-20T17:49:09.892665794Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 92 |
+
{"time":"2026-05-20T17:49:24.71648878Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":290,"history_lines":8,"events_offset":81,"events_lines":2,"console_offset":309,"console_lines":8}
|
| 93 |
+
{"time":"2026-05-20T17:49:24.905323184Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 94 |
+
{"time":"2026-05-20T17:49:39.716682373Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":298,"history_lines":3,"events_offset":83,"events_lines":2,"console_offset":317,"console_lines":5}
|
| 95 |
+
{"time":"2026-05-20T17:49:39.868392876Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 96 |
+
{"time":"2026-05-20T17:49:54.718695257Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":301,"history_lines":8,"events_offset":85,"events_lines":2,"console_offset":321,"console_lines":9}
|
| 97 |
+
{"time":"2026-05-20T17:49:54.876219687Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 98 |
+
{"time":"2026-05-20T17:50:09.71653883Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":309,"history_lines":7,"events_offset":87,"events_lines":2,"console_offset":329,"console_lines":8}
|
| 99 |
+
{"time":"2026-05-20T17:50:09.881447268Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 100 |
+
{"time":"2026-05-20T17:50:24.716453579Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":316,"history_lines":8,"events_offset":89,"events_lines":2,"console_offset":336,"console_lines":8}
|
| 101 |
+
{"time":"2026-05-20T17:50:25.031077018Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 102 |
+
{"time":"2026-05-20T17:50:39.717010688Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":324,"history_lines":7,"events_offset":91,"events_lines":2,"console_offset":344,"console_lines":8}
|
| 103 |
+
{"time":"2026-05-20T17:50:40.021922005Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 104 |
+
{"time":"2026-05-20T17:50:54.717150752Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":331,"history_lines":7,"events_offset":93,"events_lines":2,"console_offset":351,"console_lines":8}
|
| 105 |
+
{"time":"2026-05-20T17:50:54.938496888Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 106 |
+
{"time":"2026-05-20T17:51:09.716759709Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":338,"history_lines":8,"events_offset":95,"events_lines":2,"console_offset":358,"console_lines":9}
|
| 107 |
+
{"time":"2026-05-20T17:51:09.913481679Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 108 |
+
{"time":"2026-05-20T17:51:24.716685555Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":346,"history_lines":7,"events_offset":97,"events_lines":2,"console_offset":366,"console_lines":8}
|
| 109 |
+
{"time":"2026-05-20T17:51:24.881929338Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 110 |
+
{"time":"2026-05-20T17:51:39.7172333Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":353,"history_lines":8,"events_offset":99,"events_lines":2,"console_offset":373,"console_lines":9}
|
| 111 |
+
{"time":"2026-05-20T17:51:39.863938883Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 112 |
+
{"time":"2026-05-20T17:51:54.717179603Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":361,"history_lines":7,"events_offset":101,"events_lines":2,"console_offset":381,"console_lines":8}
|
| 113 |
+
{"time":"2026-05-20T17:51:55.047901711Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 114 |
+
{"time":"2026-05-20T17:52:09.716522063Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":368,"history_lines":8,"events_offset":103,"events_lines":2,"console_offset":388,"console_lines":9}
|
| 115 |
+
{"time":"2026-05-20T17:52:09.854234775Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 116 |
+
{"time":"2026-05-20T17:52:24.716835787Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":376,"history_lines":7,"events_offset":105,"events_lines":2,"console_offset":396,"console_lines":8}
|
| 117 |
+
{"time":"2026-05-20T17:52:24.8775274Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 118 |
+
{"time":"2026-05-20T17:52:39.716762484Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":383,"history_lines":7,"events_offset":107,"events_lines":2,"console_offset":403,"console_lines":8}
|
| 119 |
+
{"time":"2026-05-20T17:52:39.869845259Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 120 |
+
{"time":"2026-05-20T17:52:54.716781766Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":390,"history_lines":8,"events_offset":109,"events_lines":2,"console_offset":410,"console_lines":9}
|
| 121 |
+
{"time":"2026-05-20T17:52:54.840406745Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 122 |
+
{"time":"2026-05-20T17:53:09.717033592Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":398,"history_lines":3,"events_offset":111,"events_lines":2,"console_offset":418,"console_lines":5}
|
| 123 |
+
{"time":"2026-05-20T17:53:09.873479597Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 124 |
+
{"time":"2026-05-20T17:53:24.716716446Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":401,"history_lines":8,"events_offset":113,"events_lines":2,"console_offset":422,"console_lines":9}
|
| 125 |
+
{"time":"2026-05-20T17:53:24.87427225Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 126 |
+
{"time":"2026-05-20T17:53:39.717053507Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":409,"history_lines":7,"events_offset":115,"events_lines":2,"console_offset":430,"console_lines":8}
|
| 127 |
+
{"time":"2026-05-20T17:53:39.880658983Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 128 |
+
{"time":"2026-05-20T17:53:54.717054955Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":416,"history_lines":7,"events_offset":117,"events_lines":2,"console_offset":437,"console_lines":8}
|
| 129 |
+
{"time":"2026-05-20T17:53:54.867333371Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 130 |
+
{"time":"2026-05-20T17:54:09.717420819Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":423,"history_lines":7,"events_offset":119,"events_lines":2,"console_offset":444,"console_lines":8}
|
| 131 |
+
{"time":"2026-05-20T17:54:09.880713073Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 132 |
+
{"time":"2026-05-20T17:54:24.716666972Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":430,"history_lines":8,"events_offset":121,"events_lines":2,"console_offset":451,"console_lines":9}
|
| 133 |
+
{"time":"2026-05-20T17:54:24.857736525Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 134 |
+
{"time":"2026-05-20T17:54:39.717898362Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":438,"history_lines":7,"events_offset":123,"events_lines":2,"console_offset":459,"console_lines":8}
|
| 135 |
+
{"time":"2026-05-20T17:54:39.87283609Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 136 |
+
{"time":"2026-05-20T17:54:54.718233956Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":445,"history_lines":8,"events_offset":125,"events_lines":2,"console_offset":466,"console_lines":9}
|
| 137 |
+
{"time":"2026-05-20T17:54:54.892610687Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 138 |
+
{"time":"2026-05-20T17:55:09.71643712Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":453,"history_lines":8,"events_offset":127,"events_lines":2,"console_offset":474,"console_lines":9}
|
| 139 |
+
{"time":"2026-05-20T17:55:09.926459806Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 140 |
+
{"time":"2026-05-20T17:55:24.716990809Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":461,"history_lines":7,"events_offset":129,"events_lines":2,"console_offset":482,"console_lines":8}
|
| 141 |
+
{"time":"2026-05-20T17:55:24.906349279Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 142 |
+
{"time":"2026-05-20T17:55:39.717507911Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":468,"history_lines":8,"events_offset":131,"events_lines":2,"console_offset":489,"console_lines":9}
|
| 143 |
+
{"time":"2026-05-20T17:55:40.051665116Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 144 |
+
{"time":"2026-05-20T17:55:54.716562981Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":476,"history_lines":7,"events_offset":133,"events_lines":2,"console_offset":497,"console_lines":8}
|
| 145 |
+
{"time":"2026-05-20T17:55:54.937796735Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
checkpoints/dagger/1iter/wandb/run-20260520_173853-ql0pvhal/files/output.log
CHANGED
|
@@ -170,4 +170,338 @@ Training: 12%|████▋ | 3040/25000 [05
|
|
| 170 |
Training: 12%|████▊ | 3060/25000 [05:23<34:16, 10.67step/s]INFO 2026-05-20 17:44:20 ot_train.py:488 step:3K smpl:196K ep:459 epch:0.73 loss:0.009 grdn:0.162 lr:4.8e-05 updt_s:0.090 data_s:0.008
|
| 171 |
Training: 12%|████▊ | 3080/25000 [05:25<37:39, 9.70step/s]INFO 2026-05-20 17:44:22 ot_train.py:488 step:3K smpl:197K ep:462 epch:0.74 loss:0.009 grdn:0.170 lr:4.8e-05 updt_s:0.091 data_s:0.009
|
| 172 |
Training: 12%|████▊ | 3099/25000 [05:27<35:56, 10.15step/s]INFO 2026-05-20 17:44:24 ot_train.py:488 step:3K smpl:198K ep:465 epch:0.74 loss:0.011 grdn:0.197 lr:4.8e-05 updt_s:0.091 data_s:0.008
|
| 173 |
-
Training: 12%|████▊ |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 170 |
Training: 12%|████▊ | 3060/25000 [05:23<34:16, 10.67step/s]INFO 2026-05-20 17:44:20 ot_train.py:488 step:3K smpl:196K ep:459 epch:0.73 loss:0.009 grdn:0.162 lr:4.8e-05 updt_s:0.090 data_s:0.008
|
| 171 |
Training: 12%|████▊ | 3080/25000 [05:25<37:39, 9.70step/s]INFO 2026-05-20 17:44:22 ot_train.py:488 step:3K smpl:197K ep:462 epch:0.74 loss:0.009 grdn:0.170 lr:4.8e-05 updt_s:0.091 data_s:0.009
|
| 172 |
Training: 12%|████▊ | 3099/25000 [05:27<35:56, 10.15step/s]INFO 2026-05-20 17:44:24 ot_train.py:488 step:3K smpl:198K ep:465 epch:0.74 loss:0.011 grdn:0.197 lr:4.8e-05 updt_s:0.091 data_s:0.008
|
| 173 |
+
Training: 12%|████▊ | 3120/25000 [05:29<36:40, 9.94step/s]INFO 2026-05-20 17:44:26 ot_train.py:488 step:3K smpl:200K ep:468 epch:0.75 loss:0.010 grdn:0.169 lr:4.8e-05 updt_s:0.086 data_s:0.011
|
| 174 |
+
Training: 13%|████▉ | 3140/25000 [05:31<33:43, 10.80step/s]INFO 2026-05-20 17:44:27 ot_train.py:488 step:3K smpl:201K ep:471 epch:0.75 loss:0.009 grdn:0.167 lr:4.8e-05 updt_s:0.087 data_s:0.007
|
| 175 |
+
Training: 13%|████▉ | 3159/25000 [05:33<36:24, 10.00step/s]INFO 2026-05-20 17:44:29 ot_train.py:488 step:3K smpl:202K ep:474 epch:0.75 loss:0.009 grdn:0.175 lr:4.8e-05 updt_s:0.091 data_s:0.007
|
| 176 |
+
Training: 13%|████▉ | 3180/25000 [05:35<37:45, 9.63step/s]INFO 2026-05-20 17:44:32 ot_train.py:488 step:3K smpl:204K ep:477 epch:0.76 loss:0.009 grdn:0.177 lr:4.8e-05 updt_s:0.095 data_s:0.010
|
| 177 |
+
Training: 13%|████▉ | 3199/25000 [05:37<35:35, 10.21step/s]INFO 2026-05-20 17:44:33 ot_train.py:488 step:3K smpl:205K ep:480 epch:0.76 loss:0.009 grdn:0.174 lr:4.8e-05 updt_s:0.081 data_s:0.013
|
| 178 |
+
Training: 13%|█████ | 3219/25000 [05:39<36:02, 10.07step/s]INFO 2026-05-20 17:44:36 ot_train.py:488 step:3K smpl:206K ep:483 epch:0.77 loss:0.010 grdn:0.178 lr:4.8e-05 updt_s:0.092 data_s:0.010
|
| 179 |
+
Training: 13%|█████ | 3239/25000 [05:41<33:54, 10.70step/s]INFO 2026-05-20 17:44:37 ot_train.py:488 step:3K smpl:207K ep:486 epch:0.77 loss:0.009 grdn:0.179 lr:4.8e-05 updt_s:0.087 data_s:0.009
|
| 180 |
+
Training: 13%|█████ | 3260/25000 [05:43<38:28, 9.42step/s]INFO 2026-05-20 17:44:40 ot_train.py:488 step:3K smpl:209K ep:489 epch:0.78 loss:0.010 grdn:0.176 lr:4.8e-05 updt_s:0.088 data_s:0.013
|
| 181 |
+
Training: 13%|█████ | 3279/25000 [05:45<34:41, 10.44step/s]INFO 2026-05-20 17:44:41 ot_train.py:488 step:3K smpl:210K ep:492 epch:0.78 loss:0.009 grdn:0.158 lr:4.8e-05 updt_s:0.088 data_s:0.007
|
| 182 |
+
Training: 13%|█████▏ | 3299/25000 [05:47<34:43, 10.42step/s]INFO 2026-05-20 17:44:43 ot_train.py:488 step:3K smpl:211K ep:495 epch:0.79 loss:0.009 grdn:0.163 lr:4.8e-05 updt_s:0.091 data_s:0.006
|
| 183 |
+
Training: 13%|█████▏ | 3320/25000 [05:49<35:37, 10.14step/s]INFO 2026-05-20 17:44:45 ot_train.py:488 step:3K smpl:212K ep:498 epch:0.79 loss:0.009 grdn:0.163 lr:4.8e-05 updt_s:0.090 data_s:0.009
|
| 184 |
+
Training: 13%|█████▏ | 3340/25000 [05:51<38:38, 9.34step/s]INFO 2026-05-20 17:44:48 ot_train.py:488 step:3K smpl:214K ep:501 epch:0.80 loss:0.009 grdn:0.160 lr:4.8e-05 updt_s:0.090 data_s:0.010
|
| 185 |
+
Training: 13%|█████▏ | 3360/25000 [05:53<35:40, 10.11step/s]INFO 2026-05-20 17:44:50 ot_train.py:488 step:3K smpl:215K ep:504 epch:0.80 loss:0.009 grdn:0.167 lr:4.8e-05 updt_s:0.088 data_s:0.011
|
| 186 |
+
Training: 14%|█████▎ | 3380/25000 [05:55<37:40, 9.56step/s]INFO 2026-05-20 17:44:52 ot_train.py:488 step:3K smpl:216K ep:507 epch:0.81 loss:0.009 grdn:0.169 lr:4.8e-05 updt_s:0.086 data_s:0.013
|
| 187 |
+
Training: 14%|█████▎ | 3399/25000 [05:57<36:43, 9.80step/s]INFO 2026-05-20 17:44:54 ot_train.py:488 step:3K smpl:218K ep:510 epch:0.81 loss:0.010 grdn:0.178 lr:4.8e-05 updt_s:0.086 data_s:0.011
|
| 188 |
+
Training: 14%|█████▎ | 3420/25000 [05:59<34:43, 10.36step/s]INFO 2026-05-20 17:44:55 ot_train.py:488 step:3K smpl:219K ep:513 epch:0.82 loss:0.009 grdn:0.175 lr:4.8e-05 updt_s:0.088 data_s:0.008
|
| 189 |
+
Training: 14%|█████▎ | 3439/25000 [06:01<35:18, 10.18step/s]INFO 2026-05-20 17:44:57 ot_train.py:488 step:3K smpl:220K ep:516 epch:0.82 loss:0.009 grdn:0.166 lr:4.8e-05 updt_s:0.089 data_s:0.011
|
| 190 |
+
Training: 14%|█████▍ | 3459/25000 [06:03<34:35, 10.38step/s]INFO 2026-05-20 17:44:59 ot_train.py:488 step:3K smpl:221K ep:519 epch:0.83 loss:0.010 grdn:0.183 lr:4.8e-05 updt_s:0.090 data_s:0.008
|
| 191 |
+
Training: 14%|█████▍ | 3480/25000 [06:05<38:29, 9.32step/s]INFO 2026-05-20 17:45:02 ot_train.py:488 step:3K smpl:223K ep:522 epch:0.83 loss:0.010 grdn:0.165 lr:4.8e-05 updt_s:0.091 data_s:0.009
|
| 192 |
+
Training: 14%|█████▍ | 3500/25000 [06:07<35:13, 10.17step/s]INFO 2026-05-20 17:45:04 ot_train.py:488 step:4K smpl:224K ep:525 epch:0.84 loss:0.009 grdn:0.154 lr:4.8e-05 updt_s:0.091 data_s:0.006
|
| 193 |
+
Training: 14%|█████▍ | 3519/25000 [06:09<36:01, 9.94step/s]INFO 2026-05-20 17:45:06 ot_train.py:488 step:4K smpl:225K ep:528 epch:0.84 loss:0.011 grdn:0.178 lr:4.8e-05 updt_s:0.094 data_s:0.006
|
| 194 |
+
Training: 14%|█████▌ | 3539/25000 [06:11<35:37, 10.04step/s]INFO 2026-05-20 17:45:07 ot_train.py:488 step:4K smpl:227K ep:531 epch:0.85 loss:0.009 grdn:0.181 lr:4.8e-05 updt_s:0.091 data_s:0.006
|
| 195 |
+
Training: 14%|█████▌ | 3559/25000 [06:13<34:53, 10.24step/s]INFO 2026-05-20 17:45:09 ot_train.py:488 step:4K smpl:228K ep:534 epch:0.85 loss:0.009 grdn:0.168 lr:4.8e-05 updt_s:0.092 data_s:0.006
|
| 196 |
+
Training: 14%|█████▌ | 3580/25000 [06:15<34:02, 10.49step/s]INFO 2026-05-20 17:45:11 ot_train.py:488 step:4K smpl:229K ep:537 epch:0.86 loss:0.009 grdn:0.183 lr:4.8e-05 updt_s:0.090 data_s:0.008
|
| 197 |
+
Training: 14%|█████▌ | 3600/25000 [06:17<34:36, 10.31step/s]INFO 2026-05-20 17:45:13 ot_train.py:488 step:4K smpl:230K ep:540 epch:0.86 loss:0.009 grdn:0.181 lr:4.8e-05 updt_s:0.088 data_s:0.008
|
| 198 |
+
Training: 14%|█████▋ | 3620/25000 [06:19<34:30, 10.33step/s]INFO 2026-05-20 17:45:15 ot_train.py:488 step:4K smpl:232K ep:543 epch:0.86 loss:0.010 grdn:0.179 lr:4.8e-05 updt_s:0.092 data_s:0.007
|
| 199 |
+
Training: 15%|█████▋ | 3640/25000 [06:20<34:20, 10.37step/s]INFO 2026-05-20 17:45:17 ot_train.py:488 step:4K smpl:233K ep:546 epch:0.87 loss:0.010 grdn:0.189 lr:4.8e-05 updt_s:0.090 data_s:0.007
|
| 200 |
+
Training: 15%|█████▋ | 3660/25000 [06:23<33:57, 10.47step/s]INFO 2026-05-20 17:45:19 ot_train.py:488 step:4K smpl:234K ep:549 epch:0.87 loss:0.010 grdn:0.189 lr:4.8e-05 updt_s:0.095 data_s:0.006
|
| 201 |
+
Training: 15%|█████▋ | 3680/25000 [06:25<34:09, 10.40step/s]INFO 2026-05-20 17:45:21 ot_train.py:488 step:4K smpl:236K ep:552 epch:0.88 loss:0.010 grdn:0.181 lr:4.8e-05 updt_s:0.085 data_s:0.011
|
| 202 |
+
Training: 15%|█████▊ | 3700/25000 [06:27<37:38, 9.43step/s]INFO 2026-05-20 17:45:24 ot_train.py:488 step:4K smpl:237K ep:555 epch:0.88 loss:0.009 grdn:0.164 lr:4.7e-05 updt_s:0.095 data_s:0.009
|
| 203 |
+
Training: 15%|█████▊ | 3720/25000 [06:29<38:52, 9.12step/s]INFO 2026-05-20 17:45:26 ot_train.py:488 step:4K smpl:238K ep:558 epch:0.89 loss:0.010 grdn:0.173 lr:4.7e-05 updt_s:0.094 data_s:0.007
|
| 204 |
+
Training: 15%|█████▊ | 3740/25000 [06:31<32:05, 11.04step/s]INFO 2026-05-20 17:45:27 ot_train.py:488 step:4K smpl:239K ep:561 epch:0.89 loss:0.009 grdn:0.181 lr:4.7e-05 updt_s:0.084 data_s:0.010
|
| 205 |
+
Training: 15%|█████▊ | 3760/25000 [06:33<33:59, 10.41step/s]INFO 2026-05-20 17:45:29 ot_train.py:488 step:4K smpl:241K ep:564 epch:0.90 loss:0.009 grdn:0.161 lr:4.7e-05 updt_s:0.092 data_s:0.006
|
| 206 |
+
Training: 15%|█████▉ | 3780/25000 [06:35<35:37, 9.93step/s]INFO 2026-05-20 17:45:32 ot_train.py:488 step:4K smpl:242K ep:567 epch:0.90 loss:0.009 grdn:0.166 lr:4.7e-05 updt_s:0.092 data_s:0.008
|
| 207 |
+
Training: 15%|█████▉ | 3799/25000 [06:37<34:38, 10.20step/s]INFO 2026-05-20 17:45:34 ot_train.py:488 step:4K smpl:243K ep:570 epch:0.91 loss:0.009 grdn:0.166 lr:4.7e-05 updt_s:0.092 data_s:0.006
|
| 208 |
+
Training: 15%|█████▉ | 3819/25000 [06:39<34:19, 10.28step/s]INFO 2026-05-20 17:45:36 ot_train.py:488 step:4K smpl:244K ep:573 epch:0.91 loss:0.009 grdn:0.160 lr:4.7e-05 updt_s:0.094 data_s:0.007
|
| 209 |
+
Training: 15%|█████▉ | 3840/25000 [06:41<33:11, 10.63step/s]INFO 2026-05-20 17:45:38 ot_train.py:488 step:4K smpl:246K ep:576 epch:0.92 loss:0.010 grdn:0.193 lr:4.7e-05 updt_s:0.092 data_s:0.006
|
| 210 |
+
Training: 15%|██████ | 3859/25000 [06:43<36:06, 9.76step/s]INFO 2026-05-20 17:45:40 ot_train.py:488 step:4K smpl:247K ep:579 epch:0.92 loss:0.010 grdn:0.179 lr:4.7e-05 updt_s:0.089 data_s:0.008
|
| 211 |
+
Training: 16%|██████ | 3880/25000 [06:45<34:22, 10.24step/s]INFO 2026-05-20 17:45:42 ot_train.py:488 step:4K smpl:248K ep:582 epch:0.93 loss:0.009 grdn:0.180 lr:4.7e-05 updt_s:0.091 data_s:0.008
|
| 212 |
+
Training: 16%|██████ | 3900/25000 [06:47<35:04, 10.02step/s]INFO 2026-05-20 17:45:44 ot_train.py:488 step:4K smpl:250K ep:585 epch:0.93 loss:0.008 grdn:0.153 lr:4.7e-05 updt_s:0.093 data_s:0.007
|
| 213 |
+
Training: 16%|██████ | 3920/25000 [06:49<34:07, 10.30step/s]INFO 2026-05-20 17:45:46 ot_train.py:488 step:4K smpl:251K ep:588 epch:0.94 loss:0.009 grdn:0.158 lr:4.7e-05 updt_s:0.089 data_s:0.008
|
| 214 |
+
Training: 16%|██████▏ | 3939/25000 [06:51<33:57, 10.33step/s]INFO 2026-05-20 17:45:48 ot_train.py:488 step:4K smpl:252K ep:591 epch:0.94 loss:0.008 grdn:0.159 lr:4.7e-05 updt_s:0.087 data_s:0.012
|
| 215 |
+
Training: 16%|██████▏ | 3960/25000 [06:53<37:28, 9.36step/s]INFO 2026-05-20 17:45:50 ot_train.py:488 step:4K smpl:253K ep:594 epch:0.95 loss:0.009 grdn:0.174 lr:4.7e-05 updt_s:0.092 data_s:0.007
|
| 216 |
+
Training: 16%|██████▏ | 3980/25000 [06:55<35:31, 9.86step/s]INFO 2026-05-20 17:45:52 ot_train.py:488 step:4K smpl:255K ep:597 epch:0.95 loss:0.010 grdn:0.182 lr:4.7e-05 updt_s:0.090 data_s:0.008
|
| 217 |
+
Training: 16%|██████▏ | 4000/25000 [06:57<36:28, 9.60step/s]INFO 2026-05-20 17:45:53 ot_train.py:488 step:4K smpl:256K ep:600 epch:0.96 loss:0.009 grdn:0.181 lr:4.7e-05 updt_s:0.091 data_s:0.007
|
| 218 |
+
INFO 2026-05-20 17:45:53 ot_train.py:502 Checkpoint policy after step 4000
|
| 219 |
+
Training: 16%|██████▎ | 4019/25000 [07:06<46:09, 7.58step/s]INFO 2026-05-20 17:46:03 ot_train.py:488 step:4K smpl:257K ep:603 epch:0.96 loss:0.010 grdn:0.187 lr:4.7e-05 updt_s:0.071 data_s:0.006
|
| 220 |
+
Training: 16%|██████▎ | 4039/25000 [07:08<32:57, 10.60step/s]INFO 2026-05-20 17:46:05 ot_train.py:488 step:4K smpl:259K ep:606 epch:0.97 loss:0.011 grdn:0.187 lr:4.7e-05 updt_s:0.091 data_s:0.006
|
| 221 |
+
Training: 16%|██████▎ | 4060/25000 [07:10<36:57, 9.44step/s]INFO 2026-05-20 17:46:07 ot_train.py:488 step:4K smpl:260K ep:609 epch:0.97 loss:0.009 grdn:0.201 lr:4.7e-05 updt_s:0.088 data_s:0.022
|
| 222 |
+
Training: 16%|██████▎ | 4080/25000 [07:12<25:18, 13.77step/s]INFO 2026-05-20 17:46:09 ot_train.py:488 step:4K smpl:261K ep:612 epch:0.97 loss:0.009 grdn:0.183 lr:4.7e-05 updt_s:0.066 data_s:0.005
|
| 223 |
+
Training: 16%|██████▍ | 4100/25000 [07:13<24:58, 13.95step/s]INFO 2026-05-20 17:46:10 ot_train.py:488 step:4K smpl:262K ep:615 epch:0.98 loss:0.010 grdn:0.200 lr:4.7e-05 updt_s:0.067 data_s:0.005
|
| 224 |
+
Training: 16%|██████ | 4120/25000 [07:19<3:32:28, 1.64step/s]INFO 2026-05-20 17:46:16 ot_train.py:488 step:4K smpl:264K ep:618 epch:0.98 loss:0.010 grdn:0.186 lr:4.7e-05 updt_s:0.143 data_s:0.129
|
| 225 |
+
Training: 17%|██████▍ | 4140/25000 [07:21<44:09, 7.87step/s]INFO 2026-05-20 17:46:18 ot_train.py:488 step:4K smpl:265K ep:621 epch:0.99 loss:0.010 grdn:0.184 lr:4.7e-05 updt_s:0.096 data_s:0.009
|
| 226 |
+
Training: 17%|██████▍ | 4160/25000 [07:23<35:06, 9.89step/s]INFO 2026-05-20 17:46:20 ot_train.py:488 step:4K smpl:266K ep:624 epch:0.99 loss:0.010 grdn:0.185 lr:4.7e-05 updt_s:0.099 data_s:0.013
|
| 227 |
+
Training: 17%|██████▌ | 4179/25000 [07:25<38:14, 9.07step/s]INFO 2026-05-20 17:46:22 ot_train.py:488 step:4K smpl:268K ep:627 epch:1.00 loss:0.008 grdn:0.159 lr:4.7e-05 updt_s:0.098 data_s:0.009
|
| 228 |
+
Training: 17%|██████▌ | 4200/25000 [07:28<36:30, 9.50step/s]INFO 2026-05-20 17:46:24 ot_train.py:488 step:4K smpl:269K ep:630 epch:1.00 loss:0.010 grdn:0.178 lr:4.7e-05 updt_s:0.101 data_s:0.006
|
| 229 |
+
Training: 17%|██████▌ | 4220/25000 [07:30<41:14, 8.40step/s]INFO 2026-05-20 17:46:27 ot_train.py:488 step:4K smpl:270K ep:633 epch:1.01 loss:0.009 grdn:0.176 lr:4.7e-05 updt_s:0.095 data_s:0.014
|
| 230 |
+
Training: 17%|██████▌ | 4240/25000 [07:32<35:54, 9.64step/s]INFO 2026-05-20 17:46:29 ot_train.py:488 step:4K smpl:271K ep:636 epch:1.01 loss:0.009 grdn:0.180 lr:4.7e-05 updt_s:0.099 data_s:0.007
|
| 231 |
+
Training: 17%|██████▋ | 4260/25000 [07:34<39:04, 8.85step/s]INFO 2026-05-20 17:46:31 ot_train.py:488 step:4K smpl:273K ep:639 epch:1.02 loss:0.009 grdn:0.156 lr:4.7e-05 updt_s:0.097 data_s:0.009
|
| 232 |
+
Training: 17%|██████▋ | 4279/25000 [07:36<36:06, 9.57step/s]INFO 2026-05-20 17:46:33 ot_train.py:488 step:4K smpl:274K ep:642 epch:1.02 loss:0.010 grdn:0.177 lr:4.7e-05 updt_s:0.089 data_s:0.008
|
| 233 |
+
Training: 17%|██████▋ | 4300/25000 [07:38<37:12, 9.27step/s]INFO 2026-05-20 17:46:35 ot_train.py:488 step:4K smpl:275K ep:645 epch:1.03 loss:0.010 grdn:0.169 lr:4.7e-05 updt_s:0.097 data_s:0.008
|
| 234 |
+
Training: 17%|██████▋ | 4320/25000 [07:40<33:05, 10.42step/s]INFO 2026-05-20 17:46:37 ot_train.py:488 step:4K smpl:276K ep:648 epch:1.03 loss:0.009 grdn:0.163 lr:4.7e-05 updt_s:0.084 data_s:0.011
|
| 235 |
+
Training: 17%|██████▊ | 4340/25000 [07:42<34:04, 10.10step/s]INFO 2026-05-20 17:46:39 ot_train.py:488 step:4K smpl:278K ep:651 epch:1.04 loss:0.008 grdn:0.158 lr:4.7e-05 updt_s:0.090 data_s:0.008
|
| 236 |
+
Training: 17%|██████▊ | 4359/25000 [07:44<32:14, 10.67step/s]INFO 2026-05-20 17:46:41 ot_train.py:488 step:4K smpl:279K ep:654 epch:1.04 loss:0.008 grdn:0.162 lr:4.6e-05 updt_s:0.088 data_s:0.010
|
| 237 |
+
Training: 18%|██████▊ | 4379/25000 [07:46<32:06, 10.70step/s]INFO 2026-05-20 17:46:43 ot_train.py:488 step:4K smpl:280K ep:657 epch:1.05 loss:0.009 grdn:0.186 lr:4.6e-05 updt_s:0.091 data_s:0.008
|
| 238 |
+
Training: 18%|██████▊ | 4400/25000 [07:48<33:52, 10.14step/s]INFO 2026-05-20 17:46:45 ot_train.py:488 step:4K smpl:282K ep:660 epch:1.05 loss:0.008 grdn:0.171 lr:4.6e-05 updt_s:0.088 data_s:0.007
|
| 239 |
+
Training: 18%|██████▉ | 4419/25000 [07:50<34:24, 9.97step/s]INFO 2026-05-20 17:46:47 ot_train.py:488 step:4K smpl:283K ep:663 epch:1.06 loss:0.009 grdn:0.169 lr:4.6e-05 updt_s:0.091 data_s:0.008
|
| 240 |
+
Training: 18%|██████▉ | 4440/25000 [07:52<33:03, 10.37step/s]INFO 2026-05-20 17:46:49 ot_train.py:488 step:4K smpl:284K ep:666 epch:1.06 loss:0.009 grdn:0.178 lr:4.6e-05 updt_s:0.092 data_s:0.010
|
| 241 |
+
Training: 18%|██████▉ | 4460/25000 [07:54<33:15, 10.29step/s]INFO 2026-05-20 17:46:51 ot_train.py:488 step:4K smpl:285K ep:669 epch:1.07 loss:0.010 grdn:0.172 lr:4.6e-05 updt_s:0.086 data_s:0.006
|
| 242 |
+
Training: 18%|██████▉ | 4480/25000 [07:56<32:27, 10.53step/s]INFO 2026-05-20 17:46:53 ot_train.py:488 step:4K smpl:287K ep:672 epch:1.07 loss:0.010 grdn:0.186 lr:4.6e-05 updt_s:0.090 data_s:0.008
|
| 243 |
+
Training: 18%|███████ | 4500/25000 [07:58<34:24, 9.93step/s]INFO 2026-05-20 17:46:55 ot_train.py:488 step:4K smpl:288K ep:675 epch:1.08 loss:0.010 grdn:0.177 lr:4.6e-05 updt_s:0.095 data_s:0.006
|
| 244 |
+
Training: 18%|███████ | 4520/25000 [08:00<30:45, 11.10step/s]INFO 2026-05-20 17:46:57 ot_train.py:488 step:5K smpl:289K ep:678 epch:1.08 loss:0.009 grdn:0.148 lr:4.6e-05 updt_s:0.084 data_s:0.007
|
| 245 |
+
Training: 18%|███████ | 4539/25000 [08:02<33:44, 10.11step/s]INFO 2026-05-20 17:46:59 ot_train.py:488 step:5K smpl:291K ep:681 epch:1.08 loss:0.009 grdn:0.158 lr:4.6e-05 updt_s:0.098 data_s:0.007
|
| 246 |
+
Training: 18%|███████ | 4560/25000 [08:04<33:49, 10.07step/s]INFO 2026-05-20 17:47:01 ot_train.py:488 step:5K smpl:292K ep:684 epch:1.09 loss:0.009 grdn:0.162 lr:4.6e-05 updt_s:0.089 data_s:0.010
|
| 247 |
+
Training: 18%|███████▏ | 4580/25000 [08:06<31:32, 10.79step/s]INFO 2026-05-20 17:47:03 ot_train.py:488 step:5K smpl:293K ep:687 epch:1.09 loss:0.009 grdn:0.180 lr:4.6e-05 updt_s:0.084 data_s:0.008
|
| 248 |
+
Training: 18%|███████▏ | 4600/25000 [08:08<37:22, 9.10step/s]INFO 2026-05-20 17:47:05 ot_train.py:488 step:5K smpl:294K ep:690 epch:1.10 loss:0.008 grdn:0.164 lr:4.6e-05 updt_s:0.094 data_s:0.009
|
| 249 |
+
Training: 18%|███████▏ | 4620/25000 [08:10<35:18, 9.62step/s]INFO 2026-05-20 17:47:07 ot_train.py:488 step:5K smpl:296K ep:693 epch:1.10 loss:0.009 grdn:0.182 lr:4.6e-05 updt_s:0.089 data_s:0.008
|
| 250 |
+
Training: 19%|███████▏ | 4640/25000 [08:12<33:14, 10.21step/s]INFO 2026-05-20 17:47:09 ot_train.py:488 step:5K smpl:297K ep:696 epch:1.11 loss:0.009 grdn:0.167 lr:4.6e-05 updt_s:0.093 data_s:0.006
|
| 251 |
+
Training: 19%|███████▎ | 4660/25000 [08:14<34:43, 9.76step/s]INFO 2026-05-20 17:47:11 ot_train.py:488 step:5K smpl:298K ep:699 epch:1.11 loss:0.009 grdn:0.163 lr:4.6e-05 updt_s:0.091 data_s:0.006
|
| 252 |
+
Training: 19%|███████▎ | 4679/25000 [08:16<33:19, 10.16step/s]INFO 2026-05-20 17:47:13 ot_train.py:488 step:5K smpl:300K ep:702 epch:1.12 loss:0.009 grdn:0.173 lr:4.6e-05 updt_s:0.091 data_s:0.010
|
| 253 |
+
Training: 19%|███████▎ | 4699/25000 [08:18<32:47, 10.32step/s]INFO 2026-05-20 17:47:15 ot_train.py:488 step:5K smpl:301K ep:705 epch:1.12 loss:0.009 grdn:0.169 lr:4.6e-05 updt_s:0.088 data_s:0.007
|
| 254 |
+
Training: 19%|███████▎ | 4719/25000 [08:20<33:47, 10.00step/s]INFO 2026-05-20 17:47:17 ot_train.py:488 step:5K smpl:302K ep:708 epch:1.13 loss:0.009 grdn:0.165 lr:4.6e-05 updt_s:0.091 data_s:0.008
|
| 255 |
+
Training: 19%|███████▍ | 4739/25000 [08:22<31:42, 10.65step/s]INFO 2026-05-20 17:47:19 ot_train.py:488 step:5K smpl:303K ep:711 epch:1.13 loss:0.009 grdn:0.170 lr:4.6e-05 updt_s:0.087 data_s:0.010
|
| 256 |
+
Training: 19%|███████▍ | 4760/25000 [08:24<33:20, 10.12step/s]INFO 2026-05-20 17:47:21 ot_train.py:488 step:5K smpl:305K ep:714 epch:1.14 loss:0.009 grdn:0.175 lr:4.6e-05 updt_s:0.091 data_s:0.007
|
| 257 |
+
Training: 19%|███████▍ | 4780/25000 [08:26<34:38, 9.73step/s]INFO 2026-05-20 17:47:23 ot_train.py:488 step:5K smpl:306K ep:717 epch:1.14 loss:0.009 grdn:0.196 lr:4.6e-05 updt_s:0.083 data_s:0.017
|
| 258 |
+
Training: 19%|███████▍ | 4800/25000 [08:28<36:57, 9.11step/s]INFO 2026-05-20 17:47:25 ot_train.py:488 step:5K smpl:307K ep:720 epch:1.15 loss:0.009 grdn:0.178 lr:4.6e-05 updt_s:0.091 data_s:0.010
|
| 259 |
+
Training: 19%|███████▌ | 4820/25000 [08:30<35:25, 9.49step/s]INFO 2026-05-20 17:47:27 ot_train.py:488 step:5K smpl:308K ep:723 epch:1.15 loss:0.010 grdn:0.183 lr:4.6e-05 updt_s:0.095 data_s:0.006
|
| 260 |
+
Training: 19%|███████▌ | 4839/25000 [08:32<30:16, 11.10step/s]INFO 2026-05-20 17:47:29 ot_train.py:488 step:5K smpl:310K ep:726 epch:1.16 loss:0.010 grdn:0.168 lr:4.6e-05 updt_s:0.091 data_s:0.006
|
| 261 |
+
Training: 19%|███████▌ | 4860/25000 [08:34<33:27, 10.03step/s]INFO 2026-05-20 17:47:31 ot_train.py:488 step:5K smpl:311K ep:729 epch:1.16 loss:0.010 grdn:0.180 lr:4.6e-05 updt_s:0.092 data_s:0.009
|
| 262 |
+
Training: 20%|███████▌ | 4880/25000 [08:36<33:12, 10.10step/s]INFO 2026-05-20 17:47:33 ot_train.py:488 step:5K smpl:312K ep:732 epch:1.17 loss:0.010 grdn:0.191 lr:4.6e-05 updt_s:0.088 data_s:0.008
|
| 263 |
+
Training: 20%|███████▋ | 4900/25000 [08:38<35:45, 9.37step/s]INFO 2026-05-20 17:47:35 ot_train.py:488 step:5K smpl:314K ep:735 epch:1.17 loss:0.009 grdn:0.181 lr:4.6e-05 updt_s:0.092 data_s:0.011
|
| 264 |
+
Training: 20%|███████▋ | 4919/25000 [08:40<30:46, 10.87step/s]INFO 2026-05-20 17:47:37 ot_train.py:488 step:5K smpl:315K ep:738 epch:1.18 loss:0.009 grdn:0.169 lr:4.6e-05 updt_s:0.082 data_s:0.015
|
| 265 |
+
Training: 20%|███████▋ | 4939/25000 [08:42<35:19, 9.46step/s]INFO 2026-05-20 17:47:39 ot_train.py:488 step:5K smpl:316K ep:741 epch:1.18 loss:0.010 grdn:0.173 lr:4.5e-05 updt_s:0.088 data_s:0.011
|
| 266 |
+
Training: 20%|███████▋ | 4959/25000 [08:44<34:08, 9.78step/s]INFO 2026-05-20 17:47:41 ot_train.py:488 step:5K smpl:317K ep:744 epch:1.18 loss:0.009 grdn:0.169 lr:4.5e-05 updt_s:0.087 data_s:0.010
|
| 267 |
+
Training: 20%|███████▊ | 4980/25000 [08:46<34:35, 9.65step/s]INFO 2026-05-20 17:47:43 ot_train.py:488 step:5K smpl:319K ep:747 epch:1.19 loss:0.009 grdn:0.182 lr:4.5e-05 updt_s:0.090 data_s:0.010
|
| 268 |
+
Training: 20%|███████▊ | 5000/25000 [08:48<35:29, 9.39step/s]INFO 2026-05-20 17:47:45 ot_train.py:488 step:5K smpl:320K ep:750 epch:1.19 loss:0.010 grdn:0.186 lr:4.5e-05 updt_s:0.094 data_s:0.006
|
| 269 |
+
Training: 20%|███████▊ | 5019/25000 [08:50<36:07, 9.22step/s]INFO 2026-05-20 17:47:47 ot_train.py:488 step:5K smpl:321K ep:753 epch:1.20 loss:0.010 grdn:0.191 lr:4.5e-05 updt_s:0.094 data_s:0.008
|
| 270 |
+
Training: 20%|███████▊ | 5040/25000 [08:52<35:31, 9.37step/s]INFO 2026-05-20 17:47:49 ot_train.py:488 step:5K smpl:323K ep:756 epch:1.20 loss:0.009 grdn:0.168 lr:4.5e-05 updt_s:0.089 data_s:0.010
|
| 271 |
+
Training: 20%|███████▉ | 5060/25000 [08:54<34:49, 9.54step/s]INFO 2026-05-20 17:47:51 ot_train.py:488 step:5K smpl:324K ep:759 epch:1.21 loss:0.009 grdn:0.178 lr:4.5e-05 updt_s:0.087 data_s:0.011
|
| 272 |
+
Training: 20%|███████▉ | 5080/25000 [08:56<32:08, 10.33step/s]INFO 2026-05-20 17:47:53 ot_train.py:488 step:5K smpl:325K ep:762 epch:1.21 loss:0.010 grdn:0.169 lr:4.5e-05 updt_s:0.088 data_s:0.008
|
| 273 |
+
Training: 20%|███████▉ | 5100/25000 [08:58<34:49, 9.52step/s]INFO 2026-05-20 17:47:55 ot_train.py:488 step:5K smpl:326K ep:765 epch:1.22 loss:0.009 grdn:0.165 lr:4.5e-05 updt_s:0.095 data_s:0.009
|
| 274 |
+
Training: 20%|███████▉ | 5120/25000 [09:00<31:32, 10.50step/s]INFO 2026-05-20 17:47:57 ot_train.py:488 step:5K smpl:328K ep:768 epch:1.22 loss:0.009 grdn:0.174 lr:4.5e-05 updt_s:0.084 data_s:0.011
|
| 275 |
+
Training: 21%|████████ | 5140/25000 [09:02<34:29, 9.60step/s]INFO 2026-05-20 17:47:59 ot_train.py:488 step:5K smpl:329K ep:771 epch:1.23 loss:0.009 grdn:0.171 lr:4.5e-05 updt_s:0.097 data_s:0.007
|
| 276 |
+
Training: 21%|████████ | 5159/25000 [09:04<33:02, 10.01step/s]INFO 2026-05-20 17:48:01 ot_train.py:488 step:5K smpl:330K ep:774 epch:1.23 loss:0.009 grdn:0.164 lr:4.5e-05 updt_s:0.089 data_s:0.011
|
| 277 |
+
Training: 21%|████████ | 5180/25000 [09:06<34:21, 9.61step/s]INFO 2026-05-20 17:48:03 ot_train.py:488 step:5K smpl:332K ep:777 epch:1.24 loss:0.008 grdn:0.162 lr:4.5e-05 updt_s:0.090 data_s:0.011
|
| 278 |
+
Training: 21%|████████ | 5200/25000 [09:08<35:30, 9.29step/s]INFO 2026-05-20 17:48:05 ot_train.py:488 step:5K smpl:333K ep:780 epch:1.24 loss:0.010 grdn:0.187 lr:4.5e-05 updt_s:0.094 data_s:0.006
|
| 279 |
+
Training: 21%|████████▏ | 5220/25000 [09:11<35:36, 9.26step/s]INFO 2026-05-20 17:48:07 ot_train.py:488 step:5K smpl:334K ep:783 epch:1.25 loss:0.008 grdn:0.173 lr:4.5e-05 updt_s:0.093 data_s:0.008
|
| 280 |
+
Training: 21%|████████▏ | 5240/25000 [09:13<34:41, 9.50step/s]INFO 2026-05-20 17:48:09 ot_train.py:488 step:5K smpl:335K ep:786 epch:1.25 loss:0.009 grdn:0.165 lr:4.5e-05 updt_s:0.090 data_s:0.007
|
| 281 |
+
Training: 21%|████████▏ | 5260/25000 [09:15<34:04, 9.65step/s]INFO 2026-05-20 17:48:11 ot_train.py:488 step:5K smpl:337K ep:789 epch:1.26 loss:0.011 grdn:0.177 lr:4.5e-05 updt_s:0.091 data_s:0.008
|
| 282 |
+
Training: 21%|████████▏ | 5280/25000 [09:16<31:46, 10.34step/s]INFO 2026-05-20 17:48:13 ot_train.py:488 step:5K smpl:338K ep:792 epch:1.26 loss:0.008 grdn:0.151 lr:4.5e-05 updt_s:0.088 data_s:0.008
|
| 283 |
+
Training: 21%|████████▎ | 5300/25000 [09:19<31:03, 10.57step/s]INFO 2026-05-20 17:48:15 ot_train.py:488 step:5K smpl:339K ep:795 epch:1.27 loss:0.008 grdn:0.157 lr:4.5e-05 updt_s:0.093 data_s:0.008
|
| 284 |
+
Training: 21%|████████▎ | 5320/25000 [09:21<31:57, 10.27step/s]INFO 2026-05-20 17:48:17 ot_train.py:488 step:5K smpl:340K ep:798 epch:1.27 loss:0.009 grdn:0.163 lr:4.5e-05 updt_s:0.089 data_s:0.010
|
| 285 |
+
Training: 21%|████████▎ | 5340/25000 [09:23<33:24, 9.81step/s]INFO 2026-05-20 17:48:19 ot_train.py:488 step:5K smpl:342K ep:801 epch:1.28 loss:0.008 grdn:0.164 lr:4.5e-05 updt_s:0.093 data_s:0.006
|
| 286 |
+
Training: 21%|████████▎ | 5360/25000 [09:25<33:06, 9.89step/s]INFO 2026-05-20 17:48:21 ot_train.py:488 step:5K smpl:343K ep:804 epch:1.28 loss:0.009 grdn:0.170 lr:4.5e-05 updt_s:0.090 data_s:0.010
|
| 287 |
+
Training: 22%|████████▍ | 5380/25000 [09:27<32:50, 9.96step/s]INFO 2026-05-20 17:48:23 ot_train.py:488 step:5K smpl:344K ep:807 epch:1.29 loss:0.010 grdn:0.181 lr:4.5e-05 updt_s:0.093 data_s:0.007
|
| 288 |
+
Training: 22%|████████▍ | 5399/25000 [09:29<33:51, 9.65step/s]INFO 2026-05-20 17:48:26 ot_train.py:488 step:5K smpl:346K ep:810 epch:1.29 loss:0.009 grdn:0.165 lr:4.5e-05 updt_s:0.094 data_s:0.008
|
| 289 |
+
Training: 22%|████████▍ | 5419/25000 [09:31<33:55, 9.62step/s]INFO 2026-05-20 17:48:28 ot_train.py:488 step:5K smpl:347K ep:813 epch:1.29 loss:0.010 grdn:0.173 lr:4.5e-05 updt_s:0.092 data_s:0.008
|
| 290 |
+
Training: 22%|████████▍ | 5439/25000 [09:33<33:13, 9.81step/s]INFO 2026-05-20 17:48:30 ot_train.py:488 step:5K smpl:348K ep:816 epch:1.30 loss:0.009 grdn:0.167 lr:4.5e-05 updt_s:0.089 data_s:0.008
|
| 291 |
+
Training: 22%|████████▌ | 5460/25000 [09:35<33:44, 9.65step/s]INFO 2026-05-20 17:48:32 ot_train.py:488 step:5K smpl:349K ep:819 epch:1.30 loss:0.009 grdn:0.166 lr:4.5e-05 updt_s:0.094 data_s:0.008
|
| 292 |
+
Training: 22%|████████▌ | 5480/25000 [09:37<33:50, 9.61step/s]INFO 2026-05-20 17:48:34 ot_train.py:488 step:5K smpl:351K ep:822 epch:1.31 loss:0.010 grdn:0.186 lr:4.4e-05 updt_s:0.087 data_s:0.011
|
| 293 |
+
Training: 22%|████████▌ | 5500/25000 [09:39<32:11, 10.10step/s]INFO 2026-05-20 17:48:36 ot_train.py:488 step:6K smpl:352K ep:825 epch:1.31 loss:0.009 grdn:0.179 lr:4.4e-05 updt_s:0.089 data_s:0.008
|
| 294 |
+
Training: 22%|████████▌ | 5519/25000 [09:41<32:49, 9.89step/s]INFO 2026-05-20 17:48:38 ot_train.py:488 step:6K smpl:353K ep:828 epch:1.32 loss:0.010 grdn:0.177 lr:4.4e-05 updt_s:0.092 data_s:0.008
|
| 295 |
+
Training: 22%|████████▋ | 5539/25000 [09:43<32:27, 9.99step/s]INFO 2026-05-20 17:48:40 ot_train.py:488 step:6K smpl:355K ep:831 epch:1.32 loss:0.009 grdn:0.171 lr:4.4e-05 updt_s:0.093 data_s:0.008
|
| 296 |
+
Training: 22%|████████▋ | 5559/25000 [09:45<31:43, 10.21step/s]INFO 2026-05-20 17:48:42 ot_train.py:488 step:6K smpl:356K ep:834 epch:1.33 loss:0.010 grdn:0.176 lr:4.4e-05 updt_s:0.090 data_s:0.011
|
| 297 |
+
Training: 22%|████████▋ | 5579/25000 [09:47<31:06, 10.41step/s]INFO 2026-05-20 17:48:44 ot_train.py:488 step:6K smpl:357K ep:837 epch:1.33 loss:0.008 grdn:0.160 lr:4.4e-05 updt_s:0.084 data_s:0.009
|
| 298 |
+
Training: 22%|████████▋ | 5600/25000 [09:49<32:39, 9.90step/s]INFO 2026-05-20 17:48:46 ot_train.py:488 step:6K smpl:358K ep:840 epch:1.34 loss:0.009 grdn:0.166 lr:4.4e-05 updt_s:0.093 data_s:0.011
|
| 299 |
+
Training: 22%|████████▊ | 5620/25000 [09:51<33:43, 9.58step/s]INFO 2026-05-20 17:48:48 ot_train.py:488 step:6K smpl:360K ep:843 epch:1.34 loss:0.010 grdn:0.173 lr:4.4e-05 updt_s:0.090 data_s:0.008
|
| 300 |
+
Training: 23%|████████▊ | 5639/25000 [09:53<30:47, 10.48step/s]INFO 2026-05-20 17:48:50 ot_train.py:488 step:6K smpl:361K ep:846 epch:1.35 loss:0.009 grdn:0.162 lr:4.4e-05 updt_s:0.089 data_s:0.009
|
| 301 |
+
Training: 23%|████████▊ | 5660/25000 [09:55<34:16, 9.41step/s]INFO 2026-05-20 17:48:52 ot_train.py:488 step:6K smpl:362K ep:849 epch:1.35 loss:0.009 grdn:0.162 lr:4.4e-05 updt_s:0.092 data_s:0.009
|
| 302 |
+
Training: 23%|████████▊ | 5680/25000 [09:57<31:25, 10.25step/s]INFO 2026-05-20 17:48:54 ot_train.py:488 step:6K smpl:364K ep:852 epch:1.36 loss:0.009 grdn:0.183 lr:4.4e-05 updt_s:0.087 data_s:0.010
|
| 303 |
+
Training: 23%|████████▉ | 5700/25000 [09:59<30:44, 10.46step/s]INFO 2026-05-20 17:48:56 ot_train.py:488 step:6K smpl:365K ep:855 epch:1.36 loss:0.009 grdn:0.192 lr:4.4e-05 updt_s:0.092 data_s:0.008
|
| 304 |
+
Training: 23%|████████▉ | 5719/25000 [10:01<31:06, 10.33step/s]INFO 2026-05-20 17:48:58 ot_train.py:488 step:6K smpl:366K ep:858 epch:1.37 loss:0.009 grdn:0.175 lr:4.4e-05 updt_s:0.096 data_s:0.006
|
| 305 |
+
Training: 23%|████████▉ | 5739/25000 [10:03<30:37, 10.48step/s]INFO 2026-05-20 17:49:00 ot_train.py:488 step:6K smpl:367K ep:861 epch:1.37 loss:0.009 grdn:0.183 lr:4.4e-05 updt_s:0.090 data_s:0.006
|
| 306 |
+
Training: 23%|████████▉ | 5760/25000 [10:05<31:26, 10.20step/s]INFO 2026-05-20 17:49:02 ot_train.py:488 step:6K smpl:369K ep:864 epch:1.38 loss:0.011 grdn:0.190 lr:4.4e-05 updt_s:0.089 data_s:0.010
|
| 307 |
+
Training: 23%|█████████ | 5780/25000 [10:07<31:01, 10.33step/s]INFO 2026-05-20 17:49:04 ot_train.py:488 step:6K smpl:370K ep:867 epch:1.38 loss:0.010 grdn:0.186 lr:4.4e-05 updt_s:0.089 data_s:0.008
|
| 308 |
+
Training: 23%|█████████ | 5800/25000 [10:09<30:02, 10.65step/s]INFO 2026-05-20 17:49:06 ot_train.py:488 step:6K smpl:371K ep:870 epch:1.39 loss:0.009 grdn:0.173 lr:4.4e-05 updt_s:0.091 data_s:0.008
|
| 309 |
+
Training: 23%|█████████ | 5820/25000 [10:11<31:18, 10.21step/s]INFO 2026-05-20 17:49:08 ot_train.py:488 step:6K smpl:372K ep:873 epch:1.39 loss:0.009 grdn:0.163 lr:4.4e-05 updt_s:0.091 data_s:0.011
|
| 310 |
+
Training: 23%|█████████ | 5839/25000 [10:13<29:57, 10.66step/s]INFO 2026-05-20 17:49:10 ot_train.py:488 step:6K smpl:374K ep:876 epch:1.40 loss:0.009 grdn:0.177 lr:4.4e-05 updt_s:0.090 data_s:0.009
|
| 311 |
+
Training: 23%|█████████▏ | 5859/25000 [10:15<30:18, 10.52step/s]INFO 2026-05-20 17:49:12 ot_train.py:488 step:6K smpl:375K ep:879 epch:1.40 loss:0.009 grdn:0.184 lr:4.4e-05 updt_s:0.090 data_s:0.010
|
| 312 |
+
Training: 24%|█████████▏ | 5879/25000 [10:17<30:21, 10.50step/s]INFO 2026-05-20 17:49:14 ot_train.py:488 step:6K smpl:376K ep:882 epch:1.40 loss:0.009 grdn:0.189 lr:4.4e-05 updt_s:0.087 data_s:0.008
|
| 313 |
+
Training: 24%|█████████▏ | 5899/25000 [10:19<31:47, 10.02step/s]INFO 2026-05-20 17:49:16 ot_train.py:488 step:6K smpl:378K ep:885 epch:1.41 loss:0.010 grdn:0.180 lr:4.4e-05 updt_s:0.095 data_s:0.010
|
| 314 |
+
Training: 24%|█████████▏ | 5920/25000 [10:21<30:13, 10.52step/s]INFO 2026-05-20 17:49:18 ot_train.py:488 step:6K smpl:379K ep:888 epch:1.41 loss:0.009 grdn:0.193 lr:4.4e-05 updt_s:0.089 data_s:0.008
|
| 315 |
+
Training: 24%|█████████▎ | 5940/25000 [10:23<33:21, 9.52step/s]INFO 2026-05-20 17:49:20 ot_train.py:488 step:6K smpl:380K ep:891 epch:1.42 loss:0.010 grdn:0.178 lr:4.4e-05 updt_s:0.093 data_s:0.008
|
| 316 |
+
Training: 24%|█████████▎ | 5959/25000 [10:25<30:41, 10.34step/s]INFO 2026-05-20 17:49:22 ot_train.py:488 step:6K smpl:381K ep:894 epch:1.42 loss:0.011 grdn:0.188 lr:4.3e-05 updt_s:0.089 data_s:0.010
|
| 317 |
+
Training: 24%|█████████▎ | 5980/25000 [10:27<35:02, 9.05step/s]INFO 2026-05-20 17:49:24 ot_train.py:488 step:6K smpl:383K ep:897 epch:1.43 loss:0.009 grdn:0.184 lr:4.3e-05 updt_s:0.095 data_s:0.007
|
| 318 |
+
Training: 24%|█████████▎ | 6000/25000 [10:29<30:42, 10.31step/s]INFO 2026-05-20 17:49:26 ot_train.py:488 step:6K smpl:384K ep:900 epch:1.43 loss:0.010 grdn:0.177 lr:4.3e-05 updt_s:0.088 data_s:0.009
|
| 319 |
+
INFO 2026-05-20 17:49:26 ot_train.py:502 Checkpoint policy after step 6000
|
| 320 |
+
Training: 24%|█████████▍ | 6020/25000 [10:39<45:31, 6.95step/s]INFO 2026-05-20 17:49:36 ot_train.py:488 step:6K smpl:385K ep:903 epch:1.44 loss:0.010 grdn:0.184 lr:4.3e-05 updt_s:0.075 data_s:0.006
|
| 321 |
+
Training: 24%|█████████▍ | 6039/25000 [10:41<34:28, 9.17step/s]INFO 2026-05-20 17:49:38 ot_train.py:488 step:6K smpl:387K ep:906 epch:1.44 loss:0.009 grdn:0.179 lr:4.3e-05 updt_s:0.096 data_s:0.011
|
| 322 |
+
Training: 24%|█████████▍ | 6059/25000 [10:43<30:38, 10.30step/s]INFO 2026-05-20 17:49:40 ot_train.py:488 step:6K smpl:388K ep:909 epch:1.45 loss:0.009 grdn:0.183 lr:4.3e-05 updt_s:0.090 data_s:0.007
|
| 323 |
+
Training: 24%|█████████▍ | 6079/25000 [10:45<30:26, 10.36step/s]INFO 2026-05-20 17:49:42 ot_train.py:488 step:6K smpl:389K ep:912 epch:1.45 loss:0.009 grdn:0.169 lr:4.3e-05 updt_s:0.087 data_s:0.009
|
| 324 |
+
Training: 24%|█████████▌ | 6099/25000 [10:47<29:52, 10.55step/s]INFO 2026-05-20 17:49:44 ot_train.py:488 step:6K smpl:390K ep:915 epch:1.46 loss:0.009 grdn:0.175 lr:4.3e-05 updt_s:0.090 data_s:0.006
|
| 325 |
+
Training: 24%|█████████▌ | 6119/25000 [10:49<30:14, 10.40step/s]INFO 2026-05-20 17:49:46 ot_train.py:488 step:6K smpl:392K ep:918 epch:1.46 loss:0.010 grdn:0.193 lr:4.3e-05 updt_s:0.094 data_s:0.007
|
| 326 |
+
Training: 25%|█████████▌ | 6140/25000 [10:51<31:18, 10.04step/s]INFO 2026-05-20 17:49:48 ot_train.py:488 step:6K smpl:393K ep:921 epch:1.47 loss:0.008 grdn:0.179 lr:4.3e-05 updt_s:0.087 data_s:0.011
|
| 327 |
+
Training: 25%|█████████▌ | 6159/25000 [10:53<34:07, 9.20step/s]INFO 2026-05-20 17:49:50 ot_train.py:488 step:6K smpl:394K ep:924 epch:1.47 loss:0.009 grdn:0.169 lr:4.3e-05 updt_s:0.090 data_s:0.007
|
| 328 |
+
Training: 25%|█████████▋ | 6179/25000 [10:55<33:10, 9.45step/s]INFO 2026-05-20 17:49:52 ot_train.py:488 step:6K smpl:396K ep:927 epch:1.48 loss:0.009 grdn:0.169 lr:4.3e-05 updt_s:0.091 data_s:0.008
|
| 329 |
+
Training: 25%|█████████▋ | 6199/25000 [10:57<30:38, 10.23step/s]INFO 2026-05-20 17:49:54 ot_train.py:488 step:6K smpl:397K ep:930 epch:1.48 loss:0.009 grdn:0.180 lr:4.3e-05 updt_s:0.086 data_s:0.009
|
| 330 |
+
Training: 25%|█████████▋ | 6219/25000 [10:59<30:35, 10.23step/s]INFO 2026-05-20 17:49:56 ot_train.py:488 step:6K smpl:398K ep:933 epch:1.49 loss:0.010 grdn:0.189 lr:4.3e-05 updt_s:0.091 data_s:0.011
|
| 331 |
+
Training: 25%|█████████▋ | 6240/25000 [11:01<32:36, 9.59step/s]INFO 2026-05-20 17:49:58 ot_train.py:488 step:6K smpl:399K ep:936 epch:1.49 loss:0.010 grdn:0.184 lr:4.3e-05 updt_s:0.090 data_s:0.008
|
| 332 |
+
Training: 25%|█████████▊ | 6259/25000 [11:03<31:15, 9.99step/s]INFO 2026-05-20 17:50:00 ot_train.py:488 step:6K smpl:401K ep:939 epch:1.50 loss:0.010 grdn:0.192 lr:4.3e-05 updt_s:0.093 data_s:0.007
|
| 333 |
+
Training: 25%|█████████▊ | 6280/25000 [11:05<32:49, 9.51step/s]INFO 2026-05-20 17:50:02 ot_train.py:488 step:6K smpl:402K ep:942 epch:1.50 loss:0.009 grdn:0.169 lr:4.3e-05 updt_s:0.089 data_s:0.010
|
| 334 |
+
Training: 25%|█████████▊ | 6300/25000 [11:07<30:13, 10.31step/s]INFO 2026-05-20 17:50:04 ot_train.py:488 step:6K smpl:403K ep:945 epch:1.51 loss:0.009 grdn:0.162 lr:4.3e-05 updt_s:0.088 data_s:0.008
|
| 335 |
+
Training: 25%|█████████▊ | 6320/25000 [11:09<32:44, 9.51step/s]INFO 2026-05-20 17:50:06 ot_train.py:488 step:6K smpl:404K ep:948 epch:1.51 loss:0.009 grdn:0.154 lr:4.3e-05 updt_s:0.094 data_s:0.010
|
| 336 |
+
Training: 25%|█████████▉ | 6339/25000 [11:11<30:50, 10.08step/s]INFO 2026-05-20 17:50:08 ot_train.py:488 step:6K smpl:406K ep:951 epch:1.51 loss:0.009 grdn:0.170 lr:4.3e-05 updt_s:0.091 data_s:0.006
|
| 337 |
+
Training: 25%|█████████▉ | 6360/25000 [11:13<34:00, 9.14step/s]INFO 2026-05-20 17:50:10 ot_train.py:488 step:6K smpl:407K ep:954 epch:1.52 loss:0.010 grdn:0.171 lr:4.3e-05 updt_s:0.094 data_s:0.010
|
| 338 |
+
Training: 26%|█████████▉ | 6379/25000 [11:15<29:05, 10.67step/s]INFO 2026-05-20 17:50:12 ot_train.py:488 step:6K smpl:408K ep:957 epch:1.52 loss:0.009 grdn:0.162 lr:4.3e-05 updt_s:0.090 data_s:0.007
|
| 339 |
+
Training: 26%|█████████▉ | 6400/25000 [11:17<28:45, 10.78step/s]INFO 2026-05-20 17:50:14 ot_train.py:488 step:6K smpl:410K ep:960 epch:1.53 loss:0.007 grdn:0.154 lr:4.3e-05 updt_s:0.086 data_s:0.013
|
| 340 |
+
Training: 26%|██████████ | 6420/25000 [11:19<32:22, 9.57step/s]INFO 2026-05-20 17:50:16 ot_train.py:488 step:6K smpl:411K ep:963 epch:1.53 loss:0.009 grdn:0.183 lr:4.2e-05 updt_s:0.092 data_s:0.009
|
| 341 |
+
Training: 26%|██████████ | 6439/25000 [11:21<30:49, 10.04step/s]INFO 2026-05-20 17:50:18 ot_train.py:488 step:6K smpl:412K ep:966 epch:1.54 loss:0.008 grdn:0.176 lr:4.2e-05 updt_s:0.089 data_s:0.008
|
| 342 |
+
Training: 26%|██████████ | 6460/25000 [11:23<30:27, 10.15step/s]INFO 2026-05-20 17:50:20 ot_train.py:488 step:6K smpl:413K ep:969 epch:1.54 loss:0.009 grdn:0.178 lr:4.2e-05 updt_s:0.086 data_s:0.009
|
| 343 |
+
Training: 26%|██████████ | 6480/25000 [11:25<31:18, 9.86step/s]INFO 2026-05-20 17:50:22 ot_train.py:488 step:6K smpl:415K ep:972 epch:1.55 loss:0.010 grdn:0.170 lr:4.2e-05 updt_s:0.088 data_s:0.009
|
| 344 |
+
Training: 26%|██████████▏ | 6499/25000 [11:27<31:04, 9.92step/s]INFO 2026-05-20 17:50:24 ot_train.py:488 step:6K smpl:416K ep:975 epch:1.55 loss:0.009 grdn:0.150 lr:4.2e-05 updt_s:0.091 data_s:0.007
|
| 345 |
+
Training: 26%|██████████▏ | 6519/25000 [11:29<29:45, 10.35step/s]INFO 2026-05-20 17:50:26 ot_train.py:488 step:7K smpl:417K ep:978 epch:1.56 loss:0.010 grdn:0.179 lr:4.2e-05 updt_s:0.091 data_s:0.006
|
| 346 |
+
Training: 26%|██████████▏ | 6539/25000 [11:31<28:57, 10.62step/s]INFO 2026-05-20 17:50:28 ot_train.py:488 step:7K smpl:419K ep:981 epch:1.56 loss:0.008 grdn:0.157 lr:4.2e-05 updt_s:0.092 data_s:0.007
|
| 347 |
+
Training: 26%|██████████▏ | 6560/25000 [11:33<33:17, 9.23step/s]INFO 2026-05-20 17:50:30 ot_train.py:488 step:7K smpl:420K ep:984 epch:1.57 loss:0.010 grdn:0.181 lr:4.2e-05 updt_s:0.092 data_s:0.010
|
| 348 |
+
Training: 26%|██████████▎ | 6579/25000 [11:35<30:29, 10.07step/s]INFO 2026-05-20 17:50:32 ot_train.py:488 step:7K smpl:421K ep:987 epch:1.57 loss:0.010 grdn:0.198 lr:4.2e-05 updt_s:0.090 data_s:0.009
|
| 349 |
+
Training: 26%|██████████▎ | 6599/25000 [11:37<32:17, 9.50step/s]INFO 2026-05-20 17:50:34 ot_train.py:488 step:7K smpl:422K ep:990 epch:1.58 loss:0.009 grdn:0.174 lr:4.2e-05 updt_s:0.094 data_s:0.008
|
| 350 |
+
Training: 26%|██████████▎ | 6619/25000 [11:39<30:09, 10.16step/s]INFO 2026-05-20 17:50:36 ot_train.py:488 step:7K smpl:424K ep:993 epch:1.58 loss:0.009 grdn:0.161 lr:4.2e-05 updt_s:0.086 data_s:0.007
|
| 351 |
+
Training: 27%|██████████▎ | 6639/25000 [11:41<29:27, 10.39step/s]INFO 2026-05-20 17:50:38 ot_train.py:488 step:7K smpl:425K ep:996 epch:1.59 loss:0.008 grdn:0.153 lr:4.2e-05 updt_s:0.088 data_s:0.012
|
| 352 |
+
Training: 27%|██████████▍ | 6660/25000 [11:43<28:09, 10.86step/s]INFO 2026-05-20 17:50:40 ot_train.py:488 step:7K smpl:426K ep:999 epch:1.59 loss:0.008 grdn:0.169 lr:4.2e-05 updt_s:0.093 data_s:0.006
|
| 353 |
+
Training: 27%|██████████▍ | 6679/25000 [11:45<29:50, 10.23step/s]INFO 2026-05-20 17:50:42 ot_train.py:488 step:7K smpl:428K ep:1K epch:1.60 loss:0.009 grdn:0.166 lr:4.2e-05 updt_s:0.090 data_s:0.006
|
| 354 |
+
Training: 27%|██████████▍ | 6700/25000 [11:47<29:47, 10.24step/s]INFO 2026-05-20 17:50:44 ot_train.py:488 step:7K smpl:429K ep:1K epch:1.60 loss:0.009 grdn:0.169 lr:4.2e-05 updt_s:0.092 data_s:0.009
|
| 355 |
+
Training: 27%|██████████▍ | 6720/25000 [11:49<34:45, 8.77step/s]INFO 2026-05-20 17:50:46 ot_train.py:488 step:7K smpl:430K ep:1K epch:1.61 loss:0.009 grdn:0.162 lr:4.2e-05 updt_s:0.096 data_s:0.006
|
| 356 |
+
Training: 27%|██████████▌ | 6739/25000 [11:51<28:00, 10.87step/s]INFO 2026-05-20 17:50:48 ot_train.py:488 step:7K smpl:431K ep:1K epch:1.61 loss:0.009 grdn:0.174 lr:4.2e-05 updt_s:0.087 data_s:0.006
|
| 357 |
+
Training: 27%|██████████▌ | 6760/25000 [11:53<29:12, 10.41step/s]INFO 2026-05-20 17:50:50 ot_train.py:488 step:7K smpl:433K ep:1K epch:1.61 loss:0.009 grdn:0.186 lr:4.2e-05 updt_s:0.089 data_s:0.010
|
| 358 |
+
Training: 27%|██████████▌ | 6780/25000 [11:55<30:06, 10.09step/s]INFO 2026-05-20 17:50:52 ot_train.py:488 step:7K smpl:434K ep:1K epch:1.62 loss:0.008 grdn:0.170 lr:4.2e-05 updt_s:0.091 data_s:0.008
|
| 359 |
+
Training: 27%|██████████▌ | 6800/25000 [11:57<31:03, 9.77step/s]INFO 2026-05-20 17:50:54 ot_train.py:488 step:7K smpl:435K ep:1K epch:1.62 loss:0.008 grdn:0.158 lr:4.2e-05 updt_s:0.092 data_s:0.008
|
| 360 |
+
Training: 27%|██████████▋ | 6819/25000 [11:59<31:09, 9.73step/s]INFO 2026-05-20 17:50:56 ot_train.py:488 step:7K smpl:436K ep:1K epch:1.63 loss:0.009 grdn:0.167 lr:4.2e-05 updt_s:0.093 data_s:0.006
|
| 361 |
+
Training: 27%|██████████▋ | 6839/25000 [12:01<28:20, 10.68step/s]INFO 2026-05-20 17:50:58 ot_train.py:488 step:7K smpl:438K ep:1K epch:1.63 loss:0.009 grdn:0.178 lr:4.2e-05 updt_s:0.091 data_s:0.009
|
| 362 |
+
Training: 27%|██████████▋ | 6859/25000 [12:03<31:04, 9.73step/s]INFO 2026-05-20 17:51:00 ot_train.py:488 step:7K smpl:439K ep:1K epch:1.64 loss:0.009 grdn:0.177 lr:4.1e-05 updt_s:0.090 data_s:0.008
|
| 363 |
+
Training: 28%|██████████▋ | 6879/25000 [12:05<29:01, 10.40step/s]INFO 2026-05-20 17:51:02 ot_train.py:488 step:7K smpl:440K ep:1K epch:1.64 loss:0.010 grdn:0.204 lr:4.1e-05 updt_s:0.083 data_s:0.015
|
| 364 |
+
Training: 28%|██████████▊ | 6900/25000 [12:08<32:40, 9.23step/s]INFO 2026-05-20 17:51:04 ot_train.py:488 step:7K smpl:442K ep:1K epch:1.65 loss:0.008 grdn:0.174 lr:4.1e-05 updt_s:0.091 data_s:0.011
|
| 365 |
+
Training: 28%|██████████▊ | 6920/25000 [12:10<29:45, 10.13step/s]INFO 2026-05-20 17:51:06 ot_train.py:488 step:7K smpl:443K ep:1K epch:1.65 loss:0.009 grdn:0.172 lr:4.1e-05 updt_s:0.085 data_s:0.011
|
| 366 |
+
Training: 28%|██████████▊ | 6940/25000 [12:12<27:54, 10.79step/s]INFO 2026-05-20 17:51:08 ot_train.py:488 step:7K smpl:444K ep:1K epch:1.66 loss:0.010 grdn:0.178 lr:4.1e-05 updt_s:0.087 data_s:0.012
|
| 367 |
+
Training: 28%|██████████▊ | 6960/25000 [12:14<32:20, 9.30step/s]INFO 2026-05-20 17:51:10 ot_train.py:488 step:7K smpl:445K ep:1K epch:1.66 loss:0.008 grdn:0.164 lr:4.1e-05 updt_s:0.095 data_s:0.007
|
| 368 |
+
Training: 28%|██████████▉ | 6980/25000 [12:16<32:19, 9.29step/s]INFO 2026-05-20 17:51:12 ot_train.py:488 step:7K smpl:447K ep:1K epch:1.67 loss:0.009 grdn:0.160 lr:4.1e-05 updt_s:0.090 data_s:0.012
|
| 369 |
+
Training: 28%|██████████▉ | 6999/25000 [12:17<28:48, 10.41step/s]INFO 2026-05-20 17:51:14 ot_train.py:488 step:7K smpl:448K ep:1K epch:1.67 loss:0.008 grdn:0.173 lr:4.1e-05 updt_s:0.087 data_s:0.008
|
| 370 |
+
Training: 28%|██████████▉ | 7020/25000 [12:20<27:51, 10.76step/s]INFO 2026-05-20 17:51:16 ot_train.py:488 step:7K smpl:449K ep:1K epch:1.68 loss:0.009 grdn:0.168 lr:4.1e-05 updt_s:0.090 data_s:0.010
|
| 371 |
+
Training: 28%|██████████▉ | 7040/25000 [12:22<31:48, 9.41step/s]INFO 2026-05-20 17:51:19 ot_train.py:488 step:7K smpl:451K ep:1K epch:1.68 loss:0.009 grdn:0.188 lr:4.1e-05 updt_s:0.091 data_s:0.011
|
| 372 |
+
Training: 28%|███████████ | 7060/25000 [12:24<30:56, 9.66step/s]INFO 2026-05-20 17:51:21 ot_train.py:488 step:7K smpl:452K ep:1K epch:1.69 loss:0.009 grdn:0.174 lr:4.1e-05 updt_s:0.094 data_s:0.006
|
| 373 |
+
Training: 28%|███████████ | 7080/25000 [12:26<31:17, 9.55step/s]INFO 2026-05-20 17:51:23 ot_train.py:488 step:7K smpl:453K ep:1K epch:1.69 loss:0.009 grdn:0.177 lr:4.1e-05 updt_s:0.091 data_s:0.008
|
| 374 |
+
Training: 28%|███████████ | 7100/25000 [12:28<31:21, 9.51step/s]INFO 2026-05-20 17:51:25 ot_train.py:488 step:7K smpl:454K ep:1K epch:1.70 loss:0.009 grdn:0.171 lr:4.1e-05 updt_s:0.087 data_s:0.012
|
| 375 |
+
Training: 28%|███████████ | 7120/25000 [12:30<29:42, 10.03step/s]INFO 2026-05-20 17:51:27 ot_train.py:488 step:7K smpl:456K ep:1K epch:1.70 loss:0.009 grdn:0.181 lr:4.1e-05 updt_s:0.088 data_s:0.009
|
| 376 |
+
Training: 29%|███████████▏ | 7139/25000 [12:32<28:39, 10.39step/s]INFO 2026-05-20 17:51:29 ot_train.py:488 step:7K smpl:457K ep:1K epch:1.71 loss:0.008 grdn:0.164 lr:4.1e-05 updt_s:0.090 data_s:0.011
|
| 377 |
+
Training: 29%|███████████▏ | 7159/25000 [12:34<29:49, 9.97step/s]INFO 2026-05-20 17:51:31 ot_train.py:488 step:7K smpl:458K ep:1K epch:1.71 loss:0.009 grdn:0.171 lr:4.1e-05 updt_s:0.089 data_s:0.007
|
| 378 |
+
Training: 29%|███████████▏ | 7179/25000 [12:36<27:18, 10.88step/s]INFO 2026-05-20 17:51:33 ot_train.py:488 step:7K smpl:460K ep:1K epch:1.72 loss:0.009 grdn:0.162 lr:4.1e-05 updt_s:0.091 data_s:0.008
|
| 379 |
+
Training: 29%|███████████▏ | 7199/25000 [12:38<28:32, 10.40step/s]INFO 2026-05-20 17:51:35 ot_train.py:488 step:7K smpl:461K ep:1K epch:1.72 loss:0.009 grdn:0.171 lr:4.1e-05 updt_s:0.090 data_s:0.009
|
| 380 |
+
Training: 29%|███████████▎ | 7219/25000 [12:40<31:23, 9.44step/s]INFO 2026-05-20 17:51:37 ot_train.py:488 step:7K smpl:462K ep:1K epch:1.72 loss:0.009 grdn:0.168 lr:4.1e-05 updt_s:0.092 data_s:0.006
|
| 381 |
+
Training: 29%|███████████▎ | 7239/25000 [12:42<27:35, 10.73step/s]INFO 2026-05-20 17:51:39 ot_train.py:488 step:7K smpl:463K ep:1K epch:1.73 loss:0.008 grdn:0.162 lr:4.1e-05 updt_s:0.085 data_s:0.012
|
| 382 |
+
Training: 29%|███████████▎ | 7259/25000 [12:44<30:56, 9.56step/s]INFO 2026-05-20 17:51:41 ot_train.py:488 step:7K smpl:465K ep:1K epch:1.73 loss:0.008 grdn:0.154 lr:4.0e-05 updt_s:0.095 data_s:0.009
|
| 383 |
+
Training: 29%|███████████▎ | 7279/25000 [12:46<29:04, 10.16step/s]INFO 2026-05-20 17:51:43 ot_train.py:488 step:7K smpl:466K ep:1K epch:1.74 loss:0.011 grdn:0.180 lr:4.0e-05 updt_s:0.085 data_s:0.010
|
| 384 |
+
Training: 29%|███████████▍ | 7299/25000 [12:48<31:49, 9.27step/s]INFO 2026-05-20 17:51:45 ot_train.py:488 step:7K smpl:467K ep:1K epch:1.74 loss:0.009 grdn:0.166 lr:4.0e-05 updt_s:0.090 data_s:0.010
|
| 385 |
+
Training: 29%|███████████▍ | 7320/25000 [12:50<30:13, 9.75step/s]INFO 2026-05-20 17:51:47 ot_train.py:488 step:7K smpl:468K ep:1K epch:1.75 loss:0.009 grdn:0.152 lr:4.0e-05 updt_s:0.089 data_s:0.010
|
| 386 |
+
Training: 29%|███████████▍ | 7340/25000 [12:52<28:15, 10.42step/s]INFO 2026-05-20 17:51:49 ot_train.py:488 step:7K smpl:470K ep:1K epch:1.75 loss:0.008 grdn:0.162 lr:4.0e-05 updt_s:0.092 data_s:0.009
|
| 387 |
+
Training: 29%|███████████▍ | 7360/25000 [12:54<31:14, 9.41step/s]INFO 2026-05-20 17:51:51 ot_train.py:488 step:7K smpl:471K ep:1K epch:1.76 loss:0.010 grdn:0.182 lr:4.0e-05 updt_s:0.094 data_s:0.007
|
| 388 |
+
Training: 30%|███████████▌ | 7380/25000 [12:56<29:05, 10.09step/s]INFO 2026-05-20 17:51:53 ot_train.py:488 step:7K smpl:472K ep:1K epch:1.76 loss:0.008 grdn:0.166 lr:4.0e-05 updt_s:0.089 data_s:0.008
|
| 389 |
+
Training: 30%|███████████▌ | 7400/25000 [12:58<32:54, 8.92step/s]INFO 2026-05-20 17:51:55 ot_train.py:488 step:7K smpl:474K ep:1K epch:1.77 loss:0.009 grdn:0.168 lr:4.0e-05 updt_s:0.093 data_s:0.014
|
| 390 |
+
Training: 30%|███████████▌ | 7419/25000 [13:00<26:53, 10.90step/s]INFO 2026-05-20 17:51:57 ot_train.py:488 step:7K smpl:475K ep:1K epch:1.77 loss:0.008 grdn:0.151 lr:4.0e-05 updt_s:0.092 data_s:0.006
|
| 391 |
+
Training: 30%|███████████▌ | 7439/25000 [13:02<29:52, 9.80step/s]INFO 2026-05-20 17:51:59 ot_train.py:488 step:7K smpl:476K ep:1K epch:1.78 loss:0.008 grdn:0.162 lr:4.0e-05 updt_s:0.092 data_s:0.011
|
| 392 |
+
Training: 30%|███████████▋ | 7459/25000 [13:04<31:43, 9.22step/s]INFO 2026-05-20 17:52:01 ot_train.py:488 step:7K smpl:477K ep:1K epch:1.78 loss:0.009 grdn:0.184 lr:4.0e-05 updt_s:0.093 data_s:0.009
|
| 393 |
+
Training: 30%|███████████▋ | 7479/25000 [13:06<27:56, 10.45step/s]INFO 2026-05-20 17:52:03 ot_train.py:488 step:7K smpl:479K ep:1K epch:1.79 loss:0.010 grdn:0.188 lr:4.0e-05 updt_s:0.088 data_s:0.006
|
| 394 |
+
Training: 30%|███████████▋ | 7499/25000 [13:08<29:03, 10.04step/s]INFO 2026-05-20 17:52:05 ot_train.py:488 step:8K smpl:480K ep:1K epch:1.79 loss:0.010 grdn:0.176 lr:4.0e-05 updt_s:0.092 data_s:0.010
|
| 395 |
+
Training: 30%|███████████▋ | 7520/25000 [13:10<31:03, 9.38step/s]INFO 2026-05-20 17:52:07 ot_train.py:488 step:8K smpl:481K ep:1K epch:1.80 loss:0.009 grdn:0.168 lr:4.0e-05 updt_s:0.092 data_s:0.008
|
| 396 |
+
Training: 30%|███████████▊ | 7539/25000 [13:12<27:09, 10.71step/s]INFO 2026-05-20 17:52:09 ot_train.py:488 step:8K smpl:483K ep:1K epch:1.80 loss:0.009 grdn:0.160 lr:4.0e-05 updt_s:0.084 data_s:0.013
|
| 397 |
+
Training: 30%|███████████▊ | 7560/25000 [13:14<30:07, 9.65step/s]INFO 2026-05-20 17:52:11 ot_train.py:488 step:8K smpl:484K ep:1K epch:1.81 loss:0.009 grdn:0.185 lr:4.0e-05 updt_s:0.093 data_s:0.011
|
| 398 |
+
Training: 30%|███████████▊ | 7579/25000 [13:16<29:35, 9.81step/s]INFO 2026-05-20 17:52:13 ot_train.py:488 step:8K smpl:485K ep:1K epch:1.81 loss:0.009 grdn:0.167 lr:4.0e-05 updt_s:0.090 data_s:0.009
|
| 399 |
+
Training: 30%|███████████▊ | 7599/25000 [13:18<31:12, 9.29step/s]INFO 2026-05-20 17:52:15 ot_train.py:488 step:8K smpl:486K ep:1K epch:1.82 loss:0.009 grdn:0.163 lr:4.0e-05 updt_s:0.093 data_s:0.006
|
| 400 |
+
Training: 30%|███████████▉ | 7619/25000 [13:20<27:17, 10.61step/s]INFO 2026-05-20 17:52:17 ot_train.py:488 step:8K smpl:488K ep:1K epch:1.82 loss:0.008 grdn:0.151 lr:4.0e-05 updt_s:0.088 data_s:0.011
|
| 401 |
+
Training: 31%|███████████▉ | 7639/25000 [13:22<27:47, 10.41step/s]INFO 2026-05-20 17:52:19 ot_train.py:488 step:8K smpl:489K ep:1K epch:1.83 loss:0.010 grdn:0.175 lr:4.0e-05 updt_s:0.086 data_s:0.010
|
| 402 |
+
Training: 31%|███████████▉ | 7660/25000 [13:24<28:54, 10.00step/s]INFO 2026-05-20 17:52:21 ot_train.py:488 step:8K smpl:490K ep:1K epch:1.83 loss:0.009 grdn:0.194 lr:3.9e-05 updt_s:0.094 data_s:0.008
|
| 403 |
+
Training: 31%|███████████▉ | 7680/25000 [13:26<31:17, 9.22step/s]INFO 2026-05-20 17:52:23 ot_train.py:488 step:8K smpl:492K ep:1K epch:1.83 loss:0.008 grdn:0.167 lr:3.9e-05 updt_s:0.092 data_s:0.008
|
| 404 |
+
Training: 31%|████████████ | 7699/25000 [13:28<29:55, 9.64step/s]INFO 2026-05-20 17:52:25 ot_train.py:488 step:8K smpl:493K ep:1K epch:1.84 loss:0.009 grdn:0.172 lr:3.9e-05 updt_s:0.086 data_s:0.010
|
| 405 |
+
Training: 31%|████████████ | 7719/25000 [13:30<28:46, 10.01step/s]INFO 2026-05-20 17:52:27 ot_train.py:488 step:8K smpl:494K ep:1K epch:1.84 loss:0.008 grdn:0.162 lr:3.9e-05 updt_s:0.093 data_s:0.011
|
| 406 |
+
Training: 31%|████████████ | 7739/25000 [13:32<27:44, 10.37step/s]INFO 2026-05-20 17:52:29 ot_train.py:488 step:8K smpl:495K ep:1K epch:1.85 loss:0.009 grdn:0.184 lr:3.9e-05 updt_s:0.087 data_s:0.008
|
| 407 |
+
Training: 31%|████████████ | 7760/25000 [13:34<30:51, 9.31step/s]INFO 2026-05-20 17:52:31 ot_train.py:488 step:8K smpl:497K ep:1K epch:1.85 loss:0.010 grdn:0.171 lr:3.9e-05 updt_s:0.096 data_s:0.008
|
| 408 |
+
Training: 31%|████████████▏ | 7780/25000 [13:36<26:57, 10.64step/s]INFO 2026-05-20 17:52:33 ot_train.py:488 step:8K smpl:498K ep:1K epch:1.86 loss:0.009 grdn:0.176 lr:3.9e-05 updt_s:0.088 data_s:0.008
|
| 409 |
+
Training: 31%|████████████▏ | 7800/25000 [13:38<31:25, 9.12step/s]INFO 2026-05-20 17:52:35 ot_train.py:488 step:8K smpl:499K ep:1K epch:1.86 loss:0.009 grdn:0.162 lr:3.9e-05 updt_s:0.093 data_s:0.006
|
| 410 |
+
Training: 31%|████████████▏ | 7820/25000 [13:40<29:27, 9.72step/s]INFO 2026-05-20 17:52:37 ot_train.py:488 step:8K smpl:500K ep:1K epch:1.87 loss:0.009 grdn:0.167 lr:3.9e-05 updt_s:0.090 data_s:0.008
|
| 411 |
+
Training: 31%|████████████▏ | 7839/25000 [13:42<29:50, 9.58step/s]INFO 2026-05-20 17:52:39 ot_train.py:488 step:8K smpl:502K ep:1K epch:1.87 loss:0.008 grdn:0.167 lr:3.9e-05 updt_s:0.091 data_s:0.010
|
| 412 |
+
Training: 31%|████████████▎ | 7859/25000 [13:44<27:33, 10.36step/s]INFO 2026-05-20 17:52:41 ot_train.py:488 step:8K smpl:503K ep:1K epch:1.88 loss:0.009 grdn:0.186 lr:3.9e-05 updt_s:0.085 data_s:0.010
|
| 413 |
+
Training: 32%|████████████▎ | 7880/25000 [13:46<29:16, 9.75step/s]INFO 2026-05-20 17:52:43 ot_train.py:488 step:8K smpl:504K ep:1K epch:1.88 loss:0.008 grdn:0.159 lr:3.9e-05 updt_s:0.095 data_s:0.007
|
| 414 |
+
Training: 32%|████████████▎ | 7899/25000 [13:48<29:41, 9.60step/s]INFO 2026-05-20 17:52:45 ot_train.py:488 step:8K smpl:506K ep:1K epch:1.89 loss:0.009 grdn:0.187 lr:3.9e-05 updt_s:0.090 data_s:0.008
|
| 415 |
+
Training: 32%|████████████▎ | 7919/25000 [13:50<25:03, 11.36step/s]INFO 2026-05-20 17:52:47 ot_train.py:488 step:8K smpl:507K ep:1K epch:1.89 loss:0.009 grdn:0.183 lr:3.9e-05 updt_s:0.088 data_s:0.008
|
| 416 |
+
Training: 32%|████████████▍ | 7940/25000 [13:52<28:34, 9.95step/s]INFO 2026-05-20 17:52:49 ot_train.py:488 step:8K smpl:508K ep:1K epch:1.90 loss:0.008 grdn:0.172 lr:3.9e-05 updt_s:0.091 data_s:0.009
|
| 417 |
+
Training: 32%|████████████▍ | 7960/25000 [13:54<29:44, 9.55step/s]INFO 2026-05-20 17:52:51 ot_train.py:488 step:8K smpl:509K ep:1K epch:1.90 loss:0.009 grdn:0.166 lr:3.9e-05 updt_s:0.088 data_s:0.011
|
| 418 |
+
Training: 32%|████████████▍ | 7979/25000 [13:56<26:35, 10.67step/s]INFO 2026-05-20 17:52:53 ot_train.py:488 step:8K smpl:511K ep:1K epch:1.91 loss:0.008 grdn:0.159 lr:3.9e-05 updt_s:0.091 data_s:0.008
|
| 419 |
+
Training: 32%|████████████▍ | 7999/25000 [13:58<30:41, 9.23step/s]INFO 2026-05-20 17:52:55 ot_train.py:488 step:8K smpl:512K ep:1K epch:1.91 loss:0.009 grdn:0.169 lr:3.9e-05 updt_s:0.086 data_s:0.016
|
| 420 |
+
INFO 2026-05-20 17:52:55 ot_train.py:502 Checkpoint policy after step 8000
|
| 421 |
+
Training: 32%|████████████▌ | 8019/25000 [14:09<40:50, 6.93step/s]INFO 2026-05-20 17:53:05 ot_train.py:488 step:8K smpl:513K ep:1K epch:1.92 loss:0.008 grdn:0.153 lr:3.9e-05 updt_s:0.074 data_s:0.008
|
| 422 |
+
Training: 32%|████████████▌ | 8040/25000 [14:11<28:35, 9.89step/s]INFO 2026-05-20 17:53:08 ot_train.py:488 step:8K smpl:515K ep:1K epch:1.92 loss:0.008 grdn:0.166 lr:3.8e-05 updt_s:0.093 data_s:0.008
|
| 423 |
+
Training: 32%|████████████▌ | 8060/25000 [14:13<27:16, 10.35step/s]INFO 2026-05-20 17:53:10 ot_train.py:488 step:8K smpl:516K ep:1K epch:1.93 loss:0.008 grdn:0.153 lr:3.8e-05 updt_s:0.092 data_s:0.008
|
| 424 |
+
Training: 32%|████████████▌ | 8080/25000 [14:15<30:28, 9.25step/s]INFO 2026-05-20 17:53:12 ot_train.py:488 step:8K smpl:517K ep:1K epch:1.93 loss:0.009 grdn:0.172 lr:3.8e-05 updt_s:0.094 data_s:0.007
|
| 425 |
+
Training: 32%|████████████▋ | 8100/25000 [14:17<27:48, 10.13step/s]INFO 2026-05-20 17:53:14 ot_train.py:488 step:8K smpl:518K ep:1K epch:1.94 loss:0.009 grdn:0.160 lr:3.8e-05 updt_s:0.087 data_s:0.008
|
| 426 |
+
Training: 32%|████████████▋ | 8120/25000 [14:19<29:05, 9.67step/s]INFO 2026-05-20 17:53:16 ot_train.py:488 step:8K smpl:520K ep:1K epch:1.94 loss:0.009 grdn:0.181 lr:3.8e-05 updt_s:0.092 data_s:0.007
|
| 427 |
+
Training: 33%|████████████▋ | 8140/25000 [14:21<26:48, 10.48step/s]INFO 2026-05-20 17:53:17 ot_train.py:488 step:8K smpl:521K ep:1K epch:1.94 loss:0.009 grdn:0.173 lr:3.8e-05 updt_s:0.084 data_s:0.008
|
| 428 |
+
Training: 33%|████████████▋ | 8160/25000 [14:23<29:13, 9.60step/s]INFO 2026-05-20 17:53:19 ot_train.py:488 step:8K smpl:522K ep:1K epch:1.95 loss:0.008 grdn:0.164 lr:3.8e-05 updt_s:0.096 data_s:0.006
|
| 429 |
+
Training: 33%|████████████▊ | 8179/25000 [14:25<26:53, 10.43step/s]INFO 2026-05-20 17:53:21 ot_train.py:488 step:8K smpl:524K ep:1K epch:1.95 loss:0.007 grdn:0.150 lr:3.8e-05 updt_s:0.080 data_s:0.020
|
| 430 |
+
Training: 33%|████████████▊ | 8199/25000 [14:26<20:14, 13.83step/s]INFO 2026-05-20 17:53:23 ot_train.py:488 step:8K smpl:525K ep:1K epch:1.96 loss:0.009 grdn:0.178 lr:3.8e-05 updt_s:0.066 data_s:0.005
|
| 431 |
+
Training: 33%|████████████▊ | 8219/25000 [14:27<20:03, 13.94step/s]INFO 2026-05-20 17:53:24 ot_train.py:488 step:8K smpl:526K ep:1K epch:1.96 loss:0.009 grdn:0.188 lr:3.8e-05 updt_s:0.067 data_s:0.005
|
| 432 |
+
Training: 33%|████████████▏ | 8240/25000 [14:31<1:20:25, 3.47step/s]INFO 2026-05-20 17:53:28 ot_train.py:488 step:8K smpl:527K ep:1K epch:1.97 loss:0.009 grdn:0.189 lr:3.8e-05 updt_s:0.071 data_s:0.121
|
| 433 |
+
Training: 33%|████████████▉ | 8260/25000 [14:34<34:03, 8.19step/s]INFO 2026-05-20 17:53:30 ot_train.py:488 step:8K smpl:529K ep:1K epch:1.97 loss:0.010 grdn:0.195 lr:3.8e-05 updt_s:0.096 data_s:0.009
|
| 434 |
+
Training: 33%|████████████▉ | 8280/25000 [14:36<33:32, 8.31step/s]INFO 2026-05-20 17:53:33 ot_train.py:488 step:8K smpl:530K ep:1K epch:1.98 loss:0.009 grdn:0.181 lr:3.8e-05 updt_s:0.103 data_s:0.007
|
| 435 |
+
Training: 33%|████████████▉ | 8299/25000 [14:38<27:39, 10.07step/s]INFO 2026-05-20 17:53:35 ot_train.py:488 step:8K smpl:531K ep:1K epch:1.98 loss:0.009 grdn:0.168 lr:3.8e-05 updt_s:0.091 data_s:0.008
|
| 436 |
+
Training: 33%|████████████▉ | 8319/25000 [14:40<31:22, 8.86step/s]INFO 2026-05-20 17:53:37 ot_train.py:488 step:8K smpl:532K ep:1K epch:1.99 loss:0.009 grdn:0.176 lr:3.8e-05 updt_s:0.098 data_s:0.006
|
| 437 |
+
Training: 33%|█████████████ | 8340/25000 [14:42<26:57, 10.30step/s]INFO 2026-05-20 17:53:39 ot_train.py:488 step:8K smpl:534K ep:1K epch:1.99 loss:0.009 grdn:0.152 lr:3.8e-05 updt_s:0.094 data_s:0.011
|
| 438 |
+
Training: 33%|█████████████ | 8359/25000 [14:44<27:22, 10.13step/s]INFO 2026-05-20 17:53:41 ot_train.py:488 step:8K smpl:535K ep:1K epch:2.00 loss:0.008 grdn:0.148 lr:3.8e-05 updt_s:0.098 data_s:0.007
|
| 439 |
+
Training: 34%|█████████████ | 8380/25000 [14:46<31:01, 8.93step/s]INFO 2026-05-20 17:53:43 ot_train.py:488 step:8K smpl:536K ep:1K epch:2.00 loss:0.008 grdn:0.165 lr:3.8e-05 updt_s:0.097 data_s:0.012
|
| 440 |
+
Training: 34%|█████████████ | 8400/25000 [14:49<32:19, 8.56step/s]INFO 2026-05-20 17:53:45 ot_train.py:488 step:8K smpl:538K ep:1K epch:2.01 loss:0.009 grdn:0.171 lr:3.8e-05 updt_s:0.098 data_s:0.006
|
| 441 |
+
Training: 34%|█████████████▏ | 8420/25000 [14:51<32:27, 8.51step/s]INFO 2026-05-20 17:53:48 ot_train.py:488 step:8K smpl:539K ep:1K epch:2.01 loss:0.009 grdn:0.174 lr:3.7e-05 updt_s:0.100 data_s:0.008
|
| 442 |
+
Training: 34%|█████████████▏ | 8439/25000 [14:53<29:24, 9.38step/s]INFO 2026-05-20 17:53:50 ot_train.py:488 step:8K smpl:540K ep:1K epch:2.02 loss:0.010 grdn:0.195 lr:3.7e-05 updt_s:0.096 data_s:0.008
|
| 443 |
+
Training: 34%|█████████████▏ | 8460/25000 [14:55<28:44, 9.59step/s]INFO 2026-05-20 17:53:52 ot_train.py:488 step:8K smpl:541K ep:1K epch:2.02 loss:0.010 grdn:0.184 lr:3.7e-05 updt_s:0.094 data_s:0.008
|
| 444 |
+
Training: 34%|█████████████▏ | 8479/25000 [14:57<26:21, 10.45step/s]INFO 2026-05-20 17:53:54 ot_train.py:488 step:8K smpl:543K ep:1K epch:2.03 loss:0.010 grdn:0.159 lr:3.7e-05 updt_s:0.091 data_s:0.008
|
| 445 |
+
Training: 34%|█████████████▎ | 8500/25000 [14:59<29:00, 9.48step/s]INFO 2026-05-20 17:53:56 ot_train.py:488 step:8K smpl:544K ep:1K epch:2.03 loss:0.009 grdn:0.171 lr:3.7e-05 updt_s:0.092 data_s:0.008
|
| 446 |
+
Training: 34%|█████████████▎ | 8520/25000 [15:01<26:47, 10.25step/s]INFO 2026-05-20 17:53:58 ot_train.py:488 step:9K smpl:545K ep:1K epch:2.04 loss:0.008 grdn:0.156 lr:3.7e-05 updt_s:0.088 data_s:0.009
|
| 447 |
+
Training: 34%|█████████████▎ | 8540/25000 [15:03<25:45, 10.65step/s]INFO 2026-05-20 17:54:00 ot_train.py:488 step:9K smpl:547K ep:1K epch:2.04 loss:0.007 grdn:0.140 lr:3.7e-05 updt_s:0.091 data_s:0.008
|
| 448 |
+
Training: 34%|█████████████▎ | 8560/25000 [15:05<28:24, 9.64step/s]INFO 2026-05-20 17:54:02 ot_train.py:488 step:9K smpl:548K ep:1K epch:2.04 loss:0.009 grdn:0.159 lr:3.7e-05 updt_s:0.090 data_s:0.010
|
| 449 |
+
Training: 34%|█████████████▍ | 8580/25000 [15:07<26:36, 10.28step/s]INFO 2026-05-20 17:54:04 ot_train.py:488 step:9K smpl:549K ep:1K epch:2.05 loss:0.009 grdn:0.184 lr:3.7e-05 updt_s:0.086 data_s:0.011
|
| 450 |
+
Training: 34%|█████████████▍ | 8600/25000 [15:09<27:42, 9.87step/s]INFO 2026-05-20 17:54:06 ot_train.py:488 step:9K smpl:550K ep:1K epch:2.05 loss:0.009 grdn:0.181 lr:3.7e-05 updt_s:0.085 data_s:0.013
|
| 451 |
+
Training: 34%|█████████████▍ | 8620/25000 [15:11<27:05, 10.07step/s]INFO 2026-05-20 17:54:08 ot_train.py:488 step:9K smpl:552K ep:1K epch:2.06 loss:0.009 grdn:0.168 lr:3.7e-05 updt_s:0.088 data_s:0.010
|
| 452 |
+
Training: 35%|█████████████▍ | 8640/25000 [15:13<26:37, 10.24step/s]INFO 2026-05-20 17:54:10 ot_train.py:488 step:9K smpl:553K ep:1K epch:2.06 loss:0.010 grdn:0.163 lr:3.7e-05 updt_s:0.090 data_s:0.006
|
| 453 |
+
Training: 35%|█████████████▌ | 8659/25000 [15:15<26:38, 10.22step/s]INFO 2026-05-20 17:54:12 ot_train.py:488 step:9K smpl:554K ep:1K epch:2.07 loss:0.008 grdn:0.148 lr:3.7e-05 updt_s:0.089 data_s:0.009
|
| 454 |
+
Training: 35%|█████████████▌ | 8679/25000 [15:17<29:25, 9.24step/s]INFO 2026-05-20 17:54:14 ot_train.py:488 step:9K smpl:556K ep:1K epch:2.07 loss:0.009 grdn:0.162 lr:3.7e-05 updt_s:0.092 data_s:0.006
|
| 455 |
+
Training: 35%|█████████████▌ | 8699/25000 [15:19<26:44, 10.16step/s]INFO 2026-05-20 17:54:16 ot_train.py:488 step:9K smpl:557K ep:1K epch:2.08 loss:0.008 grdn:0.157 lr:3.7e-05 updt_s:0.088 data_s:0.007
|
| 456 |
+
Training: 35%|█████████████▌ | 8719/25000 [15:21<26:28, 10.25step/s]INFO 2026-05-20 17:54:18 ot_train.py:488 step:9K smpl:558K ep:1K epch:2.08 loss:0.010 grdn:0.186 lr:3.7e-05 updt_s:0.090 data_s:0.009
|
| 457 |
+
Training: 35%|█████████████▋ | 8740/25000 [15:23<25:47, 10.51step/s]INFO 2026-05-20 17:54:20 ot_train.py:488 step:9K smpl:559K ep:1K epch:2.09 loss:0.008 grdn:0.176 lr:3.7e-05 updt_s:0.090 data_s:0.009
|
| 458 |
+
Training: 35%|█████████████▋ | 8760/25000 [15:25<26:05, 10.37step/s]INFO 2026-05-20 17:54:21 ot_train.py:488 step:9K smpl:561K ep:1K epch:2.09 loss:0.009 grdn:0.199 lr:3.7e-05 updt_s:0.087 data_s:0.006
|
| 459 |
+
Training: 35%|█████████████▋ | 8780/25000 [15:27<24:05, 11.22step/s]INFO 2026-05-20 17:54:23 ot_train.py:488 step:9K smpl:562K ep:1K epch:2.10 loss:0.009 grdn:0.167 lr:3.6e-05 updt_s:0.086 data_s:0.008
|
| 460 |
+
Training: 35%|█████████████▋ | 8800/25000 [15:29<26:05, 10.35step/s]INFO 2026-05-20 17:54:25 ot_train.py:488 step:9K smpl:563K ep:1K epch:2.10 loss:0.009 grdn:0.165 lr:3.6e-05 updt_s:0.097 data_s:0.008
|
| 461 |
+
Training: 35%|█████████████▊ | 8820/25000 [15:31<28:07, 9.59step/s]INFO 2026-05-20 17:54:27 ot_train.py:488 step:9K smpl:564K ep:1K epch:2.11 loss:0.008 grdn:0.151 lr:3.6e-05 updt_s:0.084 data_s:0.015
|
| 462 |
+
Training: 35%|█████████████▊ | 8840/25000 [15:33<24:40, 10.91step/s]INFO 2026-05-20 17:54:29 ot_train.py:488 step:9K smpl:566K ep:1K epch:2.11 loss:0.009 grdn:0.177 lr:3.6e-05 updt_s:0.086 data_s:0.008
|
| 463 |
+
Training: 35%|█████████████▊ | 8859/25000 [15:34<25:45, 10.45step/s]INFO 2026-05-20 17:54:31 ot_train.py:488 step:9K smpl:567K ep:1K epch:2.12 loss:0.009 grdn:0.158 lr:3.6e-05 updt_s:0.093 data_s:0.007
|
| 464 |
+
Training: 36%|█████████████▊ | 8879/25000 [15:36<23:32, 11.42step/s]INFO 2026-05-20 17:54:33 ot_train.py:488 step:9K smpl:568K ep:1K epch:2.12 loss:0.009 grdn:0.167 lr:3.6e-05 updt_s:0.082 data_s:0.009
|
| 465 |
+
Training: 36%|█████████████▉ | 8900/25000 [15:38<25:50, 10.38step/s]INFO 2026-05-20 17:54:35 ot_train.py:488 step:9K smpl:570K ep:1K epch:2.13 loss:0.009 grdn:0.166 lr:3.6e-05 updt_s:0.092 data_s:0.008
|
| 466 |
+
Training: 36%|█████████████▉ | 8920/25000 [15:40<28:28, 9.41step/s]INFO 2026-05-20 17:54:37 ot_train.py:488 step:9K smpl:571K ep:1K epch:2.13 loss:0.009 grdn:0.160 lr:3.6e-05 updt_s:0.088 data_s:0.008
|
| 467 |
+
Training: 36%|█████████████▉ | 8939/25000 [15:42<25:24, 10.53step/s]INFO 2026-05-20 17:54:39 ot_train.py:488 step:9K smpl:572K ep:1K epch:2.14 loss:0.008 grdn:0.167 lr:3.6e-05 updt_s:0.089 data_s:0.007
|
| 468 |
+
Training: 36%|█████████████▉ | 8959/25000 [15:44<27:47, 9.62step/s]INFO 2026-05-20 17:54:41 ot_train.py:488 step:9K smpl:573K ep:1K epch:2.14 loss:0.009 grdn:0.158 lr:3.6e-05 updt_s:0.090 data_s:0.011
|
| 469 |
+
Training: 36%|██████████████ | 8979/25000 [15:46<25:33, 10.45step/s]INFO 2026-05-20 17:54:43 ot_train.py:488 step:9K smpl:575K ep:1K epch:2.15 loss:0.008 grdn:0.161 lr:3.6e-05 updt_s:0.089 data_s:0.007
|
| 470 |
+
Training: 36%|██████████████ | 9000/25000 [15:48<26:10, 10.19step/s]INFO 2026-05-20 17:54:45 ot_train.py:488 step:9K smpl:576K ep:1K epch:2.15 loss:0.009 grdn:0.167 lr:3.6e-05 updt_s:0.094 data_s:0.006
|
| 471 |
+
Training: 36%|██████████████ | 9020/25000 [15:50<25:30, 10.44step/s]INFO 2026-05-20 17:54:47 ot_train.py:488 step:9K smpl:577K ep:1K epch:2.15 loss:0.009 grdn:0.166 lr:3.6e-05 updt_s:0.085 data_s:0.011
|
| 472 |
+
Training: 36%|██████████████ | 9040/25000 [15:52<25:05, 10.60step/s]INFO 2026-05-20 17:54:49 ot_train.py:488 step:9K smpl:579K ep:1K epch:2.16 loss:0.009 grdn:0.165 lr:3.6e-05 updt_s:0.093 data_s:0.007
|
| 473 |
+
Training: 36%|██████████████▏ | 9060/25000 [15:54<25:55, 10.25step/s]INFO 2026-05-20 17:54:51 ot_train.py:488 step:9K smpl:580K ep:1K epch:2.16 loss:0.009 grdn:0.186 lr:3.6e-05 updt_s:0.089 data_s:0.008
|
| 474 |
+
Training: 36%|██████████████▏ | 9080/25000 [15:56<26:13, 10.12step/s]INFO 2026-05-20 17:54:53 ot_train.py:488 step:9K smpl:581K ep:1K epch:2.17 loss:0.008 grdn:0.162 lr:3.6e-05 updt_s:0.088 data_s:0.007
|
| 475 |
+
Training: 36%|██████████████▏ | 9100/25000 [15:58<26:16, 10.09step/s]INFO 2026-05-20 17:54:55 ot_train.py:488 step:9K smpl:582K ep:1K epch:2.17 loss:0.009 grdn:0.171 lr:3.6e-05 updt_s:0.091 data_s:0.009
|
| 476 |
+
Training: 36%|██████████████▏ | 9120/25000 [16:00<27:33, 9.60step/s]INFO 2026-05-20 17:54:57 ot_train.py:488 step:9K smpl:584K ep:1K epch:2.18 loss:0.009 grdn:0.156 lr:3.6e-05 updt_s:0.089 data_s:0.007
|
| 477 |
+
Training: 37%|██████████████▎ | 9140/25000 [16:02<26:17, 10.05step/s]INFO 2026-05-20 17:54:59 ot_train.py:488 step:9K smpl:585K ep:1K epch:2.18 loss:0.008 grdn:0.156 lr:3.5e-05 updt_s:0.092 data_s:0.010
|
| 478 |
+
Training: 37%|██████████████▎ | 9159/25000 [16:04<26:34, 9.94step/s]INFO 2026-05-20 17:55:01 ot_train.py:488 step:9K smpl:586K ep:1K epch:2.19 loss:0.008 grdn:0.167 lr:3.5e-05 updt_s:0.088 data_s:0.009
|
| 479 |
+
Training: 37%|██████████████▎ | 9179/25000 [16:06<25:07, 10.49step/s]INFO 2026-05-20 17:55:03 ot_train.py:488 step:9K smpl:588K ep:1K epch:2.19 loss:0.008 grdn:0.182 lr:3.5e-05 updt_s:0.089 data_s:0.006
|
| 480 |
+
Training: 37%|██████████████▎ | 9199/25000 [16:08<25:28, 10.34step/s]INFO 2026-05-20 17:55:05 ot_train.py:488 step:9K smpl:589K ep:1K epch:2.20 loss:0.009 grdn:0.185 lr:3.5e-05 updt_s:0.088 data_s:0.009
|
| 481 |
+
Training: 37%|██████████████▍ | 9219/25000 [16:10<26:07, 10.07step/s]INFO 2026-05-20 17:55:07 ot_train.py:488 step:9K smpl:590K ep:1K epch:2.20 loss:0.008 grdn:0.170 lr:3.5e-05 updt_s:0.092 data_s:0.008
|
| 482 |
+
Training: 37%|██████████████▍ | 9240/25000 [16:12<24:55, 10.54step/s]INFO 2026-05-20 17:55:09 ot_train.py:488 step:9K smpl:591K ep:1K epch:2.21 loss:0.010 grdn:0.192 lr:3.5e-05 updt_s:0.085 data_s:0.012
|
| 483 |
+
Training: 37%|██████████████▍ | 9260/25000 [16:14<27:22, 9.59step/s]INFO 2026-05-20 17:55:11 ot_train.py:488 step:9K smpl:593K ep:1K epch:2.21 loss:0.009 grdn:0.173 lr:3.5e-05 updt_s:0.092 data_s:0.009
|
| 484 |
+
Training: 37%|██████████████▍ | 9280/25000 [16:16<25:40, 10.20step/s]INFO 2026-05-20 17:55:13 ot_train.py:488 step:9K smpl:594K ep:1K epch:2.22 loss:0.009 grdn:0.177 lr:3.5e-05 updt_s:0.089 data_s:0.006
|
| 485 |
+
Training: 37%|██████████████▌ | 9299/25000 [16:18<24:37, 10.62step/s]INFO 2026-05-20 17:55:15 ot_train.py:488 step:9K smpl:595K ep:1K epch:2.22 loss:0.009 grdn:0.164 lr:3.5e-05 updt_s:0.091 data_s:0.007
|
| 486 |
+
Training: 37%|██████████████▌ | 9320/25000 [16:20<25:46, 10.14step/s]INFO 2026-05-20 17:55:17 ot_train.py:488 step:9K smpl:596K ep:1K epch:2.23 loss:0.009 grdn:0.161 lr:3.5e-05 updt_s:0.094 data_s:0.007
|
| 487 |
+
Training: 37%|██████████████▌ | 9340/25000 [16:22<25:21, 10.29step/s]INFO 2026-05-20 17:55:19 ot_train.py:488 step:9K smpl:598K ep:1K epch:2.23 loss:0.009 grdn:0.177 lr:3.5e-05 updt_s:0.090 data_s:0.009
|
| 488 |
+
Training: 37%|██████████████▌ | 9360/25000 [16:24<27:05, 9.62step/s]INFO 2026-05-20 17:55:21 ot_train.py:488 step:9K smpl:599K ep:1K epch:2.24 loss:0.008 grdn:0.165 lr:3.5e-05 updt_s:0.090 data_s:0.009
|
| 489 |
+
Training: 38%|██████████████▋ | 9379/25000 [16:26<26:04, 9.98step/s]INFO 2026-05-20 17:55:23 ot_train.py:488 step:9K smpl:600K ep:1K epch:2.24 loss:0.008 grdn:0.171 lr:3.5e-05 updt_s:0.082 data_s:0.014
|
| 490 |
+
Training: 38%|██████████████▋ | 9399/25000 [16:28<27:25, 9.48step/s]INFO 2026-05-20 17:55:25 ot_train.py:488 step:9K smpl:602K ep:1K epch:2.25 loss:0.009 grdn:0.174 lr:3.5e-05 updt_s:0.089 data_s:0.010
|
| 491 |
+
Training: 38%|██████████████▋ | 9419/25000 [16:30<25:32, 10.17step/s]INFO 2026-05-20 17:55:27 ot_train.py:488 step:9K smpl:603K ep:1K epch:2.25 loss:0.009 grdn:0.171 lr:3.5e-05 updt_s:0.085 data_s:0.010
|
| 492 |
+
Training: 38%|██████████████▋ | 9439/25000 [16:32<25:14, 10.28step/s]INFO 2026-05-20 17:55:29 ot_train.py:488 step:9K smpl:604K ep:1K epch:2.26 loss:0.009 grdn:0.171 lr:3.5e-05 updt_s:0.088 data_s:0.013
|
| 493 |
+
Training: 38%|██████████████▊ | 9460/25000 [16:34<26:22, 9.82step/s]INFO 2026-05-20 17:55:31 ot_train.py:488 step:9K smpl:605K ep:1K epch:2.26 loss:0.009 grdn:0.175 lr:3.5e-05 updt_s:0.090 data_s:0.008
|
| 494 |
+
Training: 38%|██████████████▊ | 9479/25000 [16:36<25:08, 10.29step/s]INFO 2026-05-20 17:55:33 ot_train.py:488 step:9K smpl:607K ep:1K epch:2.26 loss:0.009 grdn:0.175 lr:3.4e-05 updt_s:0.091 data_s:0.007
|
| 495 |
+
Training: 38%|██████████████▊ | 9499/25000 [16:38<25:38, 10.07step/s]INFO 2026-05-20 17:55:35 ot_train.py:488 step:10K smpl:608K ep:1K epch:2.27 loss:0.009 grdn:0.160 lr:3.4e-05 updt_s:0.096 data_s:0.006
|
| 496 |
+
Training: 38%|██████████████▊ | 9520/25000 [16:40<24:21, 10.59step/s]INFO 2026-05-20 17:55:37 ot_train.py:488 step:10K smpl:609K ep:1K epch:2.27 loss:0.008 grdn:0.163 lr:3.4e-05 updt_s:0.090 data_s:0.006
|
| 497 |
+
Training: 38%|██████████████▉ | 9539/25000 [16:42<26:14, 9.82step/s]INFO 2026-05-20 17:55:39 ot_train.py:488 step:10K smpl:611K ep:1K epch:2.28 loss:0.008 grdn:0.155 lr:3.4e-05 updt_s:0.090 data_s:0.011
|
| 498 |
+
Training: 38%|██████████████▉ | 9559/25000 [16:44<26:03, 9.88step/s]INFO 2026-05-20 17:55:41 ot_train.py:488 step:10K smpl:612K ep:1K epch:2.28 loss:0.008 grdn:0.150 lr:3.4e-05 updt_s:0.091 data_s:0.008
|
| 499 |
+
Training: 38%|██████████████▉ | 9580/25000 [16:46<24:44, 10.39step/s]INFO 2026-05-20 17:55:43 ot_train.py:488 step:10K smpl:613K ep:1K epch:2.29 loss:0.009 grdn:0.170 lr:3.4e-05 updt_s:0.089 data_s:0.012
|
| 500 |
+
Training: 38%|████████████��█▉ | 9600/25000 [16:48<27:23, 9.37step/s]INFO 2026-05-20 17:55:45 ot_train.py:488 step:10K smpl:614K ep:1K epch:2.29 loss:0.009 grdn:0.178 lr:3.4e-05 updt_s:0.091 data_s:0.009
|
| 501 |
+
Training: 38%|███████████████ | 9619/25000 [16:50<25:27, 10.07step/s]INFO 2026-05-20 17:55:47 ot_train.py:488 step:10K smpl:616K ep:1K epch:2.30 loss:0.009 grdn:0.172 lr:3.4e-05 updt_s:0.088 data_s:0.011
|
| 502 |
+
Training: 39%|███████████████ | 9640/25000 [16:52<26:12, 9.77step/s]INFO 2026-05-20 17:55:49 ot_train.py:488 step:10K smpl:617K ep:1K epch:2.30 loss:0.008 grdn:0.164 lr:3.4e-05 updt_s:0.095 data_s:0.011
|
| 503 |
+
Training: 39%|███████████████ | 9659/25000 [16:54<26:58, 9.48step/s]INFO 2026-05-20 17:55:51 ot_train.py:488 step:10K smpl:618K ep:1K epch:2.31 loss:0.008 grdn:0.173 lr:3.4e-05 updt_s:0.095 data_s:0.006
|
| 504 |
+
Training: 39%|███████████████ | 9680/25000 [16:56<27:18, 9.35step/s]INFO 2026-05-20 17:55:53 ot_train.py:488 step:10K smpl:620K ep:1K epch:2.31 loss:0.008 grdn:0.165 lr:3.4e-05 updt_s:0.094 data_s:0.012
|
| 505 |
+
Training: 39%|███████████████▏ | 9700/25000 [16:59<29:16, 8.71step/s]INFO 2026-05-20 17:55:55 ot_train.py:488 step:10K smpl:621K ep:1K epch:2.32 loss:0.009 grdn:0.183 lr:3.4e-05 updt_s:0.099 data_s:0.008
|
| 506 |
+
Training: 39%|███████████████▏ | 9720/25000 [17:01<26:10, 9.73step/s]INFO 2026-05-20 17:55:57 ot_train.py:488 step:10K smpl:622K ep:1K epch:2.32 loss:0.009 grdn:0.179 lr:3.4e-05 updt_s:0.089 data_s:0.010
|
| 507 |
+
Training: 39%|███████████████▏ | 9736/25000 [17:02<24:27, 10.40step/s]
|
checkpoints/dagger/1iter/wandb/run-20260520_173853-ql0pvhal/logs/debug-internal.log
CHANGED
|
@@ -51,3 +51,95 @@
|
|
| 51 |
{"time":"2026-05-20T17:44:09.965260526Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 52 |
{"time":"2026-05-20T17:44:24.716640948Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":146,"history_lines":8,"events_offset":41,"events_lines":2,"console_offset":164,"console_lines":9}
|
| 53 |
{"time":"2026-05-20T17:44:24.979011599Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
{"time":"2026-05-20T17:44:09.965260526Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 52 |
{"time":"2026-05-20T17:44:24.716640948Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":146,"history_lines":8,"events_offset":41,"events_lines":2,"console_offset":164,"console_lines":9}
|
| 53 |
{"time":"2026-05-20T17:44:24.979011599Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 54 |
+
{"time":"2026-05-20T17:44:39.716902318Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":154,"history_lines":7,"events_offset":43,"events_lines":2,"console_offset":172,"console_lines":8}
|
| 55 |
+
{"time":"2026-05-20T17:44:39.909622262Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 56 |
+
{"time":"2026-05-20T17:44:54.717240922Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":161,"history_lines":8,"events_offset":45,"events_lines":2,"console_offset":179,"console_lines":9}
|
| 57 |
+
{"time":"2026-05-20T17:44:54.929108982Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 58 |
+
{"time":"2026-05-20T17:45:09.716898556Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":169,"history_lines":7,"events_offset":47,"events_lines":2,"console_offset":187,"console_lines":8}
|
| 59 |
+
{"time":"2026-05-20T17:45:09.892526053Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 60 |
+
{"time":"2026-05-20T17:45:24.717493785Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":176,"history_lines":8,"events_offset":49,"events_lines":2,"console_offset":194,"console_lines":9}
|
| 61 |
+
{"time":"2026-05-20T17:45:25.045546993Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 62 |
+
{"time":"2026-05-20T17:45:39.717812594Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":184,"history_lines":7,"events_offset":51,"events_lines":2,"console_offset":202,"console_lines":8}
|
| 63 |
+
{"time":"2026-05-20T17:45:39.9478038Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 64 |
+
{"time":"2026-05-20T17:45:54.717218777Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":191,"history_lines":8,"events_offset":53,"events_lines":2,"console_offset":209,"console_lines":9}
|
| 65 |
+
{"time":"2026-05-20T17:45:54.976171064Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 66 |
+
{"time":"2026-05-20T17:46:09.717263096Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":199,"history_lines":4,"events_offset":55,"events_lines":2,"console_offset":218,"console_lines":5}
|
| 67 |
+
{"time":"2026-05-20T17:46:09.951773481Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 68 |
+
{"time":"2026-05-20T17:46:24.716631016Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":203,"history_lines":5,"events_offset":57,"events_lines":2,"console_offset":222,"console_lines":6}
|
| 69 |
+
{"time":"2026-05-20T17:46:24.933563024Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 70 |
+
{"time":"2026-05-20T17:46:39.716692275Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":208,"history_lines":8,"events_offset":59,"events_lines":2,"console_offset":227,"console_lines":8}
|
| 71 |
+
{"time":"2026-05-20T17:46:40.076314166Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 72 |
+
{"time":"2026-05-20T17:46:54.71695758Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":216,"history_lines":7,"events_offset":61,"events_lines":2,"console_offset":235,"console_lines":8}
|
| 73 |
+
{"time":"2026-05-20T17:46:54.932449942Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 74 |
+
{"time":"2026-05-20T17:47:09.71673532Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":223,"history_lines":8,"events_offset":63,"events_lines":2,"console_offset":242,"console_lines":9}
|
| 75 |
+
{"time":"2026-05-20T17:47:10.823979834Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 76 |
+
{"time":"2026-05-20T17:47:24.716932468Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":231,"history_lines":7,"events_offset":65,"events_lines":2,"console_offset":250,"console_lines":8}
|
| 77 |
+
{"time":"2026-05-20T17:47:29.72030432Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 78 |
+
{"time":"2026-05-20T17:47:39.716556404Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":238,"history_lines":8,"events_offset":67,"events_lines":2,"console_offset":257,"console_lines":9}
|
| 79 |
+
{"time":"2026-05-20T17:47:39.914381725Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 80 |
+
{"time":"2026-05-20T17:47:54.717303908Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":246,"history_lines":7,"events_offset":69,"events_lines":2,"console_offset":265,"console_lines":8}
|
| 81 |
+
{"time":"2026-05-20T17:47:55.016971518Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 82 |
+
{"time":"2026-05-20T17:48:09.717090386Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":253,"history_lines":7,"events_offset":71,"events_lines":2,"console_offset":272,"console_lines":8}
|
| 83 |
+
{"time":"2026-05-20T17:48:09.903758783Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 84 |
+
{"time":"2026-05-20T17:48:24.717528425Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":260,"history_lines":8,"events_offset":73,"events_lines":2,"console_offset":279,"console_lines":9}
|
| 85 |
+
{"time":"2026-05-20T17:48:24.978398686Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 86 |
+
{"time":"2026-05-20T17:48:39.716790044Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":268,"history_lines":7,"events_offset":75,"events_lines":2,"console_offset":287,"console_lines":8}
|
| 87 |
+
{"time":"2026-05-20T17:48:40.203834155Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 88 |
+
{"time":"2026-05-20T17:48:54.717455225Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":275,"history_lines":8,"events_offset":77,"events_lines":2,"console_offset":294,"console_lines":9}
|
| 89 |
+
{"time":"2026-05-20T17:48:54.87058942Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 90 |
+
{"time":"2026-05-20T17:49:09.716820972Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":283,"history_lines":7,"events_offset":79,"events_lines":2,"console_offset":302,"console_lines":8}
|
| 91 |
+
{"time":"2026-05-20T17:49:09.892665794Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 92 |
+
{"time":"2026-05-20T17:49:24.71648878Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":290,"history_lines":8,"events_offset":81,"events_lines":2,"console_offset":309,"console_lines":8}
|
| 93 |
+
{"time":"2026-05-20T17:49:24.905323184Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 94 |
+
{"time":"2026-05-20T17:49:39.716682373Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":298,"history_lines":3,"events_offset":83,"events_lines":2,"console_offset":317,"console_lines":5}
|
| 95 |
+
{"time":"2026-05-20T17:49:39.868392876Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 96 |
+
{"time":"2026-05-20T17:49:54.718695257Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":301,"history_lines":8,"events_offset":85,"events_lines":2,"console_offset":321,"console_lines":9}
|
| 97 |
+
{"time":"2026-05-20T17:49:54.876219687Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 98 |
+
{"time":"2026-05-20T17:50:09.71653883Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":309,"history_lines":7,"events_offset":87,"events_lines":2,"console_offset":329,"console_lines":8}
|
| 99 |
+
{"time":"2026-05-20T17:50:09.881447268Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 100 |
+
{"time":"2026-05-20T17:50:24.716453579Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":316,"history_lines":8,"events_offset":89,"events_lines":2,"console_offset":336,"console_lines":8}
|
| 101 |
+
{"time":"2026-05-20T17:50:25.031077018Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 102 |
+
{"time":"2026-05-20T17:50:39.717010688Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":324,"history_lines":7,"events_offset":91,"events_lines":2,"console_offset":344,"console_lines":8}
|
| 103 |
+
{"time":"2026-05-20T17:50:40.021922005Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 104 |
+
{"time":"2026-05-20T17:50:54.717150752Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":331,"history_lines":7,"events_offset":93,"events_lines":2,"console_offset":351,"console_lines":8}
|
| 105 |
+
{"time":"2026-05-20T17:50:54.938496888Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 106 |
+
{"time":"2026-05-20T17:51:09.716759709Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":338,"history_lines":8,"events_offset":95,"events_lines":2,"console_offset":358,"console_lines":9}
|
| 107 |
+
{"time":"2026-05-20T17:51:09.913481679Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 108 |
+
{"time":"2026-05-20T17:51:24.716685555Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":346,"history_lines":7,"events_offset":97,"events_lines":2,"console_offset":366,"console_lines":8}
|
| 109 |
+
{"time":"2026-05-20T17:51:24.881929338Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 110 |
+
{"time":"2026-05-20T17:51:39.7172333Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":353,"history_lines":8,"events_offset":99,"events_lines":2,"console_offset":373,"console_lines":9}
|
| 111 |
+
{"time":"2026-05-20T17:51:39.863938883Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 112 |
+
{"time":"2026-05-20T17:51:54.717179603Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":361,"history_lines":7,"events_offset":101,"events_lines":2,"console_offset":381,"console_lines":8}
|
| 113 |
+
{"time":"2026-05-20T17:51:55.047901711Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 114 |
+
{"time":"2026-05-20T17:52:09.716522063Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":368,"history_lines":8,"events_offset":103,"events_lines":2,"console_offset":388,"console_lines":9}
|
| 115 |
+
{"time":"2026-05-20T17:52:09.854234775Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 116 |
+
{"time":"2026-05-20T17:52:24.716835787Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":376,"history_lines":7,"events_offset":105,"events_lines":2,"console_offset":396,"console_lines":8}
|
| 117 |
+
{"time":"2026-05-20T17:52:24.8775274Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 118 |
+
{"time":"2026-05-20T17:52:39.716762484Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":383,"history_lines":7,"events_offset":107,"events_lines":2,"console_offset":403,"console_lines":8}
|
| 119 |
+
{"time":"2026-05-20T17:52:39.869845259Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 120 |
+
{"time":"2026-05-20T17:52:54.716781766Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":390,"history_lines":8,"events_offset":109,"events_lines":2,"console_offset":410,"console_lines":9}
|
| 121 |
+
{"time":"2026-05-20T17:52:54.840406745Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 122 |
+
{"time":"2026-05-20T17:53:09.717033592Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":398,"history_lines":3,"events_offset":111,"events_lines":2,"console_offset":418,"console_lines":5}
|
| 123 |
+
{"time":"2026-05-20T17:53:09.873479597Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 124 |
+
{"time":"2026-05-20T17:53:24.716716446Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":401,"history_lines":8,"events_offset":113,"events_lines":2,"console_offset":422,"console_lines":9}
|
| 125 |
+
{"time":"2026-05-20T17:53:24.87427225Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 126 |
+
{"time":"2026-05-20T17:53:39.717053507Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":409,"history_lines":7,"events_offset":115,"events_lines":2,"console_offset":430,"console_lines":8}
|
| 127 |
+
{"time":"2026-05-20T17:53:39.880658983Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 128 |
+
{"time":"2026-05-20T17:53:54.717054955Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":416,"history_lines":7,"events_offset":117,"events_lines":2,"console_offset":437,"console_lines":8}
|
| 129 |
+
{"time":"2026-05-20T17:53:54.867333371Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 130 |
+
{"time":"2026-05-20T17:54:09.717420819Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":423,"history_lines":7,"events_offset":119,"events_lines":2,"console_offset":444,"console_lines":8}
|
| 131 |
+
{"time":"2026-05-20T17:54:09.880713073Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 132 |
+
{"time":"2026-05-20T17:54:24.716666972Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":430,"history_lines":8,"events_offset":121,"events_lines":2,"console_offset":451,"console_lines":9}
|
| 133 |
+
{"time":"2026-05-20T17:54:24.857736525Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 134 |
+
{"time":"2026-05-20T17:54:39.717898362Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":438,"history_lines":7,"events_offset":123,"events_lines":2,"console_offset":459,"console_lines":8}
|
| 135 |
+
{"time":"2026-05-20T17:54:39.87283609Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 136 |
+
{"time":"2026-05-20T17:54:54.718233956Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":445,"history_lines":8,"events_offset":125,"events_lines":2,"console_offset":466,"console_lines":9}
|
| 137 |
+
{"time":"2026-05-20T17:54:54.892610687Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 138 |
+
{"time":"2026-05-20T17:55:09.71643712Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":453,"history_lines":8,"events_offset":127,"events_lines":2,"console_offset":474,"console_lines":9}
|
| 139 |
+
{"time":"2026-05-20T17:55:09.926459806Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 140 |
+
{"time":"2026-05-20T17:55:24.716990809Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":461,"history_lines":7,"events_offset":129,"events_lines":2,"console_offset":482,"console_lines":8}
|
| 141 |
+
{"time":"2026-05-20T17:55:24.906349279Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 142 |
+
{"time":"2026-05-20T17:55:39.717507911Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":468,"history_lines":8,"events_offset":131,"events_lines":2,"console_offset":489,"console_lines":9}
|
| 143 |
+
{"time":"2026-05-20T17:55:40.051665116Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 144 |
+
{"time":"2026-05-20T17:55:54.716562981Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":476,"history_lines":7,"events_offset":133,"events_lines":2,"console_offset":497,"console_lines":8}
|
| 145 |
+
{"time":"2026-05-20T17:55:54.937796735Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
checkpoints/dagger/1iter/wandb/run-20260520_173853-ql0pvhal/run-ql0pvhal.wandb
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a59ba13117874afa2f97417f586d0911034b09b789deefc0cbc5bb15e59f9312
|
| 3 |
+
size 1376256
|