Remove superseded Cosmos3-Edge checkpoints
Browse files- cosmos3edge_libero_10_full_finetune_bs16/checkpoints/step-002000-epoch-39-loss=0.7326.safetensors +0 -3
- cosmos3edge_libero_10_full_finetune_bs16/config.json +0 -669
- cosmos3edge_libero_10_full_finetune_bs16/config.yaml +0 -549
- cosmos3edge_libero_10_full_finetune_bs16/cosmos3edge_libero_10_full_finetune_2026_08_04_16_56_51.jsonl +0 -0
- cosmos3edge_libero_10_full_finetune_bs16/dataset_statistics.json +0 -138
- cosmos3edge_libero_10_full_finetune_bs16/run-metrics.jsonl +0 -1
- cosmos3edge_libero_10_full_finetune_bs16/tokenizer/chat_template.jinja +0 -324
- cosmos3edge_libero_10_full_finetune_bs16/tokenizer/special_tokens_map.json +0 -30
- cosmos3edge_libero_10_full_finetune_bs16/tokenizer/tokenizer.json +0 -3
- cosmos3edge_libero_10_full_finetune_bs16/tokenizer/tokenizer_config.json +0 -17
- cosmos3edge_libero_10_full_finetune_bs16/vlm_backbone_config.json +0 -41
- cosmos3edge_libero_goal_full_finetune_bs16/checkpoints/step-002000-epoch-76-loss=0.6767.safetensors +0 -3
- cosmos3edge_libero_goal_full_finetune_bs16/config.json +0 -669
- cosmos3edge_libero_goal_full_finetune_bs16/config.yaml +0 -549
- cosmos3edge_libero_goal_full_finetune_bs16/cosmos3edge_libero_goal_full_finetune_2026_08_03_16_53_28.jsonl +0 -24
- cosmos3edge_libero_goal_full_finetune_bs16/cosmos3edge_libero_goal_full_finetune_2026_08_03_17_19_06.jsonl +0 -0
- cosmos3edge_libero_goal_full_finetune_bs16/dataset_statistics.json +0 -138
- cosmos3edge_libero_goal_full_finetune_bs16/run-metrics.jsonl +0 -1
- cosmos3edge_libero_goal_full_finetune_bs16/tokenizer/chat_template.jinja +0 -324
- cosmos3edge_libero_goal_full_finetune_bs16/tokenizer/special_tokens_map.json +0 -30
- cosmos3edge_libero_goal_full_finetune_bs16/tokenizer/tokenizer.json +0 -3
- cosmos3edge_libero_goal_full_finetune_bs16/tokenizer/tokenizer_config.json +0 -17
- cosmos3edge_libero_goal_full_finetune_bs16/vlm_backbone_config.json +0 -41
- cosmos3edge_libero_object_full_finetune_bs16/checkpoints/step-002000-epoch-60-loss=0.6041.safetensors +0 -3
- cosmos3edge_libero_object_full_finetune_bs16/config.json +0 -669
- cosmos3edge_libero_object_full_finetune_bs16/config.yaml +0 -549
- cosmos3edge_libero_object_full_finetune_bs16/cosmos3edge_libero_object_full_finetune_2026_08_04_01_21_44.jsonl +0 -0
- cosmos3edge_libero_object_full_finetune_bs16/dataset_statistics.json +0 -138
- cosmos3edge_libero_object_full_finetune_bs16/run-metrics.jsonl +0 -1
- cosmos3edge_libero_object_full_finetune_bs16/tokenizer/chat_template.jinja +0 -324
- cosmos3edge_libero_object_full_finetune_bs16/tokenizer/special_tokens_map.json +0 -30
- cosmos3edge_libero_object_full_finetune_bs16/tokenizer/tokenizer.json +0 -3
- cosmos3edge_libero_object_full_finetune_bs16/tokenizer/tokenizer_config.json +0 -17
- cosmos3edge_libero_object_full_finetune_bs16/vlm_backbone_config.json +0 -41
- cosmos3edge_libero_spatial_full_finetune_bs16/checkpoints/step-002000-epoch-76-loss=0.7025.safetensors +0 -3
- cosmos3edge_libero_spatial_full_finetune_bs16/config.json +0 -669
- cosmos3edge_libero_spatial_full_finetune_bs16/config.yaml +0 -549
- cosmos3edge_libero_spatial_full_finetune_bs16/cosmos3edge_libero_spatial_full_finetune_2026_08_04_01_21_37.jsonl +0 -0
- cosmos3edge_libero_spatial_full_finetune_bs16/dataset_statistics.json +0 -138
- cosmos3edge_libero_spatial_full_finetune_bs16/run-metrics.jsonl +0 -1
- cosmos3edge_libero_spatial_full_finetune_bs16/tokenizer/chat_template.jinja +0 -324
- cosmos3edge_libero_spatial_full_finetune_bs16/tokenizer/special_tokens_map.json +0 -30
- cosmos3edge_libero_spatial_full_finetune_bs16/tokenizer/tokenizer.json +0 -3
- cosmos3edge_libero_spatial_full_finetune_bs16/tokenizer/tokenizer_config.json +0 -17
- cosmos3edge_libero_spatial_full_finetune_bs16/vlm_backbone_config.json +0 -41
cosmos3edge_libero_10_full_finetune_bs16/checkpoints/step-002000-epoch-39-loss=0.7326.safetensors
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cosmos3edge_libero_10_full_finetune_bs16/config.json
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".self_attn.o_proj.": ".self_attn.to_out.",
|
| 288 |
-
".self_attn.o_proj_moe_gen.": ".self_attn.to_add_out.",
|
| 289 |
-
".self_attn.q_norm_moe_gen.": ".self_attn.norm_added_q.",
|
| 290 |
-
".self_attn.q_proj.": ".self_attn.to_q.",
|
| 291 |
-
".self_attn.q_proj_moe_gen.": ".self_attn.add_q_proj.",
|
| 292 |
-
".self_attn.v_proj.": ".self_attn.to_v.",
|
| 293 |
-
".self_attn.v_proj_moe_gen.": ".self_attn.add_v_proj.",
|
| 294 |
-
"action_in_proj.": "action_proj_in.",
|
| 295 |
-
"action_modality_embed": "action_modality_embed",
|
| 296 |
-
"action_out_proj.": "action_proj_out.",
|
| 297 |
-
"time_embedder.mlp.0.": "time_embedder.linear_1.",
|
| 298 |
-
"time_embedder.mlp.2.": "time_embedder.linear_2.",
|
| 299 |
-
"vision_in_proj.projector.": "proj_in.",
|
| 300 |
-
"vision_out_proj.projector.": "proj_out.",
|
| 301 |
-
"vlm_backbone.lm_head.weight": "lm_head.weight",
|
| 302 |
-
"vlm_backbone.model.language_model.embed_tokens.weight": "embed_tokens.weight",
|
| 303 |
-
"vlm_backbone.model.language_model.layers.": "layers.",
|
| 304 |
-
"vlm_backbone.model.language_model.norm.weight": "norm.weight",
|
| 305 |
-
"vlm_backbone.model.language_model.norm_moe_gen.weight": "norm_moe_gen.weight"
|
| 306 |
-
},
|
| 307 |
-
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|
| 308 |
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|
| 309 |
-
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|
| 310 |
-
"position_embedding_type": "unified_3d_mrope",
|
| 311 |
-
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|
| 312 |
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|
| 313 |
-
"num_steps": 30,
|
| 314 |
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|
| 315 |
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|
| 316 |
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"shift": 10.0,
|
| 317 |
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|
| 318 |
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|
| 319 |
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},
|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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| 324 |
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| 325 |
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|
| 326 |
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|
| 327 |
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|
| 328 |
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|
| 329 |
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|
| 330 |
-
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|
| 331 |
-
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|
| 332 |
-
"train_time_video_distribution": "waver",
|
| 333 |
-
"train_time_weight": "uniform",
|
| 334 |
-
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|
| 335 |
-
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|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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|
| 342 |
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|
| 343 |
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|
| 344 |
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|
| 345 |
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|
| 346 |
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|
| 347 |
-
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|
| 348 |
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"type": "Cosmos3FlowMatching",
|
| 349 |
-
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|
| 350 |
-
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|
| 351 |
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|
| 352 |
-
"in_dim": 192,
|
| 353 |
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"out_dim": 2048,
|
| 354 |
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"type": "LinearProjector"
|
| 355 |
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|
| 357 |
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|
| 361 |
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| 363 |
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| 364 |
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|
| 365 |
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| 366 |
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|
| 367 |
-
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|
| 368 |
-
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|
| 369 |
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|
| 370 |
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"include_visual": false,
|
| 371 |
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|
| 372 |
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"type": "Cosmos3MoTBackbone",
|
| 373 |
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| 374 |
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|
| 375 |
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| 382 |
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| 383 |
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| 384 |
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| 385 |
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|
| 386 |
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|
| 387 |
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|
| 388 |
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|
| 389 |
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|
| 390 |
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| 396 |
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| 398 |
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| 399 |
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| 400 |
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| 401 |
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| 402 |
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| 403 |
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|
| 404 |
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| 405 |
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|
| 406 |
-
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|
| 407 |
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|
| 408 |
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|
| 409 |
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"task_description",
|
| 410 |
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|
| 411 |
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"info",
|
| 412 |
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"timestamp"
|
| 413 |
-
],
|
| 414 |
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|
| 415 |
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|
| 416 |
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|
| 417 |
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],
|
| 418 |
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|
| 419 |
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|
| 420 |
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|
| 421 |
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|
| 422 |
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|
| 423 |
-
"conditioning_fps",
|
| 424 |
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"action_fps"
|
| 425 |
-
],
|
| 426 |
-
"type": "Cosmos3Collator"
|
| 427 |
-
},
|
| 428 |
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|
| 429 |
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|
| 430 |
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| 431 |
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|
| 432 |
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|
| 433 |
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|
| 434 |
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|
| 435 |
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},
|
| 436 |
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|
| 437 |
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| 438 |
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|
| 439 |
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|
| 440 |
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|
| 441 |
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"active_trackers": [
|
| 442 |
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|
| 443 |
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"wandb"
|
| 444 |
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],
|
| 445 |
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|
| 446 |
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|
| 447 |
-
"type": "VLAMetric",
|
| 448 |
-
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|
| 449 |
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},
|
| 450 |
-
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|
| 451 |
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|
| 452 |
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|
| 453 |
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0.9,
|
| 454 |
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0.99
|
| 455 |
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|
| 456 |
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|
| 457 |
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|
| 458 |
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|
| 459 |
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"lr": 5e-05,
|
| 460 |
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| 461 |
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| 462 |
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| 463 |
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|
| 464 |
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|
| 465 |
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"type": "AdamW",
|
| 466 |
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| 467 |
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|
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| 469 |
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|
| 470 |
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|
| 471 |
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|
| 472 |
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|
| 473 |
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|
| 474 |
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|
| 475 |
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|
| 476 |
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"type": "PretrainedTokenizer"
|
| 477 |
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},
|
| 478 |
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"type": "FSDPTrainRunner"
|
| 479 |
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|
| 480 |
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| 481 |
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| 484 |
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|
| 487 |
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|
| 488 |
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|
| 489 |
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|
| 490 |
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| 491 |
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| 492 |
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| 493 |
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| 495 |
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| 496 |
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| 500 |
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| 503 |
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| 504 |
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|
| 505 |
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|
| 506 |
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"stats"
|
| 507 |
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],
|
| 508 |
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"type": "ProcessParquetInputs",
|
| 509 |
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|
| 510 |
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|
| 511 |
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|
| 512 |
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]
|
| 513 |
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},
|
| 514 |
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{
|
| 515 |
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|
| 516 |
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|
| 517 |
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|
| 518 |
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|
| 523 |
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| 530 |
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|
| 532 |
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|
| 533 |
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},
|
| 534 |
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|
| 535 |
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},
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| 536 |
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{
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| 537 |
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|
| 538 |
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| 539 |
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|
| 540 |
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| 541 |
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{
|
| 542 |
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"type": "SimpleNormalizeImages"
|
| 543 |
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| 544 |
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{
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| 545 |
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| 549 |
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|
| 550 |
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|
| 551 |
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"type": "NormalizeStatesAndActions"
|
| 552 |
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| 553 |
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| 554 |
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"mode": "wam",
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|
| 558 |
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|
| 559 |
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|
| 560 |
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{
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| 562 |
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|
| 563 |
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|
| 565 |
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|
| 566 |
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| 572 |
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|
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|
| 578 |
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|
| 579 |
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|
| 581 |
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|
| 582 |
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|
| 583 |
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|
| 584 |
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],
|
| 585 |
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|
| 586 |
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| 587 |
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| 664 |
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|
| 665 |
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|
cosmos3edge_libero_10_full_finetune_bs16/config.yaml
DELETED
|
@@ -1,549 +0,0 @@
|
|
| 1 |
-
eval:
|
| 2 |
-
dataset:
|
| 3 |
-
extra_tensor_keys:
|
| 4 |
-
- conditioning_fps
|
| 5 |
-
- prepend_state_to_action
|
| 6 |
-
img_buffer_len: 1
|
| 7 |
-
transforms:
|
| 8 |
-
- embodiment_id: 5
|
| 9 |
-
img_keys:
|
| 10 |
-
- agentview_image
|
| 11 |
-
- robot0_eye_in_hand_image
|
| 12 |
-
type: ProcessLiberoEvalInputs
|
| 13 |
-
- conditioning_fps: 20.0
|
| 14 |
-
prepend_state_to_action: false
|
| 15 |
-
type: SetCosmos3ActionMetadata
|
| 16 |
-
- image_resize_strategy: resize-naive
|
| 17 |
-
input_sizes:
|
| 18 |
-
- - 3
|
| 19 |
-
- 256
|
| 20 |
-
- 256
|
| 21 |
-
- - 3
|
| 22 |
-
- 256
|
| 23 |
-
- 256
|
| 24 |
-
means:
|
| 25 |
-
- - 127.5
|
| 26 |
-
- 127.5
|
| 27 |
-
- 127.5
|
| 28 |
-
- - 127.5
|
| 29 |
-
- 127.5
|
| 30 |
-
- 127.5
|
| 31 |
-
stds:
|
| 32 |
-
- - 127.5
|
| 33 |
-
- 127.5
|
| 34 |
-
- 127.5
|
| 35 |
-
- - 127.5
|
| 36 |
-
- 127.5
|
| 37 |
-
- 127.5
|
| 38 |
-
type: TransformImage
|
| 39 |
-
- action_metadata:
|
| 40 |
-
append_viewpoint: false
|
| 41 |
-
conditioning_fps: 20.0
|
| 42 |
-
frame_window_size: 17
|
| 43 |
-
video_height: 256
|
| 44 |
-
video_width: 512
|
| 45 |
-
cfg_dropout_rate: 0.0
|
| 46 |
-
max_len: 512
|
| 47 |
-
output_attention_mask_key: lang_masks
|
| 48 |
-
output_key: lang_tokens
|
| 49 |
-
tokenizer:
|
| 50 |
-
model_max_length: 4096
|
| 51 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 52 |
-
padding_side: right
|
| 53 |
-
trust_remote_code: true
|
| 54 |
-
type: PretrainedTokenizer
|
| 55 |
-
type: ProcessCosmos3Prompt
|
| 56 |
-
- gripper_key: robot0_gripper_qpos
|
| 57 |
-
norm_type: mean_std
|
| 58 |
-
out_key: states
|
| 59 |
-
pos_key: robot0_eef_pos
|
| 60 |
-
quat_key: robot0_eef_quat
|
| 61 |
-
state_dim: 64
|
| 62 |
-
type: LiberoProprioFromInputs
|
| 63 |
-
- frame_window_size: 1
|
| 64 |
-
num_views: 2
|
| 65 |
-
tile_direction: horizontal
|
| 66 |
-
type: PrepareVideo
|
| 67 |
-
type: LiberoParquetEvalDataset
|
| 68 |
-
denormalize_action:
|
| 69 |
-
action_dim: 10
|
| 70 |
-
norm_type: quantile_rot
|
| 71 |
-
type: DenormalizeLiberoFramewiseRot6DAction
|
| 72 |
-
enable_mixed_precision_training: true
|
| 73 |
-
eval_chunk_size: 16
|
| 74 |
-
inference_seed: 7
|
| 75 |
-
mixed_precision_dtype: bf16
|
| 76 |
-
model_family: cosmos3
|
| 77 |
-
norm_stats_key: libero_10_no_noops
|
| 78 |
-
num_inference_steps: 30
|
| 79 |
-
num_steps_wait: 10
|
| 80 |
-
num_trials_per_task: 50
|
| 81 |
-
resize_size: 256
|
| 82 |
-
seed: 7
|
| 83 |
-
task_ids: null
|
| 84 |
-
task_suite_name: libero_10
|
| 85 |
-
type: LiberoEvalRunner
|
| 86 |
-
inference_model:
|
| 87 |
-
action_horizon: 16
|
| 88 |
-
action_in_proj:
|
| 89 |
-
input_size: 64
|
| 90 |
-
num_domains: 32
|
| 91 |
-
output_size: 2048
|
| 92 |
-
type: DomainAwareLinear
|
| 93 |
-
action_out_proj:
|
| 94 |
-
input_size: 2048
|
| 95 |
-
num_domains: 32
|
| 96 |
-
output_size: 64
|
| 97 |
-
type: DomainAwareLinear
|
| 98 |
-
base_fps: 24.0
|
| 99 |
-
enable_fps_modulation: true
|
| 100 |
-
enable_vision_loss: true
|
| 101 |
-
freeze_non_moe_vlm_backbone: true
|
| 102 |
-
freeze_vlm_backbone: false
|
| 103 |
-
latent_patch_size: 2
|
| 104 |
-
max_action_dim: 64
|
| 105 |
-
name_mapping:
|
| 106 |
-
.self_attn.k_norm_moe_gen.: .self_attn.norm_added_k.
|
| 107 |
-
.self_attn.k_proj.: .self_attn.to_k.
|
| 108 |
-
.self_attn.k_proj_moe_gen.: .self_attn.add_k_proj.
|
| 109 |
-
.self_attn.o_proj.: .self_attn.to_out.
|
| 110 |
-
.self_attn.o_proj_moe_gen.: .self_attn.to_add_out.
|
| 111 |
-
.self_attn.q_norm_moe_gen.: .self_attn.norm_added_q.
|
| 112 |
-
.self_attn.q_proj.: .self_attn.to_q.
|
| 113 |
-
.self_attn.q_proj_moe_gen.: .self_attn.add_q_proj.
|
| 114 |
-
.self_attn.v_proj.: .self_attn.to_v.
|
| 115 |
-
.self_attn.v_proj_moe_gen.: .self_attn.add_v_proj.
|
| 116 |
-
action_in_proj.: action_proj_in.
|
| 117 |
-
action_modality_embed: action_modality_embed
|
| 118 |
-
action_out_proj.: action_proj_out.
|
| 119 |
-
time_embedder.mlp.0.: time_embedder.linear_1.
|
| 120 |
-
time_embedder.mlp.2.: time_embedder.linear_2.
|
| 121 |
-
vision_in_proj.projector.: proj_in.
|
| 122 |
-
vision_out_proj.projector.: proj_out.
|
| 123 |
-
vlm_backbone.lm_head.weight: lm_head.weight
|
| 124 |
-
vlm_backbone.model.language_model.embed_tokens.weight: embed_tokens.weight
|
| 125 |
-
vlm_backbone.model.language_model.layers.: layers.
|
| 126 |
-
vlm_backbone.model.language_model.norm.weight: norm.weight
|
| 127 |
-
vlm_backbone.model.language_model.norm_moe_gen.weight: norm_moe_gen.weight
|
| 128 |
-
num_embodiment_domains: 32
|
| 129 |
-
ori_action_dim: 10
|
| 130 |
-
packed_attention_backend: flash2
|
| 131 |
-
position_embedding_type: unified_3d_mrope
|
| 132 |
-
pretrained_name_or_path: ./checkpoints/Cosmos3-Edge/transformer
|
| 133 |
-
rectified_flow_inference_config:
|
| 134 |
-
num_steps: 30
|
| 135 |
-
num_train_timesteps: 1000
|
| 136 |
-
scheduler_type: unipc
|
| 137 |
-
shift: 10.0
|
| 138 |
-
use_dynamic_shifting: false
|
| 139 |
-
use_karras_sigmas: false
|
| 140 |
-
rectified_flow_training_config:
|
| 141 |
-
action_loss_weight: 10.0
|
| 142 |
-
independent_action_schedule: false
|
| 143 |
-
normalize_loss_by_active: false
|
| 144 |
-
shift:
|
| 145 |
-
'256': 3
|
| 146 |
-
'480': 5
|
| 147 |
-
'720': 10
|
| 148 |
-
shift_action: null
|
| 149 |
-
train_time_action_distribution: logitnormal
|
| 150 |
-
train_time_image_distribution: logitnormal
|
| 151 |
-
train_time_video_distribution: waver
|
| 152 |
-
train_time_weight: uniform
|
| 153 |
-
use_discrete_rf: false
|
| 154 |
-
use_dynamic_shift: false
|
| 155 |
-
use_high_sigma_strategy: false
|
| 156 |
-
use_high_sigma_strategy_action: false
|
| 157 |
-
vision_loss_weight: 10.0
|
| 158 |
-
reinitialize_action_policy: true
|
| 159 |
-
special_tokens:
|
| 160 |
-
end_of_generation: 21
|
| 161 |
-
eos_token_id: 11
|
| 162 |
-
start_of_generation: 20
|
| 163 |
-
strict_mapping: true
|
| 164 |
-
timestep_scale: 0.001
|
| 165 |
-
type: Cosmos3FlowMatching
|
| 166 |
-
unified_3d_mrope_reset_spatial_ids: true
|
| 167 |
-
unified_3d_mrope_temporal_modality_margin: 15000
|
| 168 |
-
vision_in_proj:
|
| 169 |
-
in_dim: 192
|
| 170 |
-
out_dim: 2048
|
| 171 |
-
type: LinearProjector
|
| 172 |
-
vision_latent_dim: 48
|
| 173 |
-
vision_out_proj:
|
| 174 |
-
in_dim: 2048
|
| 175 |
-
out_dim: 192
|
| 176 |
-
type: LinearProjector
|
| 177 |
-
vision_vae:
|
| 178 |
-
encode_exact_durations:
|
| 179 |
-
- 17
|
| 180 |
-
pretrained_name_or_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 181 |
-
type: Cosmos3Wan22VAE
|
| 182 |
-
vlm_backbone:
|
| 183 |
-
include_visual: false
|
| 184 |
-
skip_init_weights: true
|
| 185 |
-
type: Cosmos3MoTBackbone
|
| 186 |
-
vlm_config:
|
| 187 |
-
attention_bias: false
|
| 188 |
-
bos_token_id: 1
|
| 189 |
-
enable_mrope: true
|
| 190 |
-
eos_token_id: 11
|
| 191 |
-
head_dim: 128
|
| 192 |
-
hidden_size: 2048
|
| 193 |
-
intermediate_size: 9216
|
| 194 |
-
layer_norm_epsilon: 1.0e-05
|
| 195 |
-
max_position_embeddings: 131072
|
| 196 |
-
mlp_bias: false
|
| 197 |
-
mlp_hidden_act: relu2
|
| 198 |
-
model_type: nemotron_3_dense_vl_text
|
| 199 |
-
mrope_section:
|
| 200 |
-
- 24
|
| 201 |
-
- 20
|
| 202 |
-
- 20
|
| 203 |
-
num_attention_heads: 16
|
| 204 |
-
num_hidden_layers: 28
|
| 205 |
-
num_key_value_heads: 8
|
| 206 |
-
pad_token_id: 11
|
| 207 |
-
rope_theta: 100000000.0
|
| 208 |
-
tie_word_embeddings: false
|
| 209 |
-
use_und_k_norm_for_gen: true
|
| 210 |
-
vocab_size: 131072
|
| 211 |
-
model:
|
| 212 |
-
action_horizon: 16
|
| 213 |
-
action_in_proj:
|
| 214 |
-
input_size: 64
|
| 215 |
-
num_domains: 32
|
| 216 |
-
output_size: 2048
|
| 217 |
-
type: DomainAwareLinear
|
| 218 |
-
action_out_proj:
|
| 219 |
-
input_size: 2048
|
| 220 |
-
num_domains: 32
|
| 221 |
-
output_size: 64
|
| 222 |
-
type: DomainAwareLinear
|
| 223 |
-
base_fps: 24.0
|
| 224 |
-
enable_fps_modulation: true
|
| 225 |
-
enable_vision_loss: true
|
| 226 |
-
freeze_non_moe_vlm_backbone: true
|
| 227 |
-
freeze_vlm_backbone: false
|
| 228 |
-
latent_patch_size: 2
|
| 229 |
-
max_action_dim: 64
|
| 230 |
-
name_mapping:
|
| 231 |
-
.self_attn.k_norm_moe_gen.: .self_attn.norm_added_k.
|
| 232 |
-
.self_attn.k_proj.: .self_attn.to_k.
|
| 233 |
-
.self_attn.k_proj_moe_gen.: .self_attn.add_k_proj.
|
| 234 |
-
.self_attn.o_proj.: .self_attn.to_out.
|
| 235 |
-
.self_attn.o_proj_moe_gen.: .self_attn.to_add_out.
|
| 236 |
-
.self_attn.q_norm_moe_gen.: .self_attn.norm_added_q.
|
| 237 |
-
.self_attn.q_proj.: .self_attn.to_q.
|
| 238 |
-
.self_attn.q_proj_moe_gen.: .self_attn.add_q_proj.
|
| 239 |
-
.self_attn.v_proj.: .self_attn.to_v.
|
| 240 |
-
.self_attn.v_proj_moe_gen.: .self_attn.add_v_proj.
|
| 241 |
-
action_in_proj.: action_proj_in.
|
| 242 |
-
action_modality_embed: action_modality_embed
|
| 243 |
-
action_out_proj.: action_proj_out.
|
| 244 |
-
time_embedder.mlp.0.: time_embedder.linear_1.
|
| 245 |
-
time_embedder.mlp.2.: time_embedder.linear_2.
|
| 246 |
-
vision_in_proj.projector.: proj_in.
|
| 247 |
-
vision_out_proj.projector.: proj_out.
|
| 248 |
-
vlm_backbone.lm_head.weight: lm_head.weight
|
| 249 |
-
vlm_backbone.model.language_model.embed_tokens.weight: embed_tokens.weight
|
| 250 |
-
vlm_backbone.model.language_model.layers.: layers.
|
| 251 |
-
vlm_backbone.model.language_model.norm.weight: norm.weight
|
| 252 |
-
vlm_backbone.model.language_model.norm_moe_gen.weight: norm_moe_gen.weight
|
| 253 |
-
num_embodiment_domains: 32
|
| 254 |
-
ori_action_dim: 10
|
| 255 |
-
packed_attention_backend: flash2
|
| 256 |
-
position_embedding_type: unified_3d_mrope
|
| 257 |
-
pretrained_name_or_path: ./checkpoints/Cosmos3-Edge/transformer
|
| 258 |
-
rectified_flow_inference_config:
|
| 259 |
-
num_steps: 30
|
| 260 |
-
num_train_timesteps: 1000
|
| 261 |
-
scheduler_type: unipc
|
| 262 |
-
shift: 10.0
|
| 263 |
-
use_dynamic_shifting: false
|
| 264 |
-
use_karras_sigmas: false
|
| 265 |
-
rectified_flow_training_config:
|
| 266 |
-
action_loss_weight: 10.0
|
| 267 |
-
independent_action_schedule: false
|
| 268 |
-
normalize_loss_by_active: false
|
| 269 |
-
shift:
|
| 270 |
-
'256': 3
|
| 271 |
-
'480': 5
|
| 272 |
-
'720': 10
|
| 273 |
-
shift_action: null
|
| 274 |
-
train_time_action_distribution: logitnormal
|
| 275 |
-
train_time_image_distribution: logitnormal
|
| 276 |
-
train_time_video_distribution: waver
|
| 277 |
-
train_time_weight: uniform
|
| 278 |
-
use_discrete_rf: false
|
| 279 |
-
use_dynamic_shift: false
|
| 280 |
-
use_high_sigma_strategy: false
|
| 281 |
-
use_high_sigma_strategy_action: false
|
| 282 |
-
vision_loss_weight: 10.0
|
| 283 |
-
reinitialize_action_policy: true
|
| 284 |
-
special_tokens:
|
| 285 |
-
end_of_generation: 21
|
| 286 |
-
eos_token_id: 11
|
| 287 |
-
start_of_generation: 20
|
| 288 |
-
strict_mapping: true
|
| 289 |
-
timestep_scale: 0.001
|
| 290 |
-
type: Cosmos3FlowMatching
|
| 291 |
-
unified_3d_mrope_reset_spatial_ids: true
|
| 292 |
-
unified_3d_mrope_temporal_modality_margin: 15000
|
| 293 |
-
vision_in_proj:
|
| 294 |
-
in_dim: 192
|
| 295 |
-
out_dim: 2048
|
| 296 |
-
type: LinearProjector
|
| 297 |
-
vision_latent_dim: 48
|
| 298 |
-
vision_out_proj:
|
| 299 |
-
in_dim: 2048
|
| 300 |
-
out_dim: 192
|
| 301 |
-
type: LinearProjector
|
| 302 |
-
vision_vae:
|
| 303 |
-
encode_exact_durations:
|
| 304 |
-
- 17
|
| 305 |
-
pretrained_name_or_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 306 |
-
type: Cosmos3Wan22VAE
|
| 307 |
-
vlm_backbone:
|
| 308 |
-
include_visual: false
|
| 309 |
-
skip_init_weights: true
|
| 310 |
-
type: Cosmos3MoTBackbone
|
| 311 |
-
vlm_config:
|
| 312 |
-
attention_bias: false
|
| 313 |
-
bos_token_id: 1
|
| 314 |
-
enable_mrope: true
|
| 315 |
-
eos_token_id: 11
|
| 316 |
-
head_dim: 128
|
| 317 |
-
hidden_size: 2048
|
| 318 |
-
intermediate_size: 9216
|
| 319 |
-
layer_norm_epsilon: 1.0e-05
|
| 320 |
-
max_position_embeddings: 131072
|
| 321 |
-
mlp_bias: false
|
| 322 |
-
mlp_hidden_act: relu2
|
| 323 |
-
model_type: nemotron_3_dense_vl_text
|
| 324 |
-
mrope_section:
|
| 325 |
-
- 24
|
| 326 |
-
- 20
|
| 327 |
-
- 20
|
| 328 |
-
num_attention_heads: 16
|
| 329 |
-
num_hidden_layers: 28
|
| 330 |
-
num_key_value_heads: 8
|
| 331 |
-
pad_token_id: 11
|
| 332 |
-
rope_theta: 100000000.0
|
| 333 |
-
tie_word_embeddings: false
|
| 334 |
-
use_und_k_norm_for_gen: true
|
| 335 |
-
vocab_size: 131072
|
| 336 |
-
runner:
|
| 337 |
-
change_key_name: false
|
| 338 |
-
collator:
|
| 339 |
-
list_keys:
|
| 340 |
-
- sequence_plan
|
| 341 |
-
meta_keys:
|
| 342 |
-
- task_description
|
| 343 |
-
- stats
|
| 344 |
-
- info
|
| 345 |
-
- timestamp
|
| 346 |
-
pad_id: 11
|
| 347 |
-
sequence_keys:
|
| 348 |
-
- text_token_ids
|
| 349 |
-
tensor_keys:
|
| 350 |
-
- images
|
| 351 |
-
- actions
|
| 352 |
-
- embodiment_ids
|
| 353 |
-
- raw_action_dim
|
| 354 |
-
- conditioning_fps
|
| 355 |
-
- action_fps
|
| 356 |
-
type: Cosmos3Collator
|
| 357 |
-
enable_gradient_checkpointing: true
|
| 358 |
-
enable_mixed_precision_training: true
|
| 359 |
-
grad_accumulation_steps: 16
|
| 360 |
-
lr_scheduler:
|
| 361 |
-
cycle_length: 16000
|
| 362 |
-
type: linear-warmup+linear-decay
|
| 363 |
-
warmup_steps: 500
|
| 364 |
-
max_epochs: null
|
| 365 |
-
max_grad_norm: 1.0
|
| 366 |
-
max_keep_ckpts: 2
|
| 367 |
-
max_steps: 2000
|
| 368 |
-
metric:
|
| 369 |
-
active_trackers:
|
| 370 |
-
- jsonl
|
| 371 |
-
- wandb
|
| 372 |
-
grad_accumulation_steps: 16
|
| 373 |
-
run_dir: work_dirs
|
| 374 |
-
type: VLAMetric
|
| 375 |
-
window_size: 1
|
| 376 |
-
mixed_precision_dtype: bf16
|
| 377 |
-
optimizer:
|
| 378 |
-
betas:
|
| 379 |
-
- 0.9
|
| 380 |
-
- 0.99
|
| 381 |
-
eps: 1.0e-08
|
| 382 |
-
exclude_1d_from_weight_decay: false
|
| 383 |
-
fused: true
|
| 384 |
-
lr: 5.0e-05
|
| 385 |
-
paramwise_learning_rate:
|
| 386 |
-
action_in_proj.: 0.00025
|
| 387 |
-
action_modality_embed: 0.00025
|
| 388 |
-
action_out_proj.: 0.00025
|
| 389 |
-
type: AdamW
|
| 390 |
-
weight_decay: 0.05
|
| 391 |
-
sampler: null
|
| 392 |
-
save_iter_interval: 500
|
| 393 |
-
sharding_strategy: full-shard
|
| 394 |
-
tokenizer:
|
| 395 |
-
model_max_length: 4096
|
| 396 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 397 |
-
padding_side: right
|
| 398 |
-
trust_remote_code: true
|
| 399 |
-
type: PretrainedTokenizer
|
| 400 |
-
type: FSDPTrainRunner
|
| 401 |
-
seed: 7
|
| 402 |
-
train_dataloader:
|
| 403 |
-
dataset:
|
| 404 |
-
datasets:
|
| 405 |
-
action_key: action
|
| 406 |
-
action_window_size: 16
|
| 407 |
-
data_root_path: /mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_10_no_noops_lerobot
|
| 408 |
-
frame_window_size: 17
|
| 409 |
-
require_full_window: true
|
| 410 |
-
statistic_name: libero_10_no_noops
|
| 411 |
-
transforms:
|
| 412 |
-
- embodiment_id: 5
|
| 413 |
-
name_mappings:
|
| 414 |
-
actions:
|
| 415 |
-
- actions
|
| 416 |
-
observation.state:
|
| 417 |
-
- states
|
| 418 |
-
parquet_keys:
|
| 419 |
-
- observation.state
|
| 420 |
-
- timestamp
|
| 421 |
-
- actions
|
| 422 |
-
- info
|
| 423 |
-
- stats
|
| 424 |
-
type: ProcessParquetInputs
|
| 425 |
-
video_keys:
|
| 426 |
-
- observation.images.image
|
| 427 |
-
- observation.images.wrist_image
|
| 428 |
-
- type: LiberoFramewiseActionToRot6D
|
| 429 |
-
- action_metadata:
|
| 430 |
-
append_viewpoint: false
|
| 431 |
-
conditioning_fps: 20.0
|
| 432 |
-
frame_window_size: 17
|
| 433 |
-
video_height: 256
|
| 434 |
-
video_width: 512
|
| 435 |
-
cfg_dropout_rate: 0.1
|
| 436 |
-
max_len: 512
|
| 437 |
-
tokenizer:
|
| 438 |
-
model_max_length: 4096
|
| 439 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 440 |
-
padding_side: right
|
| 441 |
-
trust_remote_code: true
|
| 442 |
-
type: PretrainedTokenizer
|
| 443 |
-
type: ProcessCosmos3Prompt
|
| 444 |
-
- height: 256
|
| 445 |
-
type: ResizeImages
|
| 446 |
-
width: 256
|
| 447 |
-
- type: SimpleNormalizeImages
|
| 448 |
-
- action_dim: 64
|
| 449 |
-
action_key: action
|
| 450 |
-
action_norm_type: quantile
|
| 451 |
-
state_dim: 64
|
| 452 |
-
state_key: proprio
|
| 453 |
-
state_norm_type: none
|
| 454 |
-
type: NormalizeStatesAndActions
|
| 455 |
-
- conditioning_fps: 20.0
|
| 456 |
-
frame_window_size: 17
|
| 457 |
-
mode: wam
|
| 458 |
-
prepend_state_to_action: false
|
| 459 |
-
raw_action_dim: 10
|
| 460 |
-
type: BuildCosmos3Sequence
|
| 461 |
-
- frame_window_size: 17
|
| 462 |
-
num_views: 2
|
| 463 |
-
tile_direction: horizontal
|
| 464 |
-
type: PrepareVideo
|
| 465 |
-
type: ParquetDataset
|
| 466 |
-
use_delta: false
|
| 467 |
-
window_start_idx: 0
|
| 468 |
-
name_mappings:
|
| 469 |
-
action:
|
| 470 |
-
- action
|
| 471 |
-
observation.state:
|
| 472 |
-
- proprio
|
| 473 |
-
statistic_keys:
|
| 474 |
-
- observation.state
|
| 475 |
-
- timestamp
|
| 476 |
-
- action
|
| 477 |
-
statistic_name: libero_10_no_noops
|
| 478 |
-
statistics_overrides:
|
| 479 |
-
libero_10_no_noops:
|
| 480 |
-
action:
|
| 481 |
-
max:
|
| 482 |
-
- 0.9375
|
| 483 |
-
- 0.9375
|
| 484 |
-
- 0.9375
|
| 485 |
-
- 1.0
|
| 486 |
-
- 0.368853
|
| 487 |
-
- 0.341214
|
| 488 |
-
- 0.356395
|
| 489 |
-
- 1.0
|
| 490 |
-
- 0.348251
|
| 491 |
-
- 1.0
|
| 492 |
-
mean:
|
| 493 |
-
- 0.050704
|
| 494 |
-
- 0.097407
|
| 495 |
-
- -0.094833
|
| 496 |
-
- 0.994873
|
| 497 |
-
- -0.004579
|
| 498 |
-
- -0.004288
|
| 499 |
-
- 0.004389
|
| 500 |
-
- 0.996104
|
| 501 |
-
- 0.001109
|
| 502 |
-
- 0.476725
|
| 503 |
-
min:
|
| 504 |
-
- -0.9375
|
| 505 |
-
- -0.9375
|
| 506 |
-
- -0.9375
|
| 507 |
-
- 0.902028
|
| 508 |
-
- -0.356085
|
| 509 |
-
- -0.367416
|
| 510 |
-
- -0.370434
|
| 511 |
-
- 0.921907
|
| 512 |
-
- -0.255
|
| 513 |
-
- 0.0
|
| 514 |
-
q01:
|
| 515 |
-
- -0.723214
|
| 516 |
-
- -0.808929
|
| 517 |
-
- -0.9375
|
| 518 |
-
- 0.934955
|
| 519 |
-
- -0.223431
|
| 520 |
-
- -0.189878
|
| 521 |
-
- -0.334735
|
| 522 |
-
- 0.938516
|
| 523 |
-
- -0.107736
|
| 524 |
-
- 0.0
|
| 525 |
-
q99:
|
| 526 |
-
- 0.9375
|
| 527 |
-
- 0.870536
|
| 528 |
-
- 0.9375
|
| 529 |
-
- 1.0
|
| 530 |
-
- 0.331
|
| 531 |
-
- 0.163153
|
| 532 |
-
- 0.226216
|
| 533 |
-
- 1.0
|
| 534 |
-
- 0.127158
|
| 535 |
-
- 1.0
|
| 536 |
-
std:
|
| 537 |
-
- 0.333621
|
| 538 |
-
- 0.387175
|
| 539 |
-
- 0.45714
|
| 540 |
-
- 0.010807
|
| 541 |
-
- 0.077802
|
| 542 |
-
- 0.063386
|
| 543 |
-
- 0.078571
|
| 544 |
-
- 0.009994
|
| 545 |
-
- 0.038504
|
| 546 |
-
- 0.49946
|
| 547 |
-
type: DistributedRepeatingDataset
|
| 548 |
-
per_device_batch_size: 16
|
| 549 |
-
per_device_num_workers: 4
|
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|
cosmos3edge_libero_10_full_finetune_bs16/cosmos3edge_libero_10_full_finetune_2026_08_04_16_56_51.jsonl
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|
cosmos3edge_libero_10_full_finetune_bs16/dataset_statistics.json
DELETED
|
@@ -1,138 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"libero_10_no_noops": {
|
| 3 |
-
"proprio": {
|
| 4 |
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"mean": [
|
| 5 |
-
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
-
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| 13 |
-
],
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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|
| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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cosmos3edge_libero_10_full_finetune_bs16/run-metrics.jsonl
DELETED
|
@@ -1 +0,0 @@
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| 1 |
-
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'action_modality_embed': 'action_modality_embed', 'action_out_proj.': 'action_proj_out.', 'time_embedder.mlp.0.': 'time_embedder.linear_1.', 'time_embedder.mlp.2.': 'time_embedder.linear_2.', 'vision_in_proj.projector.': 'proj_in.', 'vision_out_proj.projector.': 'proj_out.', 'vlm_backbone.lm_head.weight': 'lm_head.weight', 'vlm_backbone.model.language_model.embed_tokens.weight': 'embed_tokens.weight', 'vlm_backbone.model.language_model.layers.': 'layers.', 'vlm_backbone.model.language_model.norm.weight': 'norm.weight', 'vlm_backbone.model.language_model.norm_moe_gen.weight': 'norm_moe_gen.weight'}, 'num_embodiment_domains': 32, 'ori_action_dim': 10, 'packed_attention_backend': 'flash2', 'position_embedding_type': 'unified_3d_mrope', 'pretrained_name_or_path': './checkpoints/Cosmos3-Edge/transformer', 'reinitialize_action_policy': True, 'rectified_flow_inference_config': {'num_steps': 30, 'num_train_timesteps': 1000, 'scheduler_type': 'unipc', 'shift': 10.0, 'use_dynamic_shifting': False, 'use_karras_sigmas': False}, 'rectified_flow_training_config': {'action_loss_weight': 10.0, 'independent_action_schedule': False, 'normalize_loss_by_active': False, 'shift': {'256': 3, '480': 5, '720': 10}, 'shift_action': None, 'train_time_action_distribution': 'logitnormal', 'train_time_image_distribution': 'logitnormal', 'train_time_video_distribution': 'waver', 'train_time_weight': 'uniform', 'use_discrete_rf': False, 'use_dynamic_shift': False, 'use_high_sigma_strategy': False, 'use_high_sigma_strategy_action': False, 'vision_loss_weight': 10.0}, 'special_tokens': {'end_of_generation': 21, 'eos_token_id': 11, 'start_of_generation': 20}, 'strict_mapping': True, 'timestep_scale': 0.001, 'type': 'Cosmos3FlowMatching', 'unified_3d_mrope_reset_spatial_ids': True, 'unified_3d_mrope_temporal_modality_margin': 15000, 'vision_in_proj': {'in_dim': 192, 'out_dim': 2048, 'type': 'LinearProjector'}, 'vision_latent_dim': 48, 'vision_out_proj': {'in_dim': 2048, 'out_dim': 192, 'type': 'LinearProjector'}, 'vision_vae': {'encode_exact_durations': [17], 'pretrained_name_or_path': './checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth', 'type': 'Cosmos3Wan22VAE'}, 'vlm_backbone': {'include_visual': False, 'skip_init_weights': True, 'type': 'Cosmos3MoTBackbone', 'vlm_config': {'attention_bias': False, 'bos_token_id': 1, 'enable_mrope': True, 'eos_token_id': 11, 'head_dim': 128, 'hidden_size': 2048, 'intermediate_size': 9216, 'layer_norm_epsilon': 1e-05, 'max_position_embeddings': 131072, 'mlp_bias': False, 'mlp_hidden_act': 'relu2', 'model_type': 'nemotron_3_dense_vl_text', 'mrope_section': [24, 20, 20], 'num_attention_heads': 16, 'num_hidden_layers': 28, 'num_key_value_heads': 8, 'pad_token_id': 11, 'rope_theta': 100000000.0, 'tie_word_embeddings': False, 'use_und_k_norm_for_gen': True, 'vocab_size': 131072}}}, 'model': {'action_horizon': 16, 'action_in_proj': {'input_size': 64, 'num_domains': 32, 'output_size': 2048, 'type': 'DomainAwareLinear'}, 'action_out_proj': {'input_size': 2048, 'num_domains': 32, 'output_size': 64, 'type': 'DomainAwareLinear'}, 'base_fps': 24.0, 'enable_fps_modulation': True, 'enable_vision_loss': True, 'freeze_non_moe_vlm_backbone': True, 'freeze_vlm_backbone': False, 'latent_patch_size': 2, 'max_action_dim': 64, 'name_mapping': {'.self_attn.k_norm_moe_gen.': '.self_attn.norm_added_k.', '.self_attn.k_proj.': '.self_attn.to_k.', '.self_attn.k_proj_moe_gen.': '.self_attn.add_k_proj.', '.self_attn.o_proj.': '.self_attn.to_out.', '.self_attn.o_proj_moe_gen.': '.self_attn.to_add_out.', '.self_attn.q_norm_moe_gen.': '.self_attn.norm_added_q.', '.self_attn.q_proj.': '.self_attn.to_q.', '.self_attn.q_proj_moe_gen.': '.self_attn.add_q_proj.', '.self_attn.v_proj.': '.self_attn.to_v.', '.self_attn.v_proj_moe_gen.': '.self_attn.add_v_proj.', 'action_in_proj.': 'action_proj_in.', 'action_modality_embed': 'action_modality_embed', 'action_out_proj.': 'action_proj_out.', 'time_embedder.mlp.0.': 'time_embedder.linear_1.', 'time_embedder.mlp.2.': 'time_embedder.linear_2.', 'vision_in_proj.projector.': 'proj_in.', 'vision_out_proj.projector.': 'proj_out.', 'vlm_backbone.lm_head.weight': 'lm_head.weight', 'vlm_backbone.model.language_model.embed_tokens.weight': 'embed_tokens.weight', 'vlm_backbone.model.language_model.layers.': 'layers.', 'vlm_backbone.model.language_model.norm.weight': 'norm.weight', 'vlm_backbone.model.language_model.norm_moe_gen.weight': 'norm_moe_gen.weight'}, 'num_embodiment_domains': 32, 'ori_action_dim': 10, 'packed_attention_backend': 'flash2', 'position_embedding_type': 'unified_3d_mrope', 'pretrained_name_or_path': './checkpoints/Cosmos3-Edge/transformer', 'reinitialize_action_policy': True, 'rectified_flow_inference_config': {'num_steps': 30, 'num_train_timesteps': 1000, 'scheduler_type': 'unipc', 'shift': 10.0, 'use_dynamic_shifting': False, 'use_karras_sigmas': False}, 'rectified_flow_training_config': {'action_loss_weight': 10.0, 'independent_action_schedule': False, 'normalize_loss_by_active': False, 'shift': {'256': 3, '480': 5, '720': 10}, 'shift_action': None, 'train_time_action_distribution': 'logitnormal', 'train_time_image_distribution': 'logitnormal', 'train_time_video_distribution': 'waver', 'train_time_weight': 'uniform', 'use_discrete_rf': False, 'use_dynamic_shift': False, 'use_high_sigma_strategy': False, 'use_high_sigma_strategy_action': False, 'vision_loss_weight': 10.0}, 'special_tokens': {'end_of_generation': 21, 'eos_token_id': 11, 'start_of_generation': 20}, 'strict_mapping': True, 'timestep_scale': 0.001, 'type': 'Cosmos3FlowMatching', 'unified_3d_mrope_reset_spatial_ids': True, 'unified_3d_mrope_temporal_modality_margin': 15000, 'vision_in_proj': {'in_dim': 192, 'out_dim': 2048, 'type': 'LinearProjector'}, 'vision_latent_dim': 48, 'vision_out_proj': {'in_dim': 2048, 'out_dim': 192, 'type': 'LinearProjector'}, 'vision_vae': {'encode_exact_durations': [17], 'pretrained_name_or_path': './checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth', 'type': 'Cosmos3Wan22VAE'}, 'vlm_backbone': {'include_visual': False, 'skip_init_weights': True, 'type': 'Cosmos3MoTBackbone', 'vlm_config': {'attention_bias': False, 'bos_token_id': 1, 'enable_mrope': True, 'eos_token_id': 11, 'head_dim': 128, 'hidden_size': 2048, 'intermediate_size': 9216, 'layer_norm_epsilon': 1e-05, 'max_position_embeddings': 131072, 'mlp_bias': False, 'mlp_hidden_act': 'relu2', 'model_type': 'nemotron_3_dense_vl_text', 'mrope_section': [24, 20, 20], 'num_attention_heads': 16, 'num_hidden_layers': 28, 'num_key_value_heads': 8, 'pad_token_id': 11, 'rope_theta': 100000000.0, 'tie_word_embeddings': False, 'use_und_k_norm_for_gen': True, 'vocab_size': 131072}}}, 'runner': {'change_key_name': False, 'collator': {'list_keys': ['sequence_plan'], 'meta_keys': ['task_description', 'stats', 'info', 'timestamp'], 'pad_id': 11, 'sequence_keys': ['text_token_ids'], 'tensor_keys': ['images', 'actions', 'embodiment_ids', 'raw_action_dim', 'conditioning_fps', 'action_fps'], 'type': 'Cosmos3Collator'}, 'enable_gradient_checkpointing': True, 'enable_mixed_precision_training': True, 'grad_accumulation_steps': 16, 'lr_scheduler': {'cycle_length': 16000, 'type': 'linear-warmup+linear-decay', 'warmup_steps': 500}, 'max_epochs': None, 'max_grad_norm': 1.0, 'max_keep_ckpts': 2, 'max_steps': 2000, 'metric': {'active_trackers': ('jsonl', 'wandb'), 'grad_accumulation_steps': 16, 'run_dir': '/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_10_edge_pr51_latest_bs16', 'type': 'VLAMetric', 'window_size': 1}, 'mixed_precision_dtype': 'bf16', 'optimizer': {'betas': (0.9, 0.99), 'eps': 1e-08, 'exclude_1d_from_weight_decay': False, 'fused': True, 'lr': 5e-05, 'paramwise_learning_rate': {'action_in_proj.': 0.00025, 'action_modality_embed': 0.00025, 'action_out_proj.': 0.00025}, 'type': 'AdamW', 'weight_decay': 0.05}, 'sampler': None, 'save_iter_interval': 500, 'sharding_strategy': 'full-shard', 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'FSDPTrainRunner', 'cfg': Config (path: configs/cosmos3/cosmos3edge_libero_10_full_finetune.py): {...}, 'args': Namespace(config='configs/cosmos3/cosmos3edge_libero_10_full_finetune.py', work_dir='/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_10_edge_pr51_latest_bs16', cfg_options={'train_dataloader.per_device_batch_size': 16, 'runner.grad_accumulation_steps': 16, 'runner.metric.grad_accumulation_steps': 16}, eval_after_train=True, resume_from=None)}, 'seed': 7, 'train_dataloader': {'dataset': {'datasets': {'action_key': 'action', 'action_window_size': 16, 'data_root_path': '/mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_10_no_noops_lerobot', 'frame_window_size': 17, 'require_full_window': True, 'statistic_name': 'libero_10_no_noops', 'transforms': [{'embodiment_id': 5, 'name_mappings': {'actions': ['actions'], 'observation.state': ['states']}, 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats'], 'type': 'ProcessParquetInputs', 'video_keys': ['observation.images.image', 'observation.images.wrist_image']}, {'type': 'LiberoFramewiseActionToRot6D'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.1, 'max_len': 512, 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'ProcessCosmos3Prompt'}, {'height': 256, 'type': 'ResizeImages', 'width': 256}, {'type': 'SimpleNormalizeImages'}, {'action_dim': 64, 'action_key': 'action', 'action_norm_type': 'quantile', 'state_norm_type': 'none', 'state_dim': 64, 'state_key': 'proprio', 'type': 'NormalizeStatesAndActions'}, {'conditioning_fps': 20.0, 'frame_window_size': 17, 'mode': 'wam', 'prepend_state_to_action': False, 'raw_action_dim': 10, 'type': 'BuildCosmos3Sequence'}, {'frame_window_size': 17, 'num_views': 2, 'tile_direction': 'horizontal', 'type': 'PrepareVideo'}], 'type': 'ParquetDataset', 'use_delta': False, 'window_start_idx': 0}, 'name_mappings': {'action': ['action'], 'observation.state': ['proprio']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_10_no_noops', 'statistics_overrides': {'libero_10_no_noops': {'action': {'mean': [0.050704, 0.097407, -0.094833, 0.994873, -0.004579, -0.004288, 0.004389, 0.996104, 0.001109, 0.476725], 'std': [0.333621, 0.387175, 0.45714, 0.010807, 0.077802, 0.063386, 0.078571, 0.009994, 0.038504, 0.49946], 'min': [-0.9375, -0.9375, -0.9375, 0.902028, -0.356085, -0.367416, -0.370434, 0.921907, -0.255, 0.0], 'max': [0.9375, 0.9375, 0.9375, 1.0, 0.368853, 0.341214, 0.356395, 1.0, 0.348251, 1.0], 'q01': [-0.723214, -0.808929, -0.9375, 0.934955, -0.223431, -0.189878, -0.334735, 0.938516, -0.107736, 0.0], 'q99': [0.9375, 0.870536, 0.9375, 1.0, 0.331, 0.163153, 0.226216, 1.0, 0.127158, 1.0]}}}, 'type': 'DistributedRepeatingDataset'}, 'per_device_batch_size': 16, 'per_device_num_workers': 4}}, 'args': Namespace(config='configs/cosmos3/cosmos3edge_libero_10_full_finetune.py', work_dir='/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_10_edge_pr51_latest_bs16', cfg_options={'train_dataloader.per_device_batch_size': 16, 'runner.grad_accumulation_steps': 16, 'runner.metric.grad_accumulation_steps': 16}, eval_after_train=True, resume_from=None)}, 'seed': 7, 'train_dataloader': {'dataset': {'datasets': {'action_key': 'action', 'action_window_size': 16, 'data_root_path': '/mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_10_no_noops_lerobot', 'frame_window_size': 17, 'require_full_window': True, 'statistic_name': 'libero_10_no_noops', 'transforms': [{'embodiment_id': 5, 'name_mappings': {'actions': ['actions'], 'observation.state': ['states']}, 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats'], 'type': 'ProcessParquetInputs', 'video_keys': ['observation.images.image', 'observation.images.wrist_image']}, {'type': 'LiberoFramewiseActionToRot6D'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.1, 'max_len': 512, 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'ProcessCosmos3Prompt'}, {'height': 256, 'type': 'ResizeImages', 'width': 256}, {'type': 'SimpleNormalizeImages'}, {'action_dim': 64, 'action_key': 'action', 'action_norm_type': 'quantile', 'state_norm_type': 'none', 'state_dim': 64, 'state_key': 'proprio', 'type': 'NormalizeStatesAndActions'}, {'conditioning_fps': 20.0, 'frame_window_size': 17, 'mode': 'wam', 'prepend_state_to_action': False, 'raw_action_dim': 10, 'type': 'BuildCosmos3Sequence'}, {'frame_window_size': 17, 'num_views': 2, 'tile_direction': 'horizontal', 'type': 'PrepareVideo'}], 'type': 'ParquetDataset', 'use_delta': False, 'window_start_idx': 0}, 'name_mappings': {'action': ['action'], 'observation.state': ['proprio']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_10_no_noops', 'statistics_overrides': {'libero_10_no_noops': {'action': {'mean': [0.050704, 0.097407, -0.094833, 0.994873, -0.004579, -0.004288, 0.004389, 0.996104, 0.001109, 0.476725], 'std': [0.333621, 0.387175, 0.45714, 0.010807, 0.077802, 0.063386, 0.078571, 0.009994, 0.038504, 0.49946], 'min': [-0.9375, -0.9375, -0.9375, 0.902028, -0.356085, -0.367416, -0.370434, 0.921907, -0.255, 0.0], 'max': [0.9375, 0.9375, 0.9375, 1.0, 0.368853, 0.341214, 0.356395, 1.0, 0.348251, 1.0], 'q01': [-0.723214, -0.808929, -0.9375, 0.934955, -0.223431, -0.189878, -0.334735, 0.938516, -0.107736, 0.0], 'q99': [0.9375, 0.870536, 0.9375, 1.0, 0.331, 0.163153, 0.226216, 1.0, 0.127158, 1.0]}}}, 'type': 'DistributedRepeatingDataset'}, 'per_device_batch_size': 16, 'per_device_num_workers': 4}}", "run_id": "cosmos3edge_libero_10_full_finetune_2026_08_04_16_56_51"}
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cosmos3edge_libero_10_full_finetune_bs16/tokenizer/chat_template.jinja
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@@ -1,324 +0,0 @@
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-
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{% macro render_extra_keys(json_dict, handled_keys) %}
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-
{%- if json_dict is mapping %}
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-
{%- for json_key in json_dict if json_key not in handled_keys %}
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{%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
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{{- '
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<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
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{%- else %}
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-
{{-'
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<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{% endmacro %}
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{%- set enable_thinking = enable_thinking if enable_thinking is defined else True %}
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{%- set truncate_history_thinking = truncate_history_thinking if truncate_history_thinking is defined else True %}
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-
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{%- set ns = namespace(last_user_idx = -1) %}
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{%- set loop_messages = messages %}
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{%- for m in loop_messages %}
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{%- if m["role"] == "user" %}
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{%- set ns.last_user_idx = loop.index0 %}
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{%- endif %}
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{%- endfor %}
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-
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{%- if messages[0]["role"] == "system" %}
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{%- if messages[0]["content"] is string %}
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{%- set system_message = messages[0]["content"] %}
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{%- else %}
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{%- set ns = namespace(system_text="") %}
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{%- for part in messages[0]["content"] %}
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{%- if 'text' in part %}
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{%- set ns.system_text = ns.system_text + part.text %}
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{%- endif %}
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{%- endfor %}
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{%- set system_message = ns.system_text %}
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{%- endif %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- set loop_messages = messages %}
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-
{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = [] %}
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{%- endif %}
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{# Recompute last_user_idx relative to loop_messages after handling system #}
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{%- set ns = namespace(last_user_idx = -1) %}
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{%- for m in loop_messages %}
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{%- if m["role"] == "user" %}
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{%- set ns.last_user_idx = loop.index0 %}
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{%- endif %}
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{%- endfor %}
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{%- if system_message is defined %}
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{{- "<|im_start|>system
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" + system_message }}
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{%- else %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "<|im_start|>system
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" }}
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{%- endif %}
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{%- endif %}
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{%- if tools is iterable and tools | length > 0 %}
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{%- if system_message is defined and system_message | length > 0 %}
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{{- "
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-
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" }}
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{%- endif %}
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| 69 |
-
{{- "# Tools
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| 70 |
-
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| 71 |
-
You have access to the following functions:
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| 72 |
-
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" }}
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{{- "<tools>" }}
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| 75 |
-
{%- for tool in tools %}
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| 76 |
-
{%- if tool.function is defined %}
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| 77 |
-
{%- set tool = tool.function %}
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| 78 |
-
{%- endif %}
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| 79 |
-
{{- "
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| 80 |
-
<function>
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| 81 |
-
<name>" ~ tool.name ~ "</name>" }}
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| 82 |
-
{%- if tool.description is defined %}
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| 83 |
-
{{- '
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| 84 |
-
<description>' ~ (tool.description | trim) ~ '</description>' }}
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| 85 |
-
{%- endif %}
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| 86 |
-
{{- '
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| 87 |
-
<parameters>' }}
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| 88 |
-
{%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
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| 89 |
-
{%- for param_name, param_fields in tool.parameters.properties|items %}
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| 90 |
-
{{- '
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| 91 |
-
<parameter>' }}
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| 92 |
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{{- '
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| 93 |
-
<name>' ~ param_name ~ '</name>' }}
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| 94 |
-
{%- if param_fields.type is defined %}
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| 95 |
-
{{- '
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| 96 |
-
<type>' ~ (param_fields.type | string) ~ '</type>' }}
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| 97 |
-
{%- endif %}
|
| 98 |
-
{%- if param_fields.description is defined %}
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| 99 |
-
{{- '
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| 100 |
-
<description>' ~ (param_fields.description | trim) ~ '</description>' }}
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| 101 |
-
{%- endif %}
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| 102 |
-
{%- if param_fields.enum is defined %}
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| 103 |
-
{{- '
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| 104 |
-
<enum>' ~ (param_fields.enum | tojson | safe) ~ '</enum>' }}
|
| 105 |
-
{%- endif %}
|
| 106 |
-
{%- set handled_keys = ['name', 'type', 'description', 'enum'] %}
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| 107 |
-
{{- render_extra_keys(param_fields, handled_keys) }}
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| 108 |
-
{{- '
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-
</parameter>' }}
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-
{%- endfor %}
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| 111 |
-
{%- endif %}
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| 112 |
-
{% set handled_keys = ['type', 'properties', 'required'] %}
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| 113 |
-
{{- render_extra_keys(tool.parameters, handled_keys) }}
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| 114 |
-
{%- if tool.parameters is defined and tool.parameters.required is defined %}
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| 115 |
-
{{- '
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| 116 |
-
<required>' ~ (tool.parameters.required | tojson | safe) ~ '</required>' }}
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| 117 |
-
{%- endif %}
|
| 118 |
-
{{- '
|
| 119 |
-
</parameters>' }}
|
| 120 |
-
{%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
|
| 121 |
-
{{- render_extra_keys(tool, handled_keys) }}
|
| 122 |
-
{{- '
|
| 123 |
-
</function>' }}
|
| 124 |
-
{%- endfor %}
|
| 125 |
-
{{- "
|
| 126 |
-
</tools>" }}
|
| 127 |
-
|
| 128 |
-
{{- '
|
| 129 |
-
|
| 130 |
-
If you choose to call a function ONLY reply in the following format with NO suffix:
|
| 131 |
-
|
| 132 |
-
<tool_call>
|
| 133 |
-
<function=example_function_name>
|
| 134 |
-
<parameter=example_parameter_1>
|
| 135 |
-
value_1
|
| 136 |
-
</parameter>
|
| 137 |
-
<parameter=example_parameter_2>
|
| 138 |
-
This is the value for the second parameter
|
| 139 |
-
that can span
|
| 140 |
-
multiple lines
|
| 141 |
-
</parameter>
|
| 142 |
-
</function>
|
| 143 |
-
</tool_call>
|
| 144 |
-
|
| 145 |
-
<IMPORTANT>
|
| 146 |
-
Reminder:
|
| 147 |
-
- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags
|
| 148 |
-
- Required parameters MUST be specified
|
| 149 |
-
- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after
|
| 150 |
-
- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls
|
| 151 |
-
</IMPORTANT>' }}
|
| 152 |
-
{%- endif %}
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
{%- if system_message is defined %}
|
| 156 |
-
{{- '<|im_end|>
|
| 157 |
-
' }}
|
| 158 |
-
{%- else %}
|
| 159 |
-
{%- if tools is iterable and tools | length > 0 %}
|
| 160 |
-
{{- '<|im_end|>
|
| 161 |
-
' }}
|
| 162 |
-
{%- endif %}
|
| 163 |
-
{%- endif %}
|
| 164 |
-
|
| 165 |
-
{%- set image_count = namespace(value=0) %}
|
| 166 |
-
{%- set video_count = namespace(value=0) %}
|
| 167 |
-
{%- for message in loop_messages %}
|
| 168 |
-
{%- if message.role == "assistant" %}
|
| 169 |
-
{# Add reasoning content in to content field for unified processing below. #}
|
| 170 |
-
{%- set text_content = namespace(text_content="") -%}
|
| 171 |
-
{%- if message.content is string %}
|
| 172 |
-
{%- set text_content.text_content = message.content %}
|
| 173 |
-
{%- else %}
|
| 174 |
-
{%- for content in message.content %}
|
| 175 |
-
{%- if 'text' in content %}
|
| 176 |
-
{%- set text_content.text_content = content.text %}
|
| 177 |
-
{%- break %}
|
| 178 |
-
{%- endif %}
|
| 179 |
-
{%- endfor %}
|
| 180 |
-
{%- endif %}
|
| 181 |
-
{%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
|
| 182 |
-
{%- set content = "<think>
|
| 183 |
-
" ~ message.reasoning_content ~ "
|
| 184 |
-
</think>
|
| 185 |
-
" ~ (text_content.text_content | default('', true)) %}
|
| 186 |
-
{%- else %}
|
| 187 |
-
{%- set content = text_content.text_content | default('', true) %}
|
| 188 |
-
{# Allow downstream logic to to take care of broken thought, only handle coherent reasoning here. #}
|
| 189 |
-
{%- if '<think>' not in content and '</think>' not in content %}
|
| 190 |
-
{%- set content = "<think></think>" ~ content %}
|
| 191 |
-
{%- else %}
|
| 192 |
-
{%- set content = content %}
|
| 193 |
-
{%- endif -%}
|
| 194 |
-
{%- endif %}
|
| 195 |
-
{%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
|
| 196 |
-
{# Assistant message has tool calls. #}
|
| 197 |
-
{{- '<|im_start|>assistant
|
| 198 |
-
' }}
|
| 199 |
-
{%- set include_content = not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 200 |
-
{%- if content is string and content | trim | length > 0 %}
|
| 201 |
-
{%- if include_content %}
|
| 202 |
-
{{- (content | trim) ~ '
|
| 203 |
-
' -}}
|
| 204 |
-
{%- else %}
|
| 205 |
-
{%- set c = (content | string) %}
|
| 206 |
-
{%- if '</think>' in c %}
|
| 207 |
-
{# Keep only content after the last closing think. Also generation prompt causes this. #}
|
| 208 |
-
{%- set c = c.split('</think>')[-1] %}
|
| 209 |
-
{%- elif '<think>' in c %}
|
| 210 |
-
{# If <think> was opened but never closed, drop the trailing think segment #}
|
| 211 |
-
{%- set c = c.split('<think>')[0] %}
|
| 212 |
-
{%- endif %}
|
| 213 |
-
{%- set c = "<think></think>" ~ c | trim %}
|
| 214 |
-
{%- if c | length > 0 %}
|
| 215 |
-
{{- c ~ '
|
| 216 |
-
' -}}
|
| 217 |
-
{%- endif %}
|
| 218 |
-
{%- endif %}
|
| 219 |
-
{%- else %}
|
| 220 |
-
{{- "<think></think>" -}}
|
| 221 |
-
{%- endif %}
|
| 222 |
-
{%- for tool_call in message.tool_calls %}
|
| 223 |
-
{%- if tool_call.function is defined %}
|
| 224 |
-
{%- set tool_call = tool_call.function %}
|
| 225 |
-
{%- endif %}
|
| 226 |
-
{{- '<tool_call>
|
| 227 |
-
<function=' ~ tool_call.name ~ '>
|
| 228 |
-
' -}}
|
| 229 |
-
{%- if tool_call.arguments is defined %}
|
| 230 |
-
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 231 |
-
{{- '<parameter=' ~ args_name ~ '>
|
| 232 |
-
' -}}
|
| 233 |
-
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 234 |
-
{{- args_value ~ '
|
| 235 |
-
</parameter>
|
| 236 |
-
' -}}
|
| 237 |
-
{%- endfor %}
|
| 238 |
-
{%- endif %}
|
| 239 |
-
{{- '</function>
|
| 240 |
-
</tool_call>
|
| 241 |
-
' -}}
|
| 242 |
-
{%- endfor %}
|
| 243 |
-
{{- '<|im_end|>
|
| 244 |
-
' }}
|
| 245 |
-
{%- else %}
|
| 246 |
-
{# Assistant message doesn't have tool calls. #}
|
| 247 |
-
{%- if not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 248 |
-
{{- '<|im_start|>assistant
|
| 249 |
-
' ~ (content | default('', true) | string | trim) ~ '<|im_end|>
|
| 250 |
-
' }}
|
| 251 |
-
{%- else %}
|
| 252 |
-
{%- set c = (content | default('', true) | string) %}
|
| 253 |
-
{%- if '<think>' in c and '</think>' in c %}
|
| 254 |
-
{%- set c = "<think></think>" ~ c.split('</think>')[-1] %}
|
| 255 |
-
{%- endif %}
|
| 256 |
-
{%- set c = c | trim %}
|
| 257 |
-
{%- if c | length > 0 %}
|
| 258 |
-
{{- '<|im_start|>assistant
|
| 259 |
-
' ~ c ~ '<|im_end|>
|
| 260 |
-
' }}
|
| 261 |
-
{%- else %}
|
| 262 |
-
{{- '<|im_start|>assistant
|
| 263 |
-
<|im_end|>
|
| 264 |
-
' }}
|
| 265 |
-
{%- endif %}
|
| 266 |
-
{%- endif %}
|
| 267 |
-
{%- endif %}
|
| 268 |
-
{%- elif message.role == "user" or message.role == "system" %}
|
| 269 |
-
{{- '<|im_start|>' + message.role + '
|
| 270 |
-
' }}
|
| 271 |
-
{%- if message.content is string %}
|
| 272 |
-
{{- message.content }}
|
| 273 |
-
{%- else %}
|
| 274 |
-
{%- for content in message.content %}
|
| 275 |
-
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 276 |
-
{%- set image_count.value = image_count.value + 1 %}
|
| 277 |
-
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 278 |
-
<|vision_start|><|image_pad|><|vision_end|>
|
| 279 |
-
{%- elif content.type == 'video' or 'video' in content %}
|
| 280 |
-
{%- set video_count.value = video_count.value + 1 %}
|
| 281 |
-
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 282 |
-
<|vision_start|><|video_pad|><|vision_end|>
|
| 283 |
-
{%- elif 'text' in content %}
|
| 284 |
-
{{- content.text }}
|
| 285 |
-
{%- endif %}
|
| 286 |
-
{%- endfor %}
|
| 287 |
-
{%- endif %}
|
| 288 |
-
{{- '<|im_end|>
|
| 289 |
-
' }}
|
| 290 |
-
{%- elif message.role == "tool" %}
|
| 291 |
-
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 292 |
-
{{- '<|im_start|>user
|
| 293 |
-
' }}
|
| 294 |
-
{%- endif %}
|
| 295 |
-
{{- '<tool_response>
|
| 296 |
-
' }}
|
| 297 |
-
{{- message.content }}
|
| 298 |
-
{{- '
|
| 299 |
-
</tool_response>
|
| 300 |
-
' }}
|
| 301 |
-
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 302 |
-
{{- '<|im_end|>
|
| 303 |
-
' }}
|
| 304 |
-
{%- elif loop.last %}
|
| 305 |
-
{{- '<|im_end|>
|
| 306 |
-
' }}
|
| 307 |
-
{%- endif %}
|
| 308 |
-
{%- else %}
|
| 309 |
-
{{- '<|im_start|>' + message.role + '
|
| 310 |
-
' + message.content + '<|im_end|>
|
| 311 |
-
' }}
|
| 312 |
-
{%- endif %}
|
| 313 |
-
{%- endfor %}
|
| 314 |
-
|
| 315 |
-
{%- if add_generation_prompt %}
|
| 316 |
-
{%- if enable_thinking %}
|
| 317 |
-
{{- '<|im_start|>assistant
|
| 318 |
-
<think>
|
| 319 |
-
' }}
|
| 320 |
-
{%- else %}
|
| 321 |
-
{{- '<|im_start|>assistant
|
| 322 |
-
<think></think>' }}
|
| 323 |
-
{%- endif %}
|
| 324 |
-
{%- endif %}
|
|
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|
cosmos3edge_libero_10_full_finetune_bs16/tokenizer/special_tokens_map.json
DELETED
|
@@ -1,30 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token": {
|
| 3 |
-
"content": "<s>",
|
| 4 |
-
"lstrip": false,
|
| 5 |
-
"normalized": false,
|
| 6 |
-
"rstrip": false,
|
| 7 |
-
"single_word": false
|
| 8 |
-
},
|
| 9 |
-
"eos_token": {
|
| 10 |
-
"content": "<|im_end|>",
|
| 11 |
-
"lstrip": false,
|
| 12 |
-
"normalized": false,
|
| 13 |
-
"rstrip": false,
|
| 14 |
-
"single_word": false
|
| 15 |
-
},
|
| 16 |
-
"pad_token": {
|
| 17 |
-
"content": "<|im_end|>",
|
| 18 |
-
"lstrip": false,
|
| 19 |
-
"normalized": false,
|
| 20 |
-
"rstrip": false,
|
| 21 |
-
"single_word": false
|
| 22 |
-
},
|
| 23 |
-
"unk_token": {
|
| 24 |
-
"content": "<unk>",
|
| 25 |
-
"lstrip": false,
|
| 26 |
-
"normalized": false,
|
| 27 |
-
"rstrip": false,
|
| 28 |
-
"single_word": false
|
| 29 |
-
}
|
| 30 |
-
}
|
|
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|
| 659 |
-
0.49946
|
| 660 |
-
]
|
| 661 |
-
}
|
| 662 |
-
}
|
| 663 |
-
},
|
| 664 |
-
"type": "DistributedRepeatingDataset"
|
| 665 |
-
},
|
| 666 |
-
"per_device_batch_size": 16,
|
| 667 |
-
"per_device_num_workers": 4
|
| 668 |
-
}
|
| 669 |
-
}
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|
cosmos3edge_libero_goal_full_finetune_bs16/config.yaml
DELETED
|
@@ -1,549 +0,0 @@
|
|
| 1 |
-
eval:
|
| 2 |
-
dataset:
|
| 3 |
-
extra_tensor_keys:
|
| 4 |
-
- conditioning_fps
|
| 5 |
-
- prepend_state_to_action
|
| 6 |
-
img_buffer_len: 1
|
| 7 |
-
transforms:
|
| 8 |
-
- embodiment_id: 5
|
| 9 |
-
img_keys:
|
| 10 |
-
- agentview_image
|
| 11 |
-
- robot0_eye_in_hand_image
|
| 12 |
-
type: ProcessLiberoEvalInputs
|
| 13 |
-
- conditioning_fps: 20.0
|
| 14 |
-
prepend_state_to_action: false
|
| 15 |
-
type: SetCosmos3ActionMetadata
|
| 16 |
-
- image_resize_strategy: resize-naive
|
| 17 |
-
input_sizes:
|
| 18 |
-
- - 3
|
| 19 |
-
- 256
|
| 20 |
-
- 256
|
| 21 |
-
- - 3
|
| 22 |
-
- 256
|
| 23 |
-
- 256
|
| 24 |
-
means:
|
| 25 |
-
- - 127.5
|
| 26 |
-
- 127.5
|
| 27 |
-
- 127.5
|
| 28 |
-
- - 127.5
|
| 29 |
-
- 127.5
|
| 30 |
-
- 127.5
|
| 31 |
-
stds:
|
| 32 |
-
- - 127.5
|
| 33 |
-
- 127.5
|
| 34 |
-
- 127.5
|
| 35 |
-
- - 127.5
|
| 36 |
-
- 127.5
|
| 37 |
-
- 127.5
|
| 38 |
-
type: TransformImage
|
| 39 |
-
- action_metadata:
|
| 40 |
-
append_viewpoint: false
|
| 41 |
-
conditioning_fps: 20.0
|
| 42 |
-
frame_window_size: 17
|
| 43 |
-
video_height: 256
|
| 44 |
-
video_width: 512
|
| 45 |
-
cfg_dropout_rate: 0.0
|
| 46 |
-
max_len: 512
|
| 47 |
-
output_attention_mask_key: lang_masks
|
| 48 |
-
output_key: lang_tokens
|
| 49 |
-
tokenizer:
|
| 50 |
-
model_max_length: 4096
|
| 51 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 52 |
-
padding_side: right
|
| 53 |
-
trust_remote_code: true
|
| 54 |
-
type: PretrainedTokenizer
|
| 55 |
-
type: ProcessCosmos3Prompt
|
| 56 |
-
- gripper_key: robot0_gripper_qpos
|
| 57 |
-
norm_type: mean_std
|
| 58 |
-
out_key: states
|
| 59 |
-
pos_key: robot0_eef_pos
|
| 60 |
-
quat_key: robot0_eef_quat
|
| 61 |
-
state_dim: 64
|
| 62 |
-
type: LiberoProprioFromInputs
|
| 63 |
-
- frame_window_size: 1
|
| 64 |
-
num_views: 2
|
| 65 |
-
tile_direction: horizontal
|
| 66 |
-
type: PrepareVideo
|
| 67 |
-
type: LiberoParquetEvalDataset
|
| 68 |
-
denormalize_action:
|
| 69 |
-
action_dim: 10
|
| 70 |
-
norm_type: quantile_rot
|
| 71 |
-
type: DenormalizeLiberoFramewiseRot6DAction
|
| 72 |
-
enable_mixed_precision_training: true
|
| 73 |
-
eval_chunk_size: 16
|
| 74 |
-
inference_seed: 7
|
| 75 |
-
mixed_precision_dtype: bf16
|
| 76 |
-
model_family: cosmos3
|
| 77 |
-
norm_stats_key: libero_goal_no_noops
|
| 78 |
-
num_inference_steps: 30
|
| 79 |
-
num_steps_wait: 10
|
| 80 |
-
num_trials_per_task: 50
|
| 81 |
-
resize_size: 256
|
| 82 |
-
seed: 7
|
| 83 |
-
task_ids: null
|
| 84 |
-
task_suite_name: libero_goal
|
| 85 |
-
type: LiberoEvalRunner
|
| 86 |
-
inference_model:
|
| 87 |
-
action_horizon: 16
|
| 88 |
-
action_in_proj:
|
| 89 |
-
input_size: 64
|
| 90 |
-
num_domains: 32
|
| 91 |
-
output_size: 2048
|
| 92 |
-
type: DomainAwareLinear
|
| 93 |
-
action_out_proj:
|
| 94 |
-
input_size: 2048
|
| 95 |
-
num_domains: 32
|
| 96 |
-
output_size: 64
|
| 97 |
-
type: DomainAwareLinear
|
| 98 |
-
base_fps: 24.0
|
| 99 |
-
enable_fps_modulation: true
|
| 100 |
-
enable_vision_loss: true
|
| 101 |
-
freeze_non_moe_vlm_backbone: true
|
| 102 |
-
freeze_vlm_backbone: false
|
| 103 |
-
latent_patch_size: 2
|
| 104 |
-
max_action_dim: 64
|
| 105 |
-
name_mapping:
|
| 106 |
-
.self_attn.k_norm_moe_gen.: .self_attn.norm_added_k.
|
| 107 |
-
.self_attn.k_proj.: .self_attn.to_k.
|
| 108 |
-
.self_attn.k_proj_moe_gen.: .self_attn.add_k_proj.
|
| 109 |
-
.self_attn.o_proj.: .self_attn.to_out.
|
| 110 |
-
.self_attn.o_proj_moe_gen.: .self_attn.to_add_out.
|
| 111 |
-
.self_attn.q_norm_moe_gen.: .self_attn.norm_added_q.
|
| 112 |
-
.self_attn.q_proj.: .self_attn.to_q.
|
| 113 |
-
.self_attn.q_proj_moe_gen.: .self_attn.add_q_proj.
|
| 114 |
-
.self_attn.v_proj.: .self_attn.to_v.
|
| 115 |
-
.self_attn.v_proj_moe_gen.: .self_attn.add_v_proj.
|
| 116 |
-
action_in_proj.: action_proj_in.
|
| 117 |
-
action_modality_embed: action_modality_embed
|
| 118 |
-
action_out_proj.: action_proj_out.
|
| 119 |
-
time_embedder.mlp.0.: time_embedder.linear_1.
|
| 120 |
-
time_embedder.mlp.2.: time_embedder.linear_2.
|
| 121 |
-
vision_in_proj.projector.: proj_in.
|
| 122 |
-
vision_out_proj.projector.: proj_out.
|
| 123 |
-
vlm_backbone.lm_head.weight: lm_head.weight
|
| 124 |
-
vlm_backbone.model.language_model.embed_tokens.weight: embed_tokens.weight
|
| 125 |
-
vlm_backbone.model.language_model.layers.: layers.
|
| 126 |
-
vlm_backbone.model.language_model.norm.weight: norm.weight
|
| 127 |
-
vlm_backbone.model.language_model.norm_moe_gen.weight: norm_moe_gen.weight
|
| 128 |
-
num_embodiment_domains: 32
|
| 129 |
-
ori_action_dim: 10
|
| 130 |
-
packed_attention_backend: flash2
|
| 131 |
-
position_embedding_type: unified_3d_mrope
|
| 132 |
-
pretrained_name_or_path: ./checkpoints/Cosmos3-Edge/transformer
|
| 133 |
-
rectified_flow_inference_config:
|
| 134 |
-
num_steps: 30
|
| 135 |
-
num_train_timesteps: 1000
|
| 136 |
-
scheduler_type: unipc
|
| 137 |
-
shift: 10.0
|
| 138 |
-
use_dynamic_shifting: false
|
| 139 |
-
use_karras_sigmas: false
|
| 140 |
-
rectified_flow_training_config:
|
| 141 |
-
action_loss_weight: 10.0
|
| 142 |
-
independent_action_schedule: false
|
| 143 |
-
normalize_loss_by_active: false
|
| 144 |
-
shift:
|
| 145 |
-
'256': 3
|
| 146 |
-
'480': 5
|
| 147 |
-
'720': 10
|
| 148 |
-
shift_action: null
|
| 149 |
-
train_time_action_distribution: logitnormal
|
| 150 |
-
train_time_image_distribution: logitnormal
|
| 151 |
-
train_time_video_distribution: waver
|
| 152 |
-
train_time_weight: uniform
|
| 153 |
-
use_discrete_rf: false
|
| 154 |
-
use_dynamic_shift: false
|
| 155 |
-
use_high_sigma_strategy: false
|
| 156 |
-
use_high_sigma_strategy_action: false
|
| 157 |
-
vision_loss_weight: 10.0
|
| 158 |
-
reinitialize_action_policy: true
|
| 159 |
-
special_tokens:
|
| 160 |
-
end_of_generation: 21
|
| 161 |
-
eos_token_id: 11
|
| 162 |
-
start_of_generation: 20
|
| 163 |
-
strict_mapping: true
|
| 164 |
-
timestep_scale: 0.001
|
| 165 |
-
type: Cosmos3FlowMatching
|
| 166 |
-
unified_3d_mrope_reset_spatial_ids: true
|
| 167 |
-
unified_3d_mrope_temporal_modality_margin: 15000
|
| 168 |
-
vision_in_proj:
|
| 169 |
-
in_dim: 192
|
| 170 |
-
out_dim: 2048
|
| 171 |
-
type: LinearProjector
|
| 172 |
-
vision_latent_dim: 48
|
| 173 |
-
vision_out_proj:
|
| 174 |
-
in_dim: 2048
|
| 175 |
-
out_dim: 192
|
| 176 |
-
type: LinearProjector
|
| 177 |
-
vision_vae:
|
| 178 |
-
encode_exact_durations:
|
| 179 |
-
- 17
|
| 180 |
-
pretrained_name_or_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 181 |
-
type: Cosmos3Wan22VAE
|
| 182 |
-
vlm_backbone:
|
| 183 |
-
include_visual: false
|
| 184 |
-
skip_init_weights: true
|
| 185 |
-
type: Cosmos3MoTBackbone
|
| 186 |
-
vlm_config:
|
| 187 |
-
attention_bias: false
|
| 188 |
-
bos_token_id: 1
|
| 189 |
-
enable_mrope: true
|
| 190 |
-
eos_token_id: 11
|
| 191 |
-
head_dim: 128
|
| 192 |
-
hidden_size: 2048
|
| 193 |
-
intermediate_size: 9216
|
| 194 |
-
layer_norm_epsilon: 1.0e-05
|
| 195 |
-
max_position_embeddings: 131072
|
| 196 |
-
mlp_bias: false
|
| 197 |
-
mlp_hidden_act: relu2
|
| 198 |
-
model_type: nemotron_3_dense_vl_text
|
| 199 |
-
mrope_section:
|
| 200 |
-
- 24
|
| 201 |
-
- 20
|
| 202 |
-
- 20
|
| 203 |
-
num_attention_heads: 16
|
| 204 |
-
num_hidden_layers: 28
|
| 205 |
-
num_key_value_heads: 8
|
| 206 |
-
pad_token_id: 11
|
| 207 |
-
rope_theta: 100000000.0
|
| 208 |
-
tie_word_embeddings: false
|
| 209 |
-
use_und_k_norm_for_gen: true
|
| 210 |
-
vocab_size: 131072
|
| 211 |
-
model:
|
| 212 |
-
action_horizon: 16
|
| 213 |
-
action_in_proj:
|
| 214 |
-
input_size: 64
|
| 215 |
-
num_domains: 32
|
| 216 |
-
output_size: 2048
|
| 217 |
-
type: DomainAwareLinear
|
| 218 |
-
action_out_proj:
|
| 219 |
-
input_size: 2048
|
| 220 |
-
num_domains: 32
|
| 221 |
-
output_size: 64
|
| 222 |
-
type: DomainAwareLinear
|
| 223 |
-
base_fps: 24.0
|
| 224 |
-
enable_fps_modulation: true
|
| 225 |
-
enable_vision_loss: true
|
| 226 |
-
freeze_non_moe_vlm_backbone: true
|
| 227 |
-
freeze_vlm_backbone: false
|
| 228 |
-
latent_patch_size: 2
|
| 229 |
-
max_action_dim: 64
|
| 230 |
-
name_mapping:
|
| 231 |
-
.self_attn.k_norm_moe_gen.: .self_attn.norm_added_k.
|
| 232 |
-
.self_attn.k_proj.: .self_attn.to_k.
|
| 233 |
-
.self_attn.k_proj_moe_gen.: .self_attn.add_k_proj.
|
| 234 |
-
.self_attn.o_proj.: .self_attn.to_out.
|
| 235 |
-
.self_attn.o_proj_moe_gen.: .self_attn.to_add_out.
|
| 236 |
-
.self_attn.q_norm_moe_gen.: .self_attn.norm_added_q.
|
| 237 |
-
.self_attn.q_proj.: .self_attn.to_q.
|
| 238 |
-
.self_attn.q_proj_moe_gen.: .self_attn.add_q_proj.
|
| 239 |
-
.self_attn.v_proj.: .self_attn.to_v.
|
| 240 |
-
.self_attn.v_proj_moe_gen.: .self_attn.add_v_proj.
|
| 241 |
-
action_in_proj.: action_proj_in.
|
| 242 |
-
action_modality_embed: action_modality_embed
|
| 243 |
-
action_out_proj.: action_proj_out.
|
| 244 |
-
time_embedder.mlp.0.: time_embedder.linear_1.
|
| 245 |
-
time_embedder.mlp.2.: time_embedder.linear_2.
|
| 246 |
-
vision_in_proj.projector.: proj_in.
|
| 247 |
-
vision_out_proj.projector.: proj_out.
|
| 248 |
-
vlm_backbone.lm_head.weight: lm_head.weight
|
| 249 |
-
vlm_backbone.model.language_model.embed_tokens.weight: embed_tokens.weight
|
| 250 |
-
vlm_backbone.model.language_model.layers.: layers.
|
| 251 |
-
vlm_backbone.model.language_model.norm.weight: norm.weight
|
| 252 |
-
vlm_backbone.model.language_model.norm_moe_gen.weight: norm_moe_gen.weight
|
| 253 |
-
num_embodiment_domains: 32
|
| 254 |
-
ori_action_dim: 10
|
| 255 |
-
packed_attention_backend: flash2
|
| 256 |
-
position_embedding_type: unified_3d_mrope
|
| 257 |
-
pretrained_name_or_path: ./checkpoints/Cosmos3-Edge/transformer
|
| 258 |
-
rectified_flow_inference_config:
|
| 259 |
-
num_steps: 30
|
| 260 |
-
num_train_timesteps: 1000
|
| 261 |
-
scheduler_type: unipc
|
| 262 |
-
shift: 10.0
|
| 263 |
-
use_dynamic_shifting: false
|
| 264 |
-
use_karras_sigmas: false
|
| 265 |
-
rectified_flow_training_config:
|
| 266 |
-
action_loss_weight: 10.0
|
| 267 |
-
independent_action_schedule: false
|
| 268 |
-
normalize_loss_by_active: false
|
| 269 |
-
shift:
|
| 270 |
-
'256': 3
|
| 271 |
-
'480': 5
|
| 272 |
-
'720': 10
|
| 273 |
-
shift_action: null
|
| 274 |
-
train_time_action_distribution: logitnormal
|
| 275 |
-
train_time_image_distribution: logitnormal
|
| 276 |
-
train_time_video_distribution: waver
|
| 277 |
-
train_time_weight: uniform
|
| 278 |
-
use_discrete_rf: false
|
| 279 |
-
use_dynamic_shift: false
|
| 280 |
-
use_high_sigma_strategy: false
|
| 281 |
-
use_high_sigma_strategy_action: false
|
| 282 |
-
vision_loss_weight: 10.0
|
| 283 |
-
reinitialize_action_policy: true
|
| 284 |
-
special_tokens:
|
| 285 |
-
end_of_generation: 21
|
| 286 |
-
eos_token_id: 11
|
| 287 |
-
start_of_generation: 20
|
| 288 |
-
strict_mapping: true
|
| 289 |
-
timestep_scale: 0.001
|
| 290 |
-
type: Cosmos3FlowMatching
|
| 291 |
-
unified_3d_mrope_reset_spatial_ids: true
|
| 292 |
-
unified_3d_mrope_temporal_modality_margin: 15000
|
| 293 |
-
vision_in_proj:
|
| 294 |
-
in_dim: 192
|
| 295 |
-
out_dim: 2048
|
| 296 |
-
type: LinearProjector
|
| 297 |
-
vision_latent_dim: 48
|
| 298 |
-
vision_out_proj:
|
| 299 |
-
in_dim: 2048
|
| 300 |
-
out_dim: 192
|
| 301 |
-
type: LinearProjector
|
| 302 |
-
vision_vae:
|
| 303 |
-
encode_exact_durations:
|
| 304 |
-
- 17
|
| 305 |
-
pretrained_name_or_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 306 |
-
type: Cosmos3Wan22VAE
|
| 307 |
-
vlm_backbone:
|
| 308 |
-
include_visual: false
|
| 309 |
-
skip_init_weights: true
|
| 310 |
-
type: Cosmos3MoTBackbone
|
| 311 |
-
vlm_config:
|
| 312 |
-
attention_bias: false
|
| 313 |
-
bos_token_id: 1
|
| 314 |
-
enable_mrope: true
|
| 315 |
-
eos_token_id: 11
|
| 316 |
-
head_dim: 128
|
| 317 |
-
hidden_size: 2048
|
| 318 |
-
intermediate_size: 9216
|
| 319 |
-
layer_norm_epsilon: 1.0e-05
|
| 320 |
-
max_position_embeddings: 131072
|
| 321 |
-
mlp_bias: false
|
| 322 |
-
mlp_hidden_act: relu2
|
| 323 |
-
model_type: nemotron_3_dense_vl_text
|
| 324 |
-
mrope_section:
|
| 325 |
-
- 24
|
| 326 |
-
- 20
|
| 327 |
-
- 20
|
| 328 |
-
num_attention_heads: 16
|
| 329 |
-
num_hidden_layers: 28
|
| 330 |
-
num_key_value_heads: 8
|
| 331 |
-
pad_token_id: 11
|
| 332 |
-
rope_theta: 100000000.0
|
| 333 |
-
tie_word_embeddings: false
|
| 334 |
-
use_und_k_norm_for_gen: true
|
| 335 |
-
vocab_size: 131072
|
| 336 |
-
runner:
|
| 337 |
-
change_key_name: false
|
| 338 |
-
collator:
|
| 339 |
-
list_keys:
|
| 340 |
-
- sequence_plan
|
| 341 |
-
meta_keys:
|
| 342 |
-
- task_description
|
| 343 |
-
- stats
|
| 344 |
-
- info
|
| 345 |
-
- timestamp
|
| 346 |
-
pad_id: 11
|
| 347 |
-
sequence_keys:
|
| 348 |
-
- text_token_ids
|
| 349 |
-
tensor_keys:
|
| 350 |
-
- images
|
| 351 |
-
- actions
|
| 352 |
-
- embodiment_ids
|
| 353 |
-
- raw_action_dim
|
| 354 |
-
- conditioning_fps
|
| 355 |
-
- action_fps
|
| 356 |
-
type: Cosmos3Collator
|
| 357 |
-
enable_gradient_checkpointing: true
|
| 358 |
-
enable_mixed_precision_training: true
|
| 359 |
-
grad_accumulation_steps: 16
|
| 360 |
-
lr_scheduler:
|
| 361 |
-
cycle_length: 16000
|
| 362 |
-
type: linear-warmup+linear-decay
|
| 363 |
-
warmup_steps: 500
|
| 364 |
-
max_epochs: null
|
| 365 |
-
max_grad_norm: 1.0
|
| 366 |
-
max_keep_ckpts: 2
|
| 367 |
-
max_steps: 2000
|
| 368 |
-
metric:
|
| 369 |
-
active_trackers:
|
| 370 |
-
- jsonl
|
| 371 |
-
- wandb
|
| 372 |
-
grad_accumulation_steps: 16
|
| 373 |
-
run_dir: work_dirs
|
| 374 |
-
type: VLAMetric
|
| 375 |
-
window_size: 1
|
| 376 |
-
mixed_precision_dtype: bf16
|
| 377 |
-
optimizer:
|
| 378 |
-
betas:
|
| 379 |
-
- 0.9
|
| 380 |
-
- 0.99
|
| 381 |
-
eps: 1.0e-08
|
| 382 |
-
exclude_1d_from_weight_decay: false
|
| 383 |
-
fused: true
|
| 384 |
-
lr: 5.0e-05
|
| 385 |
-
paramwise_learning_rate:
|
| 386 |
-
action_in_proj.: 0.00025
|
| 387 |
-
action_modality_embed: 0.00025
|
| 388 |
-
action_out_proj.: 0.00025
|
| 389 |
-
type: AdamW
|
| 390 |
-
weight_decay: 0.05
|
| 391 |
-
sampler: null
|
| 392 |
-
save_iter_interval: 500
|
| 393 |
-
sharding_strategy: full-shard
|
| 394 |
-
tokenizer:
|
| 395 |
-
model_max_length: 4096
|
| 396 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 397 |
-
padding_side: right
|
| 398 |
-
trust_remote_code: true
|
| 399 |
-
type: PretrainedTokenizer
|
| 400 |
-
type: FSDPTrainRunner
|
| 401 |
-
seed: 7
|
| 402 |
-
train_dataloader:
|
| 403 |
-
dataset:
|
| 404 |
-
datasets:
|
| 405 |
-
action_key: action
|
| 406 |
-
action_window_size: 16
|
| 407 |
-
data_root_path: /mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_goal_no_noops_lerobot
|
| 408 |
-
frame_window_size: 17
|
| 409 |
-
require_full_window: true
|
| 410 |
-
statistic_name: libero_goal_no_noops
|
| 411 |
-
transforms:
|
| 412 |
-
- embodiment_id: 5
|
| 413 |
-
name_mappings:
|
| 414 |
-
actions:
|
| 415 |
-
- actions
|
| 416 |
-
observation.state:
|
| 417 |
-
- states
|
| 418 |
-
parquet_keys:
|
| 419 |
-
- observation.state
|
| 420 |
-
- timestamp
|
| 421 |
-
- actions
|
| 422 |
-
- info
|
| 423 |
-
- stats
|
| 424 |
-
type: ProcessParquetInputs
|
| 425 |
-
video_keys:
|
| 426 |
-
- observation.images.image
|
| 427 |
-
- observation.images.wrist_image
|
| 428 |
-
- type: LiberoFramewiseActionToRot6D
|
| 429 |
-
- action_metadata:
|
| 430 |
-
append_viewpoint: false
|
| 431 |
-
conditioning_fps: 20.0
|
| 432 |
-
frame_window_size: 17
|
| 433 |
-
video_height: 256
|
| 434 |
-
video_width: 512
|
| 435 |
-
cfg_dropout_rate: 0.1
|
| 436 |
-
max_len: 512
|
| 437 |
-
tokenizer:
|
| 438 |
-
model_max_length: 4096
|
| 439 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 440 |
-
padding_side: right
|
| 441 |
-
trust_remote_code: true
|
| 442 |
-
type: PretrainedTokenizer
|
| 443 |
-
type: ProcessCosmos3Prompt
|
| 444 |
-
- height: 256
|
| 445 |
-
type: ResizeImages
|
| 446 |
-
width: 256
|
| 447 |
-
- type: SimpleNormalizeImages
|
| 448 |
-
- action_dim: 64
|
| 449 |
-
action_key: action
|
| 450 |
-
action_norm_type: quantile
|
| 451 |
-
state_dim: 64
|
| 452 |
-
state_key: proprio
|
| 453 |
-
state_norm_type: none
|
| 454 |
-
type: NormalizeStatesAndActions
|
| 455 |
-
- conditioning_fps: 20.0
|
| 456 |
-
frame_window_size: 17
|
| 457 |
-
mode: wam
|
| 458 |
-
prepend_state_to_action: false
|
| 459 |
-
raw_action_dim: 10
|
| 460 |
-
type: BuildCosmos3Sequence
|
| 461 |
-
- frame_window_size: 17
|
| 462 |
-
num_views: 2
|
| 463 |
-
tile_direction: horizontal
|
| 464 |
-
type: PrepareVideo
|
| 465 |
-
type: ParquetDataset
|
| 466 |
-
use_delta: false
|
| 467 |
-
window_start_idx: 0
|
| 468 |
-
name_mappings:
|
| 469 |
-
action:
|
| 470 |
-
- action
|
| 471 |
-
observation.state:
|
| 472 |
-
- proprio
|
| 473 |
-
statistic_keys:
|
| 474 |
-
- observation.state
|
| 475 |
-
- timestamp
|
| 476 |
-
- action
|
| 477 |
-
statistic_name: libero_goal_no_noops
|
| 478 |
-
statistics_overrides:
|
| 479 |
-
libero_goal_no_noops:
|
| 480 |
-
action:
|
| 481 |
-
max:
|
| 482 |
-
- 0.9375
|
| 483 |
-
- 0.9375
|
| 484 |
-
- 0.9375
|
| 485 |
-
- 1.0
|
| 486 |
-
- 0.368853
|
| 487 |
-
- 0.341214
|
| 488 |
-
- 0.356395
|
| 489 |
-
- 1.0
|
| 490 |
-
- 0.348251
|
| 491 |
-
- 1.0
|
| 492 |
-
mean:
|
| 493 |
-
- 0.050704
|
| 494 |
-
- 0.097407
|
| 495 |
-
- -0.094833
|
| 496 |
-
- 0.994873
|
| 497 |
-
- -0.004579
|
| 498 |
-
- -0.004288
|
| 499 |
-
- 0.004389
|
| 500 |
-
- 0.996104
|
| 501 |
-
- 0.001109
|
| 502 |
-
- 0.476725
|
| 503 |
-
min:
|
| 504 |
-
- -0.9375
|
| 505 |
-
- -0.9375
|
| 506 |
-
- -0.9375
|
| 507 |
-
- 0.902028
|
| 508 |
-
- -0.356085
|
| 509 |
-
- -0.367416
|
| 510 |
-
- -0.370434
|
| 511 |
-
- 0.921907
|
| 512 |
-
- -0.255
|
| 513 |
-
- 0.0
|
| 514 |
-
q01:
|
| 515 |
-
- -0.723214
|
| 516 |
-
- -0.808929
|
| 517 |
-
- -0.9375
|
| 518 |
-
- 0.934955
|
| 519 |
-
- -0.223431
|
| 520 |
-
- -0.189878
|
| 521 |
-
- -0.334735
|
| 522 |
-
- 0.938516
|
| 523 |
-
- -0.107736
|
| 524 |
-
- 0.0
|
| 525 |
-
q99:
|
| 526 |
-
- 0.9375
|
| 527 |
-
- 0.870536
|
| 528 |
-
- 0.9375
|
| 529 |
-
- 1.0
|
| 530 |
-
- 0.331
|
| 531 |
-
- 0.163153
|
| 532 |
-
- 0.226216
|
| 533 |
-
- 1.0
|
| 534 |
-
- 0.127158
|
| 535 |
-
- 1.0
|
| 536 |
-
std:
|
| 537 |
-
- 0.333621
|
| 538 |
-
- 0.387175
|
| 539 |
-
- 0.45714
|
| 540 |
-
- 0.010807
|
| 541 |
-
- 0.077802
|
| 542 |
-
- 0.063386
|
| 543 |
-
- 0.078571
|
| 544 |
-
- 0.009994
|
| 545 |
-
- 0.038504
|
| 546 |
-
- 0.49946
|
| 547 |
-
type: DistributedRepeatingDataset
|
| 548 |
-
per_device_batch_size: 16
|
| 549 |
-
per_device_num_workers: 4
|
|
|
|
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|
cosmos3edge_libero_goal_full_finetune_bs16/cosmos3edge_libero_goal_full_finetune_2026_08_03_16_53_28.jsonl
DELETED
|
@@ -1,24 +0,0 @@
|
|
| 1 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000005", "VLA Train/Loss": 15.760736465454102, "VLA Train/Loss (Raw)": 15.760736465454102, "VLA Train/Step": 1, "VLA Train/Step Time": 86.29620456695557}
|
| 2 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000010", "VLA Train/Loss": 15.803648948669434, "VLA Train/Loss (Raw)": 15.803648948669434, "VLA Train/Step": 2, "VLA Train/Step Time": 46.33137822151184}
|
| 3 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000015", "VLA Train/Loss": 16.197032928466797, "VLA Train/Loss (Raw)": 16.197032928466797, "VLA Train/Step": 3, "VLA Train/Step Time": 44.767229318618774}
|
| 4 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000020", "VLA Train/Loss": 15.76694393157959, "VLA Train/Loss (Raw)": 15.76694393157959, "VLA Train/Step": 4, "VLA Train/Step Time": 46.072197914123535}
|
| 5 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000025", "VLA Train/Loss": 15.86616039276123, "VLA Train/Loss (Raw)": 15.86616039276123, "VLA Train/Step": 5, "VLA Train/Step Time": 44.942532539367676}
|
| 6 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000030", "VLA Train/Loss": 15.99901008605957, "VLA Train/Loss (Raw)": 15.99901008605957, "VLA Train/Step": 6, "VLA Train/Step Time": 46.97072434425354}
|
| 7 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000035", "VLA Train/Loss": 15.73391342163086, "VLA Train/Loss (Raw)": 15.73391342163086, "VLA Train/Step": 7, "VLA Train/Step Time": 45.47095084190369}
|
| 8 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000040", "VLA Train/Loss": 15.873214721679688, "VLA Train/Loss (Raw)": 15.873214721679688, "VLA Train/Step": 8, "VLA Train/Step Time": 45.75663113594055}
|
| 9 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000045", "VLA Train/Loss": 16.031583786010742, "VLA Train/Loss (Raw)": 16.031583786010742, "VLA Train/Step": 9, "VLA Train/Step Time": 45.026267290115356}
|
| 10 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000050", "VLA Train/Loss": 16.016353607177734, "VLA Train/Loss (Raw)": 16.016353607177734, "VLA Train/Step": 10, "VLA Train/Step Time": 46.05869221687317}
|
| 11 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000055", "VLA Train/Loss": 15.664567947387695, "VLA Train/Loss (Raw)": 15.664567947387695, "VLA Train/Step": 11, "VLA Train/Step Time": 45.6900520324707}
|
| 12 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000060", "VLA Train/Loss": 15.861379623413086, "VLA Train/Loss (Raw)": 15.861379623413086, "VLA Train/Step": 12, "VLA Train/Step Time": 45.13345766067505}
|
| 13 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000065", "VLA Train/Loss": 15.681824684143066, "VLA Train/Loss (Raw)": 15.681824684143066, "VLA Train/Step": 13, "VLA Train/Step Time": 46.876734256744385}
|
| 14 |
-
{"VLA Train/Action Token Accuracy": 0.0, "VLA Train/Epoch": 0, "VLA Train/L1 Loss": 0.0, "VLA Train/Learning Rate": "0.0000070", "VLA Train/Loss": 15.652810096740723, "VLA Train/Loss (Raw)": 15.652810096740723, "VLA Train/Step": 14, "VLA Train/Step Time": 45.42207980155945}
|
| 15 |
-
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cosmos3edge_libero_goal_full_finetune_bs16/cosmos3edge_libero_goal_full_finetune_2026_08_03_17_19_06.jsonl
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cosmos3edge_libero_goal_full_finetune_bs16/dataset_statistics.json
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cosmos3edge_libero_goal_full_finetune_bs16/run-metrics.jsonl
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@@ -1 +0,0 @@
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| 1 |
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{"hparams": "{'eval': {'dataset': {'extra_tensor_keys': ['conditioning_fps', 'prepend_state_to_action'], 'img_buffer_len': 1, 'transforms': [{'embodiment_id': 5, 'img_keys': ['agentview_image', 'robot0_eye_in_hand_image'], 'type': 'ProcessLiberoEvalInputs'}, {'conditioning_fps': 20.0, 'prepend_state_to_action': False, 'type': 'SetCosmos3ActionMetadata'}, {'image_resize_strategy': 'resize-naive', 'input_sizes': [[3, 256, 256], [3, 256, 256]], 'means': [[127.5, 127.5, 127.5], [127.5, 127.5, 127.5]], 'stds': [[127.5, 127.5, 127.5], [127.5, 127.5, 127.5]], 'type': 'TransformImage'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.0, 'max_len': 512, 'output_attention_mask_key': 'lang_masks', 'output_key': 'lang_tokens', 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 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['states']}, 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats'], 'type': 'ProcessParquetInputs', 'video_keys': ['observation.images.image', 'observation.images.wrist_image']}, {'type': 'LiberoFramewiseActionToRot6D'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.1, 'max_len': 512, 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'ProcessCosmos3Prompt'}, {'height': 256, 'type': 'ResizeImages', 'width': 256}, {'type': 'SimpleNormalizeImages'}, {'action_dim': 64, 'action_key': 'action', 'action_norm_type': 'quantile', 'state_norm_type': 'none', 'state_dim': 64, 'state_key': 'proprio', 'type': 'NormalizeStatesAndActions'}, {'conditioning_fps': 20.0, 'frame_window_size': 17, 'mode': 'wam', 'prepend_state_to_action': False, 'raw_action_dim': 10, 'type': 'BuildCosmos3Sequence'}, {'frame_window_size': 17, 'num_views': 2, 'tile_direction': 'horizontal', 'type': 'PrepareVideo'}], 'type': 'ParquetDataset', 'use_delta': False, 'window_start_idx': 0}, 'name_mappings': {'action': ['action'], 'observation.state': ['proprio']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_goal_no_noops', 'statistics_overrides': {'libero_goal_no_noops': {'action': {'mean': [0.050704, 0.097407, -0.094833, 0.994873, -0.004579, -0.004288, 0.004389, 0.996104, 0.001109, 0.476725], 'std': [0.333621, 0.387175, 0.45714, 0.010807, 0.077802, 0.063386, 0.078571, 0.009994, 0.038504, 0.49946], 'min': [-0.9375, -0.9375, -0.9375, 0.902028, -0.356085, -0.367416, -0.370434, 0.921907, -0.255, 0.0], 'max': [0.9375, 0.9375, 0.9375, 1.0, 0.368853, 0.341214, 0.356395, 1.0, 0.348251, 1.0], 'q01': [-0.723214, -0.808929, -0.9375, 0.934955, -0.223431, -0.189878, -0.334735, 0.938516, -0.107736, 0.0], 'q99': [0.9375, 0.870536, 0.9375, 1.0, 0.331, 0.163153, 0.226216, 1.0, 0.127158, 1.0]}}}, 'type': 'DistributedRepeatingDataset'}, 'per_device_batch_size': 16, 'per_device_num_workers': 4}}, 'args': Namespace(config='configs/cosmos3/cosmos3edge_libero_goal_full_finetune.py', work_dir='/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_goal_edge_pr51_latest_bs16', cfg_options={'train_dataloader.per_device_batch_size': 16, 'runner.grad_accumulation_steps': 16, 'runner.metric.grad_accumulation_steps': 16}, eval_after_train=True, resume_from=None)}, 'seed': 7, 'train_dataloader': {'dataset': {'datasets': {'action_key': 'action', 'action_window_size': 16, 'data_root_path': '/mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_goal_no_noops_lerobot', 'frame_window_size': 17, 'require_full_window': True, 'statistic_name': 'libero_goal_no_noops', 'transforms': [{'embodiment_id': 5, 'name_mappings': {'actions': ['actions'], 'observation.state': ['states']}, 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats'], 'type': 'ProcessParquetInputs', 'video_keys': ['observation.images.image', 'observation.images.wrist_image']}, {'type': 'LiberoFramewiseActionToRot6D'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.1, 'max_len': 512, 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'ProcessCosmos3Prompt'}, {'height': 256, 'type': 'ResizeImages', 'width': 256}, {'type': 'SimpleNormalizeImages'}, {'action_dim': 64, 'action_key': 'action', 'action_norm_type': 'quantile', 'state_norm_type': 'none', 'state_dim': 64, 'state_key': 'proprio', 'type': 'NormalizeStatesAndActions'}, {'conditioning_fps': 20.0, 'frame_window_size': 17, 'mode': 'wam', 'prepend_state_to_action': False, 'raw_action_dim': 10, 'type': 'BuildCosmos3Sequence'}, {'frame_window_size': 17, 'num_views': 2, 'tile_direction': 'horizontal', 'type': 'PrepareVideo'}], 'type': 'ParquetDataset', 'use_delta': False, 'window_start_idx': 0}, 'name_mappings': {'action': ['action'], 'observation.state': ['proprio']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_goal_no_noops', 'statistics_overrides': {'libero_goal_no_noops': {'action': {'mean': [0.050704, 0.097407, -0.094833, 0.994873, -0.004579, -0.004288, 0.004389, 0.996104, 0.001109, 0.476725], 'std': [0.333621, 0.387175, 0.45714, 0.010807, 0.077802, 0.063386, 0.078571, 0.009994, 0.038504, 0.49946], 'min': [-0.9375, -0.9375, -0.9375, 0.902028, -0.356085, -0.367416, -0.370434, 0.921907, -0.255, 0.0], 'max': [0.9375, 0.9375, 0.9375, 1.0, 0.368853, 0.341214, 0.356395, 1.0, 0.348251, 1.0], 'q01': [-0.723214, -0.808929, -0.9375, 0.934955, -0.223431, -0.189878, -0.334735, 0.938516, -0.107736, 0.0], 'q99': [0.9375, 0.870536, 0.9375, 1.0, 0.331, 0.163153, 0.226216, 1.0, 0.127158, 1.0]}}}, 'type': 'DistributedRepeatingDataset'}, 'per_device_batch_size': 16, 'per_device_num_workers': 4}}", "run_id": "cosmos3edge_libero_goal_full_finetune_2026_08_03_17_19_06"}
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cosmos3edge_libero_goal_full_finetune_bs16/tokenizer/chat_template.jinja
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@@ -1,324 +0,0 @@
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| 1 |
-
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{% macro render_extra_keys(json_dict, handled_keys) %}
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| 3 |
-
{%- if json_dict is mapping %}
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| 4 |
-
{%- for json_key in json_dict if json_key not in handled_keys %}
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| 5 |
-
{%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
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| 6 |
-
{{- '
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| 7 |
-
<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
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| 8 |
-
{%- else %}
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| 9 |
-
{{-'
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| 10 |
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<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
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| 11 |
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{%- endif %}
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| 12 |
-
{%- endfor %}
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| 13 |
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{%- endif %}
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| 14 |
-
{% endmacro %}
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| 15 |
-
{%- set enable_thinking = enable_thinking if enable_thinking is defined else True %}
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| 16 |
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{%- set truncate_history_thinking = truncate_history_thinking if truncate_history_thinking is defined else True %}
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| 17 |
-
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| 18 |
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{%- set ns = namespace(last_user_idx = -1) %}
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| 19 |
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{%- set loop_messages = messages %}
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| 20 |
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{%- for m in loop_messages %}
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| 21 |
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{%- if m["role"] == "user" %}
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| 22 |
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{%- set ns.last_user_idx = loop.index0 %}
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| 23 |
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{%- endif %}
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| 24 |
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{%- endfor %}
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| 25 |
-
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{%- if messages[0]["role"] == "system" %}
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| 27 |
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{%- if messages[0]["content"] is string %}
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| 28 |
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{%- set system_message = messages[0]["content"] %}
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| 29 |
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{%- else %}
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| 30 |
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{%- set ns = namespace(system_text="") %}
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| 31 |
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{%- for part in messages[0]["content"] %}
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| 32 |
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{%- if 'text' in part %}
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| 33 |
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{%- set ns.system_text = ns.system_text + part.text %}
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| 34 |
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{%- endif %}
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| 35 |
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{%- endfor %}
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{%- set system_message = ns.system_text %}
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{%- endif %}
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-
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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| 42 |
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{%- set loop_messages = messages %}
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| 43 |
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{%- endif %}
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| 44 |
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{%- if not tools is defined %}
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| 45 |
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{%- set tools = [] %}
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| 46 |
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{%- endif %}
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| 47 |
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{# Recompute last_user_idx relative to loop_messages after handling system #}
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| 48 |
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{%- set ns = namespace(last_user_idx = -1) %}
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| 49 |
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{%- for m in loop_messages %}
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| 50 |
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{%- if m["role"] == "user" %}
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| 51 |
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{%- set ns.last_user_idx = loop.index0 %}
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| 52 |
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{%- endif %}
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{%- endfor %}
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| 54 |
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{%- if system_message is defined %}
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{{- "<|im_start|>system
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| 56 |
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" + system_message }}
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| 57 |
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{%- else %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "<|im_start|>system
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" }}
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{%- endif %}
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{%- endif %}
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| 63 |
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{%- if tools is iterable and tools | length > 0 %}
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| 64 |
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{%- if system_message is defined and system_message | length > 0 %}
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{{- "
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-
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" }}
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{%- endif %}
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| 69 |
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{{- "# Tools
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| 70 |
-
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You have access to the following functions:
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" }}
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{{- "<tools>" }}
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{%- for tool in tools %}
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{%- if tool.function is defined %}
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| 77 |
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{%- set tool = tool.function %}
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| 78 |
-
{%- endif %}
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| 79 |
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{{- "
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| 80 |
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<function>
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| 81 |
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<name>" ~ tool.name ~ "</name>" }}
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| 82 |
-
{%- if tool.description is defined %}
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| 83 |
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{{- '
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| 84 |
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<description>' ~ (tool.description | trim) ~ '</description>' }}
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| 85 |
-
{%- endif %}
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| 86 |
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{{- '
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| 87 |
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<parameters>' }}
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| 88 |
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{%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
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{%- for param_name, param_fields in tool.parameters.properties|items %}
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| 90 |
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{{- '
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| 91 |
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<parameter>' }}
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| 92 |
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{{- '
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<name>' ~ param_name ~ '</name>' }}
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| 94 |
-
{%- if param_fields.type is defined %}
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| 95 |
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{{- '
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| 96 |
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<type>' ~ (param_fields.type | string) ~ '</type>' }}
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| 97 |
-
{%- endif %}
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| 98 |
-
{%- if param_fields.description is defined %}
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| 99 |
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{{- '
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| 100 |
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<description>' ~ (param_fields.description | trim) ~ '</description>' }}
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| 101 |
-
{%- endif %}
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| 102 |
-
{%- if param_fields.enum is defined %}
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| 103 |
-
{{- '
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| 104 |
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<enum>' ~ (param_fields.enum | tojson | safe) ~ '</enum>' }}
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| 105 |
-
{%- endif %}
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| 106 |
-
{%- set handled_keys = ['name', 'type', 'description', 'enum'] %}
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| 107 |
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{{- render_extra_keys(param_fields, handled_keys) }}
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| 108 |
-
{{- '
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| 109 |
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</parameter>' }}
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| 110 |
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{%- endfor %}
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| 111 |
-
{%- endif %}
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| 112 |
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{% set handled_keys = ['type', 'properties', 'required'] %}
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| 113 |
-
{{- render_extra_keys(tool.parameters, handled_keys) }}
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| 114 |
-
{%- if tool.parameters is defined and tool.parameters.required is defined %}
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| 115 |
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{{- '
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| 116 |
-
<required>' ~ (tool.parameters.required | tojson | safe) ~ '</required>' }}
|
| 117 |
-
{%- endif %}
|
| 118 |
-
{{- '
|
| 119 |
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</parameters>' }}
|
| 120 |
-
{%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
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| 121 |
-
{{- render_extra_keys(tool, handled_keys) }}
|
| 122 |
-
{{- '
|
| 123 |
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</function>' }}
|
| 124 |
-
{%- endfor %}
|
| 125 |
-
{{- "
|
| 126 |
-
</tools>" }}
|
| 127 |
-
|
| 128 |
-
{{- '
|
| 129 |
-
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| 130 |
-
If you choose to call a function ONLY reply in the following format with NO suffix:
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| 131 |
-
|
| 132 |
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<tool_call>
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| 133 |
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<function=example_function_name>
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| 134 |
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<parameter=example_parameter_1>
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| 135 |
-
value_1
|
| 136 |
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</parameter>
|
| 137 |
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<parameter=example_parameter_2>
|
| 138 |
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This is the value for the second parameter
|
| 139 |
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that can span
|
| 140 |
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multiple lines
|
| 141 |
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</parameter>
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| 142 |
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</function>
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| 143 |
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</tool_call>
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| 144 |
-
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| 145 |
-
<IMPORTANT>
|
| 146 |
-
Reminder:
|
| 147 |
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- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags
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| 148 |
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- Required parameters MUST be specified
|
| 149 |
-
- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after
|
| 150 |
-
- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls
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| 151 |
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</IMPORTANT>' }}
|
| 152 |
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{%- endif %}
|
| 153 |
-
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| 154 |
-
|
| 155 |
-
{%- if system_message is defined %}
|
| 156 |
-
{{- '<|im_end|>
|
| 157 |
-
' }}
|
| 158 |
-
{%- else %}
|
| 159 |
-
{%- if tools is iterable and tools | length > 0 %}
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| 160 |
-
{{- '<|im_end|>
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| 161 |
-
' }}
|
| 162 |
-
{%- endif %}
|
| 163 |
-
{%- endif %}
|
| 164 |
-
|
| 165 |
-
{%- set image_count = namespace(value=0) %}
|
| 166 |
-
{%- set video_count = namespace(value=0) %}
|
| 167 |
-
{%- for message in loop_messages %}
|
| 168 |
-
{%- if message.role == "assistant" %}
|
| 169 |
-
{# Add reasoning content in to content field for unified processing below. #}
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| 170 |
-
{%- set text_content = namespace(text_content="") -%}
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| 171 |
-
{%- if message.content is string %}
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| 172 |
-
{%- set text_content.text_content = message.content %}
|
| 173 |
-
{%- else %}
|
| 174 |
-
{%- for content in message.content %}
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| 175 |
-
{%- if 'text' in content %}
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| 176 |
-
{%- set text_content.text_content = content.text %}
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| 177 |
-
{%- break %}
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| 178 |
-
{%- endif %}
|
| 179 |
-
{%- endfor %}
|
| 180 |
-
{%- endif %}
|
| 181 |
-
{%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
|
| 182 |
-
{%- set content = "<think>
|
| 183 |
-
" ~ message.reasoning_content ~ "
|
| 184 |
-
</think>
|
| 185 |
-
" ~ (text_content.text_content | default('', true)) %}
|
| 186 |
-
{%- else %}
|
| 187 |
-
{%- set content = text_content.text_content | default('', true) %}
|
| 188 |
-
{# Allow downstream logic to to take care of broken thought, only handle coherent reasoning here. #}
|
| 189 |
-
{%- if '<think>' not in content and '</think>' not in content %}
|
| 190 |
-
{%- set content = "<think></think>" ~ content %}
|
| 191 |
-
{%- else %}
|
| 192 |
-
{%- set content = content %}
|
| 193 |
-
{%- endif -%}
|
| 194 |
-
{%- endif %}
|
| 195 |
-
{%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
|
| 196 |
-
{# Assistant message has tool calls. #}
|
| 197 |
-
{{- '<|im_start|>assistant
|
| 198 |
-
' }}
|
| 199 |
-
{%- set include_content = not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 200 |
-
{%- if content is string and content | trim | length > 0 %}
|
| 201 |
-
{%- if include_content %}
|
| 202 |
-
{{- (content | trim) ~ '
|
| 203 |
-
' -}}
|
| 204 |
-
{%- else %}
|
| 205 |
-
{%- set c = (content | string) %}
|
| 206 |
-
{%- if '</think>' in c %}
|
| 207 |
-
{# Keep only content after the last closing think. Also generation prompt causes this. #}
|
| 208 |
-
{%- set c = c.split('</think>')[-1] %}
|
| 209 |
-
{%- elif '<think>' in c %}
|
| 210 |
-
{# If <think> was opened but never closed, drop the trailing think segment #}
|
| 211 |
-
{%- set c = c.split('<think>')[0] %}
|
| 212 |
-
{%- endif %}
|
| 213 |
-
{%- set c = "<think></think>" ~ c | trim %}
|
| 214 |
-
{%- if c | length > 0 %}
|
| 215 |
-
{{- c ~ '
|
| 216 |
-
' -}}
|
| 217 |
-
{%- endif %}
|
| 218 |
-
{%- endif %}
|
| 219 |
-
{%- else %}
|
| 220 |
-
{{- "<think></think>" -}}
|
| 221 |
-
{%- endif %}
|
| 222 |
-
{%- for tool_call in message.tool_calls %}
|
| 223 |
-
{%- if tool_call.function is defined %}
|
| 224 |
-
{%- set tool_call = tool_call.function %}
|
| 225 |
-
{%- endif %}
|
| 226 |
-
{{- '<tool_call>
|
| 227 |
-
<function=' ~ tool_call.name ~ '>
|
| 228 |
-
' -}}
|
| 229 |
-
{%- if tool_call.arguments is defined %}
|
| 230 |
-
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 231 |
-
{{- '<parameter=' ~ args_name ~ '>
|
| 232 |
-
' -}}
|
| 233 |
-
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 234 |
-
{{- args_value ~ '
|
| 235 |
-
</parameter>
|
| 236 |
-
' -}}
|
| 237 |
-
{%- endfor %}
|
| 238 |
-
{%- endif %}
|
| 239 |
-
{{- '</function>
|
| 240 |
-
</tool_call>
|
| 241 |
-
' -}}
|
| 242 |
-
{%- endfor %}
|
| 243 |
-
{{- '<|im_end|>
|
| 244 |
-
' }}
|
| 245 |
-
{%- else %}
|
| 246 |
-
{# Assistant message doesn't have tool calls. #}
|
| 247 |
-
{%- if not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 248 |
-
{{- '<|im_start|>assistant
|
| 249 |
-
' ~ (content | default('', true) | string | trim) ~ '<|im_end|>
|
| 250 |
-
' }}
|
| 251 |
-
{%- else %}
|
| 252 |
-
{%- set c = (content | default('', true) | string) %}
|
| 253 |
-
{%- if '<think>' in c and '</think>' in c %}
|
| 254 |
-
{%- set c = "<think></think>" ~ c.split('</think>')[-1] %}
|
| 255 |
-
{%- endif %}
|
| 256 |
-
{%- set c = c | trim %}
|
| 257 |
-
{%- if c | length > 0 %}
|
| 258 |
-
{{- '<|im_start|>assistant
|
| 259 |
-
' ~ c ~ '<|im_end|>
|
| 260 |
-
' }}
|
| 261 |
-
{%- else %}
|
| 262 |
-
{{- '<|im_start|>assistant
|
| 263 |
-
<|im_end|>
|
| 264 |
-
' }}
|
| 265 |
-
{%- endif %}
|
| 266 |
-
{%- endif %}
|
| 267 |
-
{%- endif %}
|
| 268 |
-
{%- elif message.role == "user" or message.role == "system" %}
|
| 269 |
-
{{- '<|im_start|>' + message.role + '
|
| 270 |
-
' }}
|
| 271 |
-
{%- if message.content is string %}
|
| 272 |
-
{{- message.content }}
|
| 273 |
-
{%- else %}
|
| 274 |
-
{%- for content in message.content %}
|
| 275 |
-
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 276 |
-
{%- set image_count.value = image_count.value + 1 %}
|
| 277 |
-
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 278 |
-
<|vision_start|><|image_pad|><|vision_end|>
|
| 279 |
-
{%- elif content.type == 'video' or 'video' in content %}
|
| 280 |
-
{%- set video_count.value = video_count.value + 1 %}
|
| 281 |
-
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 282 |
-
<|vision_start|><|video_pad|><|vision_end|>
|
| 283 |
-
{%- elif 'text' in content %}
|
| 284 |
-
{{- content.text }}
|
| 285 |
-
{%- endif %}
|
| 286 |
-
{%- endfor %}
|
| 287 |
-
{%- endif %}
|
| 288 |
-
{{- '<|im_end|>
|
| 289 |
-
' }}
|
| 290 |
-
{%- elif message.role == "tool" %}
|
| 291 |
-
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 292 |
-
{{- '<|im_start|>user
|
| 293 |
-
' }}
|
| 294 |
-
{%- endif %}
|
| 295 |
-
{{- '<tool_response>
|
| 296 |
-
' }}
|
| 297 |
-
{{- message.content }}
|
| 298 |
-
{{- '
|
| 299 |
-
</tool_response>
|
| 300 |
-
' }}
|
| 301 |
-
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 302 |
-
{{- '<|im_end|>
|
| 303 |
-
' }}
|
| 304 |
-
{%- elif loop.last %}
|
| 305 |
-
{{- '<|im_end|>
|
| 306 |
-
' }}
|
| 307 |
-
{%- endif %}
|
| 308 |
-
{%- else %}
|
| 309 |
-
{{- '<|im_start|>' + message.role + '
|
| 310 |
-
' + message.content + '<|im_end|>
|
| 311 |
-
' }}
|
| 312 |
-
{%- endif %}
|
| 313 |
-
{%- endfor %}
|
| 314 |
-
|
| 315 |
-
{%- if add_generation_prompt %}
|
| 316 |
-
{%- if enable_thinking %}
|
| 317 |
-
{{- '<|im_start|>assistant
|
| 318 |
-
<think>
|
| 319 |
-
' }}
|
| 320 |
-
{%- else %}
|
| 321 |
-
{{- '<|im_start|>assistant
|
| 322 |
-
<think></think>' }}
|
| 323 |
-
{%- endif %}
|
| 324 |
-
{%- endif %}
|
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|
cosmos3edge_libero_goal_full_finetune_bs16/tokenizer/special_tokens_map.json
DELETED
|
@@ -1,30 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token": {
|
| 3 |
-
"content": "<s>",
|
| 4 |
-
"lstrip": false,
|
| 5 |
-
"normalized": false,
|
| 6 |
-
"rstrip": false,
|
| 7 |
-
"single_word": false
|
| 8 |
-
},
|
| 9 |
-
"eos_token": {
|
| 10 |
-
"content": "<|im_end|>",
|
| 11 |
-
"lstrip": false,
|
| 12 |
-
"normalized": false,
|
| 13 |
-
"rstrip": false,
|
| 14 |
-
"single_word": false
|
| 15 |
-
},
|
| 16 |
-
"pad_token": {
|
| 17 |
-
"content": "<|im_end|>",
|
| 18 |
-
"lstrip": false,
|
| 19 |
-
"normalized": false,
|
| 20 |
-
"rstrip": false,
|
| 21 |
-
"single_word": false
|
| 22 |
-
},
|
| 23 |
-
"unk_token": {
|
| 24 |
-
"content": "<unk>",
|
| 25 |
-
"lstrip": false,
|
| 26 |
-
"normalized": false,
|
| 27 |
-
"rstrip": false,
|
| 28 |
-
"single_word": false
|
| 29 |
-
}
|
| 30 |
-
}
|
|
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|
cosmos3edge_libero_goal_full_finetune_bs16/tokenizer/tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:4dc692a99dca6d92a44e9529ffb53541eb79bb260eec7281bc51268c05d7311c
|
| 3 |
-
size 17077500
|
|
|
|
|
|
|
|
|
|
|
|
cosmos3edge_libero_goal_full_finetune_bs16/tokenizer/tokenizer_config.json
DELETED
|
@@ -1,17 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_prefix_space": false,
|
| 3 |
-
"backend": "tokenizers",
|
| 4 |
-
"bos_token": "<s>",
|
| 5 |
-
"clean_up_tokenization_spaces": false,
|
| 6 |
-
"eos_token": "<|im_end|>",
|
| 7 |
-
"is_local": true,
|
| 8 |
-
"local_files_only": false,
|
| 9 |
-
"model_input_names": [
|
| 10 |
-
"input_ids",
|
| 11 |
-
"attention_mask"
|
| 12 |
-
],
|
| 13 |
-
"model_max_length": 262144,
|
| 14 |
-
"pad_token": "<|im_end|>",
|
| 15 |
-
"tokenizer_class": "TokenizersBackend",
|
| 16 |
-
"unk_token": "<unk>"
|
| 17 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
cosmos3edge_libero_goal_full_finetune_bs16/vlm_backbone_config.json
DELETED
|
@@ -1,41 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"attention_bias": false,
|
| 3 |
-
"attention_dropout": 0.0,
|
| 4 |
-
"bos_token_id": 1,
|
| 5 |
-
"enable_mrope": true,
|
| 6 |
-
"enable_rope": true,
|
| 7 |
-
"eos_token_id": 11,
|
| 8 |
-
"head_dim": 128,
|
| 9 |
-
"hidden_dropout": 0.0,
|
| 10 |
-
"hidden_size": 2048,
|
| 11 |
-
"initializer_range": 0.02,
|
| 12 |
-
"intermediate_size": 9216,
|
| 13 |
-
"layer_norm_epsilon": 1e-05,
|
| 14 |
-
"max_position_embeddings": 131072,
|
| 15 |
-
"mlp_bias": false,
|
| 16 |
-
"mlp_hidden_act": "relu2",
|
| 17 |
-
"model_type": "nemotron_3_dense_vl_text",
|
| 18 |
-
"mrope_section": [
|
| 19 |
-
24,
|
| 20 |
-
20,
|
| 21 |
-
20
|
| 22 |
-
],
|
| 23 |
-
"num_attention_heads": 16,
|
| 24 |
-
"num_hidden_layers": 28,
|
| 25 |
-
"num_key_value_heads": 8,
|
| 26 |
-
"num_logits_to_keep": 1,
|
| 27 |
-
"packed_attention_backend": "flash2",
|
| 28 |
-
"pad_token_id": 11,
|
| 29 |
-
"residual_in_fp32": false,
|
| 30 |
-
"rope_parameters": {
|
| 31 |
-
"rope_theta": 100000000.0,
|
| 32 |
-
"rope_type": "default"
|
| 33 |
-
},
|
| 34 |
-
"rope_theta": 100000000.0,
|
| 35 |
-
"sliding_window": null,
|
| 36 |
-
"tie_word_embeddings": false,
|
| 37 |
-
"transformers_version": "5.3.0",
|
| 38 |
-
"use_cache": true,
|
| 39 |
-
"use_und_k_norm_for_gen": true,
|
| 40 |
-
"vocab_size": 131072
|
| 41 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
cosmos3edge_libero_object_full_finetune_bs16/checkpoints/step-002000-epoch-60-loss=0.6041.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:158e1d9a29accb4fe6d9834b215f129290b94db1c1ffdbaafbd6209482021a24
|
| 3 |
-
size 16297490208
|
|
|
|
|
|
|
|
|
|
|
|
cosmos3edge_libero_object_full_finetune_bs16/config.json
DELETED
|
@@ -1,669 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"eval": {
|
| 3 |
-
"dataset": {
|
| 4 |
-
"extra_tensor_keys": [
|
| 5 |
-
"conditioning_fps",
|
| 6 |
-
"prepend_state_to_action"
|
| 7 |
-
],
|
| 8 |
-
"img_buffer_len": 1,
|
| 9 |
-
"transforms": [
|
| 10 |
-
{
|
| 11 |
-
"embodiment_id": 5,
|
| 12 |
-
"img_keys": [
|
| 13 |
-
"agentview_image",
|
| 14 |
-
"robot0_eye_in_hand_image"
|
| 15 |
-
],
|
| 16 |
-
"type": "ProcessLiberoEvalInputs"
|
| 17 |
-
},
|
| 18 |
-
{
|
| 19 |
-
"conditioning_fps": 20.0,
|
| 20 |
-
"prepend_state_to_action": false,
|
| 21 |
-
"type": "SetCosmos3ActionMetadata"
|
| 22 |
-
},
|
| 23 |
-
{
|
| 24 |
-
"image_resize_strategy": "resize-naive",
|
| 25 |
-
"input_sizes": [
|
| 26 |
-
[
|
| 27 |
-
3,
|
| 28 |
-
256,
|
| 29 |
-
256
|
| 30 |
-
],
|
| 31 |
-
[
|
| 32 |
-
3,
|
| 33 |
-
256,
|
| 34 |
-
256
|
| 35 |
-
]
|
| 36 |
-
],
|
| 37 |
-
"means": [
|
| 38 |
-
[
|
| 39 |
-
127.5,
|
| 40 |
-
127.5,
|
| 41 |
-
127.5
|
| 42 |
-
],
|
| 43 |
-
[
|
| 44 |
-
127.5,
|
| 45 |
-
127.5,
|
| 46 |
-
127.5
|
| 47 |
-
]
|
| 48 |
-
],
|
| 49 |
-
"stds": [
|
| 50 |
-
[
|
| 51 |
-
127.5,
|
| 52 |
-
127.5,
|
| 53 |
-
127.5
|
| 54 |
-
],
|
| 55 |
-
[
|
| 56 |
-
127.5,
|
| 57 |
-
127.5,
|
| 58 |
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| 413 |
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| 415 |
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| 416 |
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| 424 |
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| 425 |
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| 426 |
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| 427 |
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|
cosmos3edge_libero_object_full_finetune_bs16/config.yaml
DELETED
|
@@ -1,549 +0,0 @@
|
|
| 1 |
-
eval:
|
| 2 |
-
dataset:
|
| 3 |
-
extra_tensor_keys:
|
| 4 |
-
- conditioning_fps
|
| 5 |
-
- prepend_state_to_action
|
| 6 |
-
img_buffer_len: 1
|
| 7 |
-
transforms:
|
| 8 |
-
- embodiment_id: 5
|
| 9 |
-
img_keys:
|
| 10 |
-
- agentview_image
|
| 11 |
-
- robot0_eye_in_hand_image
|
| 12 |
-
type: ProcessLiberoEvalInputs
|
| 13 |
-
- conditioning_fps: 20.0
|
| 14 |
-
prepend_state_to_action: false
|
| 15 |
-
type: SetCosmos3ActionMetadata
|
| 16 |
-
- image_resize_strategy: resize-naive
|
| 17 |
-
input_sizes:
|
| 18 |
-
- - 3
|
| 19 |
-
- 256
|
| 20 |
-
- 256
|
| 21 |
-
- - 3
|
| 22 |
-
- 256
|
| 23 |
-
- 256
|
| 24 |
-
means:
|
| 25 |
-
- - 127.5
|
| 26 |
-
- 127.5
|
| 27 |
-
- 127.5
|
| 28 |
-
- - 127.5
|
| 29 |
-
- 127.5
|
| 30 |
-
- 127.5
|
| 31 |
-
stds:
|
| 32 |
-
- - 127.5
|
| 33 |
-
- 127.5
|
| 34 |
-
- 127.5
|
| 35 |
-
- - 127.5
|
| 36 |
-
- 127.5
|
| 37 |
-
- 127.5
|
| 38 |
-
type: TransformImage
|
| 39 |
-
- action_metadata:
|
| 40 |
-
append_viewpoint: false
|
| 41 |
-
conditioning_fps: 20.0
|
| 42 |
-
frame_window_size: 17
|
| 43 |
-
video_height: 256
|
| 44 |
-
video_width: 512
|
| 45 |
-
cfg_dropout_rate: 0.0
|
| 46 |
-
max_len: 512
|
| 47 |
-
output_attention_mask_key: lang_masks
|
| 48 |
-
output_key: lang_tokens
|
| 49 |
-
tokenizer:
|
| 50 |
-
model_max_length: 4096
|
| 51 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 52 |
-
padding_side: right
|
| 53 |
-
trust_remote_code: true
|
| 54 |
-
type: PretrainedTokenizer
|
| 55 |
-
type: ProcessCosmos3Prompt
|
| 56 |
-
- gripper_key: robot0_gripper_qpos
|
| 57 |
-
norm_type: mean_std
|
| 58 |
-
out_key: states
|
| 59 |
-
pos_key: robot0_eef_pos
|
| 60 |
-
quat_key: robot0_eef_quat
|
| 61 |
-
state_dim: 64
|
| 62 |
-
type: LiberoProprioFromInputs
|
| 63 |
-
- frame_window_size: 1
|
| 64 |
-
num_views: 2
|
| 65 |
-
tile_direction: horizontal
|
| 66 |
-
type: PrepareVideo
|
| 67 |
-
type: LiberoParquetEvalDataset
|
| 68 |
-
denormalize_action:
|
| 69 |
-
action_dim: 10
|
| 70 |
-
norm_type: quantile_rot
|
| 71 |
-
type: DenormalizeLiberoFramewiseRot6DAction
|
| 72 |
-
enable_mixed_precision_training: true
|
| 73 |
-
eval_chunk_size: 16
|
| 74 |
-
inference_seed: 7
|
| 75 |
-
mixed_precision_dtype: bf16
|
| 76 |
-
model_family: cosmos3
|
| 77 |
-
norm_stats_key: libero_object_no_noops
|
| 78 |
-
num_inference_steps: 30
|
| 79 |
-
num_steps_wait: 10
|
| 80 |
-
num_trials_per_task: 50
|
| 81 |
-
resize_size: 256
|
| 82 |
-
seed: 7
|
| 83 |
-
task_ids: null
|
| 84 |
-
task_suite_name: libero_object
|
| 85 |
-
type: LiberoEvalRunner
|
| 86 |
-
inference_model:
|
| 87 |
-
action_horizon: 16
|
| 88 |
-
action_in_proj:
|
| 89 |
-
input_size: 64
|
| 90 |
-
num_domains: 32
|
| 91 |
-
output_size: 2048
|
| 92 |
-
type: DomainAwareLinear
|
| 93 |
-
action_out_proj:
|
| 94 |
-
input_size: 2048
|
| 95 |
-
num_domains: 32
|
| 96 |
-
output_size: 64
|
| 97 |
-
type: DomainAwareLinear
|
| 98 |
-
base_fps: 24.0
|
| 99 |
-
enable_fps_modulation: true
|
| 100 |
-
enable_vision_loss: true
|
| 101 |
-
freeze_non_moe_vlm_backbone: true
|
| 102 |
-
freeze_vlm_backbone: false
|
| 103 |
-
latent_patch_size: 2
|
| 104 |
-
max_action_dim: 64
|
| 105 |
-
name_mapping:
|
| 106 |
-
.self_attn.k_norm_moe_gen.: .self_attn.norm_added_k.
|
| 107 |
-
.self_attn.k_proj.: .self_attn.to_k.
|
| 108 |
-
.self_attn.k_proj_moe_gen.: .self_attn.add_k_proj.
|
| 109 |
-
.self_attn.o_proj.: .self_attn.to_out.
|
| 110 |
-
.self_attn.o_proj_moe_gen.: .self_attn.to_add_out.
|
| 111 |
-
.self_attn.q_norm_moe_gen.: .self_attn.norm_added_q.
|
| 112 |
-
.self_attn.q_proj.: .self_attn.to_q.
|
| 113 |
-
.self_attn.q_proj_moe_gen.: .self_attn.add_q_proj.
|
| 114 |
-
.self_attn.v_proj.: .self_attn.to_v.
|
| 115 |
-
.self_attn.v_proj_moe_gen.: .self_attn.add_v_proj.
|
| 116 |
-
action_in_proj.: action_proj_in.
|
| 117 |
-
action_modality_embed: action_modality_embed
|
| 118 |
-
action_out_proj.: action_proj_out.
|
| 119 |
-
time_embedder.mlp.0.: time_embedder.linear_1.
|
| 120 |
-
time_embedder.mlp.2.: time_embedder.linear_2.
|
| 121 |
-
vision_in_proj.projector.: proj_in.
|
| 122 |
-
vision_out_proj.projector.: proj_out.
|
| 123 |
-
vlm_backbone.lm_head.weight: lm_head.weight
|
| 124 |
-
vlm_backbone.model.language_model.embed_tokens.weight: embed_tokens.weight
|
| 125 |
-
vlm_backbone.model.language_model.layers.: layers.
|
| 126 |
-
vlm_backbone.model.language_model.norm.weight: norm.weight
|
| 127 |
-
vlm_backbone.model.language_model.norm_moe_gen.weight: norm_moe_gen.weight
|
| 128 |
-
num_embodiment_domains: 32
|
| 129 |
-
ori_action_dim: 10
|
| 130 |
-
packed_attention_backend: flash2
|
| 131 |
-
position_embedding_type: unified_3d_mrope
|
| 132 |
-
pretrained_name_or_path: ./checkpoints/Cosmos3-Edge/transformer
|
| 133 |
-
rectified_flow_inference_config:
|
| 134 |
-
num_steps: 30
|
| 135 |
-
num_train_timesteps: 1000
|
| 136 |
-
scheduler_type: unipc
|
| 137 |
-
shift: 10.0
|
| 138 |
-
use_dynamic_shifting: false
|
| 139 |
-
use_karras_sigmas: false
|
| 140 |
-
rectified_flow_training_config:
|
| 141 |
-
action_loss_weight: 10.0
|
| 142 |
-
independent_action_schedule: false
|
| 143 |
-
normalize_loss_by_active: false
|
| 144 |
-
shift:
|
| 145 |
-
'256': 3
|
| 146 |
-
'480': 5
|
| 147 |
-
'720': 10
|
| 148 |
-
shift_action: null
|
| 149 |
-
train_time_action_distribution: logitnormal
|
| 150 |
-
train_time_image_distribution: logitnormal
|
| 151 |
-
train_time_video_distribution: waver
|
| 152 |
-
train_time_weight: uniform
|
| 153 |
-
use_discrete_rf: false
|
| 154 |
-
use_dynamic_shift: false
|
| 155 |
-
use_high_sigma_strategy: false
|
| 156 |
-
use_high_sigma_strategy_action: false
|
| 157 |
-
vision_loss_weight: 10.0
|
| 158 |
-
reinitialize_action_policy: true
|
| 159 |
-
special_tokens:
|
| 160 |
-
end_of_generation: 21
|
| 161 |
-
eos_token_id: 11
|
| 162 |
-
start_of_generation: 20
|
| 163 |
-
strict_mapping: true
|
| 164 |
-
timestep_scale: 0.001
|
| 165 |
-
type: Cosmos3FlowMatching
|
| 166 |
-
unified_3d_mrope_reset_spatial_ids: true
|
| 167 |
-
unified_3d_mrope_temporal_modality_margin: 15000
|
| 168 |
-
vision_in_proj:
|
| 169 |
-
in_dim: 192
|
| 170 |
-
out_dim: 2048
|
| 171 |
-
type: LinearProjector
|
| 172 |
-
vision_latent_dim: 48
|
| 173 |
-
vision_out_proj:
|
| 174 |
-
in_dim: 2048
|
| 175 |
-
out_dim: 192
|
| 176 |
-
type: LinearProjector
|
| 177 |
-
vision_vae:
|
| 178 |
-
encode_exact_durations:
|
| 179 |
-
- 17
|
| 180 |
-
pretrained_name_or_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 181 |
-
type: Cosmos3Wan22VAE
|
| 182 |
-
vlm_backbone:
|
| 183 |
-
include_visual: false
|
| 184 |
-
skip_init_weights: true
|
| 185 |
-
type: Cosmos3MoTBackbone
|
| 186 |
-
vlm_config:
|
| 187 |
-
attention_bias: false
|
| 188 |
-
bos_token_id: 1
|
| 189 |
-
enable_mrope: true
|
| 190 |
-
eos_token_id: 11
|
| 191 |
-
head_dim: 128
|
| 192 |
-
hidden_size: 2048
|
| 193 |
-
intermediate_size: 9216
|
| 194 |
-
layer_norm_epsilon: 1.0e-05
|
| 195 |
-
max_position_embeddings: 131072
|
| 196 |
-
mlp_bias: false
|
| 197 |
-
mlp_hidden_act: relu2
|
| 198 |
-
model_type: nemotron_3_dense_vl_text
|
| 199 |
-
mrope_section:
|
| 200 |
-
- 24
|
| 201 |
-
- 20
|
| 202 |
-
- 20
|
| 203 |
-
num_attention_heads: 16
|
| 204 |
-
num_hidden_layers: 28
|
| 205 |
-
num_key_value_heads: 8
|
| 206 |
-
pad_token_id: 11
|
| 207 |
-
rope_theta: 100000000.0
|
| 208 |
-
tie_word_embeddings: false
|
| 209 |
-
use_und_k_norm_for_gen: true
|
| 210 |
-
vocab_size: 131072
|
| 211 |
-
model:
|
| 212 |
-
action_horizon: 16
|
| 213 |
-
action_in_proj:
|
| 214 |
-
input_size: 64
|
| 215 |
-
num_domains: 32
|
| 216 |
-
output_size: 2048
|
| 217 |
-
type: DomainAwareLinear
|
| 218 |
-
action_out_proj:
|
| 219 |
-
input_size: 2048
|
| 220 |
-
num_domains: 32
|
| 221 |
-
output_size: 64
|
| 222 |
-
type: DomainAwareLinear
|
| 223 |
-
base_fps: 24.0
|
| 224 |
-
enable_fps_modulation: true
|
| 225 |
-
enable_vision_loss: true
|
| 226 |
-
freeze_non_moe_vlm_backbone: true
|
| 227 |
-
freeze_vlm_backbone: false
|
| 228 |
-
latent_patch_size: 2
|
| 229 |
-
max_action_dim: 64
|
| 230 |
-
name_mapping:
|
| 231 |
-
.self_attn.k_norm_moe_gen.: .self_attn.norm_added_k.
|
| 232 |
-
.self_attn.k_proj.: .self_attn.to_k.
|
| 233 |
-
.self_attn.k_proj_moe_gen.: .self_attn.add_k_proj.
|
| 234 |
-
.self_attn.o_proj.: .self_attn.to_out.
|
| 235 |
-
.self_attn.o_proj_moe_gen.: .self_attn.to_add_out.
|
| 236 |
-
.self_attn.q_norm_moe_gen.: .self_attn.norm_added_q.
|
| 237 |
-
.self_attn.q_proj.: .self_attn.to_q.
|
| 238 |
-
.self_attn.q_proj_moe_gen.: .self_attn.add_q_proj.
|
| 239 |
-
.self_attn.v_proj.: .self_attn.to_v.
|
| 240 |
-
.self_attn.v_proj_moe_gen.: .self_attn.add_v_proj.
|
| 241 |
-
action_in_proj.: action_proj_in.
|
| 242 |
-
action_modality_embed: action_modality_embed
|
| 243 |
-
action_out_proj.: action_proj_out.
|
| 244 |
-
time_embedder.mlp.0.: time_embedder.linear_1.
|
| 245 |
-
time_embedder.mlp.2.: time_embedder.linear_2.
|
| 246 |
-
vision_in_proj.projector.: proj_in.
|
| 247 |
-
vision_out_proj.projector.: proj_out.
|
| 248 |
-
vlm_backbone.lm_head.weight: lm_head.weight
|
| 249 |
-
vlm_backbone.model.language_model.embed_tokens.weight: embed_tokens.weight
|
| 250 |
-
vlm_backbone.model.language_model.layers.: layers.
|
| 251 |
-
vlm_backbone.model.language_model.norm.weight: norm.weight
|
| 252 |
-
vlm_backbone.model.language_model.norm_moe_gen.weight: norm_moe_gen.weight
|
| 253 |
-
num_embodiment_domains: 32
|
| 254 |
-
ori_action_dim: 10
|
| 255 |
-
packed_attention_backend: flash2
|
| 256 |
-
position_embedding_type: unified_3d_mrope
|
| 257 |
-
pretrained_name_or_path: ./checkpoints/Cosmos3-Edge/transformer
|
| 258 |
-
rectified_flow_inference_config:
|
| 259 |
-
num_steps: 30
|
| 260 |
-
num_train_timesteps: 1000
|
| 261 |
-
scheduler_type: unipc
|
| 262 |
-
shift: 10.0
|
| 263 |
-
use_dynamic_shifting: false
|
| 264 |
-
use_karras_sigmas: false
|
| 265 |
-
rectified_flow_training_config:
|
| 266 |
-
action_loss_weight: 10.0
|
| 267 |
-
independent_action_schedule: false
|
| 268 |
-
normalize_loss_by_active: false
|
| 269 |
-
shift:
|
| 270 |
-
'256': 3
|
| 271 |
-
'480': 5
|
| 272 |
-
'720': 10
|
| 273 |
-
shift_action: null
|
| 274 |
-
train_time_action_distribution: logitnormal
|
| 275 |
-
train_time_image_distribution: logitnormal
|
| 276 |
-
train_time_video_distribution: waver
|
| 277 |
-
train_time_weight: uniform
|
| 278 |
-
use_discrete_rf: false
|
| 279 |
-
use_dynamic_shift: false
|
| 280 |
-
use_high_sigma_strategy: false
|
| 281 |
-
use_high_sigma_strategy_action: false
|
| 282 |
-
vision_loss_weight: 10.0
|
| 283 |
-
reinitialize_action_policy: true
|
| 284 |
-
special_tokens:
|
| 285 |
-
end_of_generation: 21
|
| 286 |
-
eos_token_id: 11
|
| 287 |
-
start_of_generation: 20
|
| 288 |
-
strict_mapping: true
|
| 289 |
-
timestep_scale: 0.001
|
| 290 |
-
type: Cosmos3FlowMatching
|
| 291 |
-
unified_3d_mrope_reset_spatial_ids: true
|
| 292 |
-
unified_3d_mrope_temporal_modality_margin: 15000
|
| 293 |
-
vision_in_proj:
|
| 294 |
-
in_dim: 192
|
| 295 |
-
out_dim: 2048
|
| 296 |
-
type: LinearProjector
|
| 297 |
-
vision_latent_dim: 48
|
| 298 |
-
vision_out_proj:
|
| 299 |
-
in_dim: 2048
|
| 300 |
-
out_dim: 192
|
| 301 |
-
type: LinearProjector
|
| 302 |
-
vision_vae:
|
| 303 |
-
encode_exact_durations:
|
| 304 |
-
- 17
|
| 305 |
-
pretrained_name_or_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 306 |
-
type: Cosmos3Wan22VAE
|
| 307 |
-
vlm_backbone:
|
| 308 |
-
include_visual: false
|
| 309 |
-
skip_init_weights: true
|
| 310 |
-
type: Cosmos3MoTBackbone
|
| 311 |
-
vlm_config:
|
| 312 |
-
attention_bias: false
|
| 313 |
-
bos_token_id: 1
|
| 314 |
-
enable_mrope: true
|
| 315 |
-
eos_token_id: 11
|
| 316 |
-
head_dim: 128
|
| 317 |
-
hidden_size: 2048
|
| 318 |
-
intermediate_size: 9216
|
| 319 |
-
layer_norm_epsilon: 1.0e-05
|
| 320 |
-
max_position_embeddings: 131072
|
| 321 |
-
mlp_bias: false
|
| 322 |
-
mlp_hidden_act: relu2
|
| 323 |
-
model_type: nemotron_3_dense_vl_text
|
| 324 |
-
mrope_section:
|
| 325 |
-
- 24
|
| 326 |
-
- 20
|
| 327 |
-
- 20
|
| 328 |
-
num_attention_heads: 16
|
| 329 |
-
num_hidden_layers: 28
|
| 330 |
-
num_key_value_heads: 8
|
| 331 |
-
pad_token_id: 11
|
| 332 |
-
rope_theta: 100000000.0
|
| 333 |
-
tie_word_embeddings: false
|
| 334 |
-
use_und_k_norm_for_gen: true
|
| 335 |
-
vocab_size: 131072
|
| 336 |
-
runner:
|
| 337 |
-
change_key_name: false
|
| 338 |
-
collator:
|
| 339 |
-
list_keys:
|
| 340 |
-
- sequence_plan
|
| 341 |
-
meta_keys:
|
| 342 |
-
- task_description
|
| 343 |
-
- stats
|
| 344 |
-
- info
|
| 345 |
-
- timestamp
|
| 346 |
-
pad_id: 11
|
| 347 |
-
sequence_keys:
|
| 348 |
-
- text_token_ids
|
| 349 |
-
tensor_keys:
|
| 350 |
-
- images
|
| 351 |
-
- actions
|
| 352 |
-
- embodiment_ids
|
| 353 |
-
- raw_action_dim
|
| 354 |
-
- conditioning_fps
|
| 355 |
-
- action_fps
|
| 356 |
-
type: Cosmos3Collator
|
| 357 |
-
enable_gradient_checkpointing: true
|
| 358 |
-
enable_mixed_precision_training: true
|
| 359 |
-
grad_accumulation_steps: 16
|
| 360 |
-
lr_scheduler:
|
| 361 |
-
cycle_length: 16000
|
| 362 |
-
type: linear-warmup+linear-decay
|
| 363 |
-
warmup_steps: 500
|
| 364 |
-
max_epochs: null
|
| 365 |
-
max_grad_norm: 1.0
|
| 366 |
-
max_keep_ckpts: 2
|
| 367 |
-
max_steps: 2000
|
| 368 |
-
metric:
|
| 369 |
-
active_trackers:
|
| 370 |
-
- jsonl
|
| 371 |
-
- wandb
|
| 372 |
-
grad_accumulation_steps: 16
|
| 373 |
-
run_dir: work_dirs
|
| 374 |
-
type: VLAMetric
|
| 375 |
-
window_size: 1
|
| 376 |
-
mixed_precision_dtype: bf16
|
| 377 |
-
optimizer:
|
| 378 |
-
betas:
|
| 379 |
-
- 0.9
|
| 380 |
-
- 0.99
|
| 381 |
-
eps: 1.0e-08
|
| 382 |
-
exclude_1d_from_weight_decay: false
|
| 383 |
-
fused: true
|
| 384 |
-
lr: 5.0e-05
|
| 385 |
-
paramwise_learning_rate:
|
| 386 |
-
action_in_proj.: 0.00025
|
| 387 |
-
action_modality_embed: 0.00025
|
| 388 |
-
action_out_proj.: 0.00025
|
| 389 |
-
type: AdamW
|
| 390 |
-
weight_decay: 0.05
|
| 391 |
-
sampler: null
|
| 392 |
-
save_iter_interval: 500
|
| 393 |
-
sharding_strategy: full-shard
|
| 394 |
-
tokenizer:
|
| 395 |
-
model_max_length: 4096
|
| 396 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 397 |
-
padding_side: right
|
| 398 |
-
trust_remote_code: true
|
| 399 |
-
type: PretrainedTokenizer
|
| 400 |
-
type: FSDPTrainRunner
|
| 401 |
-
seed: 7
|
| 402 |
-
train_dataloader:
|
| 403 |
-
dataset:
|
| 404 |
-
datasets:
|
| 405 |
-
action_key: action
|
| 406 |
-
action_window_size: 16
|
| 407 |
-
data_root_path: /mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_object_no_noops_lerobot
|
| 408 |
-
frame_window_size: 17
|
| 409 |
-
require_full_window: true
|
| 410 |
-
statistic_name: libero_object_no_noops
|
| 411 |
-
transforms:
|
| 412 |
-
- embodiment_id: 5
|
| 413 |
-
name_mappings:
|
| 414 |
-
actions:
|
| 415 |
-
- actions
|
| 416 |
-
observation.state:
|
| 417 |
-
- states
|
| 418 |
-
parquet_keys:
|
| 419 |
-
- observation.state
|
| 420 |
-
- timestamp
|
| 421 |
-
- actions
|
| 422 |
-
- info
|
| 423 |
-
- stats
|
| 424 |
-
type: ProcessParquetInputs
|
| 425 |
-
video_keys:
|
| 426 |
-
- observation.images.image
|
| 427 |
-
- observation.images.wrist_image
|
| 428 |
-
- type: LiberoFramewiseActionToRot6D
|
| 429 |
-
- action_metadata:
|
| 430 |
-
append_viewpoint: false
|
| 431 |
-
conditioning_fps: 20.0
|
| 432 |
-
frame_window_size: 17
|
| 433 |
-
video_height: 256
|
| 434 |
-
video_width: 512
|
| 435 |
-
cfg_dropout_rate: 0.1
|
| 436 |
-
max_len: 512
|
| 437 |
-
tokenizer:
|
| 438 |
-
model_max_length: 4096
|
| 439 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 440 |
-
padding_side: right
|
| 441 |
-
trust_remote_code: true
|
| 442 |
-
type: PretrainedTokenizer
|
| 443 |
-
type: ProcessCosmos3Prompt
|
| 444 |
-
- height: 256
|
| 445 |
-
type: ResizeImages
|
| 446 |
-
width: 256
|
| 447 |
-
- type: SimpleNormalizeImages
|
| 448 |
-
- action_dim: 64
|
| 449 |
-
action_key: action
|
| 450 |
-
action_norm_type: quantile
|
| 451 |
-
state_dim: 64
|
| 452 |
-
state_key: proprio
|
| 453 |
-
state_norm_type: none
|
| 454 |
-
type: NormalizeStatesAndActions
|
| 455 |
-
- conditioning_fps: 20.0
|
| 456 |
-
frame_window_size: 17
|
| 457 |
-
mode: wam
|
| 458 |
-
prepend_state_to_action: false
|
| 459 |
-
raw_action_dim: 10
|
| 460 |
-
type: BuildCosmos3Sequence
|
| 461 |
-
- frame_window_size: 17
|
| 462 |
-
num_views: 2
|
| 463 |
-
tile_direction: horizontal
|
| 464 |
-
type: PrepareVideo
|
| 465 |
-
type: ParquetDataset
|
| 466 |
-
use_delta: false
|
| 467 |
-
window_start_idx: 0
|
| 468 |
-
name_mappings:
|
| 469 |
-
action:
|
| 470 |
-
- action
|
| 471 |
-
observation.state:
|
| 472 |
-
- proprio
|
| 473 |
-
statistic_keys:
|
| 474 |
-
- observation.state
|
| 475 |
-
- timestamp
|
| 476 |
-
- action
|
| 477 |
-
statistic_name: libero_object_no_noops
|
| 478 |
-
statistics_overrides:
|
| 479 |
-
libero_object_no_noops:
|
| 480 |
-
action:
|
| 481 |
-
max:
|
| 482 |
-
- 0.9375
|
| 483 |
-
- 0.9375
|
| 484 |
-
- 0.9375
|
| 485 |
-
- 1.0
|
| 486 |
-
- 0.368853
|
| 487 |
-
- 0.341214
|
| 488 |
-
- 0.356395
|
| 489 |
-
- 1.0
|
| 490 |
-
- 0.348251
|
| 491 |
-
- 1.0
|
| 492 |
-
mean:
|
| 493 |
-
- 0.050704
|
| 494 |
-
- 0.097407
|
| 495 |
-
- -0.094833
|
| 496 |
-
- 0.994873
|
| 497 |
-
- -0.004579
|
| 498 |
-
- -0.004288
|
| 499 |
-
- 0.004389
|
| 500 |
-
- 0.996104
|
| 501 |
-
- 0.001109
|
| 502 |
-
- 0.476725
|
| 503 |
-
min:
|
| 504 |
-
- -0.9375
|
| 505 |
-
- -0.9375
|
| 506 |
-
- -0.9375
|
| 507 |
-
- 0.902028
|
| 508 |
-
- -0.356085
|
| 509 |
-
- -0.367416
|
| 510 |
-
- -0.370434
|
| 511 |
-
- 0.921907
|
| 512 |
-
- -0.255
|
| 513 |
-
- 0.0
|
| 514 |
-
q01:
|
| 515 |
-
- -0.723214
|
| 516 |
-
- -0.808929
|
| 517 |
-
- -0.9375
|
| 518 |
-
- 0.934955
|
| 519 |
-
- -0.223431
|
| 520 |
-
- -0.189878
|
| 521 |
-
- -0.334735
|
| 522 |
-
- 0.938516
|
| 523 |
-
- -0.107736
|
| 524 |
-
- 0.0
|
| 525 |
-
q99:
|
| 526 |
-
- 0.9375
|
| 527 |
-
- 0.870536
|
| 528 |
-
- 0.9375
|
| 529 |
-
- 1.0
|
| 530 |
-
- 0.331
|
| 531 |
-
- 0.163153
|
| 532 |
-
- 0.226216
|
| 533 |
-
- 1.0
|
| 534 |
-
- 0.127158
|
| 535 |
-
- 1.0
|
| 536 |
-
std:
|
| 537 |
-
- 0.333621
|
| 538 |
-
- 0.387175
|
| 539 |
-
- 0.45714
|
| 540 |
-
- 0.010807
|
| 541 |
-
- 0.077802
|
| 542 |
-
- 0.063386
|
| 543 |
-
- 0.078571
|
| 544 |
-
- 0.009994
|
| 545 |
-
- 0.038504
|
| 546 |
-
- 0.49946
|
| 547 |
-
type: DistributedRepeatingDataset
|
| 548 |
-
per_device_batch_size: 16
|
| 549 |
-
per_device_num_workers: 4
|
|
|
|
|
|
|
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cosmos3edge_libero_object_full_finetune_bs16/cosmos3edge_libero_object_full_finetune_2026_08_04_01_21_44.jsonl
DELETED
|
The diff for this file is too large to render.
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|
cosmos3edge_libero_object_full_finetune_bs16/dataset_statistics.json
DELETED
|
@@ -1,138 +0,0 @@
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|
cosmos3edge_libero_object_full_finetune_bs16/run-metrics.jsonl
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
-
{"hparams": "{'eval': {'dataset': {'extra_tensor_keys': ['conditioning_fps', 'prepend_state_to_action'], 'img_buffer_len': 1, 'transforms': [{'embodiment_id': 5, 'img_keys': ['agentview_image', 'robot0_eye_in_hand_image'], 'type': 'ProcessLiberoEvalInputs'}, {'conditioning_fps': 20.0, 'prepend_state_to_action': False, 'type': 'SetCosmos3ActionMetadata'}, {'image_resize_strategy': 'resize-naive', 'input_sizes': [[3, 256, 256], [3, 256, 256]], 'means': [[127.5, 127.5, 127.5], [127.5, 127.5, 127.5]], 'stds': [[127.5, 127.5, 127.5], [127.5, 127.5, 127.5]], 'type': 'TransformImage'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.0, 'max_len': 512, 'output_attention_mask_key': 'lang_masks', 'output_key': 'lang_tokens', 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 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{'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'FSDPTrainRunner', 'cfg': Config (path: configs/cosmos3/cosmos3edge_libero_object_full_finetune.py): {...}, 'args': Namespace(config='configs/cosmos3/cosmos3edge_libero_object_full_finetune.py', work_dir='/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_object_edge_pr51_latest_bs16', cfg_options={'train_dataloader.per_device_batch_size': 16, 'runner.grad_accumulation_steps': 16, 'runner.metric.grad_accumulation_steps': 16}, eval_after_train=True, resume_from=None)}, 'seed': 7, 'train_dataloader': {'dataset': {'datasets': {'action_key': 'action', 'action_window_size': 16, 'data_root_path': '/mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_object_no_noops_lerobot', 'frame_window_size': 17, 'require_full_window': True, 'statistic_name': 'libero_object_no_noops', 'transforms': [{'embodiment_id': 5, 'name_mappings': {'actions': ['actions'], 'observation.state': ['states']}, 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats'], 'type': 'ProcessParquetInputs', 'video_keys': ['observation.images.image', 'observation.images.wrist_image']}, {'type': 'LiberoFramewiseActionToRot6D'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.1, 'max_len': 512, 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'ProcessCosmos3Prompt'}, {'height': 256, 'type': 'ResizeImages', 'width': 256}, {'type': 'SimpleNormalizeImages'}, {'action_dim': 64, 'action_key': 'action', 'action_norm_type': 'quantile', 'state_norm_type': 'none', 'state_dim': 64, 'state_key': 'proprio', 'type': 'NormalizeStatesAndActions'}, {'conditioning_fps': 20.0, 'frame_window_size': 17, 'mode': 'wam', 'prepend_state_to_action': False, 'raw_action_dim': 10, 'type': 'BuildCosmos3Sequence'}, {'frame_window_size': 17, 'num_views': 2, 'tile_direction': 'horizontal', 'type': 'PrepareVideo'}], 'type': 'ParquetDataset', 'use_delta': False, 'window_start_idx': 0}, 'name_mappings': {'action': ['action'], 'observation.state': ['proprio']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_object_no_noops', 'statistics_overrides': {'libero_object_no_noops': {'action': {'mean': [0.050704, 0.097407, -0.094833, 0.994873, -0.004579, -0.004288, 0.004389, 0.996104, 0.001109, 0.476725], 'std': [0.333621, 0.387175, 0.45714, 0.010807, 0.077802, 0.063386, 0.078571, 0.009994, 0.038504, 0.49946], 'min': [-0.9375, -0.9375, -0.9375, 0.902028, -0.356085, -0.367416, -0.370434, 0.921907, -0.255, 0.0], 'max': [0.9375, 0.9375, 0.9375, 1.0, 0.368853, 0.341214, 0.356395, 1.0, 0.348251, 1.0], 'q01': [-0.723214, -0.808929, -0.9375, 0.934955, -0.223431, -0.189878, -0.334735, 0.938516, -0.107736, 0.0], 'q99': [0.9375, 0.870536, 0.9375, 1.0, 0.331, 0.163153, 0.226216, 1.0, 0.127158, 1.0]}}}, 'type': 'DistributedRepeatingDataset'}, 'per_device_batch_size': 16, 'per_device_num_workers': 4}}, 'args': Namespace(config='configs/cosmos3/cosmos3edge_libero_object_full_finetune.py', work_dir='/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_object_edge_pr51_latest_bs16', cfg_options={'train_dataloader.per_device_batch_size': 16, 'runner.grad_accumulation_steps': 16, 'runner.metric.grad_accumulation_steps': 16}, eval_after_train=True, resume_from=None)}, 'seed': 7, 'train_dataloader': {'dataset': {'datasets': {'action_key': 'action', 'action_window_size': 16, 'data_root_path': '/mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_object_no_noops_lerobot', 'frame_window_size': 17, 'require_full_window': True, 'statistic_name': 'libero_object_no_noops', 'transforms': [{'embodiment_id': 5, 'name_mappings': {'actions': ['actions'], 'observation.state': ['states']}, 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats'], 'type': 'ProcessParquetInputs', 'video_keys': ['observation.images.image', 'observation.images.wrist_image']}, {'type': 'LiberoFramewiseActionToRot6D'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.1, 'max_len': 512, 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'ProcessCosmos3Prompt'}, {'height': 256, 'type': 'ResizeImages', 'width': 256}, {'type': 'SimpleNormalizeImages'}, {'action_dim': 64, 'action_key': 'action', 'action_norm_type': 'quantile', 'state_norm_type': 'none', 'state_dim': 64, 'state_key': 'proprio', 'type': 'NormalizeStatesAndActions'}, {'conditioning_fps': 20.0, 'frame_window_size': 17, 'mode': 'wam', 'prepend_state_to_action': False, 'raw_action_dim': 10, 'type': 'BuildCosmos3Sequence'}, {'frame_window_size': 17, 'num_views': 2, 'tile_direction': 'horizontal', 'type': 'PrepareVideo'}], 'type': 'ParquetDataset', 'use_delta': False, 'window_start_idx': 0}, 'name_mappings': {'action': ['action'], 'observation.state': ['proprio']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_object_no_noops', 'statistics_overrides': {'libero_object_no_noops': {'action': {'mean': [0.050704, 0.097407, -0.094833, 0.994873, -0.004579, -0.004288, 0.004389, 0.996104, 0.001109, 0.476725], 'std': [0.333621, 0.387175, 0.45714, 0.010807, 0.077802, 0.063386, 0.078571, 0.009994, 0.038504, 0.49946], 'min': [-0.9375, -0.9375, -0.9375, 0.902028, -0.356085, -0.367416, -0.370434, 0.921907, -0.255, 0.0], 'max': [0.9375, 0.9375, 0.9375, 1.0, 0.368853, 0.341214, 0.356395, 1.0, 0.348251, 1.0], 'q01': [-0.723214, -0.808929, -0.9375, 0.934955, -0.223431, -0.189878, -0.334735, 0.938516, -0.107736, 0.0], 'q99': [0.9375, 0.870536, 0.9375, 1.0, 0.331, 0.163153, 0.226216, 1.0, 0.127158, 1.0]}}}, 'type': 'DistributedRepeatingDataset'}, 'per_device_batch_size': 16, 'per_device_num_workers': 4}}", "run_id": "cosmos3edge_libero_object_full_finetune_2026_08_04_01_21_44"}
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cosmos3edge_libero_object_full_finetune_bs16/tokenizer/chat_template.jinja
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@@ -1,324 +0,0 @@
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-
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{% macro render_extra_keys(json_dict, handled_keys) %}
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{%- if json_dict is mapping %}
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-
{%- for json_key in json_dict if json_key not in handled_keys %}
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{%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
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{{- '
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<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
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{%- else %}
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| 9 |
-
{{-'
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<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{% endmacro %}
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{%- set enable_thinking = enable_thinking if enable_thinking is defined else True %}
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{%- set truncate_history_thinking = truncate_history_thinking if truncate_history_thinking is defined else True %}
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-
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{%- set ns = namespace(last_user_idx = -1) %}
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{%- set loop_messages = messages %}
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{%- for m in loop_messages %}
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{%- if m["role"] == "user" %}
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{%- set ns.last_user_idx = loop.index0 %}
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{%- endif %}
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{%- endfor %}
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{%- if messages[0]["role"] == "system" %}
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{%- if messages[0]["content"] is string %}
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{%- set system_message = messages[0]["content"] %}
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{%- else %}
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{%- set ns = namespace(system_text="") %}
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{%- for part in messages[0]["content"] %}
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{%- if 'text' in part %}
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{%- set ns.system_text = ns.system_text + part.text %}
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{%- endif %}
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{%- endfor %}
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{%- set system_message = ns.system_text %}
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{%- endif %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- set loop_messages = messages %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = [] %}
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{%- endif %}
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{# Recompute last_user_idx relative to loop_messages after handling system #}
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{%- set ns = namespace(last_user_idx = -1) %}
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{%- for m in loop_messages %}
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{%- if m["role"] == "user" %}
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{%- set ns.last_user_idx = loop.index0 %}
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{%- endif %}
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{%- endfor %}
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{%- if system_message is defined %}
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{{- "<|im_start|>system
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" + system_message }}
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{%- else %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "<|im_start|>system
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" }}
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{%- endif %}
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{%- endif %}
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{%- if tools is iterable and tools | length > 0 %}
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{%- if system_message is defined and system_message | length > 0 %}
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{{- "
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-
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" }}
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{%- endif %}
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{{- "# Tools
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-
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You have access to the following functions:
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" }}
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{{- "<tools>" }}
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{%- for tool in tools %}
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{%- if tool.function is defined %}
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{%- set tool = tool.function %}
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| 78 |
-
{%- endif %}
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| 79 |
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{{- "
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| 80 |
-
<function>
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| 81 |
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<name>" ~ tool.name ~ "</name>" }}
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| 82 |
-
{%- if tool.description is defined %}
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| 83 |
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{{- '
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| 84 |
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<description>' ~ (tool.description | trim) ~ '</description>' }}
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| 85 |
-
{%- endif %}
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| 86 |
-
{{- '
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| 87 |
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<parameters>' }}
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| 88 |
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{%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
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| 89 |
-
{%- for param_name, param_fields in tool.parameters.properties|items %}
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| 90 |
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{{- '
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-
<parameter>' }}
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| 92 |
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{{- '
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<name>' ~ param_name ~ '</name>' }}
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| 94 |
-
{%- if param_fields.type is defined %}
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| 95 |
-
{{- '
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| 96 |
-
<type>' ~ (param_fields.type | string) ~ '</type>' }}
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| 97 |
-
{%- endif %}
|
| 98 |
-
{%- if param_fields.description is defined %}
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| 99 |
-
{{- '
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| 100 |
-
<description>' ~ (param_fields.description | trim) ~ '</description>' }}
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| 101 |
-
{%- endif %}
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| 102 |
-
{%- if param_fields.enum is defined %}
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| 103 |
-
{{- '
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| 104 |
-
<enum>' ~ (param_fields.enum | tojson | safe) ~ '</enum>' }}
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| 105 |
-
{%- endif %}
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| 106 |
-
{%- set handled_keys = ['name', 'type', 'description', 'enum'] %}
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| 107 |
-
{{- render_extra_keys(param_fields, handled_keys) }}
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| 108 |
-
{{- '
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</parameter>' }}
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| 110 |
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{%- endfor %}
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| 111 |
-
{%- endif %}
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| 112 |
-
{% set handled_keys = ['type', 'properties', 'required'] %}
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| 113 |
-
{{- render_extra_keys(tool.parameters, handled_keys) }}
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| 114 |
-
{%- if tool.parameters is defined and tool.parameters.required is defined %}
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| 115 |
-
{{- '
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| 116 |
-
<required>' ~ (tool.parameters.required | tojson | safe) ~ '</required>' }}
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| 117 |
-
{%- endif %}
|
| 118 |
-
{{- '
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| 119 |
-
</parameters>' }}
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| 120 |
-
{%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
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| 121 |
-
{{- render_extra_keys(tool, handled_keys) }}
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| 122 |
-
{{- '
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| 123 |
-
</function>' }}
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| 124 |
-
{%- endfor %}
|
| 125 |
-
{{- "
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| 126 |
-
</tools>" }}
|
| 127 |
-
|
| 128 |
-
{{- '
|
| 129 |
-
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| 130 |
-
If you choose to call a function ONLY reply in the following format with NO suffix:
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| 131 |
-
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| 132 |
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<tool_call>
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| 133 |
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<function=example_function_name>
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| 134 |
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<parameter=example_parameter_1>
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| 135 |
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value_1
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| 136 |
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</parameter>
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| 137 |
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<parameter=example_parameter_2>
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| 138 |
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This is the value for the second parameter
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| 139 |
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that can span
|
| 140 |
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multiple lines
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| 141 |
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</parameter>
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| 142 |
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</function>
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| 143 |
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</tool_call>
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| 144 |
-
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| 145 |
-
<IMPORTANT>
|
| 146 |
-
Reminder:
|
| 147 |
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- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags
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| 148 |
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- Required parameters MUST be specified
|
| 149 |
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- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after
|
| 150 |
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- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls
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| 151 |
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</IMPORTANT>' }}
|
| 152 |
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{%- endif %}
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| 153 |
-
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| 154 |
-
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| 155 |
-
{%- if system_message is defined %}
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| 156 |
-
{{- '<|im_end|>
|
| 157 |
-
' }}
|
| 158 |
-
{%- else %}
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| 159 |
-
{%- if tools is iterable and tools | length > 0 %}
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| 160 |
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{{- '<|im_end|>
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| 161 |
-
' }}
|
| 162 |
-
{%- endif %}
|
| 163 |
-
{%- endif %}
|
| 164 |
-
|
| 165 |
-
{%- set image_count = namespace(value=0) %}
|
| 166 |
-
{%- set video_count = namespace(value=0) %}
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| 167 |
-
{%- for message in loop_messages %}
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| 168 |
-
{%- if message.role == "assistant" %}
|
| 169 |
-
{# Add reasoning content in to content field for unified processing below. #}
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| 170 |
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{%- set text_content = namespace(text_content="") -%}
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| 171 |
-
{%- if message.content is string %}
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| 172 |
-
{%- set text_content.text_content = message.content %}
|
| 173 |
-
{%- else %}
|
| 174 |
-
{%- for content in message.content %}
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| 175 |
-
{%- if 'text' in content %}
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| 176 |
-
{%- set text_content.text_content = content.text %}
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| 177 |
-
{%- break %}
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| 178 |
-
{%- endif %}
|
| 179 |
-
{%- endfor %}
|
| 180 |
-
{%- endif %}
|
| 181 |
-
{%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
|
| 182 |
-
{%- set content = "<think>
|
| 183 |
-
" ~ message.reasoning_content ~ "
|
| 184 |
-
</think>
|
| 185 |
-
" ~ (text_content.text_content | default('', true)) %}
|
| 186 |
-
{%- else %}
|
| 187 |
-
{%- set content = text_content.text_content | default('', true) %}
|
| 188 |
-
{# Allow downstream logic to to take care of broken thought, only handle coherent reasoning here. #}
|
| 189 |
-
{%- if '<think>' not in content and '</think>' not in content %}
|
| 190 |
-
{%- set content = "<think></think>" ~ content %}
|
| 191 |
-
{%- else %}
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| 192 |
-
{%- set content = content %}
|
| 193 |
-
{%- endif -%}
|
| 194 |
-
{%- endif %}
|
| 195 |
-
{%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
|
| 196 |
-
{# Assistant message has tool calls. #}
|
| 197 |
-
{{- '<|im_start|>assistant
|
| 198 |
-
' }}
|
| 199 |
-
{%- set include_content = not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 200 |
-
{%- if content is string and content | trim | length > 0 %}
|
| 201 |
-
{%- if include_content %}
|
| 202 |
-
{{- (content | trim) ~ '
|
| 203 |
-
' -}}
|
| 204 |
-
{%- else %}
|
| 205 |
-
{%- set c = (content | string) %}
|
| 206 |
-
{%- if '</think>' in c %}
|
| 207 |
-
{# Keep only content after the last closing think. Also generation prompt causes this. #}
|
| 208 |
-
{%- set c = c.split('</think>')[-1] %}
|
| 209 |
-
{%- elif '<think>' in c %}
|
| 210 |
-
{# If <think> was opened but never closed, drop the trailing think segment #}
|
| 211 |
-
{%- set c = c.split('<think>')[0] %}
|
| 212 |
-
{%- endif %}
|
| 213 |
-
{%- set c = "<think></think>" ~ c | trim %}
|
| 214 |
-
{%- if c | length > 0 %}
|
| 215 |
-
{{- c ~ '
|
| 216 |
-
' -}}
|
| 217 |
-
{%- endif %}
|
| 218 |
-
{%- endif %}
|
| 219 |
-
{%- else %}
|
| 220 |
-
{{- "<think></think>" -}}
|
| 221 |
-
{%- endif %}
|
| 222 |
-
{%- for tool_call in message.tool_calls %}
|
| 223 |
-
{%- if tool_call.function is defined %}
|
| 224 |
-
{%- set tool_call = tool_call.function %}
|
| 225 |
-
{%- endif %}
|
| 226 |
-
{{- '<tool_call>
|
| 227 |
-
<function=' ~ tool_call.name ~ '>
|
| 228 |
-
' -}}
|
| 229 |
-
{%- if tool_call.arguments is defined %}
|
| 230 |
-
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 231 |
-
{{- '<parameter=' ~ args_name ~ '>
|
| 232 |
-
' -}}
|
| 233 |
-
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 234 |
-
{{- args_value ~ '
|
| 235 |
-
</parameter>
|
| 236 |
-
' -}}
|
| 237 |
-
{%- endfor %}
|
| 238 |
-
{%- endif %}
|
| 239 |
-
{{- '</function>
|
| 240 |
-
</tool_call>
|
| 241 |
-
' -}}
|
| 242 |
-
{%- endfor %}
|
| 243 |
-
{{- '<|im_end|>
|
| 244 |
-
' }}
|
| 245 |
-
{%- else %}
|
| 246 |
-
{# Assistant message doesn't have tool calls. #}
|
| 247 |
-
{%- if not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 248 |
-
{{- '<|im_start|>assistant
|
| 249 |
-
' ~ (content | default('', true) | string | trim) ~ '<|im_end|>
|
| 250 |
-
' }}
|
| 251 |
-
{%- else %}
|
| 252 |
-
{%- set c = (content | default('', true) | string) %}
|
| 253 |
-
{%- if '<think>' in c and '</think>' in c %}
|
| 254 |
-
{%- set c = "<think></think>" ~ c.split('</think>')[-1] %}
|
| 255 |
-
{%- endif %}
|
| 256 |
-
{%- set c = c | trim %}
|
| 257 |
-
{%- if c | length > 0 %}
|
| 258 |
-
{{- '<|im_start|>assistant
|
| 259 |
-
' ~ c ~ '<|im_end|>
|
| 260 |
-
' }}
|
| 261 |
-
{%- else %}
|
| 262 |
-
{{- '<|im_start|>assistant
|
| 263 |
-
<|im_end|>
|
| 264 |
-
' }}
|
| 265 |
-
{%- endif %}
|
| 266 |
-
{%- endif %}
|
| 267 |
-
{%- endif %}
|
| 268 |
-
{%- elif message.role == "user" or message.role == "system" %}
|
| 269 |
-
{{- '<|im_start|>' + message.role + '
|
| 270 |
-
' }}
|
| 271 |
-
{%- if message.content is string %}
|
| 272 |
-
{{- message.content }}
|
| 273 |
-
{%- else %}
|
| 274 |
-
{%- for content in message.content %}
|
| 275 |
-
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 276 |
-
{%- set image_count.value = image_count.value + 1 %}
|
| 277 |
-
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 278 |
-
<|vision_start|><|image_pad|><|vision_end|>
|
| 279 |
-
{%- elif content.type == 'video' or 'video' in content %}
|
| 280 |
-
{%- set video_count.value = video_count.value + 1 %}
|
| 281 |
-
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 282 |
-
<|vision_start|><|video_pad|><|vision_end|>
|
| 283 |
-
{%- elif 'text' in content %}
|
| 284 |
-
{{- content.text }}
|
| 285 |
-
{%- endif %}
|
| 286 |
-
{%- endfor %}
|
| 287 |
-
{%- endif %}
|
| 288 |
-
{{- '<|im_end|>
|
| 289 |
-
' }}
|
| 290 |
-
{%- elif message.role == "tool" %}
|
| 291 |
-
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 292 |
-
{{- '<|im_start|>user
|
| 293 |
-
' }}
|
| 294 |
-
{%- endif %}
|
| 295 |
-
{{- '<tool_response>
|
| 296 |
-
' }}
|
| 297 |
-
{{- message.content }}
|
| 298 |
-
{{- '
|
| 299 |
-
</tool_response>
|
| 300 |
-
' }}
|
| 301 |
-
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 302 |
-
{{- '<|im_end|>
|
| 303 |
-
' }}
|
| 304 |
-
{%- elif loop.last %}
|
| 305 |
-
{{- '<|im_end|>
|
| 306 |
-
' }}
|
| 307 |
-
{%- endif %}
|
| 308 |
-
{%- else %}
|
| 309 |
-
{{- '<|im_start|>' + message.role + '
|
| 310 |
-
' + message.content + '<|im_end|>
|
| 311 |
-
' }}
|
| 312 |
-
{%- endif %}
|
| 313 |
-
{%- endfor %}
|
| 314 |
-
|
| 315 |
-
{%- if add_generation_prompt %}
|
| 316 |
-
{%- if enable_thinking %}
|
| 317 |
-
{{- '<|im_start|>assistant
|
| 318 |
-
<think>
|
| 319 |
-
' }}
|
| 320 |
-
{%- else %}
|
| 321 |
-
{{- '<|im_start|>assistant
|
| 322 |
-
<think></think>' }}
|
| 323 |
-
{%- endif %}
|
| 324 |
-
{%- endif %}
|
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|
cosmos3edge_libero_object_full_finetune_bs16/tokenizer/special_tokens_map.json
DELETED
|
@@ -1,30 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token": {
|
| 3 |
-
"content": "<s>",
|
| 4 |
-
"lstrip": false,
|
| 5 |
-
"normalized": false,
|
| 6 |
-
"rstrip": false,
|
| 7 |
-
"single_word": false
|
| 8 |
-
},
|
| 9 |
-
"eos_token": {
|
| 10 |
-
"content": "<|im_end|>",
|
| 11 |
-
"lstrip": false,
|
| 12 |
-
"normalized": false,
|
| 13 |
-
"rstrip": false,
|
| 14 |
-
"single_word": false
|
| 15 |
-
},
|
| 16 |
-
"pad_token": {
|
| 17 |
-
"content": "<|im_end|>",
|
| 18 |
-
"lstrip": false,
|
| 19 |
-
"normalized": false,
|
| 20 |
-
"rstrip": false,
|
| 21 |
-
"single_word": false
|
| 22 |
-
},
|
| 23 |
-
"unk_token": {
|
| 24 |
-
"content": "<unk>",
|
| 25 |
-
"lstrip": false,
|
| 26 |
-
"normalized": false,
|
| 27 |
-
"rstrip": false,
|
| 28 |
-
"single_word": false
|
| 29 |
-
}
|
| 30 |
-
}
|
|
|
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|
cosmos3edge_libero_object_full_finetune_bs16/tokenizer/tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:4dc692a99dca6d92a44e9529ffb53541eb79bb260eec7281bc51268c05d7311c
|
| 3 |
-
size 17077500
|
|
|
|
|
|
|
|
|
|
|
|
cosmos3edge_libero_object_full_finetune_bs16/tokenizer/tokenizer_config.json
DELETED
|
@@ -1,17 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_prefix_space": false,
|
| 3 |
-
"backend": "tokenizers",
|
| 4 |
-
"bos_token": "<s>",
|
| 5 |
-
"clean_up_tokenization_spaces": false,
|
| 6 |
-
"eos_token": "<|im_end|>",
|
| 7 |
-
"is_local": true,
|
| 8 |
-
"local_files_only": false,
|
| 9 |
-
"model_input_names": [
|
| 10 |
-
"input_ids",
|
| 11 |
-
"attention_mask"
|
| 12 |
-
],
|
| 13 |
-
"model_max_length": 262144,
|
| 14 |
-
"pad_token": "<|im_end|>",
|
| 15 |
-
"tokenizer_class": "TokenizersBackend",
|
| 16 |
-
"unk_token": "<unk>"
|
| 17 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
cosmos3edge_libero_object_full_finetune_bs16/vlm_backbone_config.json
DELETED
|
@@ -1,41 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"attention_bias": false,
|
| 3 |
-
"attention_dropout": 0.0,
|
| 4 |
-
"bos_token_id": 1,
|
| 5 |
-
"enable_mrope": true,
|
| 6 |
-
"enable_rope": true,
|
| 7 |
-
"eos_token_id": 11,
|
| 8 |
-
"head_dim": 128,
|
| 9 |
-
"hidden_dropout": 0.0,
|
| 10 |
-
"hidden_size": 2048,
|
| 11 |
-
"initializer_range": 0.02,
|
| 12 |
-
"intermediate_size": 9216,
|
| 13 |
-
"layer_norm_epsilon": 1e-05,
|
| 14 |
-
"max_position_embeddings": 131072,
|
| 15 |
-
"mlp_bias": false,
|
| 16 |
-
"mlp_hidden_act": "relu2",
|
| 17 |
-
"model_type": "nemotron_3_dense_vl_text",
|
| 18 |
-
"mrope_section": [
|
| 19 |
-
24,
|
| 20 |
-
20,
|
| 21 |
-
20
|
| 22 |
-
],
|
| 23 |
-
"num_attention_heads": 16,
|
| 24 |
-
"num_hidden_layers": 28,
|
| 25 |
-
"num_key_value_heads": 8,
|
| 26 |
-
"num_logits_to_keep": 1,
|
| 27 |
-
"packed_attention_backend": "flash2",
|
| 28 |
-
"pad_token_id": 11,
|
| 29 |
-
"residual_in_fp32": false,
|
| 30 |
-
"rope_parameters": {
|
| 31 |
-
"rope_theta": 100000000.0,
|
| 32 |
-
"rope_type": "default"
|
| 33 |
-
},
|
| 34 |
-
"rope_theta": 100000000.0,
|
| 35 |
-
"sliding_window": null,
|
| 36 |
-
"tie_word_embeddings": false,
|
| 37 |
-
"transformers_version": "5.3.0",
|
| 38 |
-
"use_cache": true,
|
| 39 |
-
"use_und_k_norm_for_gen": true,
|
| 40 |
-
"vocab_size": 131072
|
| 41 |
-
}
|
|
|
|
|
|
|
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|
|
cosmos3edge_libero_spatial_full_finetune_bs16/checkpoints/step-002000-epoch-76-loss=0.7025.safetensors
DELETED
|
@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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cosmos3edge_libero_spatial_full_finetune_bs16/config.json
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{
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"eval": {
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{
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"padding_side": "right",
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"type": "ProcessCosmos3Prompt"
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{
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{
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"type": "LiberoEvalRunner"
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"inference_model": {
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| 361 |
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| 364 |
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| 365 |
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| 367 |
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| 368 |
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| 370 |
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| 371 |
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| 372 |
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|
|
cosmos3edge_libero_spatial_full_finetune_bs16/config.yaml
DELETED
|
@@ -1,549 +0,0 @@
|
|
| 1 |
-
eval:
|
| 2 |
-
dataset:
|
| 3 |
-
extra_tensor_keys:
|
| 4 |
-
- conditioning_fps
|
| 5 |
-
- prepend_state_to_action
|
| 6 |
-
img_buffer_len: 1
|
| 7 |
-
transforms:
|
| 8 |
-
- embodiment_id: 5
|
| 9 |
-
img_keys:
|
| 10 |
-
- agentview_image
|
| 11 |
-
- robot0_eye_in_hand_image
|
| 12 |
-
type: ProcessLiberoEvalInputs
|
| 13 |
-
- conditioning_fps: 20.0
|
| 14 |
-
prepend_state_to_action: false
|
| 15 |
-
type: SetCosmos3ActionMetadata
|
| 16 |
-
- image_resize_strategy: resize-naive
|
| 17 |
-
input_sizes:
|
| 18 |
-
- - 3
|
| 19 |
-
- 256
|
| 20 |
-
- 256
|
| 21 |
-
- - 3
|
| 22 |
-
- 256
|
| 23 |
-
- 256
|
| 24 |
-
means:
|
| 25 |
-
- - 127.5
|
| 26 |
-
- 127.5
|
| 27 |
-
- 127.5
|
| 28 |
-
- - 127.5
|
| 29 |
-
- 127.5
|
| 30 |
-
- 127.5
|
| 31 |
-
stds:
|
| 32 |
-
- - 127.5
|
| 33 |
-
- 127.5
|
| 34 |
-
- 127.5
|
| 35 |
-
- - 127.5
|
| 36 |
-
- 127.5
|
| 37 |
-
- 127.5
|
| 38 |
-
type: TransformImage
|
| 39 |
-
- action_metadata:
|
| 40 |
-
append_viewpoint: false
|
| 41 |
-
conditioning_fps: 20.0
|
| 42 |
-
frame_window_size: 17
|
| 43 |
-
video_height: 256
|
| 44 |
-
video_width: 512
|
| 45 |
-
cfg_dropout_rate: 0.0
|
| 46 |
-
max_len: 512
|
| 47 |
-
output_attention_mask_key: lang_masks
|
| 48 |
-
output_key: lang_tokens
|
| 49 |
-
tokenizer:
|
| 50 |
-
model_max_length: 4096
|
| 51 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 52 |
-
padding_side: right
|
| 53 |
-
trust_remote_code: true
|
| 54 |
-
type: PretrainedTokenizer
|
| 55 |
-
type: ProcessCosmos3Prompt
|
| 56 |
-
- gripper_key: robot0_gripper_qpos
|
| 57 |
-
norm_type: mean_std
|
| 58 |
-
out_key: states
|
| 59 |
-
pos_key: robot0_eef_pos
|
| 60 |
-
quat_key: robot0_eef_quat
|
| 61 |
-
state_dim: 64
|
| 62 |
-
type: LiberoProprioFromInputs
|
| 63 |
-
- frame_window_size: 1
|
| 64 |
-
num_views: 2
|
| 65 |
-
tile_direction: horizontal
|
| 66 |
-
type: PrepareVideo
|
| 67 |
-
type: LiberoParquetEvalDataset
|
| 68 |
-
denormalize_action:
|
| 69 |
-
action_dim: 10
|
| 70 |
-
norm_type: quantile_rot
|
| 71 |
-
type: DenormalizeLiberoFramewiseRot6DAction
|
| 72 |
-
enable_mixed_precision_training: true
|
| 73 |
-
eval_chunk_size: 16
|
| 74 |
-
inference_seed: 7
|
| 75 |
-
mixed_precision_dtype: bf16
|
| 76 |
-
model_family: cosmos3
|
| 77 |
-
norm_stats_key: libero_spatial_no_noops
|
| 78 |
-
num_inference_steps: 30
|
| 79 |
-
num_steps_wait: 10
|
| 80 |
-
num_trials_per_task: 50
|
| 81 |
-
resize_size: 256
|
| 82 |
-
seed: 7
|
| 83 |
-
task_ids: null
|
| 84 |
-
task_suite_name: libero_spatial
|
| 85 |
-
type: LiberoEvalRunner
|
| 86 |
-
inference_model:
|
| 87 |
-
action_horizon: 16
|
| 88 |
-
action_in_proj:
|
| 89 |
-
input_size: 64
|
| 90 |
-
num_domains: 32
|
| 91 |
-
output_size: 2048
|
| 92 |
-
type: DomainAwareLinear
|
| 93 |
-
action_out_proj:
|
| 94 |
-
input_size: 2048
|
| 95 |
-
num_domains: 32
|
| 96 |
-
output_size: 64
|
| 97 |
-
type: DomainAwareLinear
|
| 98 |
-
base_fps: 24.0
|
| 99 |
-
enable_fps_modulation: true
|
| 100 |
-
enable_vision_loss: true
|
| 101 |
-
freeze_non_moe_vlm_backbone: true
|
| 102 |
-
freeze_vlm_backbone: false
|
| 103 |
-
latent_patch_size: 2
|
| 104 |
-
max_action_dim: 64
|
| 105 |
-
name_mapping:
|
| 106 |
-
.self_attn.k_norm_moe_gen.: .self_attn.norm_added_k.
|
| 107 |
-
.self_attn.k_proj.: .self_attn.to_k.
|
| 108 |
-
.self_attn.k_proj_moe_gen.: .self_attn.add_k_proj.
|
| 109 |
-
.self_attn.o_proj.: .self_attn.to_out.
|
| 110 |
-
.self_attn.o_proj_moe_gen.: .self_attn.to_add_out.
|
| 111 |
-
.self_attn.q_norm_moe_gen.: .self_attn.norm_added_q.
|
| 112 |
-
.self_attn.q_proj.: .self_attn.to_q.
|
| 113 |
-
.self_attn.q_proj_moe_gen.: .self_attn.add_q_proj.
|
| 114 |
-
.self_attn.v_proj.: .self_attn.to_v.
|
| 115 |
-
.self_attn.v_proj_moe_gen.: .self_attn.add_v_proj.
|
| 116 |
-
action_in_proj.: action_proj_in.
|
| 117 |
-
action_modality_embed: action_modality_embed
|
| 118 |
-
action_out_proj.: action_proj_out.
|
| 119 |
-
time_embedder.mlp.0.: time_embedder.linear_1.
|
| 120 |
-
time_embedder.mlp.2.: time_embedder.linear_2.
|
| 121 |
-
vision_in_proj.projector.: proj_in.
|
| 122 |
-
vision_out_proj.projector.: proj_out.
|
| 123 |
-
vlm_backbone.lm_head.weight: lm_head.weight
|
| 124 |
-
vlm_backbone.model.language_model.embed_tokens.weight: embed_tokens.weight
|
| 125 |
-
vlm_backbone.model.language_model.layers.: layers.
|
| 126 |
-
vlm_backbone.model.language_model.norm.weight: norm.weight
|
| 127 |
-
vlm_backbone.model.language_model.norm_moe_gen.weight: norm_moe_gen.weight
|
| 128 |
-
num_embodiment_domains: 32
|
| 129 |
-
ori_action_dim: 10
|
| 130 |
-
packed_attention_backend: flash2
|
| 131 |
-
position_embedding_type: unified_3d_mrope
|
| 132 |
-
pretrained_name_or_path: ./checkpoints/Cosmos3-Edge/transformer
|
| 133 |
-
rectified_flow_inference_config:
|
| 134 |
-
num_steps: 30
|
| 135 |
-
num_train_timesteps: 1000
|
| 136 |
-
scheduler_type: unipc
|
| 137 |
-
shift: 10.0
|
| 138 |
-
use_dynamic_shifting: false
|
| 139 |
-
use_karras_sigmas: false
|
| 140 |
-
rectified_flow_training_config:
|
| 141 |
-
action_loss_weight: 10.0
|
| 142 |
-
independent_action_schedule: false
|
| 143 |
-
normalize_loss_by_active: false
|
| 144 |
-
shift:
|
| 145 |
-
'256': 3
|
| 146 |
-
'480': 5
|
| 147 |
-
'720': 10
|
| 148 |
-
shift_action: null
|
| 149 |
-
train_time_action_distribution: logitnormal
|
| 150 |
-
train_time_image_distribution: logitnormal
|
| 151 |
-
train_time_video_distribution: waver
|
| 152 |
-
train_time_weight: uniform
|
| 153 |
-
use_discrete_rf: false
|
| 154 |
-
use_dynamic_shift: false
|
| 155 |
-
use_high_sigma_strategy: false
|
| 156 |
-
use_high_sigma_strategy_action: false
|
| 157 |
-
vision_loss_weight: 10.0
|
| 158 |
-
reinitialize_action_policy: true
|
| 159 |
-
special_tokens:
|
| 160 |
-
end_of_generation: 21
|
| 161 |
-
eos_token_id: 11
|
| 162 |
-
start_of_generation: 20
|
| 163 |
-
strict_mapping: true
|
| 164 |
-
timestep_scale: 0.001
|
| 165 |
-
type: Cosmos3FlowMatching
|
| 166 |
-
unified_3d_mrope_reset_spatial_ids: true
|
| 167 |
-
unified_3d_mrope_temporal_modality_margin: 15000
|
| 168 |
-
vision_in_proj:
|
| 169 |
-
in_dim: 192
|
| 170 |
-
out_dim: 2048
|
| 171 |
-
type: LinearProjector
|
| 172 |
-
vision_latent_dim: 48
|
| 173 |
-
vision_out_proj:
|
| 174 |
-
in_dim: 2048
|
| 175 |
-
out_dim: 192
|
| 176 |
-
type: LinearProjector
|
| 177 |
-
vision_vae:
|
| 178 |
-
encode_exact_durations:
|
| 179 |
-
- 17
|
| 180 |
-
pretrained_name_or_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 181 |
-
type: Cosmos3Wan22VAE
|
| 182 |
-
vlm_backbone:
|
| 183 |
-
include_visual: false
|
| 184 |
-
skip_init_weights: true
|
| 185 |
-
type: Cosmos3MoTBackbone
|
| 186 |
-
vlm_config:
|
| 187 |
-
attention_bias: false
|
| 188 |
-
bos_token_id: 1
|
| 189 |
-
enable_mrope: true
|
| 190 |
-
eos_token_id: 11
|
| 191 |
-
head_dim: 128
|
| 192 |
-
hidden_size: 2048
|
| 193 |
-
intermediate_size: 9216
|
| 194 |
-
layer_norm_epsilon: 1.0e-05
|
| 195 |
-
max_position_embeddings: 131072
|
| 196 |
-
mlp_bias: false
|
| 197 |
-
mlp_hidden_act: relu2
|
| 198 |
-
model_type: nemotron_3_dense_vl_text
|
| 199 |
-
mrope_section:
|
| 200 |
-
- 24
|
| 201 |
-
- 20
|
| 202 |
-
- 20
|
| 203 |
-
num_attention_heads: 16
|
| 204 |
-
num_hidden_layers: 28
|
| 205 |
-
num_key_value_heads: 8
|
| 206 |
-
pad_token_id: 11
|
| 207 |
-
rope_theta: 100000000.0
|
| 208 |
-
tie_word_embeddings: false
|
| 209 |
-
use_und_k_norm_for_gen: true
|
| 210 |
-
vocab_size: 131072
|
| 211 |
-
model:
|
| 212 |
-
action_horizon: 16
|
| 213 |
-
action_in_proj:
|
| 214 |
-
input_size: 64
|
| 215 |
-
num_domains: 32
|
| 216 |
-
output_size: 2048
|
| 217 |
-
type: DomainAwareLinear
|
| 218 |
-
action_out_proj:
|
| 219 |
-
input_size: 2048
|
| 220 |
-
num_domains: 32
|
| 221 |
-
output_size: 64
|
| 222 |
-
type: DomainAwareLinear
|
| 223 |
-
base_fps: 24.0
|
| 224 |
-
enable_fps_modulation: true
|
| 225 |
-
enable_vision_loss: true
|
| 226 |
-
freeze_non_moe_vlm_backbone: true
|
| 227 |
-
freeze_vlm_backbone: false
|
| 228 |
-
latent_patch_size: 2
|
| 229 |
-
max_action_dim: 64
|
| 230 |
-
name_mapping:
|
| 231 |
-
.self_attn.k_norm_moe_gen.: .self_attn.norm_added_k.
|
| 232 |
-
.self_attn.k_proj.: .self_attn.to_k.
|
| 233 |
-
.self_attn.k_proj_moe_gen.: .self_attn.add_k_proj.
|
| 234 |
-
.self_attn.o_proj.: .self_attn.to_out.
|
| 235 |
-
.self_attn.o_proj_moe_gen.: .self_attn.to_add_out.
|
| 236 |
-
.self_attn.q_norm_moe_gen.: .self_attn.norm_added_q.
|
| 237 |
-
.self_attn.q_proj.: .self_attn.to_q.
|
| 238 |
-
.self_attn.q_proj_moe_gen.: .self_attn.add_q_proj.
|
| 239 |
-
.self_attn.v_proj.: .self_attn.to_v.
|
| 240 |
-
.self_attn.v_proj_moe_gen.: .self_attn.add_v_proj.
|
| 241 |
-
action_in_proj.: action_proj_in.
|
| 242 |
-
action_modality_embed: action_modality_embed
|
| 243 |
-
action_out_proj.: action_proj_out.
|
| 244 |
-
time_embedder.mlp.0.: time_embedder.linear_1.
|
| 245 |
-
time_embedder.mlp.2.: time_embedder.linear_2.
|
| 246 |
-
vision_in_proj.projector.: proj_in.
|
| 247 |
-
vision_out_proj.projector.: proj_out.
|
| 248 |
-
vlm_backbone.lm_head.weight: lm_head.weight
|
| 249 |
-
vlm_backbone.model.language_model.embed_tokens.weight: embed_tokens.weight
|
| 250 |
-
vlm_backbone.model.language_model.layers.: layers.
|
| 251 |
-
vlm_backbone.model.language_model.norm.weight: norm.weight
|
| 252 |
-
vlm_backbone.model.language_model.norm_moe_gen.weight: norm_moe_gen.weight
|
| 253 |
-
num_embodiment_domains: 32
|
| 254 |
-
ori_action_dim: 10
|
| 255 |
-
packed_attention_backend: flash2
|
| 256 |
-
position_embedding_type: unified_3d_mrope
|
| 257 |
-
pretrained_name_or_path: ./checkpoints/Cosmos3-Edge/transformer
|
| 258 |
-
rectified_flow_inference_config:
|
| 259 |
-
num_steps: 30
|
| 260 |
-
num_train_timesteps: 1000
|
| 261 |
-
scheduler_type: unipc
|
| 262 |
-
shift: 10.0
|
| 263 |
-
use_dynamic_shifting: false
|
| 264 |
-
use_karras_sigmas: false
|
| 265 |
-
rectified_flow_training_config:
|
| 266 |
-
action_loss_weight: 10.0
|
| 267 |
-
independent_action_schedule: false
|
| 268 |
-
normalize_loss_by_active: false
|
| 269 |
-
shift:
|
| 270 |
-
'256': 3
|
| 271 |
-
'480': 5
|
| 272 |
-
'720': 10
|
| 273 |
-
shift_action: null
|
| 274 |
-
train_time_action_distribution: logitnormal
|
| 275 |
-
train_time_image_distribution: logitnormal
|
| 276 |
-
train_time_video_distribution: waver
|
| 277 |
-
train_time_weight: uniform
|
| 278 |
-
use_discrete_rf: false
|
| 279 |
-
use_dynamic_shift: false
|
| 280 |
-
use_high_sigma_strategy: false
|
| 281 |
-
use_high_sigma_strategy_action: false
|
| 282 |
-
vision_loss_weight: 10.0
|
| 283 |
-
reinitialize_action_policy: true
|
| 284 |
-
special_tokens:
|
| 285 |
-
end_of_generation: 21
|
| 286 |
-
eos_token_id: 11
|
| 287 |
-
start_of_generation: 20
|
| 288 |
-
strict_mapping: true
|
| 289 |
-
timestep_scale: 0.001
|
| 290 |
-
type: Cosmos3FlowMatching
|
| 291 |
-
unified_3d_mrope_reset_spatial_ids: true
|
| 292 |
-
unified_3d_mrope_temporal_modality_margin: 15000
|
| 293 |
-
vision_in_proj:
|
| 294 |
-
in_dim: 192
|
| 295 |
-
out_dim: 2048
|
| 296 |
-
type: LinearProjector
|
| 297 |
-
vision_latent_dim: 48
|
| 298 |
-
vision_out_proj:
|
| 299 |
-
in_dim: 2048
|
| 300 |
-
out_dim: 192
|
| 301 |
-
type: LinearProjector
|
| 302 |
-
vision_vae:
|
| 303 |
-
encode_exact_durations:
|
| 304 |
-
- 17
|
| 305 |
-
pretrained_name_or_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 306 |
-
type: Cosmos3Wan22VAE
|
| 307 |
-
vlm_backbone:
|
| 308 |
-
include_visual: false
|
| 309 |
-
skip_init_weights: true
|
| 310 |
-
type: Cosmos3MoTBackbone
|
| 311 |
-
vlm_config:
|
| 312 |
-
attention_bias: false
|
| 313 |
-
bos_token_id: 1
|
| 314 |
-
enable_mrope: true
|
| 315 |
-
eos_token_id: 11
|
| 316 |
-
head_dim: 128
|
| 317 |
-
hidden_size: 2048
|
| 318 |
-
intermediate_size: 9216
|
| 319 |
-
layer_norm_epsilon: 1.0e-05
|
| 320 |
-
max_position_embeddings: 131072
|
| 321 |
-
mlp_bias: false
|
| 322 |
-
mlp_hidden_act: relu2
|
| 323 |
-
model_type: nemotron_3_dense_vl_text
|
| 324 |
-
mrope_section:
|
| 325 |
-
- 24
|
| 326 |
-
- 20
|
| 327 |
-
- 20
|
| 328 |
-
num_attention_heads: 16
|
| 329 |
-
num_hidden_layers: 28
|
| 330 |
-
num_key_value_heads: 8
|
| 331 |
-
pad_token_id: 11
|
| 332 |
-
rope_theta: 100000000.0
|
| 333 |
-
tie_word_embeddings: false
|
| 334 |
-
use_und_k_norm_for_gen: true
|
| 335 |
-
vocab_size: 131072
|
| 336 |
-
runner:
|
| 337 |
-
change_key_name: false
|
| 338 |
-
collator:
|
| 339 |
-
list_keys:
|
| 340 |
-
- sequence_plan
|
| 341 |
-
meta_keys:
|
| 342 |
-
- task_description
|
| 343 |
-
- stats
|
| 344 |
-
- info
|
| 345 |
-
- timestamp
|
| 346 |
-
pad_id: 11
|
| 347 |
-
sequence_keys:
|
| 348 |
-
- text_token_ids
|
| 349 |
-
tensor_keys:
|
| 350 |
-
- images
|
| 351 |
-
- actions
|
| 352 |
-
- embodiment_ids
|
| 353 |
-
- raw_action_dim
|
| 354 |
-
- conditioning_fps
|
| 355 |
-
- action_fps
|
| 356 |
-
type: Cosmos3Collator
|
| 357 |
-
enable_gradient_checkpointing: true
|
| 358 |
-
enable_mixed_precision_training: true
|
| 359 |
-
grad_accumulation_steps: 16
|
| 360 |
-
lr_scheduler:
|
| 361 |
-
cycle_length: 16000
|
| 362 |
-
type: linear-warmup+linear-decay
|
| 363 |
-
warmup_steps: 500
|
| 364 |
-
max_epochs: null
|
| 365 |
-
max_grad_norm: 1.0
|
| 366 |
-
max_keep_ckpts: 2
|
| 367 |
-
max_steps: 2000
|
| 368 |
-
metric:
|
| 369 |
-
active_trackers:
|
| 370 |
-
- jsonl
|
| 371 |
-
- wandb
|
| 372 |
-
grad_accumulation_steps: 16
|
| 373 |
-
run_dir: work_dirs
|
| 374 |
-
type: VLAMetric
|
| 375 |
-
window_size: 1
|
| 376 |
-
mixed_precision_dtype: bf16
|
| 377 |
-
optimizer:
|
| 378 |
-
betas:
|
| 379 |
-
- 0.9
|
| 380 |
-
- 0.99
|
| 381 |
-
eps: 1.0e-08
|
| 382 |
-
exclude_1d_from_weight_decay: false
|
| 383 |
-
fused: true
|
| 384 |
-
lr: 5.0e-05
|
| 385 |
-
paramwise_learning_rate:
|
| 386 |
-
action_in_proj.: 0.00025
|
| 387 |
-
action_modality_embed: 0.00025
|
| 388 |
-
action_out_proj.: 0.00025
|
| 389 |
-
type: AdamW
|
| 390 |
-
weight_decay: 0.05
|
| 391 |
-
sampler: null
|
| 392 |
-
save_iter_interval: 500
|
| 393 |
-
sharding_strategy: full-shard
|
| 394 |
-
tokenizer:
|
| 395 |
-
model_max_length: 4096
|
| 396 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 397 |
-
padding_side: right
|
| 398 |
-
trust_remote_code: true
|
| 399 |
-
type: PretrainedTokenizer
|
| 400 |
-
type: FSDPTrainRunner
|
| 401 |
-
seed: 7
|
| 402 |
-
train_dataloader:
|
| 403 |
-
dataset:
|
| 404 |
-
datasets:
|
| 405 |
-
action_key: action
|
| 406 |
-
action_window_size: 16
|
| 407 |
-
data_root_path: /mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_spatial_no_noops_lerobot
|
| 408 |
-
frame_window_size: 17
|
| 409 |
-
require_full_window: true
|
| 410 |
-
statistic_name: libero_spatial_no_noops
|
| 411 |
-
transforms:
|
| 412 |
-
- embodiment_id: 5
|
| 413 |
-
name_mappings:
|
| 414 |
-
actions:
|
| 415 |
-
- actions
|
| 416 |
-
observation.state:
|
| 417 |
-
- states
|
| 418 |
-
parquet_keys:
|
| 419 |
-
- observation.state
|
| 420 |
-
- timestamp
|
| 421 |
-
- actions
|
| 422 |
-
- info
|
| 423 |
-
- stats
|
| 424 |
-
type: ProcessParquetInputs
|
| 425 |
-
video_keys:
|
| 426 |
-
- observation.images.image
|
| 427 |
-
- observation.images.wrist_image
|
| 428 |
-
- type: LiberoFramewiseActionToRot6D
|
| 429 |
-
- action_metadata:
|
| 430 |
-
append_viewpoint: false
|
| 431 |
-
conditioning_fps: 20.0
|
| 432 |
-
frame_window_size: 17
|
| 433 |
-
video_height: 256
|
| 434 |
-
video_width: 512
|
| 435 |
-
cfg_dropout_rate: 0.1
|
| 436 |
-
max_len: 512
|
| 437 |
-
tokenizer:
|
| 438 |
-
model_max_length: 4096
|
| 439 |
-
model_path: ./checkpoints/Cosmos3-Edge
|
| 440 |
-
padding_side: right
|
| 441 |
-
trust_remote_code: true
|
| 442 |
-
type: PretrainedTokenizer
|
| 443 |
-
type: ProcessCosmos3Prompt
|
| 444 |
-
- height: 256
|
| 445 |
-
type: ResizeImages
|
| 446 |
-
width: 256
|
| 447 |
-
- type: SimpleNormalizeImages
|
| 448 |
-
- action_dim: 64
|
| 449 |
-
action_key: action
|
| 450 |
-
action_norm_type: quantile
|
| 451 |
-
state_dim: 64
|
| 452 |
-
state_key: proprio
|
| 453 |
-
state_norm_type: none
|
| 454 |
-
type: NormalizeStatesAndActions
|
| 455 |
-
- conditioning_fps: 20.0
|
| 456 |
-
frame_window_size: 17
|
| 457 |
-
mode: wam
|
| 458 |
-
prepend_state_to_action: false
|
| 459 |
-
raw_action_dim: 10
|
| 460 |
-
type: BuildCosmos3Sequence
|
| 461 |
-
- frame_window_size: 17
|
| 462 |
-
num_views: 2
|
| 463 |
-
tile_direction: horizontal
|
| 464 |
-
type: PrepareVideo
|
| 465 |
-
type: ParquetDataset
|
| 466 |
-
use_delta: false
|
| 467 |
-
window_start_idx: 0
|
| 468 |
-
name_mappings:
|
| 469 |
-
action:
|
| 470 |
-
- action
|
| 471 |
-
observation.state:
|
| 472 |
-
- proprio
|
| 473 |
-
statistic_keys:
|
| 474 |
-
- observation.state
|
| 475 |
-
- timestamp
|
| 476 |
-
- action
|
| 477 |
-
statistic_name: libero_spatial_no_noops
|
| 478 |
-
statistics_overrides:
|
| 479 |
-
libero_spatial_no_noops:
|
| 480 |
-
action:
|
| 481 |
-
max:
|
| 482 |
-
- 0.9375
|
| 483 |
-
- 0.9375
|
| 484 |
-
- 0.9375
|
| 485 |
-
- 1.0
|
| 486 |
-
- 0.368853
|
| 487 |
-
- 0.341214
|
| 488 |
-
- 0.356395
|
| 489 |
-
- 1.0
|
| 490 |
-
- 0.348251
|
| 491 |
-
- 1.0
|
| 492 |
-
mean:
|
| 493 |
-
- 0.050704
|
| 494 |
-
- 0.097407
|
| 495 |
-
- -0.094833
|
| 496 |
-
- 0.994873
|
| 497 |
-
- -0.004579
|
| 498 |
-
- -0.004288
|
| 499 |
-
- 0.004389
|
| 500 |
-
- 0.996104
|
| 501 |
-
- 0.001109
|
| 502 |
-
- 0.476725
|
| 503 |
-
min:
|
| 504 |
-
- -0.9375
|
| 505 |
-
- -0.9375
|
| 506 |
-
- -0.9375
|
| 507 |
-
- 0.902028
|
| 508 |
-
- -0.356085
|
| 509 |
-
- -0.367416
|
| 510 |
-
- -0.370434
|
| 511 |
-
- 0.921907
|
| 512 |
-
- -0.255
|
| 513 |
-
- 0.0
|
| 514 |
-
q01:
|
| 515 |
-
- -0.723214
|
| 516 |
-
- -0.808929
|
| 517 |
-
- -0.9375
|
| 518 |
-
- 0.934955
|
| 519 |
-
- -0.223431
|
| 520 |
-
- -0.189878
|
| 521 |
-
- -0.334735
|
| 522 |
-
- 0.938516
|
| 523 |
-
- -0.107736
|
| 524 |
-
- 0.0
|
| 525 |
-
q99:
|
| 526 |
-
- 0.9375
|
| 527 |
-
- 0.870536
|
| 528 |
-
- 0.9375
|
| 529 |
-
- 1.0
|
| 530 |
-
- 0.331
|
| 531 |
-
- 0.163153
|
| 532 |
-
- 0.226216
|
| 533 |
-
- 1.0
|
| 534 |
-
- 0.127158
|
| 535 |
-
- 1.0
|
| 536 |
-
std:
|
| 537 |
-
- 0.333621
|
| 538 |
-
- 0.387175
|
| 539 |
-
- 0.45714
|
| 540 |
-
- 0.010807
|
| 541 |
-
- 0.077802
|
| 542 |
-
- 0.063386
|
| 543 |
-
- 0.078571
|
| 544 |
-
- 0.009994
|
| 545 |
-
- 0.038504
|
| 546 |
-
- 0.49946
|
| 547 |
-
type: DistributedRepeatingDataset
|
| 548 |
-
per_device_batch_size: 16
|
| 549 |
-
per_device_num_workers: 4
|
|
|
|
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cosmos3edge_libero_spatial_full_finetune_bs16/cosmos3edge_libero_spatial_full_finetune_2026_08_04_01_21_37.jsonl
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|
cosmos3edge_libero_spatial_full_finetune_bs16/dataset_statistics.json
DELETED
|
@@ -1,138 +0,0 @@
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|
| 1 |
-
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|
cosmos3edge_libero_spatial_full_finetune_bs16/run-metrics.jsonl
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
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'raw_action_dim', 'conditioning_fps', 'action_fps'], 'type': 'Cosmos3Collator'}, 'enable_gradient_checkpointing': True, 'enable_mixed_precision_training': True, 'grad_accumulation_steps': 16, 'lr_scheduler': {'cycle_length': 16000, 'type': 'linear-warmup+linear-decay', 'warmup_steps': 500}, 'max_epochs': None, 'max_grad_norm': 1.0, 'max_keep_ckpts': 2, 'max_steps': 2000, 'metric': {'active_trackers': ('jsonl', 'wandb'), 'grad_accumulation_steps': 16, 'run_dir': '/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_spatial_edge_pr51_latest_bs16', 'type': 'VLAMetric', 'window_size': 1}, 'mixed_precision_dtype': 'bf16', 'optimizer': {'betas': (0.9, 0.99), 'eps': 1e-08, 'exclude_1d_from_weight_decay': False, 'fused': True, 'lr': 5e-05, 'paramwise_learning_rate': {'action_in_proj.': 0.00025, 'action_modality_embed': 0.00025, 'action_out_proj.': 0.00025}, 'type': 'AdamW', 'weight_decay': 0.05}, 'sampler': None, 'save_iter_interval': 500, 'sharding_strategy': 'full-shard', 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'FSDPTrainRunner', 'cfg': Config (path: configs/cosmos3/cosmos3edge_libero_spatial_full_finetune.py): {...}, 'args': Namespace(config='configs/cosmos3/cosmos3edge_libero_spatial_full_finetune.py', work_dir='/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_spatial_edge_pr51_latest_bs16', cfg_options={'train_dataloader.per_device_batch_size': 16, 'runner.grad_accumulation_steps': 16, 'runner.metric.grad_accumulation_steps': 16}, eval_after_train=True, resume_from=None)}, 'seed': 7, 'train_dataloader': {'dataset': {'datasets': {'action_key': 'action', 'action_window_size': 16, 'data_root_path': '/mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_spatial_no_noops_lerobot', 'frame_window_size': 17, 'require_full_window': True, 'statistic_name': 'libero_spatial_no_noops', 'transforms': [{'embodiment_id': 5, 'name_mappings': {'actions': ['actions'], 'observation.state': ['states']}, 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats'], 'type': 'ProcessParquetInputs', 'video_keys': ['observation.images.image', 'observation.images.wrist_image']}, {'type': 'LiberoFramewiseActionToRot6D'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.1, 'max_len': 512, 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'ProcessCosmos3Prompt'}, {'height': 256, 'type': 'ResizeImages', 'width': 256}, {'type': 'SimpleNormalizeImages'}, {'action_dim': 64, 'action_key': 'action', 'action_norm_type': 'quantile', 'state_norm_type': 'none', 'state_dim': 64, 'state_key': 'proprio', 'type': 'NormalizeStatesAndActions'}, {'conditioning_fps': 20.0, 'frame_window_size': 17, 'mode': 'wam', 'prepend_state_to_action': False, 'raw_action_dim': 10, 'type': 'BuildCosmos3Sequence'}, {'frame_window_size': 17, 'num_views': 2, 'tile_direction': 'horizontal', 'type': 'PrepareVideo'}], 'type': 'ParquetDataset', 'use_delta': False, 'window_start_idx': 0}, 'name_mappings': {'action': ['action'], 'observation.state': ['proprio']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_spatial_no_noops', 'statistics_overrides': {'libero_spatial_no_noops': {'action': {'mean': [0.050704, 0.097407, -0.094833, 0.994873, -0.004579, -0.004288, 0.004389, 0.996104, 0.001109, 0.476725], 'std': [0.333621, 0.387175, 0.45714, 0.010807, 0.077802, 0.063386, 0.078571, 0.009994, 0.038504, 0.49946], 'min': [-0.9375, -0.9375, -0.9375, 0.902028, -0.356085, -0.367416, -0.370434, 0.921907, -0.255, 0.0], 'max': [0.9375, 0.9375, 0.9375, 1.0, 0.368853, 0.341214, 0.356395, 1.0, 0.348251, 1.0], 'q01': [-0.723214, -0.808929, -0.9375, 0.934955, -0.223431, -0.189878, -0.334735, 0.938516, -0.107736, 0.0], 'q99': [0.9375, 0.870536, 0.9375, 1.0, 0.331, 0.163153, 0.226216, 1.0, 0.127158, 1.0]}}}, 'type': 'DistributedRepeatingDataset'}, 'per_device_batch_size': 16, 'per_device_num_workers': 4}}, 'args': Namespace(config='configs/cosmos3/cosmos3edge_libero_spatial_full_finetune.py', work_dir='/mnt/data/cpfs/users/leo/wk_dir/cosmos3/libero_spatial_edge_pr51_latest_bs16', cfg_options={'train_dataloader.per_device_batch_size': 16, 'runner.grad_accumulation_steps': 16, 'runner.metric.grad_accumulation_steps': 16}, eval_after_train=True, resume_from=None)}, 'seed': 7, 'train_dataloader': {'dataset': {'datasets': {'action_key': 'action', 'action_window_size': 16, 'data_root_path': '/mnt/data/cpfs/mnt/data/yanis/FastWAM/data/libero_mujoco3.3.2/libero_spatial_no_noops_lerobot', 'frame_window_size': 17, 'require_full_window': True, 'statistic_name': 'libero_spatial_no_noops', 'transforms': [{'embodiment_id': 5, 'name_mappings': {'actions': ['actions'], 'observation.state': ['states']}, 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats'], 'type': 'ProcessParquetInputs', 'video_keys': ['observation.images.image', 'observation.images.wrist_image']}, {'type': 'LiberoFramewiseActionToRot6D'}, {'action_metadata': {'append_viewpoint': False, 'conditioning_fps': 20.0, 'frame_window_size': 17, 'video_height': 256, 'video_width': 512}, 'cfg_dropout_rate': 0.1, 'max_len': 512, 'tokenizer': {'model_max_length': 4096, 'model_path': './checkpoints/Cosmos3-Edge', 'padding_side': 'right', 'trust_remote_code': True, 'type': 'PretrainedTokenizer'}, 'type': 'ProcessCosmos3Prompt'}, {'height': 256, 'type': 'ResizeImages', 'width': 256}, {'type': 'SimpleNormalizeImages'}, {'action_dim': 64, 'action_key': 'action', 'action_norm_type': 'quantile', 'state_norm_type': 'none', 'state_dim': 64, 'state_key': 'proprio', 'type': 'NormalizeStatesAndActions'}, {'conditioning_fps': 20.0, 'frame_window_size': 17, 'mode': 'wam', 'prepend_state_to_action': False, 'raw_action_dim': 10, 'type': 'BuildCosmos3Sequence'}, {'frame_window_size': 17, 'num_views': 2, 'tile_direction': 'horizontal', 'type': 'PrepareVideo'}], 'type': 'ParquetDataset', 'use_delta': False, 'window_start_idx': 0}, 'name_mappings': {'action': ['action'], 'observation.state': ['proprio']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_spatial_no_noops', 'statistics_overrides': {'libero_spatial_no_noops': {'action': {'mean': [0.050704, 0.097407, -0.094833, 0.994873, -0.004579, -0.004288, 0.004389, 0.996104, 0.001109, 0.476725], 'std': [0.333621, 0.387175, 0.45714, 0.010807, 0.077802, 0.063386, 0.078571, 0.009994, 0.038504, 0.49946], 'min': [-0.9375, -0.9375, -0.9375, 0.902028, -0.356085, -0.367416, -0.370434, 0.921907, -0.255, 0.0], 'max': [0.9375, 0.9375, 0.9375, 1.0, 0.368853, 0.341214, 0.356395, 1.0, 0.348251, 1.0], 'q01': [-0.723214, -0.808929, -0.9375, 0.934955, -0.223431, -0.189878, -0.334735, 0.938516, -0.107736, 0.0], 'q99': [0.9375, 0.870536, 0.9375, 1.0, 0.331, 0.163153, 0.226216, 1.0, 0.127158, 1.0]}}}, 'type': 'DistributedRepeatingDataset'}, 'per_device_batch_size': 16, 'per_device_num_workers': 4}}", "run_id": "cosmos3edge_libero_spatial_full_finetune_2026_08_04_01_21_37"}
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cosmos3edge_libero_spatial_full_finetune_bs16/tokenizer/chat_template.jinja
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@@ -1,324 +0,0 @@
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-
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{% macro render_extra_keys(json_dict, handled_keys) %}
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{%- if json_dict is mapping %}
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{%- for json_key in json_dict if json_key not in handled_keys %}
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{%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
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{{- '
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<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
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{%- else %}
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-
{{-'
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<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{% endmacro %}
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{%- set enable_thinking = enable_thinking if enable_thinking is defined else True %}
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{%- set truncate_history_thinking = truncate_history_thinking if truncate_history_thinking is defined else True %}
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-
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{%- set ns = namespace(last_user_idx = -1) %}
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{%- set loop_messages = messages %}
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{%- for m in loop_messages %}
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{%- if m["role"] == "user" %}
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{%- set ns.last_user_idx = loop.index0 %}
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{%- endif %}
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{%- endfor %}
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{%- if messages[0]["role"] == "system" %}
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{%- if messages[0]["content"] is string %}
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{%- set system_message = messages[0]["content"] %}
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{%- else %}
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{%- set ns = namespace(system_text="") %}
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{%- for part in messages[0]["content"] %}
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{%- if 'text' in part %}
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{%- set ns.system_text = ns.system_text + part.text %}
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{%- endif %}
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{%- endfor %}
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{%- set system_message = ns.system_text %}
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{%- endif %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- set loop_messages = messages %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = [] %}
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{%- endif %}
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{# Recompute last_user_idx relative to loop_messages after handling system #}
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{%- set ns = namespace(last_user_idx = -1) %}
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{%- for m in loop_messages %}
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{%- if m["role"] == "user" %}
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{%- set ns.last_user_idx = loop.index0 %}
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{%- endif %}
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{%- endfor %}
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{%- if system_message is defined %}
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{{- "<|im_start|>system
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" + system_message }}
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{%- else %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "<|im_start|>system
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" }}
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{%- endif %}
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{%- endif %}
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{%- if tools is iterable and tools | length > 0 %}
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{%- if system_message is defined and system_message | length > 0 %}
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{{- "
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-
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" }}
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{%- endif %}
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{{- "# Tools
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You have access to the following functions:
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" }}
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{{- "<tools>" }}
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{%- for tool in tools %}
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{%- if tool.function is defined %}
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{%- set tool = tool.function %}
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| 78 |
-
{%- endif %}
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| 79 |
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{{- "
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| 80 |
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<function>
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| 81 |
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<name>" ~ tool.name ~ "</name>" }}
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| 82 |
-
{%- if tool.description is defined %}
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| 83 |
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{{- '
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| 84 |
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<description>' ~ (tool.description | trim) ~ '</description>' }}
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{%- endif %}
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| 86 |
-
{{- '
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| 87 |
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<parameters>' }}
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| 88 |
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{%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
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{%- for param_name, param_fields in tool.parameters.properties|items %}
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| 90 |
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{{- '
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<parameter>' }}
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{{- '
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<name>' ~ param_name ~ '</name>' }}
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-
{%- if param_fields.type is defined %}
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{{- '
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| 96 |
-
<type>' ~ (param_fields.type | string) ~ '</type>' }}
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| 97 |
-
{%- endif %}
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| 98 |
-
{%- if param_fields.description is defined %}
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| 99 |
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{{- '
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| 100 |
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<description>' ~ (param_fields.description | trim) ~ '</description>' }}
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| 101 |
-
{%- endif %}
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| 102 |
-
{%- if param_fields.enum is defined %}
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| 103 |
-
{{- '
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| 104 |
-
<enum>' ~ (param_fields.enum | tojson | safe) ~ '</enum>' }}
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| 105 |
-
{%- endif %}
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| 106 |
-
{%- set handled_keys = ['name', 'type', 'description', 'enum'] %}
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| 107 |
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{{- render_extra_keys(param_fields, handled_keys) }}
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| 108 |
-
{{- '
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</parameter>' }}
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{%- endfor %}
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| 111 |
-
{%- endif %}
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| 112 |
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{% set handled_keys = ['type', 'properties', 'required'] %}
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| 113 |
-
{{- render_extra_keys(tool.parameters, handled_keys) }}
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| 114 |
-
{%- if tool.parameters is defined and tool.parameters.required is defined %}
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| 115 |
-
{{- '
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| 116 |
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<required>' ~ (tool.parameters.required | tojson | safe) ~ '</required>' }}
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| 117 |
-
{%- endif %}
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| 118 |
-
{{- '
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| 119 |
-
</parameters>' }}
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| 120 |
-
{%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
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| 121 |
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{{- render_extra_keys(tool, handled_keys) }}
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| 122 |
-
{{- '
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| 123 |
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</function>' }}
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| 124 |
-
{%- endfor %}
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| 125 |
-
{{- "
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| 126 |
-
</tools>" }}
|
| 127 |
-
|
| 128 |
-
{{- '
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| 129 |
-
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| 130 |
-
If you choose to call a function ONLY reply in the following format with NO suffix:
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| 131 |
-
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| 132 |
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<tool_call>
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<function=example_function_name>
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| 134 |
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<parameter=example_parameter_1>
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| 135 |
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value_1
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| 136 |
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</parameter>
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| 137 |
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<parameter=example_parameter_2>
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| 138 |
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This is the value for the second parameter
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| 139 |
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that can span
|
| 140 |
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multiple lines
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| 141 |
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</parameter>
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| 142 |
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</function>
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| 143 |
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</tool_call>
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| 144 |
-
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| 145 |
-
<IMPORTANT>
|
| 146 |
-
Reminder:
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| 147 |
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- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags
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| 148 |
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- Required parameters MUST be specified
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| 149 |
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- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after
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| 150 |
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- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls
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| 151 |
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</IMPORTANT>' }}
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| 152 |
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{%- endif %}
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| 153 |
-
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| 154 |
-
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| 155 |
-
{%- if system_message is defined %}
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| 156 |
-
{{- '<|im_end|>
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| 157 |
-
' }}
|
| 158 |
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{%- else %}
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| 159 |
-
{%- if tools is iterable and tools | length > 0 %}
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| 160 |
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{{- '<|im_end|>
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| 161 |
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' }}
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| 162 |
-
{%- endif %}
|
| 163 |
-
{%- endif %}
|
| 164 |
-
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| 165 |
-
{%- set image_count = namespace(value=0) %}
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| 166 |
-
{%- set video_count = namespace(value=0) %}
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| 167 |
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{%- for message in loop_messages %}
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| 168 |
-
{%- if message.role == "assistant" %}
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| 169 |
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{# Add reasoning content in to content field for unified processing below. #}
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| 170 |
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{%- set text_content = namespace(text_content="") -%}
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| 171 |
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{%- if message.content is string %}
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| 172 |
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{%- set text_content.text_content = message.content %}
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| 173 |
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{%- else %}
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| 174 |
-
{%- for content in message.content %}
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| 175 |
-
{%- if 'text' in content %}
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| 176 |
-
{%- set text_content.text_content = content.text %}
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| 177 |
-
{%- break %}
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| 178 |
-
{%- endif %}
|
| 179 |
-
{%- endfor %}
|
| 180 |
-
{%- endif %}
|
| 181 |
-
{%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
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| 182 |
-
{%- set content = "<think>
|
| 183 |
-
" ~ message.reasoning_content ~ "
|
| 184 |
-
</think>
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| 185 |
-
" ~ (text_content.text_content | default('', true)) %}
|
| 186 |
-
{%- else %}
|
| 187 |
-
{%- set content = text_content.text_content | default('', true) %}
|
| 188 |
-
{# Allow downstream logic to to take care of broken thought, only handle coherent reasoning here. #}
|
| 189 |
-
{%- if '<think>' not in content and '</think>' not in content %}
|
| 190 |
-
{%- set content = "<think></think>" ~ content %}
|
| 191 |
-
{%- else %}
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| 192 |
-
{%- set content = content %}
|
| 193 |
-
{%- endif -%}
|
| 194 |
-
{%- endif %}
|
| 195 |
-
{%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
|
| 196 |
-
{# Assistant message has tool calls. #}
|
| 197 |
-
{{- '<|im_start|>assistant
|
| 198 |
-
' }}
|
| 199 |
-
{%- set include_content = not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 200 |
-
{%- if content is string and content | trim | length > 0 %}
|
| 201 |
-
{%- if include_content %}
|
| 202 |
-
{{- (content | trim) ~ '
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| 203 |
-
' -}}
|
| 204 |
-
{%- else %}
|
| 205 |
-
{%- set c = (content | string) %}
|
| 206 |
-
{%- if '</think>' in c %}
|
| 207 |
-
{# Keep only content after the last closing think. Also generation prompt causes this. #}
|
| 208 |
-
{%- set c = c.split('</think>')[-1] %}
|
| 209 |
-
{%- elif '<think>' in c %}
|
| 210 |
-
{# If <think> was opened but never closed, drop the trailing think segment #}
|
| 211 |
-
{%- set c = c.split('<think>')[0] %}
|
| 212 |
-
{%- endif %}
|
| 213 |
-
{%- set c = "<think></think>" ~ c | trim %}
|
| 214 |
-
{%- if c | length > 0 %}
|
| 215 |
-
{{- c ~ '
|
| 216 |
-
' -}}
|
| 217 |
-
{%- endif %}
|
| 218 |
-
{%- endif %}
|
| 219 |
-
{%- else %}
|
| 220 |
-
{{- "<think></think>" -}}
|
| 221 |
-
{%- endif %}
|
| 222 |
-
{%- for tool_call in message.tool_calls %}
|
| 223 |
-
{%- if tool_call.function is defined %}
|
| 224 |
-
{%- set tool_call = tool_call.function %}
|
| 225 |
-
{%- endif %}
|
| 226 |
-
{{- '<tool_call>
|
| 227 |
-
<function=' ~ tool_call.name ~ '>
|
| 228 |
-
' -}}
|
| 229 |
-
{%- if tool_call.arguments is defined %}
|
| 230 |
-
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 231 |
-
{{- '<parameter=' ~ args_name ~ '>
|
| 232 |
-
' -}}
|
| 233 |
-
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 234 |
-
{{- args_value ~ '
|
| 235 |
-
</parameter>
|
| 236 |
-
' -}}
|
| 237 |
-
{%- endfor %}
|
| 238 |
-
{%- endif %}
|
| 239 |
-
{{- '</function>
|
| 240 |
-
</tool_call>
|
| 241 |
-
' -}}
|
| 242 |
-
{%- endfor %}
|
| 243 |
-
{{- '<|im_end|>
|
| 244 |
-
' }}
|
| 245 |
-
{%- else %}
|
| 246 |
-
{# Assistant message doesn't have tool calls. #}
|
| 247 |
-
{%- if not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 248 |
-
{{- '<|im_start|>assistant
|
| 249 |
-
' ~ (content | default('', true) | string | trim) ~ '<|im_end|>
|
| 250 |
-
' }}
|
| 251 |
-
{%- else %}
|
| 252 |
-
{%- set c = (content | default('', true) | string) %}
|
| 253 |
-
{%- if '<think>' in c and '</think>' in c %}
|
| 254 |
-
{%- set c = "<think></think>" ~ c.split('</think>')[-1] %}
|
| 255 |
-
{%- endif %}
|
| 256 |
-
{%- set c = c | trim %}
|
| 257 |
-
{%- if c | length > 0 %}
|
| 258 |
-
{{- '<|im_start|>assistant
|
| 259 |
-
' ~ c ~ '<|im_end|>
|
| 260 |
-
' }}
|
| 261 |
-
{%- else %}
|
| 262 |
-
{{- '<|im_start|>assistant
|
| 263 |
-
<|im_end|>
|
| 264 |
-
' }}
|
| 265 |
-
{%- endif %}
|
| 266 |
-
{%- endif %}
|
| 267 |
-
{%- endif %}
|
| 268 |
-
{%- elif message.role == "user" or message.role == "system" %}
|
| 269 |
-
{{- '<|im_start|>' + message.role + '
|
| 270 |
-
' }}
|
| 271 |
-
{%- if message.content is string %}
|
| 272 |
-
{{- message.content }}
|
| 273 |
-
{%- else %}
|
| 274 |
-
{%- for content in message.content %}
|
| 275 |
-
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 276 |
-
{%- set image_count.value = image_count.value + 1 %}
|
| 277 |
-
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 278 |
-
<|vision_start|><|image_pad|><|vision_end|>
|
| 279 |
-
{%- elif content.type == 'video' or 'video' in content %}
|
| 280 |
-
{%- set video_count.value = video_count.value + 1 %}
|
| 281 |
-
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 282 |
-
<|vision_start|><|video_pad|><|vision_end|>
|
| 283 |
-
{%- elif 'text' in content %}
|
| 284 |
-
{{- content.text }}
|
| 285 |
-
{%- endif %}
|
| 286 |
-
{%- endfor %}
|
| 287 |
-
{%- endif %}
|
| 288 |
-
{{- '<|im_end|>
|
| 289 |
-
' }}
|
| 290 |
-
{%- elif message.role == "tool" %}
|
| 291 |
-
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 292 |
-
{{- '<|im_start|>user
|
| 293 |
-
' }}
|
| 294 |
-
{%- endif %}
|
| 295 |
-
{{- '<tool_response>
|
| 296 |
-
' }}
|
| 297 |
-
{{- message.content }}
|
| 298 |
-
{{- '
|
| 299 |
-
</tool_response>
|
| 300 |
-
' }}
|
| 301 |
-
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 302 |
-
{{- '<|im_end|>
|
| 303 |
-
' }}
|
| 304 |
-
{%- elif loop.last %}
|
| 305 |
-
{{- '<|im_end|>
|
| 306 |
-
' }}
|
| 307 |
-
{%- endif %}
|
| 308 |
-
{%- else %}
|
| 309 |
-
{{- '<|im_start|>' + message.role + '
|
| 310 |
-
' + message.content + '<|im_end|>
|
| 311 |
-
' }}
|
| 312 |
-
{%- endif %}
|
| 313 |
-
{%- endfor %}
|
| 314 |
-
|
| 315 |
-
{%- if add_generation_prompt %}
|
| 316 |
-
{%- if enable_thinking %}
|
| 317 |
-
{{- '<|im_start|>assistant
|
| 318 |
-
<think>
|
| 319 |
-
' }}
|
| 320 |
-
{%- else %}
|
| 321 |
-
{{- '<|im_start|>assistant
|
| 322 |
-
<think></think>' }}
|
| 323 |
-
{%- endif %}
|
| 324 |
-
{%- endif %}
|
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|
cosmos3edge_libero_spatial_full_finetune_bs16/tokenizer/special_tokens_map.json
DELETED
|
@@ -1,30 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token": {
|
| 3 |
-
"content": "<s>",
|
| 4 |
-
"lstrip": false,
|
| 5 |
-
"normalized": false,
|
| 6 |
-
"rstrip": false,
|
| 7 |
-
"single_word": false
|
| 8 |
-
},
|
| 9 |
-
"eos_token": {
|
| 10 |
-
"content": "<|im_end|>",
|
| 11 |
-
"lstrip": false,
|
| 12 |
-
"normalized": false,
|
| 13 |
-
"rstrip": false,
|
| 14 |
-
"single_word": false
|
| 15 |
-
},
|
| 16 |
-
"pad_token": {
|
| 17 |
-
"content": "<|im_end|>",
|
| 18 |
-
"lstrip": false,
|
| 19 |
-
"normalized": false,
|
| 20 |
-
"rstrip": false,
|
| 21 |
-
"single_word": false
|
| 22 |
-
},
|
| 23 |
-
"unk_token": {
|
| 24 |
-
"content": "<unk>",
|
| 25 |
-
"lstrip": false,
|
| 26 |
-
"normalized": false,
|
| 27 |
-
"rstrip": false,
|
| 28 |
-
"single_word": false
|
| 29 |
-
}
|
| 30 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
cosmos3edge_libero_spatial_full_finetune_bs16/tokenizer/tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:4dc692a99dca6d92a44e9529ffb53541eb79bb260eec7281bc51268c05d7311c
|
| 3 |
-
size 17077500
|
|
|
|
|
|
|
|
|
|
|
|
cosmos3edge_libero_spatial_full_finetune_bs16/tokenizer/tokenizer_config.json
DELETED
|
@@ -1,17 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_prefix_space": false,
|
| 3 |
-
"backend": "tokenizers",
|
| 4 |
-
"bos_token": "<s>",
|
| 5 |
-
"clean_up_tokenization_spaces": false,
|
| 6 |
-
"eos_token": "<|im_end|>",
|
| 7 |
-
"is_local": true,
|
| 8 |
-
"local_files_only": false,
|
| 9 |
-
"model_input_names": [
|
| 10 |
-
"input_ids",
|
| 11 |
-
"attention_mask"
|
| 12 |
-
],
|
| 13 |
-
"model_max_length": 262144,
|
| 14 |
-
"pad_token": "<|im_end|>",
|
| 15 |
-
"tokenizer_class": "TokenizersBackend",
|
| 16 |
-
"unk_token": "<unk>"
|
| 17 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
cosmos3edge_libero_spatial_full_finetune_bs16/vlm_backbone_config.json
DELETED
|
@@ -1,41 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"attention_bias": false,
|
| 3 |
-
"attention_dropout": 0.0,
|
| 4 |
-
"bos_token_id": 1,
|
| 5 |
-
"enable_mrope": true,
|
| 6 |
-
"enable_rope": true,
|
| 7 |
-
"eos_token_id": 11,
|
| 8 |
-
"head_dim": 128,
|
| 9 |
-
"hidden_dropout": 0.0,
|
| 10 |
-
"hidden_size": 2048,
|
| 11 |
-
"initializer_range": 0.02,
|
| 12 |
-
"intermediate_size": 9216,
|
| 13 |
-
"layer_norm_epsilon": 1e-05,
|
| 14 |
-
"max_position_embeddings": 131072,
|
| 15 |
-
"mlp_bias": false,
|
| 16 |
-
"mlp_hidden_act": "relu2",
|
| 17 |
-
"model_type": "nemotron_3_dense_vl_text",
|
| 18 |
-
"mrope_section": [
|
| 19 |
-
24,
|
| 20 |
-
20,
|
| 21 |
-
20
|
| 22 |
-
],
|
| 23 |
-
"num_attention_heads": 16,
|
| 24 |
-
"num_hidden_layers": 28,
|
| 25 |
-
"num_key_value_heads": 8,
|
| 26 |
-
"num_logits_to_keep": 1,
|
| 27 |
-
"packed_attention_backend": "flash2",
|
| 28 |
-
"pad_token_id": 11,
|
| 29 |
-
"residual_in_fp32": false,
|
| 30 |
-
"rope_parameters": {
|
| 31 |
-
"rope_theta": 100000000.0,
|
| 32 |
-
"rope_type": "default"
|
| 33 |
-
},
|
| 34 |
-
"rope_theta": 100000000.0,
|
| 35 |
-
"sliding_window": null,
|
| 36 |
-
"tie_word_embeddings": false,
|
| 37 |
-
"transformers_version": "5.3.0",
|
| 38 |
-
"use_cache": true,
|
| 39 |
-
"use_und_k_norm_for_gen": true,
|
| 40 |
-
"vocab_size": 131072
|
| 41 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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