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  1. .gitattributes +71 -72
  2. 2025.07.11/03.58.46_train_mlp_projector_metaworld/.hydra/config.yaml +124 -0
  3. 2025.07.11/03.58.46_train_mlp_projector_metaworld/.hydra/hydra.yaml +159 -0
  4. 2025.07.11/03.58.46_train_mlp_projector_metaworld/.hydra/overrides.yaml +3 -0
  5. 2025.07.11/03.58.46_train_mlp_projector_metaworld/checkpoints/epoch=0525-val_loss=2.274.ckpt +3 -0
  6. 2025.07.11/03.58.46_train_mlp_projector_metaworld/checkpoints/epoch=0618-val_loss=2.264.ckpt +3 -0
  7. 2025.07.11/03.58.46_train_mlp_projector_metaworld/checkpoints/epoch=0795-val_loss=2.277.ckpt +3 -0
  8. 2025.07.11/03.58.46_train_mlp_projector_metaworld/checkpoints/epoch=0805-val_loss=2.265.ckpt +3 -0
  9. 2025.07.11/03.58.46_train_mlp_projector_metaworld/checkpoints/epoch=0989-val_loss=2.290.ckpt +3 -0
  10. 2025.07.11/03.58.46_train_mlp_projector_metaworld/checkpoints/latest.ckpt +3 -0
  11. 2025.07.11/03.58.46_train_mlp_projector_metaworld/logs.json.txt +3 -0
  12. 2025.07.11/03.58.46_train_mlp_projector_metaworld/train_mlp_projector_workspace.log +0 -0
  13. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/debug-internal.log +96 -0
  14. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/debug.log +27 -0
  15. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/run-20250711_035849-zfajcmpj/files/config.yaml +228 -0
  16. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/run-20250711_035849-zfajcmpj/files/output.log +1 -0
  17. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/run-20250711_035849-zfajcmpj/files/wandb-metadata.json +54 -0
  18. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/run-20250711_035849-zfajcmpj/files/wandb-summary.json +1 -0
  19. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/run-20250711_035849-zfajcmpj/logs/debug-core.log +14 -0
  20. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/run-20250711_035849-zfajcmpj/logs/debug-internal.log +96 -0
  21. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/run-20250711_035849-zfajcmpj/logs/debug.log +27 -0
  22. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/run-20250711_035849-zfajcmpj/run-zfajcmpj.wandb +3 -0
  23. 2025.07.11/03.58.46_train_mlp_projector_metaworld/wandb/wandb-resume.json +1 -0
  24. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/.hydra/config.yaml +116 -0
  25. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/.hydra/hydra.yaml +156 -0
  26. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/.hydra/overrides.yaml +1 -0
  27. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/README.md +202 -0
  28. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/adapter_config.json +37 -0
  29. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/adapter_model.safetensors +3 -0
  30. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/README.md +202 -0
  31. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/adapter_config.json +37 -0
  32. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/adapter_model.safetensors +3 -0
  33. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/config.json +43 -0
  34. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/merges.txt +0 -0
  35. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/mlp_projector.bin +3 -0
  36. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/optimizer.pt +3 -0
  37. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/rng_state.pth +3 -0
  38. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/scheduler.pt +3 -0
  39. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/special_tokens_map.json +34 -0
  40. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/tokenizer.json +0 -0
  41. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/tokenizer_config.json +155 -0
  42. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/trainer_state.json +0 -0
  43. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/training_args.bin +3 -0
  44. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-4116/vocab.json +0 -0
  45. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/normalizer.pt +3 -0
  46. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/train_llm_workspace.log +5 -0
  47. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/wandb/debug-internal.log +19 -0
  48. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/wandb/debug.log +35 -0
  49. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/wandb/run-20250814_004704-1q0db7hd/files/config.yaml +748 -0
  50. 2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/wandb/run-20250814_004704-1q0db7hd/files/output.log +0 -0
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2025.07.11/03.58.46_train_mlp_projector_metaworld/.hydra/config.yaml ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: train_mlp_projector
2
+ _target_: llmbc.workspace.train_mlp_projector_workspace.TrainMlpProjectorWorkspace
3
+ obs_dim: ${task.obs_dim}
4
+ action_dim: ${task.action_dim}
5
+ task_name: ${task.name}
6
+ exp_name: default
7
+ model_name: ${llm.name}
8
+ horizon: 1
9
+ n_obs_steps: 1
10
+ n_action_steps: 1
11
+ n_latency_steps: 0
12
+ past_action_visible: false
13
+ llm_translator:
14
+ _target_: llmbc.translator.llm_translator.LLMTranslator
15
+ cfg: ${llm}
16
+ obs_dim: ${task.obs_dim}
17
+ action_dim: ${task.action_dim}
18
+ horizon: ${horizon}
19
+ n_obs_steps: ${n_obs_steps}
20
+ n_action_steps: ${n_action_steps}
21
+ dataloader:
22
+ batch_size: 8
23
+ num_workers: 0
24
+ shuffle: true
25
+ pin_memory: false
26
+ persistent_workers: false
27
+ val_dataloader:
28
+ batch_size: 8
29
+ num_workers: 0
30
+ shuffle: true
31
+ pin_memory: false
32
+ persistent_workers: false
33
+ optimizer:
34
+ _target_: torch.optim.Adam
35
+ lr: 0.0001
36
+ betas:
37
+ - 0.95
38
+ - 0.999
39
+ eps: 1.0e-08
40
+ weight_decay: 1.0e-06
41
+ training:
42
+ device: cuda
43
+ seed: 42
44
+ debug: false
45
+ resume: true
46
+ lr_scheduler: cosine
47
+ lr_warmup_steps: 10
48
+ num_epochs: 1000
49
+ gradient_accumulate_every: 32
50
+ grad_norm_clip: 1
51
+ enable_normalizer: true
52
+ checkpoint_every: 1
53
+ val_every: 1
54
+ sample_every: 1
55
+ sample_max_batch: 128
56
+ max_train_steps: null
57
+ max_val_steps: null
58
+ tqdm_interval_sec: 1.0
59
+ logging:
60
+ project: llm_module_training
61
+ resume: true
62
+ mode: online
63
+ name: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
64
+ tags:
65
+ - ${name}
66
+ - ${task_name}
67
+ - ${exp_name}
68
+ id: null
69
+ group: null
70
+ checkpoint:
71
+ topk:
72
+ monitor_key: val_loss
73
+ mode: min
74
+ k: 5
75
+ format_str: epoch={epoch:04d}-val_loss={val_loss:.3f}.ckpt
76
+ save_last_ckpt: true
77
+ save_last_snapshot: false
78
+ multi_run:
79
+ run_dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
80
+ wandb_name_base: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
81
+ task:
82
+ name: metaworld
83
+ obs_dim: 9
84
+ action_dim: 4
85
+ dataset:
86
+ _target_: llmbc.dataset.metaworld_lowdim_dataset.MetaworldLowdimDataset
87
+ data_path: datasets/metaworld-general-split0.02.pt
88
+ data_path2: datasets/metaworld-split0.02.pt
89
+ horizon: ${horizon}
90
+ pad_before: ${eval:'${n_obs_steps}-1'}
91
+ pad_after: ${eval:'${n_action_steps}-1'}
92
+ obs_eef_target: true
93
+ use_manual_normalizer: false
94
+ val_ratio: 0.05
95
+ dummy_normalizer: false
96
+ llm:
97
+ name: HuggingFaceTB/SmolLM2-135M-Instruct
98
+ model_name: SmolLM2-135M-Instruct
99
+ use_quantization: false
100
+ load_from_checkpoint: false
101
+ adaptor_path: data/outputs/2025.07.05/10.04.26_train_llm_lowdim_PegInsertionSide-v1/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-PegInsertionSide-v1/checkpoint-9744
102
+ use_orig_model: false
103
+ use_joint_mlp_projector: true
104
+ load_from_mlp_projector_checkpoint: false
105
+ mlp_projector_checkpoint_path: data/outputs/2025.07.05/10.04.26_train_llm_lowdim_PegInsertionSide-v1/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-PegInsertionSide-v1/checkpoint-9744/mlp_projector.bin
106
+ use_linear_normalizer: false
107
+ normalizer_checkpoint_path: ''
108
+ max_length: 100
109
+ config_target: llmbc.model.llm.llama_lowdim_model.LowdimLlamaConfig
110
+ causal_lm_target: llmbc.model.llm.llama_lowdim_model.LowdimLlamaForCausalLM
111
+ lora_config:
112
+ r: 32
113
+ lora_alpha: 64
114
+ lora_dropout: 0.05
115
+ bias: none
116
+ task_type: CAUSAL_LM
117
+ prompter:
118
+ _target_: llmbc.translator.prompter.smollm2_prompter.SmolLM2Prompter
119
+ use_joint_mlp_projector: true
120
+ hydra:
121
+ job:
122
+ override_dirname: ${model_name}
123
+ run:
124
+ dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${model_name}
2025.07.11/03.58.46_train_mlp_projector_metaworld/.hydra/hydra.yaml ADDED
@@ -0,0 +1,159 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
4
+ sweep:
5
+ dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
6
+ subdir: ${hydra.job.num}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ formatters:
71
+ simple:
72
+ format: '[%(asctime)s][HYDRA] %(message)s'
73
+ handlers:
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+ console:
75
+ class: logging.StreamHandler
76
+ formatter: simple
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+ stream: ext://sys.stdout
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+ root:
79
+ level: INFO
80
+ handlers:
81
+ - console
82
+ loggers:
83
+ logging_example:
84
+ level: DEBUG
85
+ disable_existing_loggers: false
86
+ job_logging:
87
+ version: 1
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+ formatters:
89
+ simple:
90
+ format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
91
+ handlers:
92
+ console:
93
+ class: logging.StreamHandler
94
+ formatter: simple
95
+ stream: ext://sys.stdout
96
+ file:
97
+ class: logging.FileHandler
98
+ formatter: simple
99
+ filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
100
+ root:
101
+ level: INFO
102
+ handlers:
103
+ - console
104
+ - file
105
+ disable_existing_loggers: false
106
+ env: {}
107
+ mode: RUN
108
+ searchpath: []
109
+ callbacks: {}
110
+ output_subdir: .hydra
111
+ overrides:
112
+ hydra:
113
+ - hydra.mode=RUN
114
+ task:
115
+ - llm.load_from_checkpoint=False
116
+ - llm.load_from_mlp_projector_checkpoint=False
117
+ - task=metaworld
118
+ job:
119
+ name: train_mlp_projector_workspace
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+ chdir: null
121
+ override_dirname: llm.load_from_checkpoint=False,llm.load_from_mlp_projector_checkpoint=False,task=metaworld
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+ id: ???
123
+ num: ???
124
+ config_name: train_mlp_projector_workspace
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+ env_set: {}
126
+ env_copy: []
127
+ config:
128
+ override_dirname:
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+ kv_sep: '='
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+ item_sep: ','
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+ exclude_keys: []
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+ runtime:
133
+ version: 1.2.0
134
+ version_base: '1.2'
135
+ cwd: /home/chyang/workspace/LLM-BC
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+ config_sources:
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+ - path: hydra.conf
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+ schema: pkg
139
+ provider: hydra
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+ - path: /home/chyang/workspace/LLM-BC/llmbc/config
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+ schema: file
142
+ provider: main
143
+ - path: ''
144
+ schema: structured
145
+ provider: schema
146
+ output_dir: /home/chyang/workspace/LLM-BC/data/outputs/2025.07.11/03.58.46_train_mlp_projector_metaworld
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+ choices:
148
+ llm: smollm2-135m-instruct
149
+ task: metaworld
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+ hydra/env: default
151
+ hydra/callbacks: null
152
+ hydra/job_logging: default
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+ hydra/hydra_logging: default
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+ hydra/hydra_help: default
155
+ hydra/help: default
156
+ hydra/sweeper: basic
157
+ hydra/launcher: basic
158
+ hydra/output: default
159
+ verbose: false
2025.07.11/03.58.46_train_mlp_projector_metaworld/.hydra/overrides.yaml ADDED
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+
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+ Compose your configuration from those groups (group=option)
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+
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+ $APP_CONFIG_GROUPS
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1
+ ---
2
+ base_model: HuggingFaceTB/SmolLM2-135M-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.14.0
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+ ---
2
+ base_model: HuggingFaceTB/SmolLM2-135M-Instruct
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+ library_name: peft
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+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
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+ ### Framework versions
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+ - PEFT 0.14.0
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+ [2025-08-14 00:52:03,963][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmpzb6l_1ze/test.c -o /tmp/tmpzb6l_1ze/test.o
5
+ [2025-08-14 00:52:04,022][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmpzb6l_1ze/test.o -L/usr/local/cuda -L/usr/local/cuda/lib64 -lcufile -o /tmp/tmpzb6l_1ze/a.out
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+ 2025-08-14 00:52:11,394 INFO MainThread:1338151 [wandb_run.py:_config_callback():1389] config_cb None None {'peft_config': {'default': {'task_type': 'CAUSAL_LM', 'peft_type': <PeftType.LORA: 'LORA'>, 'auto_mapping': None, 'base_model_name_or_path': 'HuggingFaceTB/SmolLM2-135M-Instruct', 'revision': None, 'inference_mode': False, 'r': 32, 'target_modules': {'o_proj', 'v_proj', 'q_proj', 'k_proj', 'up_proj', 'down_proj', 'gate_proj'}, 'exclude_modules': None, 'lora_alpha': 64, 'lora_dropout': 0.05, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'loftq_config': {}, 'eva_config': None, 'use_dora': False, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False}}, 'obs_dim': 9, 'action_dim': 4, 'use_joint_mlp_projector': True, 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'rope_interleaved': False, 'transformers.js_config': {'kv_cache_dtype': {'q4f16': 'float16', 'fp16': 'float16'}}, 'output_dir': '/home/chyang/workspace/LLM-BC/data/outputs/2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 1, 'per_device_eval_batch_size': 1, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 32, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 10, 'log_level': 'passive', 'log_level_replica': 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2025.08.14/00.47.03_train_llm_lowdim_box-close-v2/wandb/run-20250814_004704-1q0db7hd/files/output.log ADDED
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