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'greater_is_better': False, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': False, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 1, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': 2, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_backend': None, 'ddp_timeout': 18000000, 'fsdp': [], 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': False, 'do_predict': False, 'resume_from_checkpoint': None, 'warmup_ratio': 0.05, 'logging_dir': '/root/code/na/Idea-filtering-training/train/output/v5-20260306-105729/runs', 'local_rank': -1, 'sortish_sampler': False, 'predict_with_generate': False, 'generation_max_length': None, 'generation_num_beams': None, 'generation_config': None, 'tuner_backend': 'peft', 'vit_gradient_checkpointing': True, 'router_aux_loss_coef': 0.0, 'enable_dft_loss': False, 'enable_channel_loss': False, 'check_model': True, 'acc_strategy': 'token', 'train_dataloader_shuffle': True, 'group_by_length': False, 'max_epochs': 3, 'aligner_lr': None, 'vit_lr': None, 'use_logits_to_keep': None, 'ds3_gather_for_generation': True, 'resume_only_model': False, 'optimizer': None, 'loss_type': None, 'eval_metric': None, 'callbacks': [], 'early_stop_interval': None, 'eval_use_evalscope': False, 'eval_dataset': [], 'eval_dataset_args': None, 'eval_limit': None, 'eval_generation_config': None, 'extra_eval_args': None, 'tuner_type': 'lora', 'use_galore': False, 'galore_target_modules': None, 'galore_rank': 128, 'galore_update_proj_gap': 50, 'galore_scale': 1.0, 'galore_proj_type': 'std', 'galore_optim_per_parameter': False, 'galore_with_embedding': False, 'galore_quantization': False, 'galore_proj_quant': False, 'galore_proj_bits': 4, 'galore_proj_group_size': 256, 'galore_cos_threshold': 0.4, 'galore_gamma_proj': 2, 'galore_queue_size': 5, 'lisa_activated_layers': 0, 'lisa_step_interval': 20, 'use_flash_ckpt': False}
|
| 21 |
+
2026-03-06 10:57:47,308 INFO MainThread:1654770 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 2060182528 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ffc51dc5100>>
|
| 22 |
+
2026-03-06 10:57:47,308 INFO MainThread:1654770 [wandb_run.py:_config_callback():1403] config_cb model/num_parameters 2060182528 None
|
data/wandb/run-20260304_035219-bzc9z48s/files/config.yaml
ADDED
|
@@ -0,0 +1,632 @@
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: /root/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.25.0
|
| 6 |
+
e:
|
| 7 |
+
cu7bd4tvbr27kn8zb6sicf7uvdvg0f2r:
|
| 8 |
+
args:
|
| 9 |
+
- --model
|
| 10 |
+
- Qwen/Qwen3-1.7B
|
| 11 |
+
- --use_hf
|
| 12 |
+
- "true"
|
| 13 |
+
- --dataset
|
| 14 |
+
- /root/code/na/Idea-filtering-training/data/thinking_dataset_v2_swift.jsonl
|
| 15 |
+
- --train_type
|
| 16 |
+
- lora
|
| 17 |
+
- --lora_rank
|
| 18 |
+
- "32"
|
| 19 |
+
- --lora_alpha
|
| 20 |
+
- "64"
|
| 21 |
+
- --lora_dropout
|
| 22 |
+
- "0.05"
|
| 23 |
+
- --target_modules
|
| 24 |
+
- q_proj
|
| 25 |
+
- k_proj
|
| 26 |
+
- v_proj
|
| 27 |
+
- o_proj
|
| 28 |
+
- gate_proj
|
| 29 |
+
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| 481 |
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base_model_name_or_path: /root/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e
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| 487 |
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bias: none
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| 490 |
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eva_config: null
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| 491 |
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|
| 492 |
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fan_in_fan_out: false
|
| 493 |
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inference_mode: false
|
| 494 |
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init_lora_weights: true
|
| 495 |
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layer_replication: null
|
| 496 |
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layers_pattern: null
|
| 497 |
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layers_to_transform: null
|
| 498 |
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lora_alpha: 64
|
| 499 |
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lora_bias: false
|
| 500 |
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lora_dropout: 0.05
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| 501 |
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lora_dtype: null
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| 502 |
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lorap_emb_lr: 1e-06
|
| 503 |
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lorap_lr_ratio: null
|
| 504 |
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megatron_config: null
|
| 505 |
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megatron_core: megatron.core
|
| 506 |
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modules_to_save: []
|
| 507 |
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peft_type: LORA
|
| 508 |
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peft_version: 0.18.1
|
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qalora_group_size: 16
|
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r: 32
|
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revision: null
|
| 512 |
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runtime_config:
|
| 513 |
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ephemeral_gpu_offload: false
|
| 514 |
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target_modules:
|
| 515 |
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- o_proj
|
| 516 |
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- q_proj
|
| 517 |
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- down_proj
|
| 518 |
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- v_proj
|
| 519 |
+
- gate_proj
|
| 520 |
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- k_proj
|
| 521 |
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- up_proj
|
| 522 |
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target_parameters: null
|
| 523 |
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task_type: CAUSAL_LM
|
| 524 |
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trainable_token_indices: null
|
| 525 |
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use_dora: false
|
| 526 |
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use_qalora: false
|
| 527 |
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|
| 528 |
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per_device_eval_batch_size:
|
| 529 |
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value: 1
|
| 530 |
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per_device_train_batch_size:
|
| 531 |
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value: 1
|
| 532 |
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predict_with_generate:
|
| 533 |
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value: false
|
| 534 |
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prediction_loss_only:
|
| 535 |
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value: false
|
| 536 |
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problem_type:
|
| 537 |
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value: null
|
| 538 |
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project:
|
| 539 |
+
value: huggingface
|
| 540 |
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push_to_hub:
|
| 541 |
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value: false
|
| 542 |
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remove_unused_columns:
|
| 543 |
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value: false
|
| 544 |
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report_to:
|
| 545 |
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value:
|
| 546 |
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- wandb
|
| 547 |
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restore_callback_states_from_checkpoint:
|
| 548 |
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value: false
|
| 549 |
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resume_from_checkpoint:
|
| 550 |
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value: null
|
| 551 |
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resume_only_model:
|
| 552 |
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value: false
|
| 553 |
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return_dict:
|
| 554 |
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value: true
|
| 555 |
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rms_norm_eps:
|
| 556 |
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value: 1e-06
|
| 557 |
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rope_parameters:
|
| 558 |
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value:
|
| 559 |
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rope_theta: 1000000
|
| 560 |
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rope_type: default
|
| 561 |
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router_aux_loss_coef:
|
| 562 |
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value: 0
|
| 563 |
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run_name:
|
| 564 |
+
value: /root/code/na/Idea-filtering-training/train/output/v0-20260304-035120
|
| 565 |
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save_on_each_node:
|
| 566 |
+
value: false
|
| 567 |
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save_only_model:
|
| 568 |
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value: false
|
| 569 |
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save_steps:
|
| 570 |
+
value: 1000
|
| 571 |
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save_strategy:
|
| 572 |
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value: steps
|
| 573 |
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save_total_limit:
|
| 574 |
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value: null
|
| 575 |
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seed:
|
| 576 |
+
value: 42
|
| 577 |
+
skip_memory_metrics:
|
| 578 |
+
value: true
|
| 579 |
+
sliding_window:
|
| 580 |
+
value: null
|
| 581 |
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sortish_sampler:
|
| 582 |
+
value: false
|
| 583 |
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tf32:
|
| 584 |
+
value: null
|
| 585 |
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tie_word_embeddings:
|
| 586 |
+
value: true
|
| 587 |
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torch_compile:
|
| 588 |
+
value: false
|
| 589 |
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torch_compile_backend:
|
| 590 |
+
value: null
|
| 591 |
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torch_compile_mode:
|
| 592 |
+
value: null
|
| 593 |
+
torch_empty_cache_steps:
|
| 594 |
+
value: null
|
| 595 |
+
trackio_space_id:
|
| 596 |
+
value: trackio
|
| 597 |
+
train_dataloader_shuffle:
|
| 598 |
+
value: true
|
| 599 |
+
train_sampling_strategy:
|
| 600 |
+
value: random
|
| 601 |
+
transformers_version:
|
| 602 |
+
value: 5.2.0
|
| 603 |
+
tuner_backend:
|
| 604 |
+
value: peft
|
| 605 |
+
tuner_type:
|
| 606 |
+
value: lora
|
| 607 |
+
use_cache:
|
| 608 |
+
value: false
|
| 609 |
+
use_cpu:
|
| 610 |
+
value: false
|
| 611 |
+
use_flash_ckpt:
|
| 612 |
+
value: false
|
| 613 |
+
use_galore:
|
| 614 |
+
value: false
|
| 615 |
+
use_liger_kernel:
|
| 616 |
+
value: false
|
| 617 |
+
use_logits_to_keep:
|
| 618 |
+
value: null
|
| 619 |
+
use_sliding_window:
|
| 620 |
+
value: false
|
| 621 |
+
vit_gradient_checkpointing:
|
| 622 |
+
value: true
|
| 623 |
+
vit_lr:
|
| 624 |
+
value: null
|
| 625 |
+
vocab_size:
|
| 626 |
+
value: 151936
|
| 627 |
+
warmup_ratio:
|
| 628 |
+
value: 0.05
|
| 629 |
+
warmup_steps:
|
| 630 |
+
value: 0.05
|
| 631 |
+
weight_decay:
|
| 632 |
+
value: 0.1
|
data/wandb/run-20260304_035219-bzc9z48s/files/output.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
data/wandb/run-20260304_035219-bzc9z48s/files/requirements.txt
ADDED
|
@@ -0,0 +1,159 @@
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|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
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|
|
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|
|
|
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|
|
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|
|
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|
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|
|
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|
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|
|
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|
|
|
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|
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|
|
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|
|
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|
|
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|
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|
|
|
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|
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|
| 1 |
+
trl==0.28.0
|
| 2 |
+
pyarrow==23.0.1
|
| 3 |
+
cffi==2.0.0
|
| 4 |
+
aiosignal==1.4.0
|
| 5 |
+
ms_swift==4.0.0
|
| 6 |
+
aliyun-python-sdk-kms==2.16.5
|
| 7 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 8 |
+
markdown-it-py==4.0.0
|
| 9 |
+
nltk==3.9.3
|
| 10 |
+
cuda-pathfinder==1.4.0
|
| 11 |
+
sentencepiece==0.2.1
|
| 12 |
+
pycryptodome==3.23.0
|
| 13 |
+
hf-xet==1.3.2
|
| 14 |
+
multiprocess==0.70.16
|
| 15 |
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wandb==0.25.0
|
| 16 |
+
uv==0.10.8
|
| 17 |
+
rich==14.3.3
|
| 18 |
+
modelscope==1.34.0
|
| 19 |
+
websockets==15.0.1
|
| 20 |
+
binpacking==2.0.1
|
| 21 |
+
mpmath==1.3.0
|
| 22 |
+
certifi==2026.2.25
|
| 23 |
+
triton==3.6.0
|
| 24 |
+
nvidia-nvshmem-cu12==3.4.5
|
| 25 |
+
python-multipart==0.0.22
|
| 26 |
+
peft==0.18.1
|
| 27 |
+
httpx==0.28.1
|
| 28 |
+
numpy==2.4.2
|
| 29 |
+
pillow==11.3.0
|
| 30 |
+
wheel==0.46.3
|
| 31 |
+
MarkupSafe==3.0.3
|
| 32 |
+
ruff==0.15.4
|
| 33 |
+
frozenlist==1.8.0
|
| 34 |
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xxhash==3.6.0
|
| 35 |
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psutil==7.2.2
|
| 36 |
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pytz==2026.1.post1
|
| 37 |
+
platformdirs==4.9.2
|
| 38 |
+
joblib==1.5.3
|
| 39 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 40 |
+
safehttpx==0.1.7
|
| 41 |
+
datasets==3.6.0
|
| 42 |
+
tqdm==4.67.3
|
| 43 |
+
openai==2.24.0
|
| 44 |
+
nvidia-nccl-cu12==2.27.5
|
| 45 |
+
sympy==1.14.0
|
| 46 |
+
Werkzeug==3.1.6
|
| 47 |
+
sentry-sdk==2.54.0
|
| 48 |
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attrdict==2.0.1
|
| 49 |
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nvidia-nvtx-cu12==12.8.90
|
| 50 |
+
PyYAML==6.0.3
|
| 51 |
+
requests==2.32.5
|
| 52 |
+
importlib_metadata==8.7.1
|
| 53 |
+
h11==0.16.0
|
| 54 |
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json_repair==0.58.3
|
| 55 |
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typer-slim==0.24.0
|
| 56 |
+
pandas==2.3.3
|
| 57 |
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absl-py==2.4.0
|
| 58 |
+
tomlkit==0.13.3
|
| 59 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 60 |
+
gitdb==4.0.12
|
| 61 |
+
tiktoken==0.12.0
|
| 62 |
+
cpm-kernels==1.0.11
|
| 63 |
+
tensorboard-data-server==0.7.2
|
| 64 |
+
sniffio==1.3.1
|
| 65 |
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sortedcontainers==2.4.0
|
| 66 |
+
nvidia-curand-cu12==10.3.9.90
|
| 67 |
+
aiohttp==3.13.3
|
| 68 |
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transformers-stream-generator==0.0.5
|
| 69 |
+
gradio==5.50.0
|
| 70 |
+
pycparser==3.0
|
| 71 |
+
yarl==1.23.0
|
| 72 |
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Pygments==2.19.2
|
| 73 |
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ffmpy==1.0.0
|
| 74 |
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brotli==1.2.0
|
| 75 |
+
idna==3.11
|
| 76 |
+
Jinja2==3.1.6
|
| 77 |
+
pip==26.0.1
|
| 78 |
+
jieba==0.42.1
|
| 79 |
+
typing_extensions==4.15.0
|
| 80 |
+
torch==2.10.0
|
| 81 |
+
attrs==25.4.0
|
| 82 |
+
cuda-bindings==12.9.4
|
| 83 |
+
filelock==3.25.0
|
| 84 |
+
fonttools==4.61.1
|
| 85 |
+
accelerate==1.12.0
|
| 86 |
+
httpcore==1.0.9
|
| 87 |
+
charset-normalizer==3.4.4
|
| 88 |
+
regex==2026.2.28
|
| 89 |
+
simplejson==3.20.2
|
| 90 |
+
tensorboard==2.20.0
|
| 91 |
+
python-dateutil==2.9.0.post0
|
| 92 |
+
tzdata==2025.3
|
| 93 |
+
typer==0.24.1
|
| 94 |
+
pydantic==2.12.3
|
| 95 |
+
jiter==0.13.0
|
| 96 |
+
annotated-doc==0.0.4
|
| 97 |
+
aliyun-python-sdk-core==2.16.0
|
| 98 |
+
oss2==2.19.1
|
| 99 |
+
fastapi==0.135.1
|
| 100 |
+
shellingham==1.5.4
|
| 101 |
+
addict==2.4.0
|
| 102 |
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omegaconf==2.3.0
|
| 103 |
+
distro==1.9.0
|
| 104 |
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fsspec==2025.3.0
|
| 105 |
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cycler==0.12.1
|
| 106 |
+
rouge==1.0.1
|
| 107 |
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grpcio==1.78.0
|
| 108 |
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kiwisolver==1.4.9
|
| 109 |
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Markdown==3.10.2
|
| 110 |
+
pydub==0.25.1
|
| 111 |
+
protobuf==6.33.5
|
| 112 |
+
crcmod==1.7
|
| 113 |
+
typing-inspection==0.4.2
|
| 114 |
+
zstandard==0.25.0
|
| 115 |
+
gradio_client==1.14.0
|
| 116 |
+
tokenizers==0.22.2
|
| 117 |
+
packaging==25.0
|
| 118 |
+
zipp==3.23.0
|
| 119 |
+
mdurl==0.1.2
|
| 120 |
+
contourpy==1.3.3
|
| 121 |
+
aiohappyeyeballs==2.6.1
|
| 122 |
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transformers==5.2.0
|
| 123 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 124 |
+
semantic-version==2.10.0
|
| 125 |
+
dacite==1.9.2
|
| 126 |
+
antlr4-python3-runtime==4.9.3
|
| 127 |
+
anyio==4.12.1
|
| 128 |
+
aiofiles==24.1.0
|
| 129 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 130 |
+
networkx==3.6.1
|
| 131 |
+
cryptography==46.0.5
|
| 132 |
+
uvicorn==0.41.0
|
| 133 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 134 |
+
pydantic_core==2.41.4
|
| 135 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 136 |
+
pyparsing==3.3.2
|
| 137 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 138 |
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annotated-types==0.7.0
|
| 139 |
+
propcache==0.4.1
|
| 140 |
+
click==8.3.1
|
| 141 |
+
starlette==0.52.1
|
| 142 |
+
orjson==3.11.7
|
| 143 |
+
dill==0.3.8
|
| 144 |
+
groovy==0.1.2
|
| 145 |
+
safetensors==0.7.0
|
| 146 |
+
GitPython==3.1.46
|
| 147 |
+
smmap==5.0.2
|
| 148 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 149 |
+
einops==0.8.2
|
| 150 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 151 |
+
multidict==6.7.1
|
| 152 |
+
matplotlib==3.10.8
|
| 153 |
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six==1.17.0
|
| 154 |
+
jmespath==0.10.0
|
| 155 |
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nvidia-cudnn-cu12==9.10.2.21
|
| 156 |
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urllib3==2.6.3
|
| 157 |
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setuptools==80.10.2
|
| 158 |
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scipy==1.17.1
|
| 159 |
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huggingface_hub==1.5.0
|
data/wandb/run-20260304_035219-bzc9z48s/files/wandb-metadata.json
ADDED
|
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| 1 |
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{
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| 2 |
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"os": "Linux-6.8.0-87-generic-x86_64-with-glibc2.35",
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| 3 |
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"python": "CPython 3.12.12",
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| 4 |
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"startedAt": "2026-03-04T03:52:19.561578Z",
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| 5 |
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"args": [
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| 6 |
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"--model",
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| 7 |
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"Qwen/Qwen3-1.7B",
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| 8 |
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"--use_hf",
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| 9 |
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"true",
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| 10 |
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"--dataset",
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| 11 |
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"/root/code/na/Idea-filtering-training/data/thinking_dataset_v2_swift.jsonl",
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| 12 |
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"--train_type",
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| 13 |
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"lora",
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| 14 |
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"--lora_rank",
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| 15 |
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"32",
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| 16 |
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"--lora_alpha",
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| 17 |
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"64",
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| 18 |
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"--lora_dropout",
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| 19 |
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"0.05",
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| 20 |
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"--target_modules",
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| 21 |
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"q_proj",
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| 22 |
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"k_proj",
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| 23 |
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"v_proj",
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| 24 |
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"o_proj",
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| 25 |
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"gate_proj",
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| 26 |
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"up_proj",
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| 27 |
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"down_proj",
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| 28 |
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"--lora_ga_batch_size",
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| 29 |
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"1",
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| 30 |
+
"--lora_ga_iters",
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| 31 |
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"2",
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| 32 |
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"--lora_ga_max_length",
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| 33 |
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"1024",
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| 34 |
+
"--lora_ga_direction",
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| 35 |
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"ArB2r",
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| 36 |
+
"--lora_ga_scale",
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| 37 |
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"stable",
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| 38 |
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"--lora_ga_stable_gamma",
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| 39 |
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"16",
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| 40 |
+
"--per_device_train_batch_size",
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| 41 |
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"1",
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| 42 |
+
"--gradient_accumulation_steps",
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| 43 |
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"16",
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| 44 |
+
"--max_length",
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| 45 |
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"2600",
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| 46 |
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"--learning_rate",
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| 47 |
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"2e-4",
|
| 48 |
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"--warmup_ratio",
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| 49 |
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"0.05",
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| 50 |
+
"--max_epochs",
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| 51 |
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"3",
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| 52 |
+
"--attn_impl",
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| 53 |
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"eager",
|
| 54 |
+
"--output_dir",
|
| 55 |
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"/root/code/na/Idea-filtering-training/train/output",
|
| 56 |
+
"--save_strategy",
|
| 57 |
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"steps",
|
| 58 |
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"--save_steps",
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| 59 |
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"1000",
|
| 60 |
+
"--eval_steps",
|
| 61 |
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"500",
|
| 62 |
+
"--dataloader_num_workers",
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| 63 |
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"1",
|
| 64 |
+
"--dataset_num_proc",
|
| 65 |
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"16",
|
| 66 |
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"--load_from_cache_file",
|
| 67 |
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"true",
|
| 68 |
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"--model_author",
|
| 69 |
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"swift",
|
| 70 |
+
"--model_name",
|
| 71 |
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"swift-robot",
|
| 72 |
+
"--loss_scale",
|
| 73 |
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"ignore_empty_think",
|
| 74 |
+
"--report_to",
|
| 75 |
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"wandb"
|
| 76 |
+
],
|
| 77 |
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"program": "/root/miniconda3/envs/RM/lib/python3.12/site-packages/swift/cli/sft.py",
|
| 78 |
+
"git": {
|
| 79 |
+
"remote": "https://tnnanh1010:@github.com/Drylab-AI/Idea-filtering-training.git",
|
| 80 |
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"commit": "0dbe0bbbe696b2e49ffefa83123579a73fab61c6"
|
| 81 |
+
},
|
| 82 |
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"email": "nhatanh10102005@gmail.com",
|
| 83 |
+
"root": "/root/code/na/Idea-filtering-training/data",
|
| 84 |
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"host": "ubuntu",
|
| 85 |
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"executable": "/root/miniconda3/envs/RM/bin/python3",
|
| 86 |
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"cpu_count": 49,
|
| 87 |
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"cpu_count_logical": 49,
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| 88 |
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"gpu": "NVIDIA GeForce RTX 3060",
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| 89 |
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"gpu_count": 1,
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| 90 |
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"disk": {
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"/": {
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"total": "960312868864",
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"used": "865124937728"
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"memory": {
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"total": "628090474496"
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},
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| 99 |
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"gpu_nvidia": [
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| 100 |
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{
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| 101 |
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"name": "NVIDIA GeForce RTX 3060",
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| 102 |
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"memoryTotal": "12884901888",
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| 103 |
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"cudaCores": 3584,
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| 104 |
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"architecture": "Ampere",
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| 105 |
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"uuid": "GPU-f370a18a-d749-7bf1-c827-82726afbb6cf"
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| 106 |
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}
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| 107 |
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],
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"cudaVersion": "13.0",
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| 109 |
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"writerId": "cu7bd4tvbr27kn8zb6sicf7uvdvg0f2r"
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}
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2026-03-04 03:52:20,476 INFO MainThread:2895203 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 2066605056 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ffdd71ffd40>>
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| 22 |
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2026-03-04 03:52:20,476 INFO MainThread:2895203 [wandb_run.py:_config_callback():1403] config_cb model/num_parameters 2066605056 None
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2026-03-05 12:54:58,719 INFO wandb-AsyncioManager-main:2895203 [service_client.py:_forward_responses():134] Reached EOF.
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2026-03-05 12:54:58,720 INFO wandb-AsyncioManager-main:2895203 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
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Train: 0%| | 0/4374 [00:00<?, ?it/s][INFO:swift] use_logits_to_keep: True
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| 30 |
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|
| 31 |
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| 32 |
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data/wandb/run-20260306_073928-dpxzw953/files/requirements.txt
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
psutil==7.2.2
|
| 2 |
+
colorama==0.4.6
|
| 3 |
+
trl==0.28.0
|
| 4 |
+
pyarrow==23.0.1
|
| 5 |
+
msgpack==1.1.2
|
| 6 |
+
astor==0.8.1
|
| 7 |
+
cffi==2.0.0
|
| 8 |
+
aiosignal==1.4.0
|
| 9 |
+
sse-starlette==3.3.2
|
| 10 |
+
setproctitle==1.3.7
|
| 11 |
+
ms_swift==4.0.0
|
| 12 |
+
mistral_common==1.9.1
|
| 13 |
+
aliyun-python-sdk-kms==2.16.5
|
| 14 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 15 |
+
markdown-it-py==4.0.0
|
| 16 |
+
cachetools==7.0.3
|
| 17 |
+
nltk==3.9.3
|
| 18 |
+
cuda-pathfinder==1.4.0
|
| 19 |
+
sentencepiece==0.2.1
|
| 20 |
+
pycryptodome==3.23.0
|
| 21 |
+
hf-xet==1.3.2
|
| 22 |
+
multiprocess==0.70.16
|
| 23 |
+
wandb==0.25.0
|
| 24 |
+
fastar==0.8.0
|
| 25 |
+
uv==0.10.8
|
| 26 |
+
interegular==0.3.3
|
| 27 |
+
rich==14.3.3
|
| 28 |
+
modelscope==1.34.0
|
| 29 |
+
websockets==15.0.1
|
| 30 |
+
binpacking==2.0.1
|
| 31 |
+
seaborn==0.13.2
|
| 32 |
+
uvloop==0.22.1
|
| 33 |
+
mpmath==1.3.0
|
| 34 |
+
certifi==2026.2.25
|
| 35 |
+
vllm==0.16.0
|
| 36 |
+
supervisor==4.3.0
|
| 37 |
+
flashinfer-python==0.6.3
|
| 38 |
+
cbor2==5.8.0
|
| 39 |
+
msgspec==0.20.0
|
| 40 |
+
threadpoolctl==3.6.0
|
| 41 |
+
watchfiles==1.1.1
|
| 42 |
+
python-multipart==0.0.22
|
| 43 |
+
peft==0.18.1
|
| 44 |
+
httpx==0.28.1
|
| 45 |
+
pillow==11.3.0
|
| 46 |
+
wheel==0.46.3
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
+
ruff==0.15.4
|
| 49 |
+
frozenlist==1.8.0
|
| 50 |
+
xxhash==3.6.0
|
| 51 |
+
psutil==7.2.2
|
| 52 |
+
pytz==2026.1.post1
|
| 53 |
+
platformdirs==4.9.2
|
| 54 |
+
joblib==1.5.3
|
| 55 |
+
transformers==5.3.0
|
| 56 |
+
scikit-learn==1.8.0
|
| 57 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 58 |
+
nvidia-cutlass-dsl-libs-base==4.4.1
|
| 59 |
+
openai-harmony==0.0.8
|
| 60 |
+
safehttpx==0.1.7
|
| 61 |
+
gdown==5.2.1
|
| 62 |
+
diskcache==5.6.3
|
| 63 |
+
datasets==3.6.0
|
| 64 |
+
tqdm==4.67.3
|
| 65 |
+
openai==2.24.0
|
| 66 |
+
nvidia-nccl-cu12==2.27.5
|
| 67 |
+
sympy==1.14.0
|
| 68 |
+
tabulate==0.10.0
|
| 69 |
+
Werkzeug==3.1.6
|
| 70 |
+
sentry-sdk==2.54.0
|
| 71 |
+
numba==0.61.2
|
| 72 |
+
attrdict==2.0.1
|
| 73 |
+
referencing==0.37.0
|
| 74 |
+
cuda-python==13.1.1
|
| 75 |
+
jsonschema-specifications==2025.9.1
|
| 76 |
+
nvidia-nvtx-cu12==12.8.90
|
| 77 |
+
email-validator==2.3.0
|
| 78 |
+
PyYAML==6.0.3
|
| 79 |
+
requests==2.32.5
|
| 80 |
+
cloudpickle==3.1.2
|
| 81 |
+
xgrammar==0.1.29
|
| 82 |
+
importlib_metadata==8.7.1
|
| 83 |
+
prometheus_client==0.24.1
|
| 84 |
+
h11==0.16.0
|
| 85 |
+
json_repair==0.58.3
|
| 86 |
+
typer-slim==0.24.0
|
| 87 |
+
pandas==2.3.3
|
| 88 |
+
absl-py==2.4.0
|
| 89 |
+
tomlkit==0.13.3
|
| 90 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 91 |
+
gitdb==4.0.12
|
| 92 |
+
tiktoken==0.12.0
|
| 93 |
+
soupsieve==2.8.3
|
| 94 |
+
cpm-kernels==1.0.11
|
| 95 |
+
tensorboard-data-server==0.7.2
|
| 96 |
+
sniffio==1.3.1
|
| 97 |
+
sortedcontainers==2.4.0
|
| 98 |
+
pycountry==26.2.16
|
| 99 |
+
triton==3.5.1
|
| 100 |
+
nvidia-curand-cu12==10.3.9.90
|
| 101 |
+
beautifulsoup4==4.14.3
|
| 102 |
+
aiohttp==3.13.3
|
| 103 |
+
nvidia-cutlass-dsl==4.4.1
|
| 104 |
+
transformers-stream-generator==0.0.5
|
| 105 |
+
gradio==5.50.0
|
| 106 |
+
lark==1.2.2
|
| 107 |
+
pycparser==3.0
|
| 108 |
+
yarl==1.23.0
|
| 109 |
+
outlines_core==0.2.11
|
| 110 |
+
anthropic==0.84.0
|
| 111 |
+
jsonschema==4.26.0
|
| 112 |
+
Pygments==2.19.2
|
| 113 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 114 |
+
ffmpy==1.0.0
|
| 115 |
+
brotli==1.2.0
|
| 116 |
+
idna==3.11
|
| 117 |
+
Jinja2==3.1.6
|
| 118 |
+
pip==26.0.1
|
| 119 |
+
docstring_parser==0.17.0
|
| 120 |
+
jieba==0.42.1
|
| 121 |
+
typing_extensions==4.15.0
|
| 122 |
+
torch==2.9.1
|
| 123 |
+
attrs==25.4.0
|
| 124 |
+
filelock==3.25.0
|
| 125 |
+
fonttools==4.61.1
|
| 126 |
+
accelerate==1.12.0
|
| 127 |
+
httpcore==1.0.9
|
| 128 |
+
ijson==3.5.0
|
| 129 |
+
model-hosting-container-standards==0.1.13
|
| 130 |
+
PyJWT==2.11.0
|
| 131 |
+
charset-normalizer==3.4.4
|
| 132 |
+
regex==2026.2.28
|
| 133 |
+
simplejson==3.20.2
|
| 134 |
+
tensorboard==2.20.0
|
| 135 |
+
python-json-logger==4.0.0
|
| 136 |
+
python-dateutil==2.9.0.post0
|
| 137 |
+
nvidia-cudnn-frontend==1.18.0
|
| 138 |
+
tzdata==2025.3
|
| 139 |
+
typer==0.24.1
|
| 140 |
+
pydantic==2.12.3
|
| 141 |
+
jiter==0.13.0
|
| 142 |
+
annotated-doc==0.0.4
|
| 143 |
+
aliyun-python-sdk-core==2.16.0
|
| 144 |
+
oss2==2.19.1
|
| 145 |
+
fastapi==0.135.1
|
| 146 |
+
shellingham==1.5.4
|
| 147 |
+
addict==2.4.0
|
| 148 |
+
omegaconf==2.3.0
|
| 149 |
+
distro==1.9.0
|
| 150 |
+
depyf==0.20.0
|
| 151 |
+
numpy==2.2.6
|
| 152 |
+
rignore==0.7.6
|
| 153 |
+
torchaudio==2.9.1
|
| 154 |
+
ray==2.54.0
|
| 155 |
+
blake3==1.0.8
|
| 156 |
+
fsspec==2025.3.0
|
| 157 |
+
cycler==0.12.1
|
| 158 |
+
rouge==1.0.1
|
| 159 |
+
pydantic-settings==2.13.1
|
| 160 |
+
grpcio==1.78.0
|
| 161 |
+
kiwisolver==1.4.9
|
| 162 |
+
partial-json-parser==0.2.1.1.post7
|
| 163 |
+
Markdown==3.10.2
|
| 164 |
+
httptools==0.7.1
|
| 165 |
+
pydantic-extra-types==2.11.0
|
| 166 |
+
rich-toolkit==0.19.7
|
| 167 |
+
mcp==1.26.0
|
| 168 |
+
pydub==0.25.1
|
| 169 |
+
protobuf==6.33.5
|
| 170 |
+
crcmod==1.7
|
| 171 |
+
typing-inspection==0.4.2
|
| 172 |
+
zstandard==0.25.0
|
| 173 |
+
gradio_client==1.14.0
|
| 174 |
+
tokenizers==0.22.2
|
| 175 |
+
packaging==25.0
|
| 176 |
+
zipp==3.23.0
|
| 177 |
+
py-cpuinfo==9.0.0
|
| 178 |
+
mdurl==0.1.2
|
| 179 |
+
contourpy==1.3.3
|
| 180 |
+
pyzmq==27.1.0
|
| 181 |
+
aiohappyeyeballs==2.6.1
|
| 182 |
+
ninja==1.13.0
|
| 183 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 184 |
+
semantic-version==2.10.0
|
| 185 |
+
dacite==1.9.2
|
| 186 |
+
antlr4-python3-runtime==4.9.3
|
| 187 |
+
python-dotenv==1.2.2
|
| 188 |
+
compressed-tensors==0.13.0
|
| 189 |
+
gguf==0.18.0
|
| 190 |
+
anyio==4.12.1
|
| 191 |
+
aiofiles==24.1.0
|
| 192 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 193 |
+
networkx==3.6.1
|
| 194 |
+
cryptography==46.0.5
|
| 195 |
+
uvicorn==0.41.0
|
| 196 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 197 |
+
fastapi-cloud-cli==0.14.0
|
| 198 |
+
fastapi-cli==0.0.24
|
| 199 |
+
pydantic_core==2.41.4
|
| 200 |
+
llvmlite==0.44.0
|
| 201 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 202 |
+
rpds-py==0.30.0
|
| 203 |
+
pyparsing==3.3.2
|
| 204 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 205 |
+
annotated-types==0.7.0
|
| 206 |
+
pybase64==1.4.3
|
| 207 |
+
propcache==0.4.1
|
| 208 |
+
prometheus-fastapi-instrumentator==7.1.0
|
| 209 |
+
click==8.3.1
|
| 210 |
+
starlette==0.52.1
|
| 211 |
+
PySocks==1.7.1
|
| 212 |
+
orjson==3.11.7
|
| 213 |
+
dill==0.3.8
|
| 214 |
+
httpx-sse==0.4.3
|
| 215 |
+
nvidia-ml-py==13.590.48
|
| 216 |
+
loguru==0.7.3
|
| 217 |
+
groovy==0.1.2
|
| 218 |
+
cupy-cuda12x==14.0.1
|
| 219 |
+
safetensors==0.7.0
|
| 220 |
+
GitPython==3.1.46
|
| 221 |
+
lm-format-enforcer==0.11.3
|
| 222 |
+
grpcio-reflection==1.78.0
|
| 223 |
+
smmap==5.0.2
|
| 224 |
+
opencv-python-headless==4.13.0.92
|
| 225 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 226 |
+
einops==0.8.2
|
| 227 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 228 |
+
multidict==6.7.1
|
| 229 |
+
dnspython==2.8.0
|
| 230 |
+
matplotlib==3.10.8
|
| 231 |
+
six==1.17.0
|
| 232 |
+
jmespath==0.10.0
|
| 233 |
+
apache-tvm-ffi==0.1.9
|
| 234 |
+
llguidance==1.3.0
|
| 235 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 236 |
+
urllib3==2.6.3
|
| 237 |
+
setuptools==80.10.2
|
| 238 |
+
cuda-bindings==13.1.1
|
| 239 |
+
scipy==1.17.1
|
| 240 |
+
huggingface_hub==1.5.0
|
| 241 |
+
torchvision==0.24.1
|
data/wandb/run-20260306_073928-dpxzw953/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
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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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"0.05",
|
| 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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"16",
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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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"3",
|
| 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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"steps",
|
| 45 |
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|
| 46 |
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"1000",
|
| 47 |
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|
| 48 |
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"500",
|
| 49 |
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|
| 50 |
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"1",
|
| 51 |
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|
| 52 |
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"16",
|
| 53 |
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|
| 54 |
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"true",
|
| 55 |
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|
| 56 |
+
"swift",
|
| 57 |
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|
| 58 |
+
"swift-robot",
|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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"wandb"
|
| 63 |
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],
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| 64 |
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| 65 |
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| 70 |
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
psutil==7.2.2
|
| 2 |
+
colorama==0.4.6
|
| 3 |
+
trl==0.28.0
|
| 4 |
+
pyarrow==23.0.1
|
| 5 |
+
msgpack==1.1.2
|
| 6 |
+
astor==0.8.1
|
| 7 |
+
cffi==2.0.0
|
| 8 |
+
qwen-vl-utils==0.0.14
|
| 9 |
+
aiosignal==1.4.0
|
| 10 |
+
sse-starlette==3.3.2
|
| 11 |
+
setproctitle==1.3.7
|
| 12 |
+
ms_swift==4.0.0
|
| 13 |
+
mistral_common==1.9.1
|
| 14 |
+
aliyun-python-sdk-kms==2.16.5
|
| 15 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 16 |
+
markdown-it-py==4.0.0
|
| 17 |
+
cachetools==7.0.3
|
| 18 |
+
nltk==3.9.3
|
| 19 |
+
cuda-pathfinder==1.4.0
|
| 20 |
+
sentencepiece==0.2.1
|
| 21 |
+
pycryptodome==3.23.0
|
| 22 |
+
hf-xet==1.3.2
|
| 23 |
+
multiprocess==0.70.16
|
| 24 |
+
wandb==0.25.0
|
| 25 |
+
fastar==0.8.0
|
| 26 |
+
uv==0.10.8
|
| 27 |
+
interegular==0.3.3
|
| 28 |
+
rich==14.3.3
|
| 29 |
+
modelscope==1.34.0
|
| 30 |
+
websockets==15.0.1
|
| 31 |
+
binpacking==2.0.1
|
| 32 |
+
seaborn==0.13.2
|
| 33 |
+
uvloop==0.22.1
|
| 34 |
+
mpmath==1.3.0
|
| 35 |
+
certifi==2026.2.25
|
| 36 |
+
vllm==0.16.0
|
| 37 |
+
supervisor==4.3.0
|
| 38 |
+
flashinfer-python==0.6.3
|
| 39 |
+
cbor2==5.8.0
|
| 40 |
+
msgspec==0.20.0
|
| 41 |
+
threadpoolctl==3.6.0
|
| 42 |
+
watchfiles==1.1.1
|
| 43 |
+
python-multipart==0.0.22
|
| 44 |
+
peft==0.18.1
|
| 45 |
+
httpx==0.28.1
|
| 46 |
+
pillow==11.3.0
|
| 47 |
+
wheel==0.46.3
|
| 48 |
+
MarkupSafe==3.0.3
|
| 49 |
+
ruff==0.15.4
|
| 50 |
+
frozenlist==1.8.0
|
| 51 |
+
xxhash==3.6.0
|
| 52 |
+
psutil==7.2.2
|
| 53 |
+
pytz==2026.1.post1
|
| 54 |
+
platformdirs==4.9.2
|
| 55 |
+
joblib==1.5.3
|
| 56 |
+
transformers==5.3.0
|
| 57 |
+
scikit-learn==1.8.0
|
| 58 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 59 |
+
nvidia-cutlass-dsl-libs-base==4.4.1
|
| 60 |
+
openai-harmony==0.0.8
|
| 61 |
+
safehttpx==0.1.7
|
| 62 |
+
gdown==5.2.1
|
| 63 |
+
diskcache==5.6.3
|
| 64 |
+
datasets==3.6.0
|
| 65 |
+
tqdm==4.67.3
|
| 66 |
+
openai==2.24.0
|
| 67 |
+
nvidia-nccl-cu12==2.27.5
|
| 68 |
+
sympy==1.14.0
|
| 69 |
+
tabulate==0.10.0
|
| 70 |
+
Werkzeug==3.1.6
|
| 71 |
+
sentry-sdk==2.54.0
|
| 72 |
+
numba==0.61.2
|
| 73 |
+
attrdict==2.0.1
|
| 74 |
+
referencing==0.37.0
|
| 75 |
+
cuda-python==13.1.1
|
| 76 |
+
jsonschema-specifications==2025.9.1
|
| 77 |
+
nvidia-nvtx-cu12==12.8.90
|
| 78 |
+
email-validator==2.3.0
|
| 79 |
+
PyYAML==6.0.3
|
| 80 |
+
requests==2.32.5
|
| 81 |
+
cloudpickle==3.1.2
|
| 82 |
+
xgrammar==0.1.29
|
| 83 |
+
importlib_metadata==8.7.1
|
| 84 |
+
prometheus_client==0.24.1
|
| 85 |
+
h11==0.16.0
|
| 86 |
+
json_repair==0.58.3
|
| 87 |
+
typer-slim==0.24.0
|
| 88 |
+
pandas==2.3.3
|
| 89 |
+
absl-py==2.4.0
|
| 90 |
+
tomlkit==0.13.3
|
| 91 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 92 |
+
gitdb==4.0.12
|
| 93 |
+
tiktoken==0.12.0
|
| 94 |
+
soupsieve==2.8.3
|
| 95 |
+
cpm-kernels==1.0.11
|
| 96 |
+
tensorboard-data-server==0.7.2
|
| 97 |
+
sniffio==1.3.1
|
| 98 |
+
sortedcontainers==2.4.0
|
| 99 |
+
pycountry==26.2.16
|
| 100 |
+
triton==3.5.1
|
| 101 |
+
nvidia-curand-cu12==10.3.9.90
|
| 102 |
+
beautifulsoup4==4.14.3
|
| 103 |
+
aiohttp==3.13.3
|
| 104 |
+
nvidia-cutlass-dsl==4.4.1
|
| 105 |
+
transformers-stream-generator==0.0.5
|
| 106 |
+
gradio==5.50.0
|
| 107 |
+
lark==1.2.2
|
| 108 |
+
pycparser==3.0
|
| 109 |
+
yarl==1.23.0
|
| 110 |
+
outlines_core==0.2.11
|
| 111 |
+
anthropic==0.84.0
|
| 112 |
+
jsonschema==4.26.0
|
| 113 |
+
Pygments==2.19.2
|
| 114 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 115 |
+
ffmpy==1.0.0
|
| 116 |
+
brotli==1.2.0
|
| 117 |
+
idna==3.11
|
| 118 |
+
Jinja2==3.1.6
|
| 119 |
+
pip==26.0.1
|
| 120 |
+
docstring_parser==0.17.0
|
| 121 |
+
jieba==0.42.1
|
| 122 |
+
typing_extensions==4.15.0
|
| 123 |
+
torch==2.9.1
|
| 124 |
+
attrs==25.4.0
|
| 125 |
+
filelock==3.25.0
|
| 126 |
+
fonttools==4.61.1
|
| 127 |
+
accelerate==1.12.0
|
| 128 |
+
httpcore==1.0.9
|
| 129 |
+
ijson==3.5.0
|
| 130 |
+
model-hosting-container-standards==0.1.13
|
| 131 |
+
PyJWT==2.11.0
|
| 132 |
+
charset-normalizer==3.4.4
|
| 133 |
+
regex==2026.2.28
|
| 134 |
+
simplejson==3.20.2
|
| 135 |
+
tensorboard==2.20.0
|
| 136 |
+
python-json-logger==4.0.0
|
| 137 |
+
python-dateutil==2.9.0.post0
|
| 138 |
+
nvidia-cudnn-frontend==1.18.0
|
| 139 |
+
tzdata==2025.3
|
| 140 |
+
typer==0.24.1
|
| 141 |
+
pydantic==2.12.3
|
| 142 |
+
jiter==0.13.0
|
| 143 |
+
annotated-doc==0.0.4
|
| 144 |
+
aliyun-python-sdk-core==2.16.0
|
| 145 |
+
oss2==2.19.1
|
| 146 |
+
fastapi==0.135.1
|
| 147 |
+
shellingham==1.5.4
|
| 148 |
+
addict==2.4.0
|
| 149 |
+
omegaconf==2.3.0
|
| 150 |
+
distro==1.9.0
|
| 151 |
+
depyf==0.20.0
|
| 152 |
+
numpy==2.2.6
|
| 153 |
+
rignore==0.7.6
|
| 154 |
+
torchaudio==2.9.1
|
| 155 |
+
ray==2.54.0
|
| 156 |
+
blake3==1.0.8
|
| 157 |
+
fsspec==2025.3.0
|
| 158 |
+
cycler==0.12.1
|
| 159 |
+
rouge==1.0.1
|
| 160 |
+
pydantic-settings==2.13.1
|
| 161 |
+
grpcio==1.78.0
|
| 162 |
+
kiwisolver==1.4.9
|
| 163 |
+
partial-json-parser==0.2.1.1.post7
|
| 164 |
+
Markdown==3.10.2
|
| 165 |
+
httptools==0.7.1
|
| 166 |
+
pydantic-extra-types==2.11.0
|
| 167 |
+
rich-toolkit==0.19.7
|
| 168 |
+
mcp==1.26.0
|
| 169 |
+
pydub==0.25.1
|
| 170 |
+
protobuf==6.33.5
|
| 171 |
+
crcmod==1.7
|
| 172 |
+
typing-inspection==0.4.2
|
| 173 |
+
zstandard==0.25.0
|
| 174 |
+
gradio_client==1.14.0
|
| 175 |
+
tokenizers==0.22.2
|
| 176 |
+
packaging==25.0
|
| 177 |
+
zipp==3.23.0
|
| 178 |
+
py-cpuinfo==9.0.0
|
| 179 |
+
mdurl==0.1.2
|
| 180 |
+
contourpy==1.3.3
|
| 181 |
+
pyzmq==27.1.0
|
| 182 |
+
aiohappyeyeballs==2.6.1
|
| 183 |
+
ninja==1.13.0
|
| 184 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 185 |
+
semantic-version==2.10.0
|
| 186 |
+
dacite==1.9.2
|
| 187 |
+
antlr4-python3-runtime==4.9.3
|
| 188 |
+
python-dotenv==1.2.2
|
| 189 |
+
compressed-tensors==0.13.0
|
| 190 |
+
gguf==0.18.0
|
| 191 |
+
anyio==4.12.1
|
| 192 |
+
aiofiles==24.1.0
|
| 193 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 194 |
+
networkx==3.6.1
|
| 195 |
+
cryptography==46.0.5
|
| 196 |
+
uvicorn==0.41.0
|
| 197 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 198 |
+
fastapi-cloud-cli==0.14.0
|
| 199 |
+
fastapi-cli==0.0.24
|
| 200 |
+
pydantic_core==2.41.4
|
| 201 |
+
llvmlite==0.44.0
|
| 202 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 203 |
+
rpds-py==0.30.0
|
| 204 |
+
pyparsing==3.3.2
|
| 205 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 206 |
+
annotated-types==0.7.0
|
| 207 |
+
pybase64==1.4.3
|
| 208 |
+
propcache==0.4.1
|
| 209 |
+
prometheus-fastapi-instrumentator==7.1.0
|
| 210 |
+
click==8.3.1
|
| 211 |
+
starlette==0.52.1
|
| 212 |
+
PySocks==1.7.1
|
| 213 |
+
orjson==3.11.7
|
| 214 |
+
dill==0.3.8
|
| 215 |
+
httpx-sse==0.4.3
|
| 216 |
+
nvidia-ml-py==13.590.48
|
| 217 |
+
loguru==0.7.3
|
| 218 |
+
groovy==0.1.2
|
| 219 |
+
cupy-cuda12x==14.0.1
|
| 220 |
+
safetensors==0.7.0
|
| 221 |
+
GitPython==3.1.46
|
| 222 |
+
lm-format-enforcer==0.11.3
|
| 223 |
+
grpcio-reflection==1.78.0
|
| 224 |
+
smmap==5.0.2
|
| 225 |
+
opencv-python-headless==4.13.0.92
|
| 226 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 227 |
+
einops==0.8.2
|
| 228 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 229 |
+
multidict==6.7.1
|
| 230 |
+
dnspython==2.8.0
|
| 231 |
+
matplotlib==3.10.8
|
| 232 |
+
six==1.17.0
|
| 233 |
+
jmespath==0.10.0
|
| 234 |
+
apache-tvm-ffi==0.1.9
|
| 235 |
+
llguidance==1.3.0
|
| 236 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 237 |
+
urllib3==2.6.3
|
| 238 |
+
setuptools==80.10.2
|
| 239 |
+
cuda-bindings==13.1.1
|
| 240 |
+
av==16.1.0
|
| 241 |
+
scipy==1.17.1
|
| 242 |
+
huggingface_hub==1.5.0
|
| 243 |
+
torchvision==0.24.1
|
data/wandb/run-20260306_105746-8846dbl6/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
{
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| 2 |
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| 3 |
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| 4 |
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|
| 5 |
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|
| 6 |
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"--model",
|
| 7 |
+
"Qwen/Qwen3-1.7B",
|
| 8 |
+
"--use_hf",
|
| 9 |
+
"true",
|
| 10 |
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"--dataset",
|
| 11 |
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"/root/code/na/Idea-filtering-training/data/thinking_dataset_v2_swift.jsonl",
|
| 12 |
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|
| 13 |
+
"lora",
|
| 14 |
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|
| 15 |
+
"32",
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| 16 |
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| 17 |
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"64",
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| 18 |
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"--lora_dropout",
|
| 19 |
+
"0.05",
|
| 20 |
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"--target_modules",
|
| 21 |
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"q_proj",
|
| 22 |
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"k_proj",
|
| 23 |
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"v_proj,o_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
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"up_proj",
|
| 26 |
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"down_proj",
|
| 27 |
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"--per_device_train_batch_size",
|
| 28 |
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"1",
|
| 29 |
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"--gradient_accumulation_steps",
|
| 30 |
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"16",
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| 31 |
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|
| 32 |
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"2600",
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| 33 |
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|
| 36 |
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"0.05",
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| 37 |
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|
| 38 |
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"3",
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| 39 |
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|
| 40 |
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"eager",
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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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"1000",
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| 48 |
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| 49 |
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| 50 |
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"1",
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|
| 52 |
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"16",
|
| 53 |
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|
| 54 |
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"true",
|
| 55 |
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|
| 56 |
+
"swift",
|
| 57 |
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|
| 58 |
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"swift-robot",
|
| 59 |
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|
| 60 |
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|
| 61 |
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| 62 |
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"wandb"
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| 63 |
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],
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"program": "/root/miniconda3/envs/RM/lib/python3.12/site-packages/swift/cli/sft.py",
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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"host": "ubuntu",
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2026-03-06 10:57:47,308 INFO MainThread:1654770 [wandb_run.py:_config_callback():1403] config_cb model/num_parameters 2060182528 None
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| 1 |
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| 346 |
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}
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output/Qwen3-1.7B/v0-20260304-031440/images/train_epoch.png
ADDED
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output/Qwen3-1.7B/v0-20260304-031440/images/train_grad_norm.png
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output/Qwen3-1.7B/v0-20260304-031440/images/train_learning_rate.png
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output/Qwen3-1.7B/v0-20260304-031440/images/train_loss.png
ADDED
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output/Qwen3-1.7B/v0-20260304-031440/images/train_token_acc.png
ADDED
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output/Qwen3-1.7B/v0-20260304-031440/logging.jsonl
ADDED
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{"loss": 2.80828404, "grad_norm": 0.70461369, "learning_rate": 0.0001, "token_acc": 0.54860752, "epoch": 0.00039497, "global_step/max_steps": "1/7596", "elapsed_time": "22s", "remaining_time": "1d 22h 44m 52s", "memory(GiB)": 9.3, "train_speed(s/it)": 22.158197}
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{"loss": 2.10956383, "grad_norm": 0.06330702, "learning_rate": 0.0001, "token_acc": 0.54739539, "epoch": 0.00197487, "global_step/max_steps": "5/7596", "elapsed_time": "1m 45s", "remaining_time": "1d 20h 26m 11s", "memory(GiB)": 11.09, "train_speed(s/it)": 21.073719}
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{"loss": 1.88895645, "grad_norm": 0.06611262, "learning_rate": 0.0001, "token_acc": 0.54985593, "epoch": 0.00394974, "global_step/max_steps": "10/7596", "elapsed_time": "3m 30s", "remaining_time": "1d 20h 20m 37s", "memory(GiB)": 11.09, "train_speed(s/it)": 21.043592}
|
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output/Qwen3-1.7B/v0-20260304-031440/runs/Mar04_03-19-12_ubuntu/events.out.tfevents.1772594352.ubuntu.2490446.0
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