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Browse files- LlamaFactory/wandb/run-20260205_023738-7rn01zb3/files/output.log +0 -0
- LlamaFactory/wandb/run-20260205_024315-zvjq5754/files/config.yaml +723 -0
- LlamaFactory/wandb/run-20260205_024315-zvjq5754/files/requirements.txt +257 -0
- LlamaFactory/wandb/run-20260205_024315-zvjq5754/files/wandb-metadata.json +41 -0
- LlamaFactory/wandb/run-20260205_024315-zvjq5754/files/wandb-summary.json +1 -0
- LlamaFactory/wandb/run-20260205_024315-zvjq5754/logs/debug-internal.log +11 -0
- LlamaFactory/wandb/run-20260205_024315-zvjq5754/logs/debug.log +25 -0
- LlamaFactory/wandb/run-20260205_074020-s91zw8js/files/config.yaml +723 -0
- LlamaFactory/wandb/run-20260205_074020-s91zw8js/files/requirements.txt +257 -0
- LlamaFactory/wandb/run-20260205_074020-s91zw8js/files/wandb-metadata.json +41 -0
- LlamaFactory/wandb/run-20260205_074020-s91zw8js/files/wandb-summary.json +1 -0
- LlamaFactory/wandb/run-20260205_074020-s91zw8js/logs/debug-internal.log +12 -0
- LlamaFactory/wandb/run-20260205_074020-s91zw8js/logs/debug.log +25 -0
- LlamaFactory/wandb/run-20260205_074050-63c40qxy/files/config.yaml +723 -0
- LlamaFactory/wandb/run-20260205_074050-63c40qxy/files/requirements.txt +257 -0
- LlamaFactory/wandb/run-20260205_074050-63c40qxy/files/wandb-metadata.json +41 -0
- LlamaFactory/wandb/run-20260205_074050-63c40qxy/files/wandb-summary.json +1 -0
- LlamaFactory/wandb/run-20260205_074050-63c40qxy/logs/debug-internal.log +12 -0
- LlamaFactory/wandb/run-20260205_074050-63c40qxy/logs/debug.log +25 -0
- LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/config.yaml +723 -0
- LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/output.log +370 -0
- LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/requirements.txt +257 -0
- LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/wandb-metadata.json +41 -0
- LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/wandb-summary.json +1 -0
- LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/logs/debug-internal.log +11 -0
- LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/logs/debug.log +25 -0
- LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/config.yaml +723 -0
- LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/output.log +156 -0
- LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/requirements.txt +257 -0
- LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/wandb-metadata.json +41 -0
- LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/wandb-summary.json +1 -0
- LlamaFactory/wandb/run-20260209_080305-rc9olpt3/logs/debug-internal.log +11 -0
- LlamaFactory/wandb/run-20260209_080305-rc9olpt3/logs/debug.log +25 -0
- LlamaFactory/wandb/run-20260209_081117-18fi1m6s/files/output.log +0 -0
- LlamaFactory/wandb/run-20260209_081117-18fi1m6s/files/requirements.txt +257 -0
- LlamaFactory/wandb/run-20260209_081117-18fi1m6s/files/wandb-metadata.json +41 -0
- LlamaFactory/wandb/run-20260209_081117-18fi1m6s/logs/debug-internal.log +11 -0
- LlamaFactory/wandb/run-20260209_081117-18fi1m6s/logs/debug.log +25 -0
LlamaFactory/wandb/run-20260205_023738-7rn01zb3/files/output.log
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LlamaFactory/wandb/run-20260205_024315-zvjq5754/files/config.yaml
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| 1 |
+
_name_or_path:
|
| 2 |
+
value: /workspace/Qwen/Qwen3-8B-Base
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.24.2
|
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e:
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qv5hxlnjyijt45h1hirthpvj46z6i895:
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args:
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- /workspace/v127rc_exp1/B_mul.yaml
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cpu_count: 24
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cpu_count_logical: 48
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total: "21474836480"
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used: "2532245504"
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email: markmochi200@gmail.com
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executable: /usr/bin/python
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git:
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commit: 1a02717fa84c270d1c156c4c4a391c2f95525a63
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remote: https://github.com/hiyouga/LlamaFactory.git
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gpu: NVIDIA GeForce RTX 4090
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gpu_count: 1
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gpu_nvidia:
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cudaCores: 16384
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memoryTotal: "25757220864"
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name: NVIDIA GeForce RTX 4090
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uuid: GPU-e976cc69-65b4-6c21-059f-e293b12f21b0
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os: Linux-6.5.0-45-generic-x86_64-with-glibc2.35
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program: /usr/local/bin/llamafactory-cli
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python: CPython 3.11.10
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root: /workspace/LlamaFactory
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startedAt: "2026-02-05T02:43:15.345218Z"
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log_level:
|
| 441 |
+
value: passive
|
| 442 |
+
log_level_replica:
|
| 443 |
+
value: warning
|
| 444 |
+
log_on_each_node:
|
| 445 |
+
value: true
|
| 446 |
+
logging_dir:
|
| 447 |
+
value: null
|
| 448 |
+
logging_first_step:
|
| 449 |
+
value: false
|
| 450 |
+
logging_nan_inf_filter:
|
| 451 |
+
value: true
|
| 452 |
+
logging_steps:
|
| 453 |
+
value: 1
|
| 454 |
+
logging_strategy:
|
| 455 |
+
value: steps
|
| 456 |
+
lr_scheduler_kwargs:
|
| 457 |
+
value: null
|
| 458 |
+
lr_scheduler_type:
|
| 459 |
+
value: cosine
|
| 460 |
+
master_addr:
|
| 461 |
+
value: null
|
| 462 |
+
master_port:
|
| 463 |
+
value: null
|
| 464 |
+
max_grad_norm:
|
| 465 |
+
value: 1
|
| 466 |
+
max_position_embeddings:
|
| 467 |
+
value: 32768
|
| 468 |
+
max_steps:
|
| 469 |
+
value: -1
|
| 470 |
+
max_window_layers:
|
| 471 |
+
value: 36
|
| 472 |
+
metric_for_best_model:
|
| 473 |
+
value: null
|
| 474 |
+
model/num_parameters:
|
| 475 |
+
value: 8234382336
|
| 476 |
+
model_args:
|
| 477 |
+
value:
|
| 478 |
+
adapter_folder: null
|
| 479 |
+
adapter_name_or_path: null
|
| 480 |
+
add_special_tokens: null
|
| 481 |
+
add_tokens: null
|
| 482 |
+
audio_sampling_rate: 16000
|
| 483 |
+
block_diag_attn: false
|
| 484 |
+
cache_dir: null
|
| 485 |
+
chunk_size: 8192
|
| 486 |
+
compute_dtype: torch.bfloat16
|
| 487 |
+
cpu_infer: 32
|
| 488 |
+
crop_to_patches: false
|
| 489 |
+
device_map:
|
| 490 |
+
"": cuda:0
|
| 491 |
+
disable_gradient_checkpointing: false
|
| 492 |
+
double_quantization: true
|
| 493 |
+
enable_liger_kernel: false
|
| 494 |
+
export_device: cpu
|
| 495 |
+
export_dir: null
|
| 496 |
+
export_hub_model_id: null
|
| 497 |
+
export_legacy_format: false
|
| 498 |
+
export_quantization_bit: null
|
| 499 |
+
export_quantization_dataset: null
|
| 500 |
+
export_quantization_maxlen: 1024
|
| 501 |
+
export_quantization_nsamples: 128
|
| 502 |
+
export_size: 5
|
| 503 |
+
flash_attn: auto
|
| 504 |
+
hf_hub_token: <HF_HUB_TOKEN>
|
| 505 |
+
image_do_pan_and_scan: false
|
| 506 |
+
image_max_pixels: 589824
|
| 507 |
+
image_min_pixels: 1024
|
| 508 |
+
infer_backend: HF
|
| 509 |
+
infer_dtype: auto
|
| 510 |
+
init_special_tokens: noise_init
|
| 511 |
+
kt_force_think: false
|
| 512 |
+
kt_maxlen: 4096
|
| 513 |
+
kt_mode: normal
|
| 514 |
+
kt_optimize_rule: null
|
| 515 |
+
kt_use_cuda_graph: true
|
| 516 |
+
low_cpu_mem_usage: true
|
| 517 |
+
mixture_of_depths: null
|
| 518 |
+
mode: normal
|
| 519 |
+
model_max_length: 2047
|
| 520 |
+
model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
|
| 521 |
+
model_revision: main
|
| 522 |
+
moe_aux_loss_coef: null
|
| 523 |
+
ms_hub_token: <MS_HUB_TOKEN>
|
| 524 |
+
new_special_tokens_config: null
|
| 525 |
+
offload_folder: offload
|
| 526 |
+
om_hub_token: <OM_HUB_TOKEN>
|
| 527 |
+
print_param_status: false
|
| 528 |
+
quantization_bit: null
|
| 529 |
+
quantization_device_map: null
|
| 530 |
+
quantization_method: BNB
|
| 531 |
+
quantization_type: nf4
|
| 532 |
+
resize_vocab: false
|
| 533 |
+
rope_scaling: null
|
| 534 |
+
sglang_config: null
|
| 535 |
+
sglang_lora_backend: triton
|
| 536 |
+
sglang_maxlen: 4096
|
| 537 |
+
sglang_mem_fraction: 0.7
|
| 538 |
+
sglang_tp_size: -1
|
| 539 |
+
shift_attn: false
|
| 540 |
+
split_special_tokens: false
|
| 541 |
+
train_from_scratch: false
|
| 542 |
+
trust_remote_code: true
|
| 543 |
+
upcast_layernorm: false
|
| 544 |
+
upcast_lmhead_output: false
|
| 545 |
+
use_audio_in_video: false
|
| 546 |
+
use_fast_tokenizer: true
|
| 547 |
+
use_kt: false
|
| 548 |
+
use_kv_cache: true
|
| 549 |
+
use_reentrant_gc: true
|
| 550 |
+
use_unsloth: false
|
| 551 |
+
use_unsloth_gc: false
|
| 552 |
+
use_v1_kernels: false
|
| 553 |
+
video_fps: 2
|
| 554 |
+
video_max_pixels: 65536
|
| 555 |
+
video_maxlen: 128
|
| 556 |
+
video_min_pixels: 256
|
| 557 |
+
vllm_config: null
|
| 558 |
+
vllm_enforce_eager: false
|
| 559 |
+
vllm_gpu_util: 0.7
|
| 560 |
+
vllm_max_lora_rank: 32
|
| 561 |
+
vllm_maxlen: 4096
|
| 562 |
+
model_type:
|
| 563 |
+
value: qwen3
|
| 564 |
+
neftune_noise_alpha:
|
| 565 |
+
value: null
|
| 566 |
+
num_attention_heads:
|
| 567 |
+
value: 32
|
| 568 |
+
num_hidden_layers:
|
| 569 |
+
value: 36
|
| 570 |
+
num_key_value_heads:
|
| 571 |
+
value: 8
|
| 572 |
+
num_train_epochs:
|
| 573 |
+
value: 5
|
| 574 |
+
optim:
|
| 575 |
+
value: adamw_torch
|
| 576 |
+
optim_args:
|
| 577 |
+
value: null
|
| 578 |
+
optim_target_modules:
|
| 579 |
+
value: null
|
| 580 |
+
output_attentions:
|
| 581 |
+
value: false
|
| 582 |
+
output_dir:
|
| 583 |
+
value: /workspace/v127rc_exp1/B_mul
|
| 584 |
+
output_hidden_states:
|
| 585 |
+
value: false
|
| 586 |
+
overwrite_output_dir:
|
| 587 |
+
value: false
|
| 588 |
+
pad_token_id:
|
| 589 |
+
value: 151643
|
| 590 |
+
parallelism_config:
|
| 591 |
+
value: null
|
| 592 |
+
peft_config:
|
| 593 |
+
value:
|
| 594 |
+
default:
|
| 595 |
+
alora_invocation_tokens: null
|
| 596 |
+
arrow_config: null
|
| 597 |
+
auto_mapping: null
|
| 598 |
+
base_model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
|
| 599 |
+
bias: none
|
| 600 |
+
corda_config: null
|
| 601 |
+
ensure_weight_tying: false
|
| 602 |
+
eva_config: null
|
| 603 |
+
exclude_modules: null
|
| 604 |
+
fan_in_fan_out: false
|
| 605 |
+
inference_mode: false
|
| 606 |
+
init_lora_weights: true
|
| 607 |
+
layer_replication: null
|
| 608 |
+
layers_pattern: null
|
| 609 |
+
layers_to_transform: null
|
| 610 |
+
lora_alpha: 32
|
| 611 |
+
lora_bias: false
|
| 612 |
+
lora_dropout: 0.03
|
| 613 |
+
megatron_config: null
|
| 614 |
+
megatron_core: megatron.core
|
| 615 |
+
modules_to_save: null
|
| 616 |
+
peft_type: LORA
|
| 617 |
+
peft_version: 0.18.1
|
| 618 |
+
qalora_group_size: 16
|
| 619 |
+
r: 16
|
| 620 |
+
revision: null
|
| 621 |
+
runtime_config:
|
| 622 |
+
ephemeral_gpu_offload: false
|
| 623 |
+
target_modules:
|
| 624 |
+
- down_proj
|
| 625 |
+
- gate_proj
|
| 626 |
+
- v_proj
|
| 627 |
+
- o_proj
|
| 628 |
+
- up_proj
|
| 629 |
+
- k_proj
|
| 630 |
+
- q_proj
|
| 631 |
+
target_parameters: null
|
| 632 |
+
task_type: CAUSAL_LM
|
| 633 |
+
trainable_token_indices: null
|
| 634 |
+
use_dora: false
|
| 635 |
+
use_qalora: false
|
| 636 |
+
use_rslora: false
|
| 637 |
+
per_device_eval_batch_size:
|
| 638 |
+
value: 8
|
| 639 |
+
per_device_train_batch_size:
|
| 640 |
+
value: 1
|
| 641 |
+
predict_with_generate:
|
| 642 |
+
value: false
|
| 643 |
+
prediction_loss_only:
|
| 644 |
+
value: false
|
| 645 |
+
problem_type:
|
| 646 |
+
value: null
|
| 647 |
+
project:
|
| 648 |
+
value: huggingface
|
| 649 |
+
push_to_hub:
|
| 650 |
+
value: false
|
| 651 |
+
ray_init_kwargs:
|
| 652 |
+
value: null
|
| 653 |
+
ray_num_workers:
|
| 654 |
+
value: 1
|
| 655 |
+
remove_unused_columns:
|
| 656 |
+
value: false
|
| 657 |
+
report_to:
|
| 658 |
+
value:
|
| 659 |
+
- wandb
|
| 660 |
+
restore_callback_states_from_checkpoint:
|
| 661 |
+
value: false
|
| 662 |
+
resume_from_checkpoint:
|
| 663 |
+
value: null
|
| 664 |
+
return_dict:
|
| 665 |
+
value: true
|
| 666 |
+
rms_norm_eps:
|
| 667 |
+
value: 1e-06
|
| 668 |
+
rope_parameters:
|
| 669 |
+
value:
|
| 670 |
+
rope_theta: 1000000
|
| 671 |
+
rope_type: default
|
| 672 |
+
run_name:
|
| 673 |
+
value: null
|
| 674 |
+
save_on_each_node:
|
| 675 |
+
value: false
|
| 676 |
+
save_only_model:
|
| 677 |
+
value: true
|
| 678 |
+
save_steps:
|
| 679 |
+
value: 1000
|
| 680 |
+
save_strategy:
|
| 681 |
+
value: steps
|
| 682 |
+
save_total_limit:
|
| 683 |
+
value: null
|
| 684 |
+
seed:
|
| 685 |
+
value: 42
|
| 686 |
+
skip_memory_metrics:
|
| 687 |
+
value: true
|
| 688 |
+
sliding_window:
|
| 689 |
+
value: null
|
| 690 |
+
sortish_sampler:
|
| 691 |
+
value: false
|
| 692 |
+
tf32:
|
| 693 |
+
value: null
|
| 694 |
+
tie_word_embeddings:
|
| 695 |
+
value: false
|
| 696 |
+
torch_compile:
|
| 697 |
+
value: false
|
| 698 |
+
torch_compile_backend:
|
| 699 |
+
value: null
|
| 700 |
+
torch_compile_mode:
|
| 701 |
+
value: null
|
| 702 |
+
torch_empty_cache_steps:
|
| 703 |
+
value: null
|
| 704 |
+
trackio_space_id:
|
| 705 |
+
value: trackio
|
| 706 |
+
transformers_version:
|
| 707 |
+
value: 5.0.0
|
| 708 |
+
use_cache:
|
| 709 |
+
value: false
|
| 710 |
+
use_cpu:
|
| 711 |
+
value: false
|
| 712 |
+
use_liger_kernel:
|
| 713 |
+
value: false
|
| 714 |
+
use_sliding_window:
|
| 715 |
+
value: false
|
| 716 |
+
vocab_size:
|
| 717 |
+
value: 151936
|
| 718 |
+
warmup_ratio:
|
| 719 |
+
value: 0.02
|
| 720 |
+
warmup_steps:
|
| 721 |
+
value: 0.02
|
| 722 |
+
weight_decay:
|
| 723 |
+
value: 0
|
LlamaFactory/wandb/run-20260205_024315-zvjq5754/files/requirements.txt
ADDED
|
@@ -0,0 +1,257 @@
|
|
|
|
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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 |
+
pytz==2025.2
|
| 2 |
+
pydub==0.25.1
|
| 3 |
+
brotli==1.2.0
|
| 4 |
+
antlr4-python3-runtime==4.9.3
|
| 5 |
+
xxhash==3.6.0
|
| 6 |
+
websockets==15.0.1
|
| 7 |
+
tzdata==2025.3
|
| 8 |
+
typing_extensions==4.15.0
|
| 9 |
+
tqdm==4.67.3
|
| 10 |
+
tomlkit==0.13.3
|
| 11 |
+
termcolor==3.3.0
|
| 12 |
+
shtab==1.8.0
|
| 13 |
+
shellingham==1.5.4
|
| 14 |
+
sentencepiece==0.2.1
|
| 15 |
+
semantic-version==2.10.0
|
| 16 |
+
safetensors==0.7.0
|
| 17 |
+
ruff==0.15.0
|
| 18 |
+
regex==2026.1.15
|
| 19 |
+
python-multipart==0.0.22
|
| 20 |
+
pyparsing==3.3.2
|
| 21 |
+
pyarrow==23.0.0
|
| 22 |
+
protobuf==6.33.5
|
| 23 |
+
propcache==0.4.1
|
| 24 |
+
orjson==3.11.7
|
| 25 |
+
omegaconf==2.3.0
|
| 26 |
+
numpy==2.4.2
|
| 27 |
+
multidict==6.7.1
|
| 28 |
+
mdurl==0.1.2
|
| 29 |
+
kiwisolver==1.4.9
|
| 30 |
+
hf-xet==1.2.0
|
| 31 |
+
hf_transfer==0.1.9
|
| 32 |
+
groovy==0.1.2
|
| 33 |
+
frozenlist==1.8.0
|
| 34 |
+
fonttools==4.61.1
|
| 35 |
+
ffmpy==1.0.0
|
| 36 |
+
einops==0.8.2
|
| 37 |
+
docstring_parser==0.17.0
|
| 38 |
+
dill==0.3.8
|
| 39 |
+
cycler==0.12.1
|
| 40 |
+
click==8.3.1
|
| 41 |
+
av==16.0.0
|
| 42 |
+
annotated-types==0.7.0
|
| 43 |
+
annotated-doc==0.0.4
|
| 44 |
+
aiohappyeyeballs==2.6.1
|
| 45 |
+
aiofiles==24.1.0
|
| 46 |
+
yarl==1.22.0
|
| 47 |
+
uvicorn==0.40.0
|
| 48 |
+
typing-inspection==0.4.2
|
| 49 |
+
typer-slim==0.21.1
|
| 50 |
+
tiktoken==0.12.0
|
| 51 |
+
scipy==1.17.0
|
| 52 |
+
pydantic_core==2.41.4
|
| 53 |
+
pandas==2.3.3
|
| 54 |
+
multiprocess==0.70.16
|
| 55 |
+
modelscope==1.34.0
|
| 56 |
+
markdown-it-py==4.0.0
|
| 57 |
+
fire==0.7.1
|
| 58 |
+
contourpy==1.3.3
|
| 59 |
+
anyio==4.12.1
|
| 60 |
+
aiosignal==1.4.0
|
| 61 |
+
starlette==0.50.0
|
| 62 |
+
rich==14.3.2
|
| 63 |
+
pydantic==2.12.3
|
| 64 |
+
matplotlib==3.10.8
|
| 65 |
+
aiohttp==3.13.3
|
| 66 |
+
tyro==0.8.14
|
| 67 |
+
typer==0.21.1
|
| 68 |
+
torchdata==0.11.0
|
| 69 |
+
sse-starlette==3.2.0
|
| 70 |
+
safehttpx==0.1.7
|
| 71 |
+
huggingface_hub==1.4.0
|
| 72 |
+
fastapi==0.128.1
|
| 73 |
+
tokenizers==0.22.2
|
| 74 |
+
gradio_client==1.14.0
|
| 75 |
+
datasets==4.0.0
|
| 76 |
+
accelerate==1.11.0
|
| 77 |
+
transformers==5.0.0
|
| 78 |
+
gradio==5.50.0
|
| 79 |
+
trl==0.24.0
|
| 80 |
+
peft==0.18.1
|
| 81 |
+
llamafactory==0.9.5.dev0
|
| 82 |
+
jieba==0.42.1
|
| 83 |
+
rouge-chinese==1.0.3
|
| 84 |
+
joblib==1.5.3
|
| 85 |
+
nltk==3.9.2
|
| 86 |
+
py-cpuinfo==9.0.0
|
| 87 |
+
nvidia-ml-py==13.590.48
|
| 88 |
+
hjson==3.1.0
|
| 89 |
+
ninja==1.13.0
|
| 90 |
+
msgpack==1.1.2
|
| 91 |
+
deepspeed==0.16.9
|
| 92 |
+
smmap==5.0.2
|
| 93 |
+
sentry-sdk==2.52.0
|
| 94 |
+
gitdb==4.0.12
|
| 95 |
+
GitPython==3.1.46
|
| 96 |
+
wandb==0.24.2
|
| 97 |
+
entrypoints==0.4
|
| 98 |
+
jupyter_client==7.4.9
|
| 99 |
+
nbclassic==1.1.0
|
| 100 |
+
notebook==6.5.5
|
| 101 |
+
pyzmq==24.0.1
|
| 102 |
+
PyYAML==6.0.2
|
| 103 |
+
Send2Trash==1.8.3
|
| 104 |
+
argon2-cffi==23.1.0
|
| 105 |
+
argon2-cffi-bindings==21.2.0
|
| 106 |
+
arrow==1.3.0
|
| 107 |
+
asttokens==2.4.1
|
| 108 |
+
async-lru==2.0.4
|
| 109 |
+
attrs==24.2.0
|
| 110 |
+
babel==2.16.0
|
| 111 |
+
beautifulsoup4==4.12.3
|
| 112 |
+
bleach==6.1.0
|
| 113 |
+
certifi==2024.8.30
|
| 114 |
+
cffi==1.17.1
|
| 115 |
+
charset-normalizer==3.3.2
|
| 116 |
+
comm==0.2.2
|
| 117 |
+
debugpy==1.8.5
|
| 118 |
+
decorator==5.1.1
|
| 119 |
+
defusedxml==0.7.1
|
| 120 |
+
executing==2.1.0
|
| 121 |
+
fastjsonschema==2.20.0
|
| 122 |
+
fqdn==1.5.1
|
| 123 |
+
h11==0.14.0
|
| 124 |
+
httpcore==1.0.5
|
| 125 |
+
httpx==0.27.2
|
| 126 |
+
idna==3.10
|
| 127 |
+
ipykernel==6.29.5
|
| 128 |
+
ipython==8.27.0
|
| 129 |
+
ipython-genutils==0.2.0
|
| 130 |
+
ipywidgets==8.1.5
|
| 131 |
+
isoduration==20.11.0
|
| 132 |
+
jedi==0.19.1
|
| 133 |
+
json5==0.9.25
|
| 134 |
+
jsonpointer==3.0.0
|
| 135 |
+
jsonschema==4.23.0
|
| 136 |
+
jsonschema-specifications==2023.12.1
|
| 137 |
+
jupyter-archive==3.4.0
|
| 138 |
+
jupyter_contrib_core==0.4.2
|
| 139 |
+
jupyter_contrib_nbextensions==0.7.0
|
| 140 |
+
jupyter_core==5.7.2
|
| 141 |
+
jupyter-events==0.10.0
|
| 142 |
+
jupyter-highlight-selected-word==0.2.0
|
| 143 |
+
jupyter-lsp==2.2.5
|
| 144 |
+
jupyter_nbextensions_configurator==0.6.4
|
| 145 |
+
jupyter_server==2.14.2
|
| 146 |
+
jupyter_server_terminals==0.5.3
|
| 147 |
+
jupyterlab==4.2.5
|
| 148 |
+
jupyterlab_pygments==0.3.0
|
| 149 |
+
jupyterlab_server==2.27.3
|
| 150 |
+
jupyterlab_widgets==3.0.13
|
| 151 |
+
lxml==5.3.0
|
| 152 |
+
matplotlib-inline==0.1.7
|
| 153 |
+
mistune==3.0.2
|
| 154 |
+
nbclient==0.10.0
|
| 155 |
+
nbconvert==7.16.4
|
| 156 |
+
nbformat==5.10.4
|
| 157 |
+
nest-asyncio==1.6.0
|
| 158 |
+
notebook_shim==0.2.4
|
| 159 |
+
overrides==7.7.0
|
| 160 |
+
packaging==24.1
|
| 161 |
+
pandocfilters==1.5.1
|
| 162 |
+
parso==0.8.4
|
| 163 |
+
pexpect==4.9.0
|
| 164 |
+
platformdirs==4.3.6
|
| 165 |
+
prometheus_client==0.21.0
|
| 166 |
+
prompt_toolkit==3.0.47
|
| 167 |
+
psutil==6.0.0
|
| 168 |
+
ptyprocess==0.7.0
|
| 169 |
+
pure_eval==0.2.3
|
| 170 |
+
pycparser==2.22
|
| 171 |
+
Pygments==2.18.0
|
| 172 |
+
python-dateutil==2.9.0.post0
|
| 173 |
+
python-json-logger==2.0.7
|
| 174 |
+
referencing==0.35.1
|
| 175 |
+
requests==2.32.3
|
| 176 |
+
rfc3339-validator==0.1.4
|
| 177 |
+
rfc3986-validator==0.1.1
|
| 178 |
+
rpds-py==0.20.0
|
| 179 |
+
sniffio==1.3.1
|
| 180 |
+
soupsieve==2.6
|
| 181 |
+
stack-data==0.6.3
|
| 182 |
+
terminado==0.18.1
|
| 183 |
+
tinycss2==1.3.0
|
| 184 |
+
tornado==6.4.1
|
| 185 |
+
traitlets==5.14.3
|
| 186 |
+
types-python-dateutil==2.9.0.20240906
|
| 187 |
+
uri-template==1.3.0
|
| 188 |
+
urllib3==2.2.3
|
| 189 |
+
wcwidth==0.2.13
|
| 190 |
+
webcolors==24.8.0
|
| 191 |
+
webencodings==0.5.1
|
| 192 |
+
websocket-client==1.8.0
|
| 193 |
+
widgetsnbextension==4.0.13
|
| 194 |
+
Jinja2==3.1.3
|
| 195 |
+
MarkupSafe==2.1.5
|
| 196 |
+
filelock==3.13.1
|
| 197 |
+
fsspec==2024.2.0
|
| 198 |
+
mpmath==1.3.0
|
| 199 |
+
networkx==3.2.1
|
| 200 |
+
nvidia-cublas-cu12==12.4.2.65
|
| 201 |
+
nvidia-cuda-cupti-cu12==12.4.99
|
| 202 |
+
nvidia-cuda-nvrtc-cu12==12.4.99
|
| 203 |
+
nvidia-cuda-runtime-cu12==12.4.99
|
| 204 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 205 |
+
nvidia-cufft-cu12==11.2.0.44
|
| 206 |
+
nvidia-curand-cu12==10.3.5.119
|
| 207 |
+
nvidia-cusolver-cu12==11.6.0.99
|
| 208 |
+
nvidia-cusparse-cu12==12.3.0.142
|
| 209 |
+
nvidia-nccl-cu12==2.20.5
|
| 210 |
+
nvidia-nvjitlink-cu12==12.4.99
|
| 211 |
+
nvidia-nvtx-cu12==12.4.99
|
| 212 |
+
pillow==10.2.0
|
| 213 |
+
sympy==1.12
|
| 214 |
+
torch==2.4.1+cu124
|
| 215 |
+
torchaudio==2.4.1+cu124
|
| 216 |
+
torchvision==0.19.1+cu124
|
| 217 |
+
triton==3.0.0
|
| 218 |
+
pip==24.2
|
| 219 |
+
setuptools==75.1.0
|
| 220 |
+
wheel==0.44.0
|
| 221 |
+
PyGObject==3.42.1
|
| 222 |
+
PyJWT==2.3.0
|
| 223 |
+
SecretStorage==3.3.1
|
| 224 |
+
blinker==1.4
|
| 225 |
+
cryptography==3.4.8
|
| 226 |
+
dbus-python==1.2.18
|
| 227 |
+
distro==1.7.0
|
| 228 |
+
httplib2==0.20.2
|
| 229 |
+
importlib-metadata==4.6.4
|
| 230 |
+
jeepney==0.7.1
|
| 231 |
+
keyring==23.5.0
|
| 232 |
+
launchpadlib==1.10.16
|
| 233 |
+
lazr.restfulclient==0.14.4
|
| 234 |
+
lazr.uri==1.0.6
|
| 235 |
+
more-itertools==8.10.0
|
| 236 |
+
oauthlib==3.2.0
|
| 237 |
+
python-apt==2.4.0+ubuntu4
|
| 238 |
+
six==1.16.0
|
| 239 |
+
wadllib==1.3.6
|
| 240 |
+
zipp==1.0.0
|
| 241 |
+
autocommand==2.2.2
|
| 242 |
+
backports.tarfile==1.2.0
|
| 243 |
+
importlib_metadata==8.0.0
|
| 244 |
+
importlib_resources==6.4.0
|
| 245 |
+
inflect==7.3.1
|
| 246 |
+
jaraco.collections==5.1.0
|
| 247 |
+
jaraco.context==5.3.0
|
| 248 |
+
jaraco.functools==4.0.1
|
| 249 |
+
jaraco.text==3.12.1
|
| 250 |
+
more-itertools==10.3.0
|
| 251 |
+
packaging==24.1
|
| 252 |
+
platformdirs==4.2.2
|
| 253 |
+
tomli==2.0.1
|
| 254 |
+
typeguard==4.3.0
|
| 255 |
+
typing_extensions==4.12.2
|
| 256 |
+
wheel==0.43.0
|
| 257 |
+
zipp==3.19.2
|
LlamaFactory/wandb/run-20260205_024315-zvjq5754/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.5.0-45-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.11.10",
|
| 4 |
+
"startedAt": "2026-02-05T02:43:15.345218Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"/workspace/v127rc_exp1/B_mul.yaml"
|
| 7 |
+
],
|
| 8 |
+
"program": "/usr/local/bin/llamafactory-cli",
|
| 9 |
+
"git": {
|
| 10 |
+
"remote": "https://github.com/hiyouga/LlamaFactory.git",
|
| 11 |
+
"commit": "1a02717fa84c270d1c156c4c4a391c2f95525a63"
|
| 12 |
+
},
|
| 13 |
+
"email": "markmochi200@gmail.com",
|
| 14 |
+
"root": "/workspace/LlamaFactory",
|
| 15 |
+
"host": "aac78e9f96d6",
|
| 16 |
+
"executable": "/usr/bin/python",
|
| 17 |
+
"cpu_count": 24,
|
| 18 |
+
"cpu_count_logical": 48,
|
| 19 |
+
"gpu": "NVIDIA GeForce RTX 4090",
|
| 20 |
+
"gpu_count": 1,
|
| 21 |
+
"disk": {
|
| 22 |
+
"/": {
|
| 23 |
+
"total": "21474836480",
|
| 24 |
+
"used": "2532245504"
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"memory": {
|
| 28 |
+
"total": "270095220736"
|
| 29 |
+
},
|
| 30 |
+
"gpu_nvidia": [
|
| 31 |
+
{
|
| 32 |
+
"name": "NVIDIA GeForce RTX 4090",
|
| 33 |
+
"memoryTotal": "25757220864",
|
| 34 |
+
"cudaCores": 16384,
|
| 35 |
+
"architecture": "Ada",
|
| 36 |
+
"uuid": "GPU-e976cc69-65b4-6c21-059f-e293b12f21b0"
|
| 37 |
+
}
|
| 38 |
+
],
|
| 39 |
+
"cudaVersion": "12.4",
|
| 40 |
+
"writerId": "qv5hxlnjyijt45h1hirthpvj46z6i895"
|
| 41 |
+
}
|
LlamaFactory/wandb/run-20260205_024315-zvjq5754/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"train/learning_rate":4.116093577088975e-15,"train/train_tokens_per_second":1972.905,"_runtime":183302,"train/grad_norm":1.8340671062469482,"_step":176660,"_timestamp":1.7704426938110843e+09,"train_steps_per_second":0.964,"train_loss":0.33225888585165475,"train/global_step":176660,"train/loss":0.3242933750152588,"total_flos":1.6516160437296538e+19,"train_samples_per_second":0.964,"_wandb":{"runtime":183302},"train/num_input_tokens_seen":361623020,"train/epoch":5,"train_runtime":183298.9789}
|
LlamaFactory/wandb/run-20260205_024315-zvjq5754/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-02-05T02:43:15.615961908Z","level":"INFO","msg":"stream: starting","core version":"0.24.2"}
|
| 2 |
+
{"time":"2026-02-05T02:43:15.950222194Z","level":"INFO","msg":"stream: created new stream","id":"zvjq5754"}
|
| 3 |
+
{"time":"2026-02-05T02:43:15.95079635Z","level":"INFO","msg":"handler: started","stream_id":"zvjq5754"}
|
| 4 |
+
{"time":"2026-02-05T02:43:15.953439954Z","level":"INFO","msg":"stream: started","id":"zvjq5754"}
|
| 5 |
+
{"time":"2026-02-05T02:43:15.953486855Z","level":"INFO","msg":"writer: started","stream_id":"zvjq5754"}
|
| 6 |
+
{"time":"2026-02-05T02:43:15.953538277Z","level":"INFO","msg":"sender: started","stream_id":"zvjq5754"}
|
| 7 |
+
{"time":"2026-02-07T05:38:19.134362036Z","level":"INFO","msg":"stream: closing","id":"zvjq5754"}
|
| 8 |
+
{"time":"2026-02-07T05:38:21.814636279Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 9 |
+
{"time":"2026-02-07T05:38:22.180939303Z","level":"INFO","msg":"handler: closed","stream_id":"zvjq5754"}
|
| 10 |
+
{"time":"2026-02-07T05:38:22.184153269Z","level":"INFO","msg":"sender: closed","stream_id":"zvjq5754"}
|
| 11 |
+
{"time":"2026-02-07T05:38:22.184551619Z","level":"INFO","msg":"stream: closed","id":"zvjq5754"}
|
LlamaFactory/wandb/run-20260205_024315-zvjq5754/logs/debug.log
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
2026-02-05 02:43:15,370 INFO MainThread:2144 [wandb_setup.py:_flush():81] Current SDK version is 0.24.2
|
| 2 |
+
2026-02-05 02:43:15,370 INFO MainThread:2144 [wandb_setup.py:_flush():81] Configure stats pid to 2144
|
| 3 |
+
2026-02-05 02:43:15,370 INFO MainThread:2144 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-02-05 02:43:15,371 INFO MainThread:2144 [wandb_init.py:setup_run_log_directory():717] Logging user logs to /workspace/LlamaFactory/wandb/run-20260205_024315-zvjq5754/logs/debug.log
|
| 5 |
+
2026-02-05 02:43:15,372 INFO MainThread:2144 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /workspace/LlamaFactory/wandb/run-20260205_024315-zvjq5754/logs/debug-internal.log
|
| 6 |
+
2026-02-05 02:43:15,373 INFO MainThread:2144 [wandb_init.py:init():844] calling init triggers
|
| 7 |
+
2026-02-05 02:43:15,373 INFO MainThread:2144 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'_wandb': {}}
|
| 9 |
+
2026-02-05 02:43:15,374 INFO MainThread:2144 [wandb_init.py:init():892] starting backend
|
| 10 |
+
2026-02-05 02:43:15,598 INFO MainThread:2144 [wandb_init.py:init():895] sending inform_init request
|
| 11 |
+
2026-02-05 02:43:15,612 INFO MainThread:2144 [wandb_init.py:init():903] backend started and connected
|
| 12 |
+
2026-02-05 02:43:15,615 INFO MainThread:2144 [wandb_init.py:init():973] updated telemetry
|
| 13 |
+
2026-02-05 02:43:15,665 INFO MainThread:2144 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-02-05 02:43:16,280 INFO MainThread:2144 [wandb_init.py:init():1042] starting run threads in backend
|
| 15 |
+
2026-02-05 02:43:16,427 INFO MainThread:2144 [wandb_run.py:_console_start():2529] atexit reg
|
| 16 |
+
2026-02-05 02:43:16,428 INFO MainThread:2144 [wandb_run.py:_redirect():2377] redirect: wrap_raw
|
| 17 |
+
2026-02-05 02:43:16,428 INFO MainThread:2144 [wandb_run.py:_redirect():2446] Wrapping output streams.
|
| 18 |
+
2026-02-05 02:43:16,429 INFO MainThread:2144 [wandb_run.py:_redirect():2469] Redirects installed.
|
| 19 |
+
2026-02-05 02:43:16,431 INFO MainThread:2144 [wandb_init.py:init():1082] run started, returning control to user process
|
| 20 |
+
2026-02-05 02:43:16,432 INFO MainThread:2144 [wandb_run.py:_config_callback():1404] config_cb None None {'peft_config': {'default': {'task_type': 'CAUSAL_LM', 'peft_type': 'LORA', 'auto_mapping': None, 'peft_version': '0.18.1', 'base_model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': ['down_proj', 'gate_proj', 'v_proj', 'o_proj', 'up_proj', 'k_proj', 'q_proj'], 'exclude_modules': None, 'lora_alpha': 32, 'lora_dropout': 0.03, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'alora_invocation_tokens': None, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False, 'target_parameters': None, 'arrow_config': None, 'ensure_weight_tying': False}}, 'vocab_size': 151936, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 12288, 'num_hidden_layers': 36, 'num_attention_heads': 32, 'use_sliding_window': False, 'sliding_window': None, 'max_window_layers': 36, 'num_key_value_heads': 8, 'head_dim': 128, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'attention_bias': False, 'attention_dropout': 0.0, 'layer_types': ['full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention'], 'pad_token_id': 151643, 'bos_token_id': None, 'eos_token_id': 151645, 'tie_word_embeddings': False, 'rope_parameters': {'rope_theta': 1000000, 'rope_type': 'default'}, 'return_dict': True, 'output_hidden_states': False, 'dtype': 'bfloat16', 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'architectures': ['Qwen3ForCausalLM'], 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, '_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'transformers_version': '5.0.0', 'model_type': 'qwen3', 'output_attentions': False, 'output_dir': '/workspace/v127rc_exp1/B_mul', 'do_train': True, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 1, 'per_device_eval_batch_size': 8, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0, 'adam_beta1': 0.9, 'adam_beta2': 0.95, 'adam_epsilon': 1e-08, 'max_grad_norm': 1, 'num_train_epochs': 5, 'max_steps': -1, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': None, 'warmup_ratio': 0.02, 'warmup_steps': 0.02, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': None, 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 1000, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'use_cpu': False, 'seed': 42, 'data_seed': None, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': -1, 'ddp_backend': None, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': ['labels'], 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'auto_find_batch_size': False, 'full_determinism': False, 'ddp_timeout': 180000000, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_num_input_tokens_seen': 'all', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'sortish_sampler': False, 'predict_with_generate': False, 'generation_max_length': 2047, 'generation_num_beams': None, 'generation_config': None, 'ray_num_workers': 1, 'ray_init_kwargs': None, 'master_addr': None, 'master_port': None, 'fp8': False, 'fp8_backend': 'auto', 'fp8_enable_fsdp_float8_all_gather': False, 'overwrite_output_dir': False}
|
| 21 |
+
2026-02-05 02:43:16,441 INFO MainThread:2144 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 8234382336 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x75449dcbca90>>
|
| 22 |
+
2026-02-05 02:43:16,441 INFO MainThread:2144 [wandb_run.py:_config_callback():1404] config_cb model/num_parameters 8234382336 None
|
| 23 |
+
2026-02-05 02:43:16,444 INFO MainThread:2144 [wandb_run.py:_config_callback():1404] config_cb None None {'model_args': {'model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'adapter_name_or_path': None, 'adapter_folder': None, 'cache_dir': None, 'use_fast_tokenizer': True, 'resize_vocab': False, 'split_special_tokens': False, 'add_tokens': None, 'add_special_tokens': None, 'new_special_tokens_config': None, 'init_special_tokens': 'noise_init', 'model_revision': 'main', 'low_cpu_mem_usage': True, 'rope_scaling': None, 'flash_attn': 'auto', 'shift_attn': False, 'mixture_of_depths': None, 'use_unsloth': False, 'use_unsloth_gc': False, 'enable_liger_kernel': False, 'moe_aux_loss_coef': None, 'disable_gradient_checkpointing': False, 'use_reentrant_gc': True, 'upcast_layernorm': False, 'upcast_lmhead_output': False, 'train_from_scratch': False, 'infer_backend': 'HF', 'offload_folder': 'offload', 'use_kv_cache': True, 'use_v1_kernels': False, 'infer_dtype': 'auto', 'hf_hub_token': '<HF_HUB_TOKEN>', 'ms_hub_token': '<MS_HUB_TOKEN>', 'om_hub_token': '<OM_HUB_TOKEN>', 'print_param_status': False, 'trust_remote_code': True, 'quantization_method': 'BNB', 'quantization_bit': None, 'quantization_type': 'nf4', 'double_quantization': True, 'quantization_device_map': None, 'image_max_pixels': 589824, 'image_min_pixels': 1024, 'image_do_pan_and_scan': False, 'crop_to_patches': False, 'video_max_pixels': 65536, 'video_min_pixels': 256, 'video_fps': 2.0, 'video_maxlen': 128, 'use_audio_in_video': False, 'audio_sampling_rate': 16000, 'export_dir': None, 'export_size': 5, 'export_device': 'cpu', 'export_quantization_bit': None, 'export_quantization_dataset': None, 'export_quantization_nsamples': 128, 'export_quantization_maxlen': 1024, 'export_legacy_format': False, 'export_hub_model_id': None, 'use_kt': False, 'kt_optimize_rule': None, 'cpu_infer': 32, 'chunk_size': 8192, 'mode': 'normal', 'kt_maxlen': 4096, 'kt_use_cuda_graph': True, 'kt_mode': 'normal', 'kt_force_think': False, 'vllm_maxlen': 4096, 'vllm_gpu_util': 0.7, 'vllm_enforce_eager': False, 'vllm_max_lora_rank': 32, 'vllm_config': None, 'sglang_maxlen': 4096, 'sglang_mem_fraction': 0.7, 'sglang_tp_size': -1, 'sglang_config': None, 'sglang_lora_backend': 'triton', 'compute_dtype': 'torch.bfloat16', 'device_map': {'': 'cuda:0'}, 'model_max_length': 2047, 'block_diag_attn': False}, 'data_args': {'template': 'qwen3_nothink', 'dataset': ['Markie_Voss_t35_d0_r286'], 'eval_dataset': None, 'dataset_dir': '/workspace/LlamaFactory/data', 'media_dir': '/workspace/LlamaFactory/data', 'cutoff_len': 2047, 'train_on_prompt': False, 'mask_history': False, 'streaming': False, 'buffer_size': 16384, 'mix_strategy': 'concat', 'interleave_probs': None, 'overwrite_cache': False, 'preprocessing_batch_size': 1000, 'preprocessing_num_workers': 16, 'max_samples': 100000000, 'eval_num_beams': None, 'ignore_pad_token_for_loss': True, 'val_size': 0.0, 'eval_on_each_dataset': False, 'packing': True, 'neat_packing': False, 'tool_format': None, 'default_system': None, 'enable_thinking': False, 'tokenized_path': None, 'data_shared_file_system': False}, 'finetuning_args': {'freeze_trainable_layers': 2, 'freeze_trainable_modules': ['all'], 'freeze_extra_modules': None, 'additional_target': None, 'module_dropout': 0.0, 'oft_rank': 0, 'oft_block_size': 32, 'oft_target': ['all'], 'create_new_adapter': False, 'lora_alpha': 32, 'lora_dropout': 0.03, 'lora_rank': 16, 'lora_target': ['all'], 'loraplus_lr_ratio': None, 'loraplus_lr_embedding': 1e-06, 'use_rslora': False, 'use_dora': False, 'pissa_init': False, 'pissa_iter': 16, 'pissa_convert': False, 'pref_beta': 0.1, 'pref_ftx': 0.0, 'pref_bco_weight': 0.0, 'pref_loss': 'sigmoid', 'dpo_label_smoothing': 0.0, 'kto_chosen_weight': 1.0, 'kto_rejected_weight': 1.0, 'simpo_gamma': 0.5, 'ppo_buffer_size': 1, 'ppo_epochs': 4, 'ppo_score_norm': False, 'ppo_target': 6.0, 'ppo_whiten_rewards': False, 'ref_model': None, 'ref_model_adapters': None, 'ref_model_quantization_bit': None, 'reward_model': None, 'reward_model_adapters': None, 'reward_model_quantization_bit': None, 'reward_model_type': 'lora', 'ld_alpha': None, 'use_galore': False, 'galore_target': ['all'], 'galore_rank': 16, 'galore_update_interval': 200, 'galore_scale': 2.0, 'galore_proj_type': 'std', 'galore_layerwise': False, 'use_apollo': False, 'apollo_target': ['all'], 'apollo_rank': 16, 'apollo_update_interval': 200, 'apollo_scale': 32.0, 'apollo_proj': 'random', 'apollo_proj_type': 'std', 'apollo_scale_type': 'channel', 'apollo_layerwise': False, 'apollo_scale_front': False, 'use_badam': False, 'badam_mode': 'layer', 'badam_start_block': None, 'badam_switch_mode': 'ascending', 'badam_switch_interval': 50, 'badam_update_ratio': 0.05, 'badam_mask_mode': 'adjacent', 'badam_verbose': 0, 'use_swanlab': False, 'swanlab_project': 'llamafactory', 'swanlab_workspace': None, 'swanlab_run_name': None, 'swanlab_mode': 'cloud', 'swanlab_api_key': '<SWANLAB_API_KEY>', 'swanlab_logdir': None, 'swanlab_lark_webhook_url': None, 'swanlab_lark_secret': None, 'pure_bf16': False, 'stage': 'pt', 'finetuning_type': 'lora', 'use_llama_pro': False, 'use_adam_mini': False, 'use_mca': False, 'use_muon': False, 'use_dft_loss': False, 'use_eaft_loss': False, 'eaft_alpha': 1.0, 'freeze_vision_tower': True, 'freeze_multi_modal_projector': True, 'freeze_language_model': False, 'compute_accuracy': False, 'disable_shuffling': False, 'early_stopping_steps': None, 'plot_loss': True, 'include_effective_tokens_per_second': False}, 'generating_args': {'do_sample': True, 'temperature': 0.95, 'top_p': 0.7, 'top_k': 50, 'num_beams': 1, 'max_new_tokens': 1024, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'skip_special_tokens': True}}
|
| 24 |
+
2026-02-07 05:38:19,134 INFO wandb-AsyncioManager-main:2144 [service_client.py:_forward_responses():94] Reached EOF.
|
| 25 |
+
2026-02-07 05:38:19,135 INFO wandb-AsyncioManager-main:2144 [mailbox.py:close():154] Closing mailbox, abandoning 1 handles.
|
LlamaFactory/wandb/run-20260205_074020-s91zw8js/files/config.yaml
ADDED
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@@ -0,0 +1,723 @@
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: /workspace/Qwen/Qwen3-8B-Base
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.24.2
|
| 6 |
+
e:
|
| 7 |
+
qggzf6e4qf9vgtbvttkcenmdoze5458m:
|
| 8 |
+
args:
|
| 9 |
+
- /workspace/v127rc_exp1/E_mup.yaml
|
| 10 |
+
cpu_count: 16
|
| 11 |
+
cpu_count_logical: 32
|
| 12 |
+
cudaVersion: "12.7"
|
| 13 |
+
disk:
|
| 14 |
+
/:
|
| 15 |
+
total: "21474836480"
|
| 16 |
+
used: "2479427584"
|
| 17 |
+
email: markmochi200@gmail.com
|
| 18 |
+
executable: /usr/bin/python
|
| 19 |
+
git:
|
| 20 |
+
commit: 1a02717fa84c270d1c156c4c4a391c2f95525a63
|
| 21 |
+
remote: https://github.com/hiyouga/LlamaFactory.git
|
| 22 |
+
gpu: NVIDIA GeForce RTX 4090
|
| 23 |
+
gpu_count: 1
|
| 24 |
+
gpu_nvidia:
|
| 25 |
+
- architecture: Ada
|
| 26 |
+
cudaCores: 16384
|
| 27 |
+
memoryTotal: "25757220864"
|
| 28 |
+
name: NVIDIA GeForce RTX 4090
|
| 29 |
+
uuid: GPU-ceaf5bb7-0aeb-5000-346c-08e2d1143c3c
|
| 30 |
+
host: d74c94898fdd
|
| 31 |
+
memory:
|
| 32 |
+
total: "201668009984"
|
| 33 |
+
os: Linux-6.8.0-52-generic-x86_64-with-glibc2.35
|
| 34 |
+
program: /usr/local/bin/llamafactory-cli
|
| 35 |
+
python: CPython 3.11.10
|
| 36 |
+
root: /workspace/LlamaFactory
|
| 37 |
+
startedAt: "2026-02-05T07:40:20.662178Z"
|
| 38 |
+
writerId: qggzf6e4qf9vgtbvttkcenmdoze5458m
|
| 39 |
+
m:
|
| 40 |
+
- "1": train/global_step
|
| 41 |
+
"6":
|
| 42 |
+
- 3
|
| 43 |
+
"7": []
|
| 44 |
+
- "2": '*'
|
| 45 |
+
"5": 1
|
| 46 |
+
"6":
|
| 47 |
+
- 1
|
| 48 |
+
"7": []
|
| 49 |
+
python_version: 3.11.10
|
| 50 |
+
t:
|
| 51 |
+
"1":
|
| 52 |
+
- 1
|
| 53 |
+
- 11
|
| 54 |
+
- 41
|
| 55 |
+
- 49
|
| 56 |
+
- 51
|
| 57 |
+
- 71
|
| 58 |
+
- 84
|
| 59 |
+
- 98
|
| 60 |
+
- 105
|
| 61 |
+
"2":
|
| 62 |
+
- 1
|
| 63 |
+
- 11
|
| 64 |
+
- 41
|
| 65 |
+
- 49
|
| 66 |
+
- 51
|
| 67 |
+
- 71
|
| 68 |
+
- 84
|
| 69 |
+
- 98
|
| 70 |
+
- 105
|
| 71 |
+
"3":
|
| 72 |
+
- 7
|
| 73 |
+
- 19
|
| 74 |
+
- 62
|
| 75 |
+
- 66
|
| 76 |
+
"4": 3.11.10
|
| 77 |
+
"5": 0.24.2
|
| 78 |
+
"6": 5.0.0
|
| 79 |
+
"9":
|
| 80 |
+
"1": transformers_trainer
|
| 81 |
+
"12": 0.24.2
|
| 82 |
+
"13": linux-x86_64
|
| 83 |
+
accelerator_config:
|
| 84 |
+
value:
|
| 85 |
+
dispatch_batches: null
|
| 86 |
+
even_batches: true
|
| 87 |
+
gradient_accumulation_kwargs: null
|
| 88 |
+
non_blocking: false
|
| 89 |
+
split_batches: false
|
| 90 |
+
use_seedable_sampler: true
|
| 91 |
+
adam_beta1:
|
| 92 |
+
value: 0.9
|
| 93 |
+
adam_beta2:
|
| 94 |
+
value: 0.95
|
| 95 |
+
adam_epsilon:
|
| 96 |
+
value: 1e-08
|
| 97 |
+
architectures:
|
| 98 |
+
value:
|
| 99 |
+
- Qwen3ForCausalLM
|
| 100 |
+
attention_bias:
|
| 101 |
+
value: false
|
| 102 |
+
attention_dropout:
|
| 103 |
+
value: 0
|
| 104 |
+
auto_find_batch_size:
|
| 105 |
+
value: false
|
| 106 |
+
average_tokens_across_devices:
|
| 107 |
+
value: true
|
| 108 |
+
batch_eval_metrics:
|
| 109 |
+
value: false
|
| 110 |
+
bf16:
|
| 111 |
+
value: true
|
| 112 |
+
bf16_full_eval:
|
| 113 |
+
value: false
|
| 114 |
+
bos_token_id:
|
| 115 |
+
value: null
|
| 116 |
+
chunk_size_feed_forward:
|
| 117 |
+
value: 0
|
| 118 |
+
data_args:
|
| 119 |
+
value:
|
| 120 |
+
buffer_size: 16384
|
| 121 |
+
cutoff_len: 2047
|
| 122 |
+
data_shared_file_system: false
|
| 123 |
+
dataset:
|
| 124 |
+
- Markie_Voss_t119_d85_r1
|
| 125 |
+
dataset_dir: /workspace/LlamaFactory/data
|
| 126 |
+
default_system: null
|
| 127 |
+
enable_thinking: false
|
| 128 |
+
eval_dataset: null
|
| 129 |
+
eval_num_beams: null
|
| 130 |
+
eval_on_each_dataset: false
|
| 131 |
+
ignore_pad_token_for_loss: true
|
| 132 |
+
interleave_probs: null
|
| 133 |
+
mask_history: false
|
| 134 |
+
max_samples: 100000000
|
| 135 |
+
media_dir: /workspace/LlamaFactory/data
|
| 136 |
+
mix_strategy: concat
|
| 137 |
+
neat_packing: false
|
| 138 |
+
overwrite_cache: false
|
| 139 |
+
packing: true
|
| 140 |
+
preprocessing_batch_size: 1000
|
| 141 |
+
preprocessing_num_workers: 16
|
| 142 |
+
streaming: false
|
| 143 |
+
template: qwen3_nothink
|
| 144 |
+
tokenized_path: null
|
| 145 |
+
tool_format: null
|
| 146 |
+
train_on_prompt: false
|
| 147 |
+
val_size: 0
|
| 148 |
+
data_seed:
|
| 149 |
+
value: null
|
| 150 |
+
dataloader_drop_last:
|
| 151 |
+
value: false
|
| 152 |
+
dataloader_num_workers:
|
| 153 |
+
value: 0
|
| 154 |
+
dataloader_persistent_workers:
|
| 155 |
+
value: false
|
| 156 |
+
dataloader_pin_memory:
|
| 157 |
+
value: true
|
| 158 |
+
dataloader_prefetch_factor:
|
| 159 |
+
value: null
|
| 160 |
+
ddp_backend:
|
| 161 |
+
value: null
|
| 162 |
+
ddp_broadcast_buffers:
|
| 163 |
+
value: null
|
| 164 |
+
ddp_bucket_cap_mb:
|
| 165 |
+
value: null
|
| 166 |
+
ddp_find_unused_parameters:
|
| 167 |
+
value: null
|
| 168 |
+
ddp_timeout:
|
| 169 |
+
value: 180000000
|
| 170 |
+
debug:
|
| 171 |
+
value: []
|
| 172 |
+
deepspeed:
|
| 173 |
+
value: null
|
| 174 |
+
disable_tqdm:
|
| 175 |
+
value: false
|
| 176 |
+
do_eval:
|
| 177 |
+
value: false
|
| 178 |
+
do_predict:
|
| 179 |
+
value: false
|
| 180 |
+
do_train:
|
| 181 |
+
value: true
|
| 182 |
+
dtype:
|
| 183 |
+
value: bfloat16
|
| 184 |
+
enable_jit_checkpoint:
|
| 185 |
+
value: false
|
| 186 |
+
eos_token_id:
|
| 187 |
+
value: 151645
|
| 188 |
+
eval_accumulation_steps:
|
| 189 |
+
value: null
|
| 190 |
+
eval_delay:
|
| 191 |
+
value: 0
|
| 192 |
+
eval_do_concat_batches:
|
| 193 |
+
value: true
|
| 194 |
+
eval_on_start:
|
| 195 |
+
value: false
|
| 196 |
+
eval_steps:
|
| 197 |
+
value: null
|
| 198 |
+
eval_strategy:
|
| 199 |
+
value: "no"
|
| 200 |
+
eval_use_gather_object:
|
| 201 |
+
value: false
|
| 202 |
+
finetuning_args:
|
| 203 |
+
value:
|
| 204 |
+
additional_target: null
|
| 205 |
+
apollo_layerwise: false
|
| 206 |
+
apollo_proj: random
|
| 207 |
+
apollo_proj_type: std
|
| 208 |
+
apollo_rank: 16
|
| 209 |
+
apollo_scale: 32
|
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pissa_init: false
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pissa_iter: 16
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stage: pt
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value: false
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value: auto
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value: false
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value: false
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fp16_full_eval:
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value: false
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value: []
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value:
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xla: false
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value:
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temperature: 0.95
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top_k: 50
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top_p: 0.7
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value: 1
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value: 128
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value: every_save
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value: <HUB_TOKEN>
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value:
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"0": LABEL_0
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"1": LABEL_1
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value: []
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intermediate_size:
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value: false
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label_names:
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value:
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value: 0
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label2id:
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value:
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LABEL_1: 1
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layer_types:
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value:
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value: 5e-05
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value: null
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value: -1
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value: passive
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logging_dir:
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logging_first_step:
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logging_nan_inf_filter:
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value: true
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audio_sampling_rate: 16000
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chunk_size: 8192
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compute_dtype: torch.bfloat16
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cpu_infer: 32
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crop_to_patches: false
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device_map:
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disable_gradient_checkpointing: false
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double_quantization: true
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enable_liger_kernel: false
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export_device: cpu
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export_dir: null
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export_hub_model_id: null
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export_legacy_format: false
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export_quantization_bit: null
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export_quantization_dataset: null
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export_quantization_maxlen: 1024
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export_quantization_nsamples: 128
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export_size: 5
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flash_attn: auto
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hf_hub_token: <HF_HUB_TOKEN>
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image_do_pan_and_scan: false
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image_max_pixels: 589824
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image_min_pixels: 1024
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infer_backend: HF
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infer_dtype: auto
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init_special_tokens: noise_init
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kt_force_think: false
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kt_maxlen: 4096
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kt_mode: normal
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kt_optimize_rule: null
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kt_use_cuda_graph: true
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low_cpu_mem_usage: true
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mixture_of_depths: null
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mode: normal
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model_max_length: 2047
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model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
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model_revision: main
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moe_aux_loss_coef: null
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ms_hub_token: <MS_HUB_TOKEN>
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new_special_tokens_config: null
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offload_folder: offload
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om_hub_token: <OM_HUB_TOKEN>
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print_param_status: false
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quantization_bit: null
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quantization_device_map: null
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quantization_method: BNB
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quantization_type: nf4
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resize_vocab: false
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rope_scaling: null
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sglang_config: null
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sglang_lora_backend: triton
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sglang_maxlen: 4096
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sglang_mem_fraction: 0.7
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sglang_tp_size: -1
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shift_attn: false
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split_special_tokens: false
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train_from_scratch: false
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trust_remote_code: true
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upcast_layernorm: false
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upcast_lmhead_output: false
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use_audio_in_video: false
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use_fast_tokenizer: true
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use_kt: false
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use_kv_cache: true
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use_reentrant_gc: true
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use_unsloth: false
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use_unsloth_gc: false
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use_v1_kernels: false
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video_fps: 2
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video_max_pixels: 65536
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video_maxlen: 128
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video_min_pixels: 256
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vllm_config: null
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vllm_enforce_eager: false
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vllm_gpu_util: 0.7
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vllm_max_lora_rank: 32
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vllm_maxlen: 4096
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model_type:
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| 563 |
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value: qwen3
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neftune_noise_alpha:
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value: null
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| 566 |
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num_attention_heads:
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value: 32
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value: 36
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num_key_value_heads:
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value: 8
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num_train_epochs:
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value: 5
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optim:
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value: adamw_torch
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optim_args:
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optim_target_modules:
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output_attentions:
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output_dir:
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value: /workspace/v127rc_exp1/E_mup
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output_hidden_states:
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overwrite_output_dir:
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parallelism_config:
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value: null
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peft_config:
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value:
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default:
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alora_invocation_tokens: null
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arrow_config: null
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auto_mapping: null
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base_model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
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bias: none
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corda_config: null
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ensure_weight_tying: false
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eva_config: null
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exclude_modules: null
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fan_in_fan_out: false
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inference_mode: false
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init_lora_weights: true
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layer_replication: null
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layers_pattern: null
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layers_to_transform: null
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lora_alpha: 32
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lora_bias: false
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lora_dropout: 0.03
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megatron_config: null
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megatron_core: megatron.core
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modules_to_save: null
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peft_type: LORA
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peft_version: 0.18.1
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qalora_group_size: 16
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r: 16
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revision: null
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runtime_config:
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| 622 |
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ephemeral_gpu_offload: false
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| 623 |
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target_modules:
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| 624 |
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| 625 |
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| 626 |
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| 627 |
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| 628 |
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| 629 |
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target_parameters: null
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task_type: CAUSAL_LM
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trainable_token_indices: null
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+
use_rslora: false
|
| 637 |
+
per_device_eval_batch_size:
|
| 638 |
+
value: 8
|
| 639 |
+
per_device_train_batch_size:
|
| 640 |
+
value: 1
|
| 641 |
+
predict_with_generate:
|
| 642 |
+
value: false
|
| 643 |
+
prediction_loss_only:
|
| 644 |
+
value: false
|
| 645 |
+
problem_type:
|
| 646 |
+
value: null
|
| 647 |
+
project:
|
| 648 |
+
value: huggingface
|
| 649 |
+
push_to_hub:
|
| 650 |
+
value: false
|
| 651 |
+
ray_init_kwargs:
|
| 652 |
+
value: null
|
| 653 |
+
ray_num_workers:
|
| 654 |
+
value: 1
|
| 655 |
+
remove_unused_columns:
|
| 656 |
+
value: false
|
| 657 |
+
report_to:
|
| 658 |
+
value:
|
| 659 |
+
- wandb
|
| 660 |
+
restore_callback_states_from_checkpoint:
|
| 661 |
+
value: false
|
| 662 |
+
resume_from_checkpoint:
|
| 663 |
+
value: null
|
| 664 |
+
return_dict:
|
| 665 |
+
value: true
|
| 666 |
+
rms_norm_eps:
|
| 667 |
+
value: 1e-06
|
| 668 |
+
rope_parameters:
|
| 669 |
+
value:
|
| 670 |
+
rope_theta: 1000000
|
| 671 |
+
rope_type: default
|
| 672 |
+
run_name:
|
| 673 |
+
value: null
|
| 674 |
+
save_on_each_node:
|
| 675 |
+
value: false
|
| 676 |
+
save_only_model:
|
| 677 |
+
value: true
|
| 678 |
+
save_steps:
|
| 679 |
+
value: 1000
|
| 680 |
+
save_strategy:
|
| 681 |
+
value: steps
|
| 682 |
+
save_total_limit:
|
| 683 |
+
value: null
|
| 684 |
+
seed:
|
| 685 |
+
value: 42
|
| 686 |
+
skip_memory_metrics:
|
| 687 |
+
value: true
|
| 688 |
+
sliding_window:
|
| 689 |
+
value: null
|
| 690 |
+
sortish_sampler:
|
| 691 |
+
value: false
|
| 692 |
+
tf32:
|
| 693 |
+
value: null
|
| 694 |
+
tie_word_embeddings:
|
| 695 |
+
value: false
|
| 696 |
+
torch_compile:
|
| 697 |
+
value: false
|
| 698 |
+
torch_compile_backend:
|
| 699 |
+
value: null
|
| 700 |
+
torch_compile_mode:
|
| 701 |
+
value: null
|
| 702 |
+
torch_empty_cache_steps:
|
| 703 |
+
value: null
|
| 704 |
+
trackio_space_id:
|
| 705 |
+
value: trackio
|
| 706 |
+
transformers_version:
|
| 707 |
+
value: 5.0.0
|
| 708 |
+
use_cache:
|
| 709 |
+
value: false
|
| 710 |
+
use_cpu:
|
| 711 |
+
value: false
|
| 712 |
+
use_liger_kernel:
|
| 713 |
+
value: false
|
| 714 |
+
use_sliding_window:
|
| 715 |
+
value: false
|
| 716 |
+
vocab_size:
|
| 717 |
+
value: 151936
|
| 718 |
+
warmup_ratio:
|
| 719 |
+
value: 0.02
|
| 720 |
+
warmup_steps:
|
| 721 |
+
value: 0.02
|
| 722 |
+
weight_decay:
|
| 723 |
+
value: 0
|
LlamaFactory/wandb/run-20260205_074020-s91zw8js/files/requirements.txt
ADDED
|
@@ -0,0 +1,257 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pytz==2025.2
|
| 2 |
+
pydub==0.25.1
|
| 3 |
+
brotli==1.2.0
|
| 4 |
+
antlr4-python3-runtime==4.9.3
|
| 5 |
+
xxhash==3.6.0
|
| 6 |
+
websockets==15.0.1
|
| 7 |
+
tzdata==2025.3
|
| 8 |
+
typing_extensions==4.15.0
|
| 9 |
+
tqdm==4.67.3
|
| 10 |
+
tomlkit==0.13.3
|
| 11 |
+
termcolor==3.3.0
|
| 12 |
+
shtab==1.8.0
|
| 13 |
+
shellingham==1.5.4
|
| 14 |
+
sentencepiece==0.2.1
|
| 15 |
+
semantic-version==2.10.0
|
| 16 |
+
safetensors==0.7.0
|
| 17 |
+
ruff==0.15.0
|
| 18 |
+
regex==2026.1.15
|
| 19 |
+
python-multipart==0.0.22
|
| 20 |
+
pyparsing==3.3.2
|
| 21 |
+
pyarrow==23.0.0
|
| 22 |
+
protobuf==6.33.5
|
| 23 |
+
propcache==0.4.1
|
| 24 |
+
orjson==3.11.7
|
| 25 |
+
omegaconf==2.3.0
|
| 26 |
+
numpy==2.4.2
|
| 27 |
+
multidict==6.7.1
|
| 28 |
+
mdurl==0.1.2
|
| 29 |
+
kiwisolver==1.4.9
|
| 30 |
+
hf-xet==1.2.0
|
| 31 |
+
hf_transfer==0.1.9
|
| 32 |
+
groovy==0.1.2
|
| 33 |
+
frozenlist==1.8.0
|
| 34 |
+
fonttools==4.61.1
|
| 35 |
+
ffmpy==1.0.0
|
| 36 |
+
einops==0.8.2
|
| 37 |
+
docstring_parser==0.17.0
|
| 38 |
+
dill==0.3.8
|
| 39 |
+
cycler==0.12.1
|
| 40 |
+
click==8.3.1
|
| 41 |
+
av==16.0.0
|
| 42 |
+
annotated-types==0.7.0
|
| 43 |
+
annotated-doc==0.0.4
|
| 44 |
+
aiohappyeyeballs==2.6.1
|
| 45 |
+
aiofiles==24.1.0
|
| 46 |
+
yarl==1.22.0
|
| 47 |
+
uvicorn==0.40.0
|
| 48 |
+
typing-inspection==0.4.2
|
| 49 |
+
typer-slim==0.21.1
|
| 50 |
+
tiktoken==0.12.0
|
| 51 |
+
scipy==1.17.0
|
| 52 |
+
pydantic_core==2.41.4
|
| 53 |
+
pandas==2.3.3
|
| 54 |
+
multiprocess==0.70.16
|
| 55 |
+
modelscope==1.34.0
|
| 56 |
+
markdown-it-py==4.0.0
|
| 57 |
+
fire==0.7.1
|
| 58 |
+
contourpy==1.3.3
|
| 59 |
+
anyio==4.12.1
|
| 60 |
+
aiosignal==1.4.0
|
| 61 |
+
starlette==0.50.0
|
| 62 |
+
rich==14.3.2
|
| 63 |
+
pydantic==2.12.3
|
| 64 |
+
matplotlib==3.10.8
|
| 65 |
+
aiohttp==3.13.3
|
| 66 |
+
tyro==0.8.14
|
| 67 |
+
typer==0.21.1
|
| 68 |
+
torchdata==0.11.0
|
| 69 |
+
sse-starlette==3.2.0
|
| 70 |
+
safehttpx==0.1.7
|
| 71 |
+
huggingface_hub==1.4.0
|
| 72 |
+
fastapi==0.128.1
|
| 73 |
+
tokenizers==0.22.2
|
| 74 |
+
gradio_client==1.14.0
|
| 75 |
+
datasets==4.0.0
|
| 76 |
+
accelerate==1.11.0
|
| 77 |
+
transformers==5.0.0
|
| 78 |
+
gradio==5.50.0
|
| 79 |
+
trl==0.24.0
|
| 80 |
+
peft==0.18.1
|
| 81 |
+
llamafactory==0.9.5.dev0
|
| 82 |
+
jieba==0.42.1
|
| 83 |
+
rouge-chinese==1.0.3
|
| 84 |
+
joblib==1.5.3
|
| 85 |
+
nltk==3.9.2
|
| 86 |
+
py-cpuinfo==9.0.0
|
| 87 |
+
nvidia-ml-py==13.590.48
|
| 88 |
+
hjson==3.1.0
|
| 89 |
+
ninja==1.13.0
|
| 90 |
+
msgpack==1.1.2
|
| 91 |
+
deepspeed==0.16.9
|
| 92 |
+
smmap==5.0.2
|
| 93 |
+
sentry-sdk==2.52.0
|
| 94 |
+
gitdb==4.0.12
|
| 95 |
+
GitPython==3.1.46
|
| 96 |
+
wandb==0.24.2
|
| 97 |
+
entrypoints==0.4
|
| 98 |
+
jupyter_client==7.4.9
|
| 99 |
+
nbclassic==1.1.0
|
| 100 |
+
notebook==6.5.5
|
| 101 |
+
pyzmq==24.0.1
|
| 102 |
+
PyYAML==6.0.2
|
| 103 |
+
Send2Trash==1.8.3
|
| 104 |
+
argon2-cffi==23.1.0
|
| 105 |
+
argon2-cffi-bindings==21.2.0
|
| 106 |
+
arrow==1.3.0
|
| 107 |
+
asttokens==2.4.1
|
| 108 |
+
async-lru==2.0.4
|
| 109 |
+
attrs==24.2.0
|
| 110 |
+
babel==2.16.0
|
| 111 |
+
beautifulsoup4==4.12.3
|
| 112 |
+
bleach==6.1.0
|
| 113 |
+
certifi==2024.8.30
|
| 114 |
+
cffi==1.17.1
|
| 115 |
+
charset-normalizer==3.3.2
|
| 116 |
+
comm==0.2.2
|
| 117 |
+
debugpy==1.8.5
|
| 118 |
+
decorator==5.1.1
|
| 119 |
+
defusedxml==0.7.1
|
| 120 |
+
executing==2.1.0
|
| 121 |
+
fastjsonschema==2.20.0
|
| 122 |
+
fqdn==1.5.1
|
| 123 |
+
h11==0.14.0
|
| 124 |
+
httpcore==1.0.5
|
| 125 |
+
httpx==0.27.2
|
| 126 |
+
idna==3.10
|
| 127 |
+
ipykernel==6.29.5
|
| 128 |
+
ipython==8.27.0
|
| 129 |
+
ipython-genutils==0.2.0
|
| 130 |
+
ipywidgets==8.1.5
|
| 131 |
+
isoduration==20.11.0
|
| 132 |
+
jedi==0.19.1
|
| 133 |
+
json5==0.9.25
|
| 134 |
+
jsonpointer==3.0.0
|
| 135 |
+
jsonschema==4.23.0
|
| 136 |
+
jsonschema-specifications==2023.12.1
|
| 137 |
+
jupyter-archive==3.4.0
|
| 138 |
+
jupyter_contrib_core==0.4.2
|
| 139 |
+
jupyter_contrib_nbextensions==0.7.0
|
| 140 |
+
jupyter_core==5.7.2
|
| 141 |
+
jupyter-events==0.10.0
|
| 142 |
+
jupyter-highlight-selected-word==0.2.0
|
| 143 |
+
jupyter-lsp==2.2.5
|
| 144 |
+
jupyter_nbextensions_configurator==0.6.4
|
| 145 |
+
jupyter_server==2.14.2
|
| 146 |
+
jupyter_server_terminals==0.5.3
|
| 147 |
+
jupyterlab==4.2.5
|
| 148 |
+
jupyterlab_pygments==0.3.0
|
| 149 |
+
jupyterlab_server==2.27.3
|
| 150 |
+
jupyterlab_widgets==3.0.13
|
| 151 |
+
lxml==5.3.0
|
| 152 |
+
matplotlib-inline==0.1.7
|
| 153 |
+
mistune==3.0.2
|
| 154 |
+
nbclient==0.10.0
|
| 155 |
+
nbconvert==7.16.4
|
| 156 |
+
nbformat==5.10.4
|
| 157 |
+
nest-asyncio==1.6.0
|
| 158 |
+
notebook_shim==0.2.4
|
| 159 |
+
overrides==7.7.0
|
| 160 |
+
packaging==24.1
|
| 161 |
+
pandocfilters==1.5.1
|
| 162 |
+
parso==0.8.4
|
| 163 |
+
pexpect==4.9.0
|
| 164 |
+
platformdirs==4.3.6
|
| 165 |
+
prometheus_client==0.21.0
|
| 166 |
+
prompt_toolkit==3.0.47
|
| 167 |
+
psutil==6.0.0
|
| 168 |
+
ptyprocess==0.7.0
|
| 169 |
+
pure_eval==0.2.3
|
| 170 |
+
pycparser==2.22
|
| 171 |
+
Pygments==2.18.0
|
| 172 |
+
python-dateutil==2.9.0.post0
|
| 173 |
+
python-json-logger==2.0.7
|
| 174 |
+
referencing==0.35.1
|
| 175 |
+
requests==2.32.3
|
| 176 |
+
rfc3339-validator==0.1.4
|
| 177 |
+
rfc3986-validator==0.1.1
|
| 178 |
+
rpds-py==0.20.0
|
| 179 |
+
sniffio==1.3.1
|
| 180 |
+
soupsieve==2.6
|
| 181 |
+
stack-data==0.6.3
|
| 182 |
+
terminado==0.18.1
|
| 183 |
+
tinycss2==1.3.0
|
| 184 |
+
tornado==6.4.1
|
| 185 |
+
traitlets==5.14.3
|
| 186 |
+
types-python-dateutil==2.9.0.20240906
|
| 187 |
+
uri-template==1.3.0
|
| 188 |
+
urllib3==2.2.3
|
| 189 |
+
wcwidth==0.2.13
|
| 190 |
+
webcolors==24.8.0
|
| 191 |
+
webencodings==0.5.1
|
| 192 |
+
websocket-client==1.8.0
|
| 193 |
+
widgetsnbextension==4.0.13
|
| 194 |
+
Jinja2==3.1.3
|
| 195 |
+
MarkupSafe==2.1.5
|
| 196 |
+
filelock==3.13.1
|
| 197 |
+
fsspec==2024.2.0
|
| 198 |
+
mpmath==1.3.0
|
| 199 |
+
networkx==3.2.1
|
| 200 |
+
nvidia-cublas-cu12==12.4.2.65
|
| 201 |
+
nvidia-cuda-cupti-cu12==12.4.99
|
| 202 |
+
nvidia-cuda-nvrtc-cu12==12.4.99
|
| 203 |
+
nvidia-cuda-runtime-cu12==12.4.99
|
| 204 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 205 |
+
nvidia-cufft-cu12==11.2.0.44
|
| 206 |
+
nvidia-curand-cu12==10.3.5.119
|
| 207 |
+
nvidia-cusolver-cu12==11.6.0.99
|
| 208 |
+
nvidia-cusparse-cu12==12.3.0.142
|
| 209 |
+
nvidia-nccl-cu12==2.20.5
|
| 210 |
+
nvidia-nvjitlink-cu12==12.4.99
|
| 211 |
+
nvidia-nvtx-cu12==12.4.99
|
| 212 |
+
pillow==10.2.0
|
| 213 |
+
sympy==1.12
|
| 214 |
+
torch==2.4.1+cu124
|
| 215 |
+
torchaudio==2.4.1+cu124
|
| 216 |
+
torchvision==0.19.1+cu124
|
| 217 |
+
triton==3.0.0
|
| 218 |
+
pip==24.2
|
| 219 |
+
setuptools==75.1.0
|
| 220 |
+
wheel==0.44.0
|
| 221 |
+
PyGObject==3.42.1
|
| 222 |
+
PyJWT==2.3.0
|
| 223 |
+
SecretStorage==3.3.1
|
| 224 |
+
blinker==1.4
|
| 225 |
+
cryptography==3.4.8
|
| 226 |
+
dbus-python==1.2.18
|
| 227 |
+
distro==1.7.0
|
| 228 |
+
httplib2==0.20.2
|
| 229 |
+
importlib-metadata==4.6.4
|
| 230 |
+
jeepney==0.7.1
|
| 231 |
+
keyring==23.5.0
|
| 232 |
+
launchpadlib==1.10.16
|
| 233 |
+
lazr.restfulclient==0.14.4
|
| 234 |
+
lazr.uri==1.0.6
|
| 235 |
+
more-itertools==8.10.0
|
| 236 |
+
oauthlib==3.2.0
|
| 237 |
+
python-apt==2.4.0+ubuntu4
|
| 238 |
+
six==1.16.0
|
| 239 |
+
wadllib==1.3.6
|
| 240 |
+
zipp==1.0.0
|
| 241 |
+
autocommand==2.2.2
|
| 242 |
+
backports.tarfile==1.2.0
|
| 243 |
+
importlib_metadata==8.0.0
|
| 244 |
+
importlib_resources==6.4.0
|
| 245 |
+
inflect==7.3.1
|
| 246 |
+
jaraco.collections==5.1.0
|
| 247 |
+
jaraco.context==5.3.0
|
| 248 |
+
jaraco.functools==4.0.1
|
| 249 |
+
jaraco.text==3.12.1
|
| 250 |
+
more-itertools==10.3.0
|
| 251 |
+
packaging==24.1
|
| 252 |
+
platformdirs==4.2.2
|
| 253 |
+
tomli==2.0.1
|
| 254 |
+
typeguard==4.3.0
|
| 255 |
+
typing_extensions==4.12.2
|
| 256 |
+
wheel==0.43.0
|
| 257 |
+
zipp==3.19.2
|
LlamaFactory/wandb/run-20260205_074020-s91zw8js/files/wandb-metadata.json
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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 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-52-generic-x86_64-with-glibc2.35",
|
| 3 |
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| 4 |
+
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| 5 |
+
"args": [
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| 6 |
+
"/workspace/v127rc_exp1/E_mup.yaml"
|
| 7 |
+
],
|
| 8 |
+
"program": "/usr/local/bin/llamafactory-cli",
|
| 9 |
+
"git": {
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| 10 |
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"remote": "https://github.com/hiyouga/LlamaFactory.git",
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| 11 |
+
"commit": "1a02717fa84c270d1c156c4c4a391c2f95525a63"
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| 12 |
+
},
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| 13 |
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"email": "markmochi200@gmail.com",
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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|
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| 26 |
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| 27 |
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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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| 36 |
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| 37 |
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| 38 |
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| 40 |
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"writerId": "qggzf6e4qf9vgtbvttkcenmdoze5458m"
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| 41 |
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}
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LlamaFactory/wandb/run-20260205_074020-s91zw8js/files/wandb-summary.json
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LlamaFactory/wandb/run-20260205_074020-s91zw8js/logs/debug-internal.log
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{"time":"2026-02-05T07:40:20.921871833Z","level":"INFO","msg":"stream: starting","core version":"0.24.2"}
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LlamaFactory/wandb/run-20260205_074020-s91zw8js/logs/debug.log
ADDED
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|
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2026-02-05 07:40:20,685 INFO MainThread:1062 [wandb_setup.py:_flush():81] Current SDK version is 0.24.2
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2026-02-05 07:40:20,687 INFO MainThread:1062 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /workspace/LlamaFactory/wandb/run-20260205_074020-s91zw8js/logs/debug-internal.log
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| 6 |
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2026-02-05 07:40:20,688 INFO MainThread:1062 [wandb_init.py:init():844] calling init triggers
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2026-02-05 07:40:20,688 INFO MainThread:1062 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
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| 8 |
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config: {'_wandb': {}}
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| 9 |
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2026-02-05 07:40:20,689 INFO MainThread:1062 [wandb_init.py:init():892] starting backend
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2026-02-05 07:40:20,910 INFO MainThread:1062 [wandb_init.py:init():895] sending inform_init request
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2026-02-05 07:40:20,922 INFO MainThread:1062 [wandb_init.py:init():973] updated telemetry
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2026-02-05 07:40:20,967 INFO MainThread:1062 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
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2026-02-05 07:40:21,655 INFO MainThread:1062 [wandb_init.py:init():1042] starting run threads in backend
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2026-02-05 07:40:21,731 INFO MainThread:1062 [wandb_run.py:_console_start():2529] atexit reg
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2026-02-05 07:40:21,732 INFO MainThread:1062 [wandb_run.py:_redirect():2446] Wrapping output streams.
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2026-02-05 07:40:21,732 INFO MainThread:1062 [wandb_run.py:_redirect():2469] Redirects installed.
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2026-02-05 07:40:21,734 INFO MainThread:1062 [wandb_init.py:init():1082] run started, returning control to user process
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| 20 |
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2026-02-05 07:40:21,735 INFO MainThread:1062 [wandb_run.py:_config_callback():1404] config_cb None None {'peft_config': {'default': {'task_type': 'CAUSAL_LM', 'peft_type': 'LORA', 'auto_mapping': None, 'peft_version': '0.18.1', 'base_model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': ['k_proj', 'down_proj', 'q_proj', 'up_proj', 'gate_proj', 'v_proj', 'o_proj'], 'exclude_modules': None, 'lora_alpha': 32, 'lora_dropout': 0.03, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'alora_invocation_tokens': None, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 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'tf32': None, 'local_rank': -1, 'ddp_backend': None, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': ['labels'], 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'auto_find_batch_size': False, 'full_determinism': False, 'ddp_timeout': 180000000, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_num_input_tokens_seen': 'all', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'sortish_sampler': False, 'predict_with_generate': False, 'generation_max_length': 2047, 'generation_num_beams': None, 'generation_config': None, 'ray_num_workers': 1, 'ray_init_kwargs': None, 'master_addr': None, 'master_port': None, 'fp8': False, 'fp8_backend': 'auto', 'fp8_enable_fsdp_float8_all_gather': False, 'overwrite_output_dir': False}
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| 21 |
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2026-02-05 07:40:21,742 INFO MainThread:1062 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 8234382336 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7e4008ed12d0>>
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| 22 |
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2026-02-05 07:40:21,742 INFO MainThread:1062 [wandb_run.py:_config_callback():1404] config_cb model/num_parameters 8234382336 None
|
| 23 |
+
2026-02-05 07:40:21,744 INFO MainThread:1062 [wandb_run.py:_config_callback():1404] config_cb None None {'model_args': {'model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'adapter_name_or_path': None, 'adapter_folder': None, 'cache_dir': None, 'use_fast_tokenizer': True, 'resize_vocab': False, 'split_special_tokens': False, 'add_tokens': None, 'add_special_tokens': None, 'new_special_tokens_config': None, 'init_special_tokens': 'noise_init', 'model_revision': 'main', 'low_cpu_mem_usage': True, 'rope_scaling': None, 'flash_attn': 'auto', 'shift_attn': False, 'mixture_of_depths': None, 'use_unsloth': False, 'use_unsloth_gc': False, 'enable_liger_kernel': False, 'moe_aux_loss_coef': None, 'disable_gradient_checkpointing': False, 'use_reentrant_gc': True, 'upcast_layernorm': False, 'upcast_lmhead_output': False, 'train_from_scratch': False, 'infer_backend': 'HF', 'offload_folder': 'offload', 'use_kv_cache': True, 'use_v1_kernels': False, 'infer_dtype': 'auto', 'hf_hub_token': '<HF_HUB_TOKEN>', 'ms_hub_token': '<MS_HUB_TOKEN>', 'om_hub_token': '<OM_HUB_TOKEN>', 'print_param_status': False, 'trust_remote_code': True, 'quantization_method': 'BNB', 'quantization_bit': None, 'quantization_type': 'nf4', 'double_quantization': True, 'quantization_device_map': None, 'image_max_pixels': 589824, 'image_min_pixels': 1024, 'image_do_pan_and_scan': False, 'crop_to_patches': False, 'video_max_pixels': 65536, 'video_min_pixels': 256, 'video_fps': 2.0, 'video_maxlen': 128, 'use_audio_in_video': False, 'audio_sampling_rate': 16000, 'export_dir': None, 'export_size': 5, 'export_device': 'cpu', 'export_quantization_bit': None, 'export_quantization_dataset': None, 'export_quantization_nsamples': 128, 'export_quantization_maxlen': 1024, 'export_legacy_format': False, 'export_hub_model_id': None, 'use_kt': False, 'kt_optimize_rule': None, 'cpu_infer': 32, 'chunk_size': 8192, 'mode': 'normal', 'kt_maxlen': 4096, 'kt_use_cuda_graph': True, 'kt_mode': 'normal', 'kt_force_think': False, 'vllm_maxlen': 4096, 'vllm_gpu_util': 0.7, 'vllm_enforce_eager': False, 'vllm_max_lora_rank': 32, 'vllm_config': None, 'sglang_maxlen': 4096, 'sglang_mem_fraction': 0.7, 'sglang_tp_size': -1, 'sglang_config': None, 'sglang_lora_backend': 'triton', 'compute_dtype': 'torch.bfloat16', 'device_map': {'': 'cuda:0'}, 'model_max_length': 2047, 'block_diag_attn': False}, 'data_args': {'template': 'qwen3_nothink', 'dataset': ['Markie_Voss_t119_d85_r1'], 'eval_dataset': None, 'dataset_dir': '/workspace/LlamaFactory/data', 'media_dir': '/workspace/LlamaFactory/data', 'cutoff_len': 2047, 'train_on_prompt': False, 'mask_history': False, 'streaming': False, 'buffer_size': 16384, 'mix_strategy': 'concat', 'interleave_probs': None, 'overwrite_cache': False, 'preprocessing_batch_size': 1000, 'preprocessing_num_workers': 16, 'max_samples': 100000000, 'eval_num_beams': None, 'ignore_pad_token_for_loss': True, 'val_size': 0.0, 'eval_on_each_dataset': False, 'packing': True, 'neat_packing': False, 'tool_format': None, 'default_system': None, 'enable_thinking': False, 'tokenized_path': None, 'data_shared_file_system': False}, 'finetuning_args': {'freeze_trainable_layers': 2, 'freeze_trainable_modules': ['all'], 'freeze_extra_modules': None, 'additional_target': None, 'module_dropout': 0.0, 'oft_rank': 0, 'oft_block_size': 32, 'oft_target': ['all'], 'create_new_adapter': False, 'lora_alpha': 32, 'lora_dropout': 0.03, 'lora_rank': 16, 'lora_target': ['all'], 'loraplus_lr_ratio': None, 'loraplus_lr_embedding': 1e-06, 'use_rslora': False, 'use_dora': False, 'pissa_init': False, 'pissa_iter': 16, 'pissa_convert': False, 'pref_beta': 0.1, 'pref_ftx': 0.0, 'pref_bco_weight': 0.0, 'pref_loss': 'sigmoid', 'dpo_label_smoothing': 0.0, 'kto_chosen_weight': 1.0, 'kto_rejected_weight': 1.0, 'simpo_gamma': 0.5, 'ppo_buffer_size': 1, 'ppo_epochs': 4, 'ppo_score_norm': False, 'ppo_target': 6.0, 'ppo_whiten_rewards': False, 'ref_model': None, 'ref_model_adapters': None, 'ref_model_quantization_bit': None, 'reward_model': None, 'reward_model_adapters': None, 'reward_model_quantization_bit': None, 'reward_model_type': 'lora', 'ld_alpha': None, 'use_galore': False, 'galore_target': ['all'], 'galore_rank': 16, 'galore_update_interval': 200, 'galore_scale': 2.0, 'galore_proj_type': 'std', 'galore_layerwise': False, 'use_apollo': False, 'apollo_target': ['all'], 'apollo_rank': 16, 'apollo_update_interval': 200, 'apollo_scale': 32.0, 'apollo_proj': 'random', 'apollo_proj_type': 'std', 'apollo_scale_type': 'channel', 'apollo_layerwise': False, 'apollo_scale_front': False, 'use_badam': False, 'badam_mode': 'layer', 'badam_start_block': None, 'badam_switch_mode': 'ascending', 'badam_switch_interval': 50, 'badam_update_ratio': 0.05, 'badam_mask_mode': 'adjacent', 'badam_verbose': 0, 'use_swanlab': False, 'swanlab_project': 'llamafactory', 'swanlab_workspace': None, 'swanlab_run_name': None, 'swanlab_mode': 'cloud', 'swanlab_api_key': '<SWANLAB_API_KEY>', 'swanlab_logdir': None, 'swanlab_lark_webhook_url': None, 'swanlab_lark_secret': None, 'pure_bf16': False, 'stage': 'pt', 'finetuning_type': 'lora', 'use_llama_pro': False, 'use_adam_mini': False, 'use_mca': False, 'use_muon': False, 'use_dft_loss': False, 'use_eaft_loss': False, 'eaft_alpha': 1.0, 'freeze_vision_tower': True, 'freeze_multi_modal_projector': True, 'freeze_language_model': False, 'compute_accuracy': False, 'disable_shuffling': False, 'early_stopping_steps': None, 'plot_loss': True, 'include_effective_tokens_per_second': False}, 'generating_args': {'do_sample': True, 'temperature': 0.95, 'top_p': 0.7, 'top_k': 50, 'num_beams': 1, 'max_new_tokens': 1024, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'skip_special_tokens': True}}
|
| 24 |
+
2026-02-07 08:19:19,611 INFO wandb-AsyncioManager-main:1062 [service_client.py:_forward_responses():94] Reached EOF.
|
| 25 |
+
2026-02-07 08:19:19,612 INFO wandb-AsyncioManager-main:1062 [mailbox.py:close():154] Closing mailbox, abandoning 1 handles.
|
LlamaFactory/wandb/run-20260205_074050-63c40qxy/files/config.yaml
ADDED
|
@@ -0,0 +1,723 @@
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: /workspace/Qwen/Qwen3-8B-Base
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.24.2
|
| 6 |
+
e:
|
| 7 |
+
m15pzb5bw8fbrm1kn15f02cv2o8axrnb:
|
| 8 |
+
args:
|
| 9 |
+
- /workspace/v127rc_exp1/B_mup.yaml
|
| 10 |
+
cpu_count: 24
|
| 11 |
+
cpu_count_logical: 48
|
| 12 |
+
cudaVersion: "12.8"
|
| 13 |
+
disk:
|
| 14 |
+
/:
|
| 15 |
+
total: "21474836480"
|
| 16 |
+
used: "2414051328"
|
| 17 |
+
email: markmochi200@gmail.com
|
| 18 |
+
executable: /usr/bin/python
|
| 19 |
+
git:
|
| 20 |
+
commit: 1a02717fa84c270d1c156c4c4a391c2f95525a63
|
| 21 |
+
remote: https://github.com/hiyouga/LlamaFactory.git
|
| 22 |
+
gpu: NVIDIA GeForce RTX 4090
|
| 23 |
+
gpu_count: 1
|
| 24 |
+
gpu_nvidia:
|
| 25 |
+
- architecture: Ada
|
| 26 |
+
cudaCores: 16384
|
| 27 |
+
memoryTotal: "25757220864"
|
| 28 |
+
name: NVIDIA GeForce RTX 4090
|
| 29 |
+
uuid: GPU-64f7ee9c-3f46-4f01-74c0-f57a6e56968a
|
| 30 |
+
host: 540de1d49753
|
| 31 |
+
memory:
|
| 32 |
+
total: "270100414464"
|
| 33 |
+
os: Linux-6.8.0-78-generic-x86_64-with-glibc2.35
|
| 34 |
+
program: /usr/local/bin/llamafactory-cli
|
| 35 |
+
python: CPython 3.11.10
|
| 36 |
+
root: /workspace/LlamaFactory
|
| 37 |
+
startedAt: "2026-02-05T07:40:50.642512Z"
|
| 38 |
+
writerId: m15pzb5bw8fbrm1kn15f02cv2o8axrnb
|
| 39 |
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m:
|
| 40 |
+
- "1": train/global_step
|
| 41 |
+
"6":
|
| 42 |
+
- 3
|
| 43 |
+
"7": []
|
| 44 |
+
- "2": '*'
|
| 45 |
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"5": 1
|
| 46 |
+
"6":
|
| 47 |
+
- 1
|
| 48 |
+
"7": []
|
| 49 |
+
python_version: 3.11.10
|
| 50 |
+
t:
|
| 51 |
+
"1":
|
| 52 |
+
- 1
|
| 53 |
+
- 11
|
| 54 |
+
- 41
|
| 55 |
+
- 49
|
| 56 |
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- 51
|
| 57 |
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- 71
|
| 58 |
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|
| 59 |
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- 98
|
| 60 |
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- 105
|
| 61 |
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"2":
|
| 62 |
+
- 1
|
| 63 |
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- 11
|
| 64 |
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- 41
|
| 65 |
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- 49
|
| 66 |
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- 51
|
| 67 |
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- 71
|
| 68 |
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- 84
|
| 69 |
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- 98
|
| 70 |
+
- 105
|
| 71 |
+
"3":
|
| 72 |
+
- 7
|
| 73 |
+
- 19
|
| 74 |
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- 62
|
| 75 |
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- 66
|
| 76 |
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"4": 3.11.10
|
| 77 |
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"5": 0.24.2
|
| 78 |
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"6": 5.0.0
|
| 79 |
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"9":
|
| 80 |
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"1": transformers_trainer
|
| 81 |
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"12": 0.24.2
|
| 82 |
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"13": linux-x86_64
|
| 83 |
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accelerator_config:
|
| 84 |
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value:
|
| 85 |
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dispatch_batches: null
|
| 86 |
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even_batches: true
|
| 87 |
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gradient_accumulation_kwargs: null
|
| 88 |
+
non_blocking: false
|
| 89 |
+
split_batches: false
|
| 90 |
+
use_seedable_sampler: true
|
| 91 |
+
adam_beta1:
|
| 92 |
+
value: 0.9
|
| 93 |
+
adam_beta2:
|
| 94 |
+
value: 0.95
|
| 95 |
+
adam_epsilon:
|
| 96 |
+
value: 1e-08
|
| 97 |
+
architectures:
|
| 98 |
+
value:
|
| 99 |
+
- Qwen3ForCausalLM
|
| 100 |
+
attention_bias:
|
| 101 |
+
value: false
|
| 102 |
+
attention_dropout:
|
| 103 |
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value: 0
|
| 104 |
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auto_find_batch_size:
|
| 105 |
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value: false
|
| 106 |
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average_tokens_across_devices:
|
| 107 |
+
value: true
|
| 108 |
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batch_eval_metrics:
|
| 109 |
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value: false
|
| 110 |
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bf16:
|
| 111 |
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value: true
|
| 112 |
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bf16_full_eval:
|
| 113 |
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value: false
|
| 114 |
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bos_token_id:
|
| 115 |
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value: null
|
| 116 |
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chunk_size_feed_forward:
|
| 117 |
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value: 0
|
| 118 |
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data_args:
|
| 119 |
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value:
|
| 120 |
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buffer_size: 16384
|
| 121 |
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cutoff_len: 2047
|
| 122 |
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data_shared_file_system: false
|
| 123 |
+
dataset:
|
| 124 |
+
- Markie_Voss_t35_d286_r1
|
| 125 |
+
dataset_dir: /workspace/LlamaFactory/data
|
| 126 |
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default_system: null
|
| 127 |
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enable_thinking: false
|
| 128 |
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eval_dataset: null
|
| 129 |
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eval_num_beams: null
|
| 130 |
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eval_on_each_dataset: false
|
| 131 |
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ignore_pad_token_for_loss: true
|
| 132 |
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interleave_probs: null
|
| 133 |
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mask_history: false
|
| 134 |
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max_samples: 100000000
|
| 135 |
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media_dir: /workspace/LlamaFactory/data
|
| 136 |
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mix_strategy: concat
|
| 137 |
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neat_packing: false
|
| 138 |
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overwrite_cache: false
|
| 139 |
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packing: true
|
| 140 |
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preprocessing_batch_size: 1000
|
| 141 |
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preprocessing_num_workers: 16
|
| 142 |
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streaming: false
|
| 143 |
+
template: qwen3_nothink
|
| 144 |
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tokenized_path: null
|
| 145 |
+
tool_format: null
|
| 146 |
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train_on_prompt: false
|
| 147 |
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val_size: 0
|
| 148 |
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data_seed:
|
| 149 |
+
value: null
|
| 150 |
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dataloader_drop_last:
|
| 151 |
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value: false
|
| 152 |
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dataloader_num_workers:
|
| 153 |
+
value: 0
|
| 154 |
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dataloader_persistent_workers:
|
| 155 |
+
value: false
|
| 156 |
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dataloader_pin_memory:
|
| 157 |
+
value: true
|
| 158 |
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dataloader_prefetch_factor:
|
| 159 |
+
value: null
|
| 160 |
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ddp_backend:
|
| 161 |
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value: null
|
| 162 |
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ddp_broadcast_buffers:
|
| 163 |
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value: null
|
| 164 |
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ddp_bucket_cap_mb:
|
| 165 |
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value: null
|
| 166 |
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ddp_find_unused_parameters:
|
| 167 |
+
value: null
|
| 168 |
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ddp_timeout:
|
| 169 |
+
value: 180000000
|
| 170 |
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debug:
|
| 171 |
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value: []
|
| 172 |
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deepspeed:
|
| 173 |
+
value: null
|
| 174 |
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disable_tqdm:
|
| 175 |
+
value: false
|
| 176 |
+
do_eval:
|
| 177 |
+
value: false
|
| 178 |
+
do_predict:
|
| 179 |
+
value: false
|
| 180 |
+
do_train:
|
| 181 |
+
value: true
|
| 182 |
+
dtype:
|
| 183 |
+
value: bfloat16
|
| 184 |
+
enable_jit_checkpoint:
|
| 185 |
+
value: false
|
| 186 |
+
eos_token_id:
|
| 187 |
+
value: 151645
|
| 188 |
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eval_accumulation_steps:
|
| 189 |
+
value: null
|
| 190 |
+
eval_delay:
|
| 191 |
+
value: 0
|
| 192 |
+
eval_do_concat_batches:
|
| 193 |
+
value: true
|
| 194 |
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eval_on_start:
|
| 195 |
+
value: false
|
| 196 |
+
eval_steps:
|
| 197 |
+
value: null
|
| 198 |
+
eval_strategy:
|
| 199 |
+
value: "no"
|
| 200 |
+
eval_use_gather_object:
|
| 201 |
+
value: false
|
| 202 |
+
finetuning_args:
|
| 203 |
+
value:
|
| 204 |
+
additional_target: null
|
| 205 |
+
apollo_layerwise: false
|
| 206 |
+
apollo_proj: random
|
| 207 |
+
apollo_proj_type: std
|
| 208 |
+
apollo_rank: 16
|
| 209 |
+
apollo_scale: 32
|
| 210 |
+
apollo_scale_front: false
|
| 211 |
+
apollo_scale_type: channel
|
| 212 |
+
apollo_target:
|
| 213 |
+
- all
|
| 214 |
+
apollo_update_interval: 200
|
| 215 |
+
badam_mask_mode: adjacent
|
| 216 |
+
badam_mode: layer
|
| 217 |
+
badam_start_block: null
|
| 218 |
+
badam_switch_interval: 50
|
| 219 |
+
badam_switch_mode: ascending
|
| 220 |
+
badam_update_ratio: 0.05
|
| 221 |
+
badam_verbose: 0
|
| 222 |
+
compute_accuracy: false
|
| 223 |
+
create_new_adapter: false
|
| 224 |
+
disable_shuffling: false
|
| 225 |
+
dpo_label_smoothing: 0
|
| 226 |
+
eaft_alpha: 1
|
| 227 |
+
early_stopping_steps: null
|
| 228 |
+
finetuning_type: lora
|
| 229 |
+
freeze_extra_modules: null
|
| 230 |
+
freeze_language_model: false
|
| 231 |
+
freeze_multi_modal_projector: true
|
| 232 |
+
freeze_trainable_layers: 2
|
| 233 |
+
freeze_trainable_modules:
|
| 234 |
+
- all
|
| 235 |
+
freeze_vision_tower: true
|
| 236 |
+
galore_layerwise: false
|
| 237 |
+
galore_proj_type: std
|
| 238 |
+
galore_rank: 16
|
| 239 |
+
galore_scale: 2
|
| 240 |
+
galore_target:
|
| 241 |
+
- all
|
| 242 |
+
galore_update_interval: 200
|
| 243 |
+
include_effective_tokens_per_second: false
|
| 244 |
+
kto_chosen_weight: 1
|
| 245 |
+
kto_rejected_weight: 1
|
| 246 |
+
ld_alpha: null
|
| 247 |
+
lora_alpha: 32
|
| 248 |
+
lora_dropout: 0.03
|
| 249 |
+
lora_rank: 16
|
| 250 |
+
lora_target:
|
| 251 |
+
- all
|
| 252 |
+
loraplus_lr_embedding: 1e-06
|
| 253 |
+
loraplus_lr_ratio: null
|
| 254 |
+
module_dropout: 0
|
| 255 |
+
oft_block_size: 32
|
| 256 |
+
oft_rank: 0
|
| 257 |
+
oft_target:
|
| 258 |
+
- all
|
| 259 |
+
pissa_convert: false
|
| 260 |
+
pissa_init: false
|
| 261 |
+
pissa_iter: 16
|
| 262 |
+
plot_loss: true
|
| 263 |
+
ppo_buffer_size: 1
|
| 264 |
+
ppo_epochs: 4
|
| 265 |
+
ppo_score_norm: false
|
| 266 |
+
ppo_target: 6
|
| 267 |
+
ppo_whiten_rewards: false
|
| 268 |
+
pref_bco_weight: 0
|
| 269 |
+
pref_beta: 0.1
|
| 270 |
+
pref_ftx: 0
|
| 271 |
+
pref_loss: sigmoid
|
| 272 |
+
pure_bf16: false
|
| 273 |
+
ref_model: null
|
| 274 |
+
ref_model_adapters: null
|
| 275 |
+
ref_model_quantization_bit: null
|
| 276 |
+
reward_model: null
|
| 277 |
+
reward_model_adapters: null
|
| 278 |
+
reward_model_quantization_bit: null
|
| 279 |
+
reward_model_type: lora
|
| 280 |
+
simpo_gamma: 0.5
|
| 281 |
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stage: pt
|
| 282 |
+
swanlab_api_key: <SWANLAB_API_KEY>
|
| 283 |
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swanlab_lark_secret: null
|
| 284 |
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swanlab_lark_webhook_url: null
|
| 285 |
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swanlab_logdir: null
|
| 286 |
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swanlab_mode: cloud
|
| 287 |
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swanlab_project: llamafactory
|
| 288 |
+
swanlab_run_name: null
|
| 289 |
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swanlab_workspace: null
|
| 290 |
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use_adam_mini: false
|
| 291 |
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use_apollo: false
|
| 292 |
+
use_badam: false
|
| 293 |
+
use_dft_loss: false
|
| 294 |
+
use_dora: false
|
| 295 |
+
use_eaft_loss: false
|
| 296 |
+
use_galore: false
|
| 297 |
+
use_llama_pro: false
|
| 298 |
+
use_mca: false
|
| 299 |
+
use_muon: false
|
| 300 |
+
use_rslora: false
|
| 301 |
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use_swanlab: false
|
| 302 |
+
fp8:
|
| 303 |
+
value: false
|
| 304 |
+
fp8_backend:
|
| 305 |
+
value: auto
|
| 306 |
+
fp8_enable_fsdp_float8_all_gather:
|
| 307 |
+
value: false
|
| 308 |
+
fp16:
|
| 309 |
+
value: false
|
| 310 |
+
fp16_full_eval:
|
| 311 |
+
value: false
|
| 312 |
+
fsdp:
|
| 313 |
+
value: []
|
| 314 |
+
fsdp_config:
|
| 315 |
+
value:
|
| 316 |
+
min_num_params: 0
|
| 317 |
+
xla: false
|
| 318 |
+
xla_fsdp_grad_ckpt: false
|
| 319 |
+
xla_fsdp_v2: false
|
| 320 |
+
full_determinism:
|
| 321 |
+
value: false
|
| 322 |
+
generating_args:
|
| 323 |
+
value:
|
| 324 |
+
do_sample: true
|
| 325 |
+
length_penalty: 1
|
| 326 |
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max_new_tokens: 1024
|
| 327 |
+
num_beams: 1
|
| 328 |
+
repetition_penalty: 1
|
| 329 |
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skip_special_tokens: true
|
| 330 |
+
temperature: 0.95
|
| 331 |
+
top_k: 50
|
| 332 |
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top_p: 0.7
|
| 333 |
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generation_config:
|
| 334 |
+
value: null
|
| 335 |
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generation_max_length:
|
| 336 |
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value: 2047
|
| 337 |
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generation_num_beams:
|
| 338 |
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value: null
|
| 339 |
+
gradient_accumulation_steps:
|
| 340 |
+
value: 1
|
| 341 |
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gradient_checkpointing:
|
| 342 |
+
value: false
|
| 343 |
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gradient_checkpointing_kwargs:
|
| 344 |
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value: null
|
| 345 |
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greater_is_better:
|
| 346 |
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value: null
|
| 347 |
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group_by_length:
|
| 348 |
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value: false
|
| 349 |
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head_dim:
|
| 350 |
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value: 128
|
| 351 |
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hidden_act:
|
| 352 |
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value: silu
|
| 353 |
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hidden_size:
|
| 354 |
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value: 4096
|
| 355 |
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hub_always_push:
|
| 356 |
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value: false
|
| 357 |
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hub_model_id:
|
| 358 |
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value: null
|
| 359 |
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hub_private_repo:
|
| 360 |
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value: null
|
| 361 |
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hub_revision:
|
| 362 |
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value: null
|
| 363 |
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hub_strategy:
|
| 364 |
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value: every_save
|
| 365 |
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hub_token:
|
| 366 |
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value: <HUB_TOKEN>
|
| 367 |
+
id2label:
|
| 368 |
+
value:
|
| 369 |
+
"0": LABEL_0
|
| 370 |
+
"1": LABEL_1
|
| 371 |
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ignore_data_skip:
|
| 372 |
+
value: false
|
| 373 |
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include_for_metrics:
|
| 374 |
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value: []
|
| 375 |
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include_num_input_tokens_seen:
|
| 376 |
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value: all
|
| 377 |
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initializer_range:
|
| 378 |
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value: 0.02
|
| 379 |
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intermediate_size:
|
| 380 |
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value: 12288
|
| 381 |
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is_encoder_decoder:
|
| 382 |
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value: false
|
| 383 |
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label_names:
|
| 384 |
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value:
|
| 385 |
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- labels
|
| 386 |
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label_smoothing_factor:
|
| 387 |
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value: 0
|
| 388 |
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label2id:
|
| 389 |
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value:
|
| 390 |
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LABEL_0: 0
|
| 391 |
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LABEL_1: 1
|
| 392 |
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layer_types:
|
| 393 |
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value:
|
| 394 |
+
- full_attention
|
| 395 |
+
- full_attention
|
| 396 |
+
- full_attention
|
| 397 |
+
- full_attention
|
| 398 |
+
- full_attention
|
| 399 |
+
- full_attention
|
| 400 |
+
- full_attention
|
| 401 |
+
- full_attention
|
| 402 |
+
- full_attention
|
| 403 |
+
- full_attention
|
| 404 |
+
- full_attention
|
| 405 |
+
- full_attention
|
| 406 |
+
- full_attention
|
| 407 |
+
- full_attention
|
| 408 |
+
- full_attention
|
| 409 |
+
- full_attention
|
| 410 |
+
- full_attention
|
| 411 |
+
- full_attention
|
| 412 |
+
- full_attention
|
| 413 |
+
- full_attention
|
| 414 |
+
- full_attention
|
| 415 |
+
- full_attention
|
| 416 |
+
- full_attention
|
| 417 |
+
- full_attention
|
| 418 |
+
- full_attention
|
| 419 |
+
- full_attention
|
| 420 |
+
- full_attention
|
| 421 |
+
- full_attention
|
| 422 |
+
- full_attention
|
| 423 |
+
- full_attention
|
| 424 |
+
- full_attention
|
| 425 |
+
- full_attention
|
| 426 |
+
- full_attention
|
| 427 |
+
- full_attention
|
| 428 |
+
- full_attention
|
| 429 |
+
- full_attention
|
| 430 |
+
learning_rate:
|
| 431 |
+
value: 5e-05
|
| 432 |
+
length_column_name:
|
| 433 |
+
value: length
|
| 434 |
+
liger_kernel_config:
|
| 435 |
+
value: null
|
| 436 |
+
load_best_model_at_end:
|
| 437 |
+
value: false
|
| 438 |
+
local_rank:
|
| 439 |
+
value: -1
|
| 440 |
+
log_level:
|
| 441 |
+
value: passive
|
| 442 |
+
log_level_replica:
|
| 443 |
+
value: warning
|
| 444 |
+
log_on_each_node:
|
| 445 |
+
value: true
|
| 446 |
+
logging_dir:
|
| 447 |
+
value: null
|
| 448 |
+
logging_first_step:
|
| 449 |
+
value: false
|
| 450 |
+
logging_nan_inf_filter:
|
| 451 |
+
value: true
|
| 452 |
+
logging_steps:
|
| 453 |
+
value: 1
|
| 454 |
+
logging_strategy:
|
| 455 |
+
value: steps
|
| 456 |
+
lr_scheduler_kwargs:
|
| 457 |
+
value: null
|
| 458 |
+
lr_scheduler_type:
|
| 459 |
+
value: cosine
|
| 460 |
+
master_addr:
|
| 461 |
+
value: null
|
| 462 |
+
master_port:
|
| 463 |
+
value: null
|
| 464 |
+
max_grad_norm:
|
| 465 |
+
value: 1
|
| 466 |
+
max_position_embeddings:
|
| 467 |
+
value: 32768
|
| 468 |
+
max_steps:
|
| 469 |
+
value: -1
|
| 470 |
+
max_window_layers:
|
| 471 |
+
value: 36
|
| 472 |
+
metric_for_best_model:
|
| 473 |
+
value: null
|
| 474 |
+
model/num_parameters:
|
| 475 |
+
value: 8234382336
|
| 476 |
+
model_args:
|
| 477 |
+
value:
|
| 478 |
+
adapter_folder: null
|
| 479 |
+
adapter_name_or_path: null
|
| 480 |
+
add_special_tokens: null
|
| 481 |
+
add_tokens: null
|
| 482 |
+
audio_sampling_rate: 16000
|
| 483 |
+
block_diag_attn: false
|
| 484 |
+
cache_dir: null
|
| 485 |
+
chunk_size: 8192
|
| 486 |
+
compute_dtype: torch.bfloat16
|
| 487 |
+
cpu_infer: 32
|
| 488 |
+
crop_to_patches: false
|
| 489 |
+
device_map:
|
| 490 |
+
"": cuda:0
|
| 491 |
+
disable_gradient_checkpointing: false
|
| 492 |
+
double_quantization: true
|
| 493 |
+
enable_liger_kernel: false
|
| 494 |
+
export_device: cpu
|
| 495 |
+
export_dir: null
|
| 496 |
+
export_hub_model_id: null
|
| 497 |
+
export_legacy_format: false
|
| 498 |
+
export_quantization_bit: null
|
| 499 |
+
export_quantization_dataset: null
|
| 500 |
+
export_quantization_maxlen: 1024
|
| 501 |
+
export_quantization_nsamples: 128
|
| 502 |
+
export_size: 5
|
| 503 |
+
flash_attn: auto
|
| 504 |
+
hf_hub_token: <HF_HUB_TOKEN>
|
| 505 |
+
image_do_pan_and_scan: false
|
| 506 |
+
image_max_pixels: 589824
|
| 507 |
+
image_min_pixels: 1024
|
| 508 |
+
infer_backend: HF
|
| 509 |
+
infer_dtype: auto
|
| 510 |
+
init_special_tokens: noise_init
|
| 511 |
+
kt_force_think: false
|
| 512 |
+
kt_maxlen: 4096
|
| 513 |
+
kt_mode: normal
|
| 514 |
+
kt_optimize_rule: null
|
| 515 |
+
kt_use_cuda_graph: true
|
| 516 |
+
low_cpu_mem_usage: true
|
| 517 |
+
mixture_of_depths: null
|
| 518 |
+
mode: normal
|
| 519 |
+
model_max_length: 2047
|
| 520 |
+
model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
|
| 521 |
+
model_revision: main
|
| 522 |
+
moe_aux_loss_coef: null
|
| 523 |
+
ms_hub_token: <MS_HUB_TOKEN>
|
| 524 |
+
new_special_tokens_config: null
|
| 525 |
+
offload_folder: offload
|
| 526 |
+
om_hub_token: <OM_HUB_TOKEN>
|
| 527 |
+
print_param_status: false
|
| 528 |
+
quantization_bit: null
|
| 529 |
+
quantization_device_map: null
|
| 530 |
+
quantization_method: BNB
|
| 531 |
+
quantization_type: nf4
|
| 532 |
+
resize_vocab: false
|
| 533 |
+
rope_scaling: null
|
| 534 |
+
sglang_config: null
|
| 535 |
+
sglang_lora_backend: triton
|
| 536 |
+
sglang_maxlen: 4096
|
| 537 |
+
sglang_mem_fraction: 0.7
|
| 538 |
+
sglang_tp_size: -1
|
| 539 |
+
shift_attn: false
|
| 540 |
+
split_special_tokens: false
|
| 541 |
+
train_from_scratch: false
|
| 542 |
+
trust_remote_code: true
|
| 543 |
+
upcast_layernorm: false
|
| 544 |
+
upcast_lmhead_output: false
|
| 545 |
+
use_audio_in_video: false
|
| 546 |
+
use_fast_tokenizer: true
|
| 547 |
+
use_kt: false
|
| 548 |
+
use_kv_cache: true
|
| 549 |
+
use_reentrant_gc: true
|
| 550 |
+
use_unsloth: false
|
| 551 |
+
use_unsloth_gc: false
|
| 552 |
+
use_v1_kernels: false
|
| 553 |
+
video_fps: 2
|
| 554 |
+
video_max_pixels: 65536
|
| 555 |
+
video_maxlen: 128
|
| 556 |
+
video_min_pixels: 256
|
| 557 |
+
vllm_config: null
|
| 558 |
+
vllm_enforce_eager: false
|
| 559 |
+
vllm_gpu_util: 0.7
|
| 560 |
+
vllm_max_lora_rank: 32
|
| 561 |
+
vllm_maxlen: 4096
|
| 562 |
+
model_type:
|
| 563 |
+
value: qwen3
|
| 564 |
+
neftune_noise_alpha:
|
| 565 |
+
value: null
|
| 566 |
+
num_attention_heads:
|
| 567 |
+
value: 32
|
| 568 |
+
num_hidden_layers:
|
| 569 |
+
value: 36
|
| 570 |
+
num_key_value_heads:
|
| 571 |
+
value: 8
|
| 572 |
+
num_train_epochs:
|
| 573 |
+
value: 5
|
| 574 |
+
optim:
|
| 575 |
+
value: adamw_torch
|
| 576 |
+
optim_args:
|
| 577 |
+
value: null
|
| 578 |
+
optim_target_modules:
|
| 579 |
+
value: null
|
| 580 |
+
output_attentions:
|
| 581 |
+
value: false
|
| 582 |
+
output_dir:
|
| 583 |
+
value: /workspace/v127rc_exp1/B_mup
|
| 584 |
+
output_hidden_states:
|
| 585 |
+
value: false
|
| 586 |
+
overwrite_output_dir:
|
| 587 |
+
value: false
|
| 588 |
+
pad_token_id:
|
| 589 |
+
value: 151643
|
| 590 |
+
parallelism_config:
|
| 591 |
+
value: null
|
| 592 |
+
peft_config:
|
| 593 |
+
value:
|
| 594 |
+
default:
|
| 595 |
+
alora_invocation_tokens: null
|
| 596 |
+
arrow_config: null
|
| 597 |
+
auto_mapping: null
|
| 598 |
+
base_model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
|
| 599 |
+
bias: none
|
| 600 |
+
corda_config: null
|
| 601 |
+
ensure_weight_tying: false
|
| 602 |
+
eva_config: null
|
| 603 |
+
exclude_modules: null
|
| 604 |
+
fan_in_fan_out: false
|
| 605 |
+
inference_mode: false
|
| 606 |
+
init_lora_weights: true
|
| 607 |
+
layer_replication: null
|
| 608 |
+
layers_pattern: null
|
| 609 |
+
layers_to_transform: null
|
| 610 |
+
lora_alpha: 32
|
| 611 |
+
lora_bias: false
|
| 612 |
+
lora_dropout: 0.03
|
| 613 |
+
megatron_config: null
|
| 614 |
+
megatron_core: megatron.core
|
| 615 |
+
modules_to_save: null
|
| 616 |
+
peft_type: LORA
|
| 617 |
+
peft_version: 0.18.1
|
| 618 |
+
qalora_group_size: 16
|
| 619 |
+
r: 16
|
| 620 |
+
revision: null
|
| 621 |
+
runtime_config:
|
| 622 |
+
ephemeral_gpu_offload: false
|
| 623 |
+
target_modules:
|
| 624 |
+
- q_proj
|
| 625 |
+
- up_proj
|
| 626 |
+
- gate_proj
|
| 627 |
+
- down_proj
|
| 628 |
+
- k_proj
|
| 629 |
+
- v_proj
|
| 630 |
+
- o_proj
|
| 631 |
+
target_parameters: null
|
| 632 |
+
task_type: CAUSAL_LM
|
| 633 |
+
trainable_token_indices: null
|
| 634 |
+
use_dora: false
|
| 635 |
+
use_qalora: false
|
| 636 |
+
use_rslora: false
|
| 637 |
+
per_device_eval_batch_size:
|
| 638 |
+
value: 8
|
| 639 |
+
per_device_train_batch_size:
|
| 640 |
+
value: 1
|
| 641 |
+
predict_with_generate:
|
| 642 |
+
value: false
|
| 643 |
+
prediction_loss_only:
|
| 644 |
+
value: false
|
| 645 |
+
problem_type:
|
| 646 |
+
value: null
|
| 647 |
+
project:
|
| 648 |
+
value: huggingface
|
| 649 |
+
push_to_hub:
|
| 650 |
+
value: false
|
| 651 |
+
ray_init_kwargs:
|
| 652 |
+
value: null
|
| 653 |
+
ray_num_workers:
|
| 654 |
+
value: 1
|
| 655 |
+
remove_unused_columns:
|
| 656 |
+
value: false
|
| 657 |
+
report_to:
|
| 658 |
+
value:
|
| 659 |
+
- wandb
|
| 660 |
+
restore_callback_states_from_checkpoint:
|
| 661 |
+
value: false
|
| 662 |
+
resume_from_checkpoint:
|
| 663 |
+
value: null
|
| 664 |
+
return_dict:
|
| 665 |
+
value: true
|
| 666 |
+
rms_norm_eps:
|
| 667 |
+
value: 1e-06
|
| 668 |
+
rope_parameters:
|
| 669 |
+
value:
|
| 670 |
+
rope_theta: 1000000
|
| 671 |
+
rope_type: default
|
| 672 |
+
run_name:
|
| 673 |
+
value: null
|
| 674 |
+
save_on_each_node:
|
| 675 |
+
value: false
|
| 676 |
+
save_only_model:
|
| 677 |
+
value: true
|
| 678 |
+
save_steps:
|
| 679 |
+
value: 1000
|
| 680 |
+
save_strategy:
|
| 681 |
+
value: steps
|
| 682 |
+
save_total_limit:
|
| 683 |
+
value: null
|
| 684 |
+
seed:
|
| 685 |
+
value: 42
|
| 686 |
+
skip_memory_metrics:
|
| 687 |
+
value: true
|
| 688 |
+
sliding_window:
|
| 689 |
+
value: null
|
| 690 |
+
sortish_sampler:
|
| 691 |
+
value: false
|
| 692 |
+
tf32:
|
| 693 |
+
value: null
|
| 694 |
+
tie_word_embeddings:
|
| 695 |
+
value: false
|
| 696 |
+
torch_compile:
|
| 697 |
+
value: false
|
| 698 |
+
torch_compile_backend:
|
| 699 |
+
value: null
|
| 700 |
+
torch_compile_mode:
|
| 701 |
+
value: null
|
| 702 |
+
torch_empty_cache_steps:
|
| 703 |
+
value: null
|
| 704 |
+
trackio_space_id:
|
| 705 |
+
value: trackio
|
| 706 |
+
transformers_version:
|
| 707 |
+
value: 5.0.0
|
| 708 |
+
use_cache:
|
| 709 |
+
value: false
|
| 710 |
+
use_cpu:
|
| 711 |
+
value: false
|
| 712 |
+
use_liger_kernel:
|
| 713 |
+
value: false
|
| 714 |
+
use_sliding_window:
|
| 715 |
+
value: false
|
| 716 |
+
vocab_size:
|
| 717 |
+
value: 151936
|
| 718 |
+
warmup_ratio:
|
| 719 |
+
value: 0.02
|
| 720 |
+
warmup_steps:
|
| 721 |
+
value: 0.02
|
| 722 |
+
weight_decay:
|
| 723 |
+
value: 0
|
LlamaFactory/wandb/run-20260205_074050-63c40qxy/files/requirements.txt
ADDED
|
@@ -0,0 +1,257 @@
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pytz==2025.2
|
| 2 |
+
pydub==0.25.1
|
| 3 |
+
brotli==1.2.0
|
| 4 |
+
antlr4-python3-runtime==4.9.3
|
| 5 |
+
xxhash==3.6.0
|
| 6 |
+
websockets==15.0.1
|
| 7 |
+
tzdata==2025.3
|
| 8 |
+
typing_extensions==4.15.0
|
| 9 |
+
tqdm==4.67.3
|
| 10 |
+
tomlkit==0.13.3
|
| 11 |
+
termcolor==3.3.0
|
| 12 |
+
shtab==1.8.0
|
| 13 |
+
shellingham==1.5.4
|
| 14 |
+
sentencepiece==0.2.1
|
| 15 |
+
semantic-version==2.10.0
|
| 16 |
+
safetensors==0.7.0
|
| 17 |
+
ruff==0.15.0
|
| 18 |
+
regex==2026.1.15
|
| 19 |
+
python-multipart==0.0.22
|
| 20 |
+
pyparsing==3.3.2
|
| 21 |
+
pyarrow==23.0.0
|
| 22 |
+
protobuf==6.33.5
|
| 23 |
+
propcache==0.4.1
|
| 24 |
+
orjson==3.11.7
|
| 25 |
+
omegaconf==2.3.0
|
| 26 |
+
numpy==2.4.2
|
| 27 |
+
multidict==6.7.1
|
| 28 |
+
mdurl==0.1.2
|
| 29 |
+
kiwisolver==1.4.9
|
| 30 |
+
hf-xet==1.2.0
|
| 31 |
+
hf_transfer==0.1.9
|
| 32 |
+
groovy==0.1.2
|
| 33 |
+
frozenlist==1.8.0
|
| 34 |
+
fonttools==4.61.1
|
| 35 |
+
ffmpy==1.0.0
|
| 36 |
+
einops==0.8.2
|
| 37 |
+
docstring_parser==0.17.0
|
| 38 |
+
dill==0.3.8
|
| 39 |
+
cycler==0.12.1
|
| 40 |
+
click==8.3.1
|
| 41 |
+
av==16.0.0
|
| 42 |
+
annotated-types==0.7.0
|
| 43 |
+
annotated-doc==0.0.4
|
| 44 |
+
aiohappyeyeballs==2.6.1
|
| 45 |
+
aiofiles==24.1.0
|
| 46 |
+
yarl==1.22.0
|
| 47 |
+
uvicorn==0.40.0
|
| 48 |
+
typing-inspection==0.4.2
|
| 49 |
+
typer-slim==0.21.1
|
| 50 |
+
tiktoken==0.12.0
|
| 51 |
+
scipy==1.17.0
|
| 52 |
+
pydantic_core==2.41.4
|
| 53 |
+
pandas==2.3.3
|
| 54 |
+
multiprocess==0.70.16
|
| 55 |
+
modelscope==1.34.0
|
| 56 |
+
markdown-it-py==4.0.0
|
| 57 |
+
fire==0.7.1
|
| 58 |
+
contourpy==1.3.3
|
| 59 |
+
anyio==4.12.1
|
| 60 |
+
aiosignal==1.4.0
|
| 61 |
+
starlette==0.50.0
|
| 62 |
+
rich==14.3.2
|
| 63 |
+
pydantic==2.12.3
|
| 64 |
+
matplotlib==3.10.8
|
| 65 |
+
aiohttp==3.13.3
|
| 66 |
+
tyro==0.8.14
|
| 67 |
+
typer==0.21.1
|
| 68 |
+
torchdata==0.11.0
|
| 69 |
+
sse-starlette==3.2.0
|
| 70 |
+
safehttpx==0.1.7
|
| 71 |
+
huggingface_hub==1.4.0
|
| 72 |
+
fastapi==0.128.1
|
| 73 |
+
tokenizers==0.22.2
|
| 74 |
+
gradio_client==1.14.0
|
| 75 |
+
datasets==4.0.0
|
| 76 |
+
accelerate==1.11.0
|
| 77 |
+
transformers==5.0.0
|
| 78 |
+
gradio==5.50.0
|
| 79 |
+
trl==0.24.0
|
| 80 |
+
peft==0.18.1
|
| 81 |
+
llamafactory==0.9.5.dev0
|
| 82 |
+
jieba==0.42.1
|
| 83 |
+
rouge-chinese==1.0.3
|
| 84 |
+
joblib==1.5.3
|
| 85 |
+
nltk==3.9.2
|
| 86 |
+
py-cpuinfo==9.0.0
|
| 87 |
+
nvidia-ml-py==13.590.48
|
| 88 |
+
hjson==3.1.0
|
| 89 |
+
ninja==1.13.0
|
| 90 |
+
msgpack==1.1.2
|
| 91 |
+
deepspeed==0.16.9
|
| 92 |
+
smmap==5.0.2
|
| 93 |
+
sentry-sdk==2.52.0
|
| 94 |
+
gitdb==4.0.12
|
| 95 |
+
GitPython==3.1.46
|
| 96 |
+
wandb==0.24.2
|
| 97 |
+
entrypoints==0.4
|
| 98 |
+
jupyter_client==7.4.9
|
| 99 |
+
nbclassic==1.1.0
|
| 100 |
+
notebook==6.5.5
|
| 101 |
+
pyzmq==24.0.1
|
| 102 |
+
PyYAML==6.0.2
|
| 103 |
+
Send2Trash==1.8.3
|
| 104 |
+
argon2-cffi==23.1.0
|
| 105 |
+
argon2-cffi-bindings==21.2.0
|
| 106 |
+
arrow==1.3.0
|
| 107 |
+
asttokens==2.4.1
|
| 108 |
+
async-lru==2.0.4
|
| 109 |
+
attrs==24.2.0
|
| 110 |
+
babel==2.16.0
|
| 111 |
+
beautifulsoup4==4.12.3
|
| 112 |
+
bleach==6.1.0
|
| 113 |
+
certifi==2024.8.30
|
| 114 |
+
cffi==1.17.1
|
| 115 |
+
charset-normalizer==3.3.2
|
| 116 |
+
comm==0.2.2
|
| 117 |
+
debugpy==1.8.5
|
| 118 |
+
decorator==5.1.1
|
| 119 |
+
defusedxml==0.7.1
|
| 120 |
+
executing==2.1.0
|
| 121 |
+
fastjsonschema==2.20.0
|
| 122 |
+
fqdn==1.5.1
|
| 123 |
+
h11==0.14.0
|
| 124 |
+
httpcore==1.0.5
|
| 125 |
+
httpx==0.27.2
|
| 126 |
+
idna==3.10
|
| 127 |
+
ipykernel==6.29.5
|
| 128 |
+
ipython==8.27.0
|
| 129 |
+
ipython-genutils==0.2.0
|
| 130 |
+
ipywidgets==8.1.5
|
| 131 |
+
isoduration==20.11.0
|
| 132 |
+
jedi==0.19.1
|
| 133 |
+
json5==0.9.25
|
| 134 |
+
jsonpointer==3.0.0
|
| 135 |
+
jsonschema==4.23.0
|
| 136 |
+
jsonschema-specifications==2023.12.1
|
| 137 |
+
jupyter-archive==3.4.0
|
| 138 |
+
jupyter_contrib_core==0.4.2
|
| 139 |
+
jupyter_contrib_nbextensions==0.7.0
|
| 140 |
+
jupyter_core==5.7.2
|
| 141 |
+
jupyter-events==0.10.0
|
| 142 |
+
jupyter-highlight-selected-word==0.2.0
|
| 143 |
+
jupyter-lsp==2.2.5
|
| 144 |
+
jupyter_nbextensions_configurator==0.6.4
|
| 145 |
+
jupyter_server==2.14.2
|
| 146 |
+
jupyter_server_terminals==0.5.3
|
| 147 |
+
jupyterlab==4.2.5
|
| 148 |
+
jupyterlab_pygments==0.3.0
|
| 149 |
+
jupyterlab_server==2.27.3
|
| 150 |
+
jupyterlab_widgets==3.0.13
|
| 151 |
+
lxml==5.3.0
|
| 152 |
+
matplotlib-inline==0.1.7
|
| 153 |
+
mistune==3.0.2
|
| 154 |
+
nbclient==0.10.0
|
| 155 |
+
nbconvert==7.16.4
|
| 156 |
+
nbformat==5.10.4
|
| 157 |
+
nest-asyncio==1.6.0
|
| 158 |
+
notebook_shim==0.2.4
|
| 159 |
+
overrides==7.7.0
|
| 160 |
+
packaging==24.1
|
| 161 |
+
pandocfilters==1.5.1
|
| 162 |
+
parso==0.8.4
|
| 163 |
+
pexpect==4.9.0
|
| 164 |
+
platformdirs==4.3.6
|
| 165 |
+
prometheus_client==0.21.0
|
| 166 |
+
prompt_toolkit==3.0.47
|
| 167 |
+
psutil==6.0.0
|
| 168 |
+
ptyprocess==0.7.0
|
| 169 |
+
pure_eval==0.2.3
|
| 170 |
+
pycparser==2.22
|
| 171 |
+
Pygments==2.18.0
|
| 172 |
+
python-dateutil==2.9.0.post0
|
| 173 |
+
python-json-logger==2.0.7
|
| 174 |
+
referencing==0.35.1
|
| 175 |
+
requests==2.32.3
|
| 176 |
+
rfc3339-validator==0.1.4
|
| 177 |
+
rfc3986-validator==0.1.1
|
| 178 |
+
rpds-py==0.20.0
|
| 179 |
+
sniffio==1.3.1
|
| 180 |
+
soupsieve==2.6
|
| 181 |
+
stack-data==0.6.3
|
| 182 |
+
terminado==0.18.1
|
| 183 |
+
tinycss2==1.3.0
|
| 184 |
+
tornado==6.4.1
|
| 185 |
+
traitlets==5.14.3
|
| 186 |
+
types-python-dateutil==2.9.0.20240906
|
| 187 |
+
uri-template==1.3.0
|
| 188 |
+
urllib3==2.2.3
|
| 189 |
+
wcwidth==0.2.13
|
| 190 |
+
webcolors==24.8.0
|
| 191 |
+
webencodings==0.5.1
|
| 192 |
+
websocket-client==1.8.0
|
| 193 |
+
widgetsnbextension==4.0.13
|
| 194 |
+
Jinja2==3.1.3
|
| 195 |
+
MarkupSafe==2.1.5
|
| 196 |
+
filelock==3.13.1
|
| 197 |
+
fsspec==2024.2.0
|
| 198 |
+
mpmath==1.3.0
|
| 199 |
+
networkx==3.2.1
|
| 200 |
+
nvidia-cublas-cu12==12.4.2.65
|
| 201 |
+
nvidia-cuda-cupti-cu12==12.4.99
|
| 202 |
+
nvidia-cuda-nvrtc-cu12==12.4.99
|
| 203 |
+
nvidia-cuda-runtime-cu12==12.4.99
|
| 204 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 205 |
+
nvidia-cufft-cu12==11.2.0.44
|
| 206 |
+
nvidia-curand-cu12==10.3.5.119
|
| 207 |
+
nvidia-cusolver-cu12==11.6.0.99
|
| 208 |
+
nvidia-cusparse-cu12==12.3.0.142
|
| 209 |
+
nvidia-nccl-cu12==2.20.5
|
| 210 |
+
nvidia-nvjitlink-cu12==12.4.99
|
| 211 |
+
nvidia-nvtx-cu12==12.4.99
|
| 212 |
+
pillow==10.2.0
|
| 213 |
+
sympy==1.12
|
| 214 |
+
torch==2.4.1+cu124
|
| 215 |
+
torchaudio==2.4.1+cu124
|
| 216 |
+
torchvision==0.19.1+cu124
|
| 217 |
+
triton==3.0.0
|
| 218 |
+
pip==24.2
|
| 219 |
+
setuptools==75.1.0
|
| 220 |
+
wheel==0.44.0
|
| 221 |
+
PyGObject==3.42.1
|
| 222 |
+
PyJWT==2.3.0
|
| 223 |
+
SecretStorage==3.3.1
|
| 224 |
+
blinker==1.4
|
| 225 |
+
cryptography==3.4.8
|
| 226 |
+
dbus-python==1.2.18
|
| 227 |
+
distro==1.7.0
|
| 228 |
+
httplib2==0.20.2
|
| 229 |
+
importlib-metadata==4.6.4
|
| 230 |
+
jeepney==0.7.1
|
| 231 |
+
keyring==23.5.0
|
| 232 |
+
launchpadlib==1.10.16
|
| 233 |
+
lazr.restfulclient==0.14.4
|
| 234 |
+
lazr.uri==1.0.6
|
| 235 |
+
more-itertools==8.10.0
|
| 236 |
+
oauthlib==3.2.0
|
| 237 |
+
python-apt==2.4.0+ubuntu4
|
| 238 |
+
six==1.16.0
|
| 239 |
+
wadllib==1.3.6
|
| 240 |
+
zipp==1.0.0
|
| 241 |
+
autocommand==2.2.2
|
| 242 |
+
backports.tarfile==1.2.0
|
| 243 |
+
importlib_metadata==8.0.0
|
| 244 |
+
importlib_resources==6.4.0
|
| 245 |
+
inflect==7.3.1
|
| 246 |
+
jaraco.collections==5.1.0
|
| 247 |
+
jaraco.context==5.3.0
|
| 248 |
+
jaraco.functools==4.0.1
|
| 249 |
+
jaraco.text==3.12.1
|
| 250 |
+
more-itertools==10.3.0
|
| 251 |
+
packaging==24.1
|
| 252 |
+
platformdirs==4.2.2
|
| 253 |
+
tomli==2.0.1
|
| 254 |
+
typeguard==4.3.0
|
| 255 |
+
typing_extensions==4.12.2
|
| 256 |
+
wheel==0.43.0
|
| 257 |
+
zipp==3.19.2
|
LlamaFactory/wandb/run-20260205_074050-63c40qxy/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-78-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.11.10",
|
| 4 |
+
"startedAt": "2026-02-05T07:40:50.642512Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"/workspace/v127rc_exp1/B_mup.yaml"
|
| 7 |
+
],
|
| 8 |
+
"program": "/usr/local/bin/llamafactory-cli",
|
| 9 |
+
"git": {
|
| 10 |
+
"remote": "https://github.com/hiyouga/LlamaFactory.git",
|
| 11 |
+
"commit": "1a02717fa84c270d1c156c4c4a391c2f95525a63"
|
| 12 |
+
},
|
| 13 |
+
"email": "markmochi200@gmail.com",
|
| 14 |
+
"root": "/workspace/LlamaFactory",
|
| 15 |
+
"host": "540de1d49753",
|
| 16 |
+
"executable": "/usr/bin/python",
|
| 17 |
+
"cpu_count": 24,
|
| 18 |
+
"cpu_count_logical": 48,
|
| 19 |
+
"gpu": "NVIDIA GeForce RTX 4090",
|
| 20 |
+
"gpu_count": 1,
|
| 21 |
+
"disk": {
|
| 22 |
+
"/": {
|
| 23 |
+
"total": "21474836480",
|
| 24 |
+
"used": "2414051328"
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"memory": {
|
| 28 |
+
"total": "270100414464"
|
| 29 |
+
},
|
| 30 |
+
"gpu_nvidia": [
|
| 31 |
+
{
|
| 32 |
+
"name": "NVIDIA GeForce RTX 4090",
|
| 33 |
+
"memoryTotal": "25757220864",
|
| 34 |
+
"cudaCores": 16384,
|
| 35 |
+
"architecture": "Ada",
|
| 36 |
+
"uuid": "GPU-64f7ee9c-3f46-4f01-74c0-f57a6e56968a"
|
| 37 |
+
}
|
| 38 |
+
],
|
| 39 |
+
"cudaVersion": "12.8",
|
| 40 |
+
"writerId": "m15pzb5bw8fbrm1kn15f02cv2o8axrnb"
|
| 41 |
+
}
|
LlamaFactory/wandb/run-20260205_074050-63c40qxy/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"train_steps_per_second":0.942,"train/epoch":5,"train_loss":0.025983464172169894,"train/grad_norm":0.08169613033533096,"_runtime":161229,"train/num_input_tokens_seen":310857420,"train/learning_rate":5.570260919185444e-15,"train/train_tokens_per_second":1928.177,"train_runtime":161223.8419,"train_samples_per_second":0.942,"_timestamp":1.7704384740298996e+09,"total_flos":1.419757796902441e+19,"train/global_step":151860,"_wandb":{"runtime":161229},"train/loss":0.013144368305802345,"_step":151860}
|
LlamaFactory/wandb/run-20260205_074050-63c40qxy/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-02-05T07:40:50.941923145Z","level":"INFO","msg":"stream: starting","core version":"0.24.2"}
|
| 2 |
+
{"time":"2026-02-05T07:40:51.29954609Z","level":"INFO","msg":"stream: created new stream","id":"63c40qxy"}
|
| 3 |
+
{"time":"2026-02-05T07:40:51.300347384Z","level":"INFO","msg":"handler: started","stream_id":"63c40qxy"}
|
| 4 |
+
{"time":"2026-02-05T07:40:51.3025576Z","level":"INFO","msg":"stream: started","id":"63c40qxy"}
|
| 5 |
+
{"time":"2026-02-05T07:40:51.302595101Z","level":"INFO","msg":"writer: started","stream_id":"63c40qxy"}
|
| 6 |
+
{"time":"2026-02-05T07:40:51.302604391Z","level":"INFO","msg":"sender: started","stream_id":"63c40qxy"}
|
| 7 |
+
{"time":"2026-02-06T20:26:51.942845343Z","level":"INFO","msg":"api: retrying HTTP error","status":502,"url":"https://api.wandb.ai/files/markmochi200-linksome-ai/llamafactory/63c40qxy/file_stream","body":"\n<html><head>\n<meta http-equiv=\"content-type\" content=\"text/html;charset=utf-8\">\n<title>502 Server Error</title>\n</head>\n<body text=#000000 bgcolor=#ffffff>\n<h1>Error: Server Error</h1>\n<h2>The server encountered a temporary error and could not complete your request.<p>Please try again in 30 seconds.</h2>\n<h2></h2>\n</body></html>\n"}
|
| 8 |
+
{"time":"2026-02-07T04:28:00.95034651Z","level":"INFO","msg":"stream: closing","id":"63c40qxy"}
|
| 9 |
+
{"time":"2026-02-07T04:28:04.143895875Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 10 |
+
{"time":"2026-02-07T04:28:04.395109247Z","level":"INFO","msg":"handler: closed","stream_id":"63c40qxy"}
|
| 11 |
+
{"time":"2026-02-07T04:28:04.404712936Z","level":"INFO","msg":"sender: closed","stream_id":"63c40qxy"}
|
| 12 |
+
{"time":"2026-02-07T04:28:04.405386166Z","level":"INFO","msg":"stream: closed","id":"63c40qxy"}
|
LlamaFactory/wandb/run-20260205_074050-63c40qxy/logs/debug.log
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-02-05 07:40:50,676 INFO MainThread:476 [wandb_setup.py:_flush():81] Current SDK version is 0.24.2
|
| 2 |
+
2026-02-05 07:40:50,677 INFO MainThread:476 [wandb_setup.py:_flush():81] Configure stats pid to 476
|
| 3 |
+
2026-02-05 07:40:50,677 INFO MainThread:476 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-02-05 07:40:50,678 INFO MainThread:476 [wandb_init.py:setup_run_log_directory():717] Logging user logs to /workspace/LlamaFactory/wandb/run-20260205_074050-63c40qxy/logs/debug.log
|
| 5 |
+
2026-02-05 07:40:50,679 INFO MainThread:476 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /workspace/LlamaFactory/wandb/run-20260205_074050-63c40qxy/logs/debug-internal.log
|
| 6 |
+
2026-02-05 07:40:50,680 INFO MainThread:476 [wandb_init.py:init():844] calling init triggers
|
| 7 |
+
2026-02-05 07:40:50,680 INFO MainThread:476 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'_wandb': {}}
|
| 9 |
+
2026-02-05 07:40:50,681 INFO MainThread:476 [wandb_init.py:init():892] starting backend
|
| 10 |
+
2026-02-05 07:40:50,925 INFO MainThread:476 [wandb_init.py:init():895] sending inform_init request
|
| 11 |
+
2026-02-05 07:40:50,936 INFO MainThread:476 [wandb_init.py:init():903] backend started and connected
|
| 12 |
+
2026-02-05 07:40:50,941 INFO MainThread:476 [wandb_init.py:init():973] updated telemetry
|
| 13 |
+
2026-02-05 07:40:51,025 INFO MainThread:476 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-02-05 07:40:51,583 INFO MainThread:476 [wandb_init.py:init():1042] starting run threads in backend
|
| 15 |
+
2026-02-05 07:40:51,760 INFO MainThread:476 [wandb_run.py:_console_start():2529] atexit reg
|
| 16 |
+
2026-02-05 07:40:51,772 INFO MainThread:476 [wandb_run.py:_redirect():2377] redirect: wrap_raw
|
| 17 |
+
2026-02-05 07:40:51,775 INFO MainThread:476 [wandb_run.py:_redirect():2446] Wrapping output streams.
|
| 18 |
+
2026-02-05 07:40:51,777 INFO MainThread:476 [wandb_run.py:_redirect():2469] Redirects installed.
|
| 19 |
+
2026-02-05 07:40:51,781 INFO MainThread:476 [wandb_init.py:init():1082] run started, returning control to user process
|
| 20 |
+
2026-02-05 07:40:51,783 INFO MainThread:476 [wandb_run.py:_config_callback():1404] config_cb None None {'peft_config': {'default': {'task_type': 'CAUSAL_LM', 'peft_type': 'LORA', 'auto_mapping': None, 'peft_version': '0.18.1', 'base_model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': ['q_proj', 'up_proj', 'gate_proj', 'down_proj', 'k_proj', 'v_proj', 'o_proj'], 'exclude_modules': None, 'lora_alpha': 32, 'lora_dropout': 0.03, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'alora_invocation_tokens': None, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False, 'target_parameters': None, 'arrow_config': None, 'ensure_weight_tying': False}}, 'vocab_size': 151936, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 12288, 'num_hidden_layers': 36, 'num_attention_heads': 32, 'use_sliding_window': False, 'sliding_window': None, 'max_window_layers': 36, 'num_key_value_heads': 8, 'head_dim': 128, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'attention_bias': False, 'attention_dropout': 0.0, 'layer_types': ['full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention'], 'pad_token_id': 151643, 'bos_token_id': None, 'eos_token_id': 151645, 'tie_word_embeddings': False, 'rope_parameters': {'rope_theta': 1000000, 'rope_type': 'default'}, 'return_dict': True, 'output_hidden_states': False, 'dtype': 'bfloat16', 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'architectures': ['Qwen3ForCausalLM'], 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, '_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'transformers_version': '5.0.0', 'model_type': 'qwen3', 'output_attentions': False, 'output_dir': '/workspace/v127rc_exp1/B_mup', 'do_train': True, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 1, 'per_device_eval_batch_size': 8, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0, 'adam_beta1': 0.9, 'adam_beta2': 0.95, 'adam_epsilon': 1e-08, 'max_grad_norm': 1, 'num_train_epochs': 5, 'max_steps': -1, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': None, 'warmup_ratio': 0.02, 'warmup_steps': 0.02, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': None, 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 1000, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'use_cpu': False, 'seed': 42, 'data_seed': None, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': -1, 'ddp_backend': None, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': ['labels'], 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'auto_find_batch_size': False, 'full_determinism': False, 'ddp_timeout': 180000000, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_num_input_tokens_seen': 'all', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'sortish_sampler': False, 'predict_with_generate': False, 'generation_max_length': 2047, 'generation_num_beams': None, 'generation_config': None, 'ray_num_workers': 1, 'ray_init_kwargs': None, 'master_addr': None, 'master_port': None, 'fp8': False, 'fp8_backend': 'auto', 'fp8_enable_fsdp_float8_all_gather': False, 'overwrite_output_dir': False}
|
| 21 |
+
2026-02-05 07:40:51,797 INFO MainThread:476 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 8234382336 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x77d54498b790>>
|
| 22 |
+
2026-02-05 07:40:51,798 INFO MainThread:476 [wandb_run.py:_config_callback():1404] config_cb model/num_parameters 8234382336 None
|
| 23 |
+
2026-02-05 07:40:51,802 INFO MainThread:476 [wandb_run.py:_config_callback():1404] config_cb None None {'model_args': {'model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'adapter_name_or_path': None, 'adapter_folder': None, 'cache_dir': None, 'use_fast_tokenizer': True, 'resize_vocab': False, 'split_special_tokens': False, 'add_tokens': None, 'add_special_tokens': None, 'new_special_tokens_config': None, 'init_special_tokens': 'noise_init', 'model_revision': 'main', 'low_cpu_mem_usage': True, 'rope_scaling': None, 'flash_attn': 'auto', 'shift_attn': False, 'mixture_of_depths': None, 'use_unsloth': False, 'use_unsloth_gc': False, 'enable_liger_kernel': False, 'moe_aux_loss_coef': None, 'disable_gradient_checkpointing': False, 'use_reentrant_gc': True, 'upcast_layernorm': False, 'upcast_lmhead_output': False, 'train_from_scratch': False, 'infer_backend': 'HF', 'offload_folder': 'offload', 'use_kv_cache': True, 'use_v1_kernels': False, 'infer_dtype': 'auto', 'hf_hub_token': '<HF_HUB_TOKEN>', 'ms_hub_token': '<MS_HUB_TOKEN>', 'om_hub_token': '<OM_HUB_TOKEN>', 'print_param_status': False, 'trust_remote_code': True, 'quantization_method': 'BNB', 'quantization_bit': None, 'quantization_type': 'nf4', 'double_quantization': True, 'quantization_device_map': None, 'image_max_pixels': 589824, 'image_min_pixels': 1024, 'image_do_pan_and_scan': False, 'crop_to_patches': False, 'video_max_pixels': 65536, 'video_min_pixels': 256, 'video_fps': 2.0, 'video_maxlen': 128, 'use_audio_in_video': False, 'audio_sampling_rate': 16000, 'export_dir': None, 'export_size': 5, 'export_device': 'cpu', 'export_quantization_bit': None, 'export_quantization_dataset': None, 'export_quantization_nsamples': 128, 'export_quantization_maxlen': 1024, 'export_legacy_format': False, 'export_hub_model_id': None, 'use_kt': False, 'kt_optimize_rule': None, 'cpu_infer': 32, 'chunk_size': 8192, 'mode': 'normal', 'kt_maxlen': 4096, 'kt_use_cuda_graph': True, 'kt_mode': 'normal', 'kt_force_think': False, 'vllm_maxlen': 4096, 'vllm_gpu_util': 0.7, 'vllm_enforce_eager': False, 'vllm_max_lora_rank': 32, 'vllm_config': None, 'sglang_maxlen': 4096, 'sglang_mem_fraction': 0.7, 'sglang_tp_size': -1, 'sglang_config': None, 'sglang_lora_backend': 'triton', 'compute_dtype': 'torch.bfloat16', 'device_map': {'': 'cuda:0'}, 'model_max_length': 2047, 'block_diag_attn': False}, 'data_args': {'template': 'qwen3_nothink', 'dataset': ['Markie_Voss_t35_d286_r1'], 'eval_dataset': None, 'dataset_dir': '/workspace/LlamaFactory/data', 'media_dir': '/workspace/LlamaFactory/data', 'cutoff_len': 2047, 'train_on_prompt': False, 'mask_history': False, 'streaming': False, 'buffer_size': 16384, 'mix_strategy': 'concat', 'interleave_probs': None, 'overwrite_cache': False, 'preprocessing_batch_size': 1000, 'preprocessing_num_workers': 16, 'max_samples': 100000000, 'eval_num_beams': None, 'ignore_pad_token_for_loss': True, 'val_size': 0.0, 'eval_on_each_dataset': False, 'packing': True, 'neat_packing': False, 'tool_format': None, 'default_system': None, 'enable_thinking': False, 'tokenized_path': None, 'data_shared_file_system': False}, 'finetuning_args': {'freeze_trainable_layers': 2, 'freeze_trainable_modules': ['all'], 'freeze_extra_modules': None, 'additional_target': None, 'module_dropout': 0.0, 'oft_rank': 0, 'oft_block_size': 32, 'oft_target': ['all'], 'create_new_adapter': False, 'lora_alpha': 32, 'lora_dropout': 0.03, 'lora_rank': 16, 'lora_target': ['all'], 'loraplus_lr_ratio': None, 'loraplus_lr_embedding': 1e-06, 'use_rslora': False, 'use_dora': False, 'pissa_init': False, 'pissa_iter': 16, 'pissa_convert': False, 'pref_beta': 0.1, 'pref_ftx': 0.0, 'pref_bco_weight': 0.0, 'pref_loss': 'sigmoid', 'dpo_label_smoothing': 0.0, 'kto_chosen_weight': 1.0, 'kto_rejected_weight': 1.0, 'simpo_gamma': 0.5, 'ppo_buffer_size': 1, 'ppo_epochs': 4, 'ppo_score_norm': False, 'ppo_target': 6.0, 'ppo_whiten_rewards': False, 'ref_model': None, 'ref_model_adapters': None, 'ref_model_quantization_bit': None, 'reward_model': None, 'reward_model_adapters': None, 'reward_model_quantization_bit': None, 'reward_model_type': 'lora', 'ld_alpha': None, 'use_galore': False, 'galore_target': ['all'], 'galore_rank': 16, 'galore_update_interval': 200, 'galore_scale': 2.0, 'galore_proj_type': 'std', 'galore_layerwise': False, 'use_apollo': False, 'apollo_target': ['all'], 'apollo_rank': 16, 'apollo_update_interval': 200, 'apollo_scale': 32.0, 'apollo_proj': 'random', 'apollo_proj_type': 'std', 'apollo_scale_type': 'channel', 'apollo_layerwise': False, 'apollo_scale_front': False, 'use_badam': False, 'badam_mode': 'layer', 'badam_start_block': None, 'badam_switch_mode': 'ascending', 'badam_switch_interval': 50, 'badam_update_ratio': 0.05, 'badam_mask_mode': 'adjacent', 'badam_verbose': 0, 'use_swanlab': False, 'swanlab_project': 'llamafactory', 'swanlab_workspace': None, 'swanlab_run_name': None, 'swanlab_mode': 'cloud', 'swanlab_api_key': '<SWANLAB_API_KEY>', 'swanlab_logdir': None, 'swanlab_lark_webhook_url': None, 'swanlab_lark_secret': None, 'pure_bf16': False, 'stage': 'pt', 'finetuning_type': 'lora', 'use_llama_pro': False, 'use_adam_mini': False, 'use_mca': False, 'use_muon': False, 'use_dft_loss': False, 'use_eaft_loss': False, 'eaft_alpha': 1.0, 'freeze_vision_tower': True, 'freeze_multi_modal_projector': True, 'freeze_language_model': False, 'compute_accuracy': False, 'disable_shuffling': False, 'early_stopping_steps': None, 'plot_loss': True, 'include_effective_tokens_per_second': False}, 'generating_args': {'do_sample': True, 'temperature': 0.95, 'top_p': 0.7, 'top_k': 50, 'num_beams': 1, 'max_new_tokens': 1024, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'skip_special_tokens': True}}
|
| 24 |
+
2026-02-07 04:28:00,950 INFO wandb-AsyncioManager-main:476 [service_client.py:_forward_responses():94] Reached EOF.
|
| 25 |
+
2026-02-07 04:28:00,951 INFO wandb-AsyncioManager-main:476 [mailbox.py:close():154] Closing mailbox, abandoning 1 handles.
|
LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/config.yaml
ADDED
|
@@ -0,0 +1,723 @@
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: /workspace/Qwen/Qwen3-8B-Base
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.24.2
|
| 6 |
+
e:
|
| 7 |
+
n349ejidifao2bsbyv1vqxhikiyr57gh:
|
| 8 |
+
args:
|
| 9 |
+
- /workspace/v127rc_exp2/B_dup.yaml
|
| 10 |
+
cpu_count: 16
|
| 11 |
+
cpu_count_logical: 32
|
| 12 |
+
cudaVersion: "12.8"
|
| 13 |
+
disk:
|
| 14 |
+
/:
|
| 15 |
+
total: "21474836480"
|
| 16 |
+
used: "2060386304"
|
| 17 |
+
email: markmochi200@gmail.com
|
| 18 |
+
executable: /usr/bin/python
|
| 19 |
+
git:
|
| 20 |
+
commit: 1a02717fa84c270d1c156c4c4a391c2f95525a63
|
| 21 |
+
remote: https://github.com/hiyouga/LlamaFactory.git
|
| 22 |
+
gpu: NVIDIA GeForce RTX 4090
|
| 23 |
+
gpu_count: 1
|
| 24 |
+
gpu_nvidia:
|
| 25 |
+
- architecture: Ada
|
| 26 |
+
cudaCores: 16384
|
| 27 |
+
memoryTotal: "25757220864"
|
| 28 |
+
name: NVIDIA GeForce RTX 4090
|
| 29 |
+
uuid: GPU-5c963f5e-1505-b56d-adf2-0ab9c4a32166
|
| 30 |
+
host: 7bc9cc925966
|
| 31 |
+
memory:
|
| 32 |
+
total: "134123229184"
|
| 33 |
+
os: Linux-6.8.0-79-generic-x86_64-with-glibc2.35
|
| 34 |
+
program: /usr/local/bin/llamafactory-cli
|
| 35 |
+
python: CPython 3.11.10
|
| 36 |
+
root: /workspace/LlamaFactory
|
| 37 |
+
startedAt: "2026-02-09T07:31:58.346206Z"
|
| 38 |
+
writerId: n349ejidifao2bsbyv1vqxhikiyr57gh
|
| 39 |
+
m:
|
| 40 |
+
- "1": train/global_step
|
| 41 |
+
"6":
|
| 42 |
+
- 3
|
| 43 |
+
"7": []
|
| 44 |
+
- "2": '*'
|
| 45 |
+
"5": 1
|
| 46 |
+
"6":
|
| 47 |
+
- 1
|
| 48 |
+
"7": []
|
| 49 |
+
python_version: 3.11.10
|
| 50 |
+
t:
|
| 51 |
+
"1":
|
| 52 |
+
- 1
|
| 53 |
+
- 11
|
| 54 |
+
- 41
|
| 55 |
+
- 49
|
| 56 |
+
- 51
|
| 57 |
+
- 71
|
| 58 |
+
- 84
|
| 59 |
+
- 98
|
| 60 |
+
- 105
|
| 61 |
+
"2":
|
| 62 |
+
- 1
|
| 63 |
+
- 11
|
| 64 |
+
- 41
|
| 65 |
+
- 49
|
| 66 |
+
- 51
|
| 67 |
+
- 71
|
| 68 |
+
- 84
|
| 69 |
+
- 98
|
| 70 |
+
- 105
|
| 71 |
+
"3":
|
| 72 |
+
- 7
|
| 73 |
+
- 19
|
| 74 |
+
- 62
|
| 75 |
+
- 66
|
| 76 |
+
"4": 3.11.10
|
| 77 |
+
"5": 0.24.2
|
| 78 |
+
"6": 5.0.0
|
| 79 |
+
"9":
|
| 80 |
+
"1": transformers_trainer
|
| 81 |
+
"12": 0.24.2
|
| 82 |
+
"13": linux-x86_64
|
| 83 |
+
accelerator_config:
|
| 84 |
+
value:
|
| 85 |
+
dispatch_batches: null
|
| 86 |
+
even_batches: true
|
| 87 |
+
gradient_accumulation_kwargs: null
|
| 88 |
+
non_blocking: false
|
| 89 |
+
split_batches: false
|
| 90 |
+
use_seedable_sampler: true
|
| 91 |
+
adam_beta1:
|
| 92 |
+
value: 0.9
|
| 93 |
+
adam_beta2:
|
| 94 |
+
value: 0.95
|
| 95 |
+
adam_epsilon:
|
| 96 |
+
value: 1e-08
|
| 97 |
+
architectures:
|
| 98 |
+
value:
|
| 99 |
+
- Qwen3ForCausalLM
|
| 100 |
+
attention_bias:
|
| 101 |
+
value: false
|
| 102 |
+
attention_dropout:
|
| 103 |
+
value: 0
|
| 104 |
+
auto_find_batch_size:
|
| 105 |
+
value: false
|
| 106 |
+
average_tokens_across_devices:
|
| 107 |
+
value: true
|
| 108 |
+
batch_eval_metrics:
|
| 109 |
+
value: false
|
| 110 |
+
bf16:
|
| 111 |
+
value: true
|
| 112 |
+
bf16_full_eval:
|
| 113 |
+
value: false
|
| 114 |
+
bos_token_id:
|
| 115 |
+
value: null
|
| 116 |
+
chunk_size_feed_forward:
|
| 117 |
+
value: 0
|
| 118 |
+
data_args:
|
| 119 |
+
value:
|
| 120 |
+
buffer_size: 16384
|
| 121 |
+
cutoff_len: 2047
|
| 122 |
+
data_shared_file_system: false
|
| 123 |
+
dataset:
|
| 124 |
+
- Markie_Voss_t0_d34_r300
|
| 125 |
+
dataset_dir: /workspace/LlamaFactory/data
|
| 126 |
+
default_system: null
|
| 127 |
+
enable_thinking: false
|
| 128 |
+
eval_dataset: null
|
| 129 |
+
eval_num_beams: null
|
| 130 |
+
eval_on_each_dataset: false
|
| 131 |
+
ignore_pad_token_for_loss: true
|
| 132 |
+
interleave_probs: null
|
| 133 |
+
mask_history: false
|
| 134 |
+
max_samples: 100000000
|
| 135 |
+
media_dir: /workspace/LlamaFactory/data
|
| 136 |
+
mix_strategy: concat
|
| 137 |
+
neat_packing: false
|
| 138 |
+
overwrite_cache: false
|
| 139 |
+
packing: true
|
| 140 |
+
preprocessing_batch_size: 1000
|
| 141 |
+
preprocessing_num_workers: 16
|
| 142 |
+
streaming: false
|
| 143 |
+
template: qwen3_nothink
|
| 144 |
+
tokenized_path: null
|
| 145 |
+
tool_format: null
|
| 146 |
+
train_on_prompt: false
|
| 147 |
+
val_size: 0
|
| 148 |
+
data_seed:
|
| 149 |
+
value: null
|
| 150 |
+
dataloader_drop_last:
|
| 151 |
+
value: false
|
| 152 |
+
dataloader_num_workers:
|
| 153 |
+
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export_size: 5
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new_special_tokens_config: null
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offload_folder: offload
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quantization_bit: null
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quantization_device_map: null
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quantization_method: BNB
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quantization_type: nf4
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rope_scaling: null
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sglang_mem_fraction: 0.7
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|
| 586 |
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overwrite_output_dir:
|
| 587 |
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|
| 588 |
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pad_token_id:
|
| 589 |
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value: 151643
|
| 590 |
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parallelism_config:
|
| 591 |
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value: null
|
| 592 |
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peft_config:
|
| 593 |
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value:
|
| 594 |
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default:
|
| 595 |
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alora_invocation_tokens: null
|
| 596 |
+
arrow_config: null
|
| 597 |
+
auto_mapping: null
|
| 598 |
+
base_model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
|
| 599 |
+
bias: none
|
| 600 |
+
corda_config: null
|
| 601 |
+
ensure_weight_tying: false
|
| 602 |
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eva_config: null
|
| 603 |
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exclude_modules: null
|
| 604 |
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fan_in_fan_out: false
|
| 605 |
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inference_mode: false
|
| 606 |
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init_lora_weights: true
|
| 607 |
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layer_replication: null
|
| 608 |
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layers_pattern: null
|
| 609 |
+
layers_to_transform: null
|
| 610 |
+
lora_alpha: 32
|
| 611 |
+
lora_bias: false
|
| 612 |
+
lora_dropout: 0.03
|
| 613 |
+
megatron_config: null
|
| 614 |
+
megatron_core: megatron.core
|
| 615 |
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modules_to_save: null
|
| 616 |
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peft_type: LORA
|
| 617 |
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peft_version: 0.18.1
|
| 618 |
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qalora_group_size: 16
|
| 619 |
+
r: 16
|
| 620 |
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revision: null
|
| 621 |
+
runtime_config:
|
| 622 |
+
ephemeral_gpu_offload: false
|
| 623 |
+
target_modules:
|
| 624 |
+
- v_proj
|
| 625 |
+
- up_proj
|
| 626 |
+
- o_proj
|
| 627 |
+
- k_proj
|
| 628 |
+
- down_proj
|
| 629 |
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- q_proj
|
| 630 |
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- gate_proj
|
| 631 |
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target_parameters: null
|
| 632 |
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task_type: CAUSAL_LM
|
| 633 |
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trainable_token_indices: null
|
| 634 |
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use_dora: false
|
| 635 |
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use_qalora: false
|
| 636 |
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use_rslora: false
|
| 637 |
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per_device_eval_batch_size:
|
| 638 |
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value: 8
|
| 639 |
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per_device_train_batch_size:
|
| 640 |
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value: 1
|
| 641 |
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predict_with_generate:
|
| 642 |
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value: false
|
| 643 |
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prediction_loss_only:
|
| 644 |
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value: false
|
| 645 |
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problem_type:
|
| 646 |
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value: null
|
| 647 |
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project:
|
| 648 |
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value: huggingface
|
| 649 |
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push_to_hub:
|
| 650 |
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value: false
|
| 651 |
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ray_init_kwargs:
|
| 652 |
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value: null
|
| 653 |
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ray_num_workers:
|
| 654 |
+
value: 1
|
| 655 |
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remove_unused_columns:
|
| 656 |
+
value: false
|
| 657 |
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report_to:
|
| 658 |
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value:
|
| 659 |
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- wandb
|
| 660 |
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restore_callback_states_from_checkpoint:
|
| 661 |
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value: false
|
| 662 |
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resume_from_checkpoint:
|
| 663 |
+
value: null
|
| 664 |
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return_dict:
|
| 665 |
+
value: true
|
| 666 |
+
rms_norm_eps:
|
| 667 |
+
value: 1e-06
|
| 668 |
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rope_parameters:
|
| 669 |
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value:
|
| 670 |
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rope_theta: 1000000
|
| 671 |
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rope_type: default
|
| 672 |
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run_name:
|
| 673 |
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value: null
|
| 674 |
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save_on_each_node:
|
| 675 |
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value: false
|
| 676 |
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save_only_model:
|
| 677 |
+
value: true
|
| 678 |
+
save_steps:
|
| 679 |
+
value: 1000
|
| 680 |
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save_strategy:
|
| 681 |
+
value: steps
|
| 682 |
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save_total_limit:
|
| 683 |
+
value: null
|
| 684 |
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seed:
|
| 685 |
+
value: 42
|
| 686 |
+
skip_memory_metrics:
|
| 687 |
+
value: true
|
| 688 |
+
sliding_window:
|
| 689 |
+
value: null
|
| 690 |
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sortish_sampler:
|
| 691 |
+
value: false
|
| 692 |
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tf32:
|
| 693 |
+
value: null
|
| 694 |
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tie_word_embeddings:
|
| 695 |
+
value: false
|
| 696 |
+
torch_compile:
|
| 697 |
+
value: false
|
| 698 |
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torch_compile_backend:
|
| 699 |
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value: null
|
| 700 |
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torch_compile_mode:
|
| 701 |
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value: null
|
| 702 |
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torch_empty_cache_steps:
|
| 703 |
+
value: null
|
| 704 |
+
trackio_space_id:
|
| 705 |
+
value: trackio
|
| 706 |
+
transformers_version:
|
| 707 |
+
value: 5.0.0
|
| 708 |
+
use_cache:
|
| 709 |
+
value: false
|
| 710 |
+
use_cpu:
|
| 711 |
+
value: false
|
| 712 |
+
use_liger_kernel:
|
| 713 |
+
value: false
|
| 714 |
+
use_sliding_window:
|
| 715 |
+
value: false
|
| 716 |
+
vocab_size:
|
| 717 |
+
value: 151936
|
| 718 |
+
warmup_ratio:
|
| 719 |
+
value: 0.02
|
| 720 |
+
warmup_steps:
|
| 721 |
+
value: 0.02
|
| 722 |
+
weight_decay:
|
| 723 |
+
value: 0
|
LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/output.log
ADDED
|
@@ -0,0 +1,370 @@
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| 1 |
+
0%| | 0/111360000 [00:00<?, ?it/s]/usr/local/lib/python3.11/dist-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
|
| 2 |
+
with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
|
| 3 |
+
|
| 4 |
+
{'loss': '1.197', 'grad_norm': '0.2202', 'learning_rate': '0', 'epoch': '8.98e-05', 'num_input_tokens_seen': 2047, 'train_runtime': '2.785', 'train_tokens_per_second': '735.1'}
|
| 5 |
+
{'loss': '0.8941', 'grad_norm': '0.2464', 'learning_rate': '2.245e-11', 'epoch': '0.0001796', 'num_input_tokens_seen': 4094, 'train_runtime': '3.804', 'train_tokens_per_second': '1076'}
|
| 6 |
+
{'loss': '1.578', 'grad_norm': '0.276', 'learning_rate': '4.49e-11', 'epoch': '0.0002694', 'num_input_tokens_seen': 6141, 'train_runtime': '4.825', 'train_tokens_per_second': '1273'}
|
| 7 |
+
{'loss': '1.147', 'grad_norm': '0.2449', 'learning_rate': '6.735e-11', 'epoch': '0.0003592', 'num_input_tokens_seen': 8188, 'train_runtime': '5.847', 'train_tokens_per_second': '1400'}
|
| 8 |
+
{'loss': '1.177', 'grad_norm': '0.2389', 'learning_rate': '8.98e-11', 'epoch': '0.000449', 'num_input_tokens_seen': 10235, 'train_runtime': '6.868', 'train_tokens_per_second': '1490'}
|
| 9 |
+
{'loss': '0.8562', 'grad_norm': '0.2245', 'learning_rate': '1.122e-10', 'epoch': '0.0005388', 'num_input_tokens_seen': 12282, 'train_runtime': '7.888', 'train_tokens_per_second': '1557'}
|
| 10 |
+
{'loss': '0.8777', 'grad_norm': '0.2269', 'learning_rate': '1.347e-10', 'epoch': '0.0006286', 'num_input_tokens_seen': 14329, 'train_runtime': '8.908', 'train_tokens_per_second': '1609'}
|
| 11 |
+
{'loss': '1.979', 'grad_norm': '0.3048', 'learning_rate': '1.571e-10', 'epoch': '0.0007184', 'num_input_tokens_seen': 16376, 'train_runtime': '9.929', 'train_tokens_per_second': '1649'}
|
| 12 |
+
{'loss': '2.057', 'grad_norm': '0.4388', 'learning_rate': '1.796e-10', 'epoch': '0.0008082', 'num_input_tokens_seen': 18423, 'train_runtime': '10.95', 'train_tokens_per_second': '1683'}
|
| 13 |
+
{'loss': '1.456', 'grad_norm': '0.2451', 'learning_rate': '2.02e-10', 'epoch': '0.000898', 'num_input_tokens_seen': 20470, 'train_runtime': '11.97', 'train_tokens_per_second': '1710'}
|
| 14 |
+
{'loss': '1.288', 'grad_norm': '0.2915', 'learning_rate': '2.245e-10', 'epoch': '0.0009878', 'num_input_tokens_seen': 22517, 'train_runtime': '12.99', 'train_tokens_per_second': '1734'}
|
| 15 |
+
{'loss': '1.279', 'grad_norm': '0.2925', 'learning_rate': '2.469e-10', 'epoch': '0.001078', 'num_input_tokens_seen': 24564, 'train_runtime': '14.01', 'train_tokens_per_second': '1753'}
|
| 16 |
+
{'loss': '0.8454', 'grad_norm': '0.2334', 'learning_rate': '2.694e-10', 'epoch': '0.001167', 'num_input_tokens_seen': 26611, 'train_runtime': '15.03', 'train_tokens_per_second': '1770'}
|
| 17 |
+
{'loss': '2.022', 'grad_norm': '0.3623', 'learning_rate': '2.918e-10', 'epoch': '0.001257', 'num_input_tokens_seen': 28658, 'train_runtime': '16.05', 'train_tokens_per_second': '1785'}
|
| 18 |
+
{'loss': '0.9637', 'grad_norm': '0.2062', 'learning_rate': '3.143e-10', 'epoch': '0.001347', 'num_input_tokens_seen': 30705, 'train_runtime': '17.08', 'train_tokens_per_second': '1798'}
|
| 19 |
+
{'loss': '1.163', 'grad_norm': '0.2303', 'learning_rate': '3.367e-10', 'epoch': '0.001437', 'num_input_tokens_seen': 32752, 'train_runtime': '18.1', 'train_tokens_per_second': '1809'}
|
| 20 |
+
{'loss': '1.264', 'grad_norm': '0.2524', 'learning_rate': '3.592e-10', 'epoch': '0.001527', 'num_input_tokens_seen': 34799, 'train_runtime': '19.12', 'train_tokens_per_second': '1820'}
|
| 21 |
+
{'loss': '0.9085', 'grad_norm': '0.2419', 'learning_rate': '3.816e-10', 'epoch': '0.001616', 'num_input_tokens_seen': 36846, 'train_runtime': '20.14', 'train_tokens_per_second': '1829'}
|
| 22 |
+
{'loss': '1.177', 'grad_norm': '0.2252', 'learning_rate': '4.041e-10', 'epoch': '0.001706', 'num_input_tokens_seen': 38893, 'train_runtime': '21.17', 'train_tokens_per_second': '1838'}
|
| 23 |
+
{'loss': '1.28', 'grad_norm': '0.2416', 'learning_rate': '4.265e-10', 'epoch': '0.001796', 'num_input_tokens_seen': 40940, 'train_runtime': '22.19', 'train_tokens_per_second': '1845'}
|
| 24 |
+
{'loss': '1.876', 'grad_norm': '0.2939', 'learning_rate': '4.49e-10', 'epoch': '0.001886', 'num_input_tokens_seen': 42987, 'train_runtime': '23.21', 'train_tokens_per_second': '1852'}
|
| 25 |
+
{'loss': '0.9678', 'grad_norm': '0.2171', 'learning_rate': '4.714e-10', 'epoch': '0.001976', 'num_input_tokens_seen': 45034, 'train_runtime': '24.23', 'train_tokens_per_second': '1858'}
|
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{'loss': '2.014', 'grad_norm': '0.3149', 'learning_rate': '4.557e-09', 'epoch': '0.01832', 'num_input_tokens_seen': 417588, 'train_runtime': '211.5', 'train_tokens_per_second': '1974'}
|
| 208 |
+
{'loss': '1.479', 'grad_norm': '0.2591', 'learning_rate': '4.58e-09', 'epoch': '0.01841', 'num_input_tokens_seen': 419635, 'train_runtime': '212.5', 'train_tokens_per_second': '1974'}
|
| 209 |
+
{'loss': '0.921', 'grad_norm': '0.2037', 'learning_rate': '4.602e-09', 'epoch': '0.0185', 'num_input_tokens_seen': 421682, 'train_runtime': '213.6', 'train_tokens_per_second': '1975'}
|
| 210 |
+
{'loss': '1.79', 'grad_norm': '0.2913', 'learning_rate': '4.625e-09', 'epoch': '0.01859', 'num_input_tokens_seen': 423729, 'train_runtime': '214.6', 'train_tokens_per_second': '1975'}
|
| 211 |
+
{'loss': '1.267', 'grad_norm': '0.256', 'learning_rate': '4.647e-09', 'epoch': '0.01868', 'num_input_tokens_seen': 425776, 'train_runtime': '215.6', 'train_tokens_per_second': '1975'}
|
| 212 |
+
{'loss': '1.873', 'grad_norm': '0.2851', 'learning_rate': '4.67e-09', 'epoch': '0.01877', 'num_input_tokens_seen': 427823, 'train_runtime': '216.7', 'train_tokens_per_second': '1975'}
|
| 213 |
+
{'loss': '0.9967', 'grad_norm': '0.256', 'learning_rate': '4.692e-09', 'epoch': '0.01886', 'num_input_tokens_seen': 429870, 'train_runtime': '217.7', 'train_tokens_per_second': '1975'}
|
| 214 |
+
{'loss': '1.227', 'grad_norm': '0.2439', 'learning_rate': '4.714e-09', 'epoch': '0.01895', 'num_input_tokens_seen': 431917, 'train_runtime': '218.7', 'train_tokens_per_second': '1975'}
|
| 215 |
+
{'loss': '1.904', 'grad_norm': '0.2904', 'learning_rate': '4.737e-09', 'epoch': '0.01904', 'num_input_tokens_seen': 433964, 'train_runtime': '219.7', 'train_tokens_per_second': '1975'}
|
| 216 |
+
{'loss': '1.58', 'grad_norm': '0.3392', 'learning_rate': '4.759e-09', 'epoch': '0.01913', 'num_input_tokens_seen': 436011, 'train_runtime': '220.8', 'train_tokens_per_second': '1975'}
|
| 217 |
+
{'loss': '0.8605', 'grad_norm': '0.211', 'learning_rate': '4.782e-09', 'epoch': '0.01922', 'num_input_tokens_seen': 438058, 'train_runtime': '221.8', 'train_tokens_per_second': '1975'}
|
| 218 |
+
{'loss': '0.8921', 'grad_norm': '0.2665', 'learning_rate': '4.804e-09', 'epoch': '0.01931', 'num_input_tokens_seen': 440105, 'train_runtime': '222.8', 'train_tokens_per_second': '1975'}
|
| 219 |
+
{'loss': '1.968', 'grad_norm': '0.3234', 'learning_rate': '4.827e-09', 'epoch': '0.0194', 'num_input_tokens_seen': 442152, 'train_runtime': '223.9', 'train_tokens_per_second': '1975'}
|
| 220 |
+
{'loss': '1.907', 'grad_norm': '0.3344', 'learning_rate': '4.849e-09', 'epoch': '0.01949', 'num_input_tokens_seen': 444199, 'train_runtime': '224.9', 'train_tokens_per_second': '1975'}
|
| 221 |
+
{'loss': '1.236', 'grad_norm': '0.2373', 'learning_rate': '4.872e-09', 'epoch': '0.01958', 'num_input_tokens_seen': 446246, 'train_runtime': '225.9', 'train_tokens_per_second': '1975'}
|
| 222 |
+
{'loss': '1.157', 'grad_norm': '0.2416', 'learning_rate': '4.894e-09', 'epoch': '0.01967', 'num_input_tokens_seen': 448293, 'train_runtime': '227', 'train_tokens_per_second': '1975'}
|
| 223 |
+
{'loss': '1.294', 'grad_norm': '0.2793', 'learning_rate': '4.916e-09', 'epoch': '0.01976', 'num_input_tokens_seen': 450340, 'train_runtime': '228', 'train_tokens_per_second': '1975'}
|
| 224 |
+
{'loss': '1.227', 'grad_norm': '0.3238', 'learning_rate': '4.939e-09', 'epoch': '0.01985', 'num_input_tokens_seen': 452387, 'train_runtime': '229', 'train_tokens_per_second': '1975'}
|
| 225 |
+
{'loss': '0.9845', 'grad_norm': '0.2103', 'learning_rate': '4.961e-09', 'epoch': '0.01994', 'num_input_tokens_seen': 454434, 'train_runtime': '230.1', 'train_tokens_per_second': '1975'}
|
| 226 |
+
{'loss': '1.277', 'grad_norm': '0.2558', 'learning_rate': '4.984e-09', 'epoch': '0.02003', 'num_input_tokens_seen': 456481, 'train_runtime': '231.1', 'train_tokens_per_second': '1975'}
|
| 227 |
+
{'loss': '1.224', 'grad_norm': '0.2459', 'learning_rate': '5.006e-09', 'epoch': '0.02011', 'num_input_tokens_seen': 458528, 'train_runtime': '232.1', 'train_tokens_per_second': '1975'}
|
| 228 |
+
{'loss': '1.507', 'grad_norm': '0.3769', 'learning_rate': '5.029e-09', 'epoch': '0.0202', 'num_input_tokens_seen': 460575, 'train_runtime': '233.1', 'train_tokens_per_second': '1976'}
|
| 229 |
+
{'loss': '0.9777', 'grad_norm': '0.2383', 'learning_rate': '5.051e-09', 'epoch': '0.02029', 'num_input_tokens_seen': 462622, 'train_runtime': '234.2', 'train_tokens_per_second': '1976'}
|
| 230 |
+
{'loss': '1.639', 'grad_norm': '7.145', 'learning_rate': '5.074e-09', 'epoch': '0.02038', 'num_input_tokens_seen': 464669, 'train_runtime': '235.2', 'train_tokens_per_second': '1976'}
|
| 231 |
+
{'loss': '1.54', 'grad_norm': '0.2886', 'learning_rate': '5.096e-09', 'epoch': '0.02047', 'num_input_tokens_seen': 466716, 'train_runtime': '236.2', 'train_tokens_per_second': '1976'}
|
| 232 |
+
{'loss': '1.495', 'grad_norm': '0.2755', 'learning_rate': '5.119e-09', 'epoch': '0.02056', 'num_input_tokens_seen': 468763, 'train_runtime': '237.3', 'train_tokens_per_second': '1976'}
|
| 233 |
+
{'loss': '1.568', 'grad_norm': '0.3269', 'learning_rate': '5.141e-09', 'epoch': '0.02065', 'num_input_tokens_seen': 470810, 'train_runtime': '238.3', 'train_tokens_per_second': '1976'}
|
| 234 |
+
{'loss': '1.03', 'grad_norm': '0.2274', 'learning_rate': '5.163e-09', 'epoch': '0.02074', 'num_input_tokens_seen': 472857, 'train_runtime': '239.3', 'train_tokens_per_second': '1976'}
|
| 235 |
+
{'loss': '1.547', 'grad_norm': '0.3207', 'learning_rate': '5.186e-09', 'epoch': '0.02083', 'num_input_tokens_seen': 474904, 'train_runtime': '240.4', 'train_tokens_per_second': '1976'}
|
| 236 |
+
{'loss': '0.9411', 'grad_norm': '0.2122', 'learning_rate': '5.208e-09', 'epoch': '0.02092', 'num_input_tokens_seen': 476951, 'train_runtime': '241.4', 'train_tokens_per_second': '1976'}
|
| 237 |
+
{'loss': '1.497', 'grad_norm': '0.2546', 'learning_rate': '5.231e-09', 'epoch': '0.02101', 'num_input_tokens_seen': 478998, 'train_runtime': '242.4', 'train_tokens_per_second': '1976'}
|
| 238 |
+
{'loss': '1.556', 'grad_norm': '0.3133', 'learning_rate': '5.253e-09', 'epoch': '0.0211', 'num_input_tokens_seen': 481045, 'train_runtime': '243.4', 'train_tokens_per_second': '1976'}
|
| 239 |
+
File "/usr/local/bin/llamafactory-cli", line 8, in <module>
|
| 240 |
+
sys.exit(main())
|
| 241 |
+
^^^^^^
|
| 242 |
+
File "/workspace/LlamaFactory/src/llamafactory/cli.py", line 24, in main
|
| 243 |
+
launcher.launch()
|
| 244 |
+
File "/workspace/LlamaFactory/src/llamafactory/launcher.py", line 157, in launch
|
| 245 |
+
run_exp()
|
| 246 |
+
File "/workspace/LlamaFactory/src/llamafactory/train/tuner.py", line 125, in run_exp
|
| 247 |
+
_training_function(config={"args": args, "callbacks": callbacks})
|
| 248 |
+
File "/workspace/LlamaFactory/src/llamafactory/train/tuner.py", line 91, in _training_function
|
| 249 |
+
run_pt(model_args, data_args, training_args, finetuning_args, callbacks)
|
| 250 |
+
File "/workspace/LlamaFactory/src/llamafactory/train/pt/workflow.py", line 63, in run_pt
|
| 251 |
+
train_result = trainer.train(resume_from_checkpoint=training_args.resume_from_checkpoint)
|
| 252 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 253 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/trainer.py", line 2174, in train
|
| 254 |
+
return inner_training_loop(
|
| 255 |
+
^^^^^^^^^^^^^^^^^^^^
|
| 256 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/trainer.py", line 2536, in _inner_training_loop
|
| 257 |
+
tr_loss_step = self.training_step(model, inputs, num_items_in_batch)
|
| 258 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 259 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/trainer.py", line 3809, in training_step
|
| 260 |
+
loss = self.compute_loss(model, inputs, num_items_in_batch=num_items_in_batch)
|
| 261 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 262 |
+
File "/workspace/LlamaFactory/src/llamafactory/train/pt/trainer.py", line 93, in compute_loss
|
| 263 |
+
return super().compute_loss(model, inputs, *args, **kwargs)
|
| 264 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 265 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/trainer.py", line 3880, in compute_loss
|
| 266 |
+
outputs = model(**inputs)
|
| 267 |
+
^^^^^^^^^^^^^^^
|
| 268 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
|
| 269 |
+
return self._call_impl(*args, **kwargs)
|
| 270 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 271 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1562, in _call_impl
|
| 272 |
+
return forward_call(*args, **kwargs)
|
| 273 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 274 |
+
File "/usr/local/lib/python3.11/dist-packages/accelerate/utils/operations.py", line 819, in forward
|
| 275 |
+
return model_forward(*args, **kwargs)
|
| 276 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 277 |
+
File "/usr/local/lib/python3.11/dist-packages/accelerate/utils/operations.py", line 807, in __call__
|
| 278 |
+
return convert_to_fp32(self.model_forward(*args, **kwargs))
|
| 279 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 280 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/amp/autocast_mode.py", line 43, in decorate_autocast
|
| 281 |
+
return func(*args, **kwargs)
|
| 282 |
+
^^^^^^^^^^^^^^^^^^^^^
|
| 283 |
+
File "/usr/local/lib/python3.11/dist-packages/peft/peft_model.py", line 1923, in forward
|
| 284 |
+
return self.base_model(
|
| 285 |
+
^^^^^^^^^^^^^^^^
|
| 286 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
|
| 287 |
+
return self._call_impl(*args, **kwargs)
|
| 288 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 289 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1562, in _call_impl
|
| 290 |
+
return forward_call(*args, **kwargs)
|
| 291 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 292 |
+
File "/usr/local/lib/python3.11/dist-packages/peft/tuners/tuners_utils.py", line 311, in forward
|
| 293 |
+
return self.model.forward(*args, **kwargs)
|
| 294 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 295 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/utils/generic.py", line 835, in wrapper
|
| 296 |
+
output = func(self, *args, **kwargs)
|
| 297 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 298 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/models/qwen3/modeling_qwen3.py", line 505, in forward
|
| 299 |
+
outputs: BaseModelOutputWithPast = self.model(
|
| 300 |
+
^^^^^^^^^^^
|
| 301 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
|
| 302 |
+
return self._call_impl(*args, **kwargs)
|
| 303 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 304 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1562, in _call_impl
|
| 305 |
+
return forward_call(*args, **kwargs)
|
| 306 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 307 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/utils/generic.py", line 1002, in wrapper
|
| 308 |
+
outputs = func(self, *args, **kwargs)
|
| 309 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 310 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/models/qwen3/modeling_qwen3.py", line 435, in forward
|
| 311 |
+
hidden_states = decoder_layer(
|
| 312 |
+
^^^^^^^^^^^^^^
|
| 313 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_layers.py", line 92, in __call__
|
| 314 |
+
return self._gradient_checkpointing_func(partial(super().__call__, **kwargs), *args)
|
| 315 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 316 |
+
File "/workspace/LlamaFactory/src/llamafactory/model/model_utils/checkpointing.py", line 99, in custom_gradient_checkpointing_func
|
| 317 |
+
return gradient_checkpointing_func(func, *args, **kwargs)
|
| 318 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 319 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/_compile.py", line 31, in inner
|
| 320 |
+
return disable_fn(*args, **kwargs)
|
| 321 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 322 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/_dynamo/eval_frame.py", line 600, in _fn
|
| 323 |
+
return fn(*args, **kwargs)
|
| 324 |
+
^^^^^^^^^^^^^^^^^^^
|
| 325 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/utils/checkpoint.py", line 481, in checkpoint
|
| 326 |
+
return CheckpointFunction.apply(function, preserve, *args)
|
| 327 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 328 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/autograd/function.py", line 574, in apply
|
| 329 |
+
return super().apply(*args, **kwargs) # type: ignore[misc]
|
| 330 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 331 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/utils/checkpoint.py", line 255, in forward
|
| 332 |
+
outputs = run_function(*args)
|
| 333 |
+
^^^^^^^^^^^^^^^^^^^
|
| 334 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
|
| 335 |
+
return self._call_impl(*args, **kwargs)
|
| 336 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 337 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1562, in _call_impl
|
| 338 |
+
return forward_call(*args, **kwargs)
|
| 339 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 340 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/models/qwen3/modeling_qwen3.py", line 323, in forward
|
| 341 |
+
hidden_states, _ = self.self_attn(
|
| 342 |
+
^^^^^^^^^^^^^^^
|
| 343 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
|
| 344 |
+
return self._call_impl(*args, **kwargs)
|
| 345 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 346 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1562, in _call_impl
|
| 347 |
+
return forward_call(*args, **kwargs)
|
| 348 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 349 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/models/qwen3/modeling_qwen3.py", line 264, in forward
|
| 350 |
+
query_states = self.q_norm(self.q_proj(hidden_states).view(hidden_shape)).transpose(1, 2)
|
| 351 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 352 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
|
| 353 |
+
return self._call_impl(*args, **kwargs)
|
| 354 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 355 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1562, in _call_impl
|
| 356 |
+
return forward_call(*args, **kwargs)
|
| 357 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 358 |
+
File "/usr/local/lib/python3.11/dist-packages/peft/tuners/lora/layer.py", line 807, in forward
|
| 359 |
+
result = result + lora_B(lora_A(dropout(x))) * scaling
|
| 360 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 361 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
|
| 362 |
+
return self._call_impl(*args, **kwargs)
|
| 363 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 364 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1562, in _call_impl
|
| 365 |
+
return forward_call(*args, **kwargs)
|
| 366 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 367 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/linear.py", line 117, in forward
|
| 368 |
+
return F.linear(input, self.weight, self.bias)
|
| 369 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 370 |
+
KeyboardInterrupt
|
LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/requirements.txt
ADDED
|
@@ -0,0 +1,257 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pytz==2025.2
|
| 2 |
+
pydub==0.25.1
|
| 3 |
+
brotli==1.2.0
|
| 4 |
+
antlr4-python3-runtime==4.9.3
|
| 5 |
+
xxhash==3.6.0
|
| 6 |
+
websockets==15.0.1
|
| 7 |
+
tzdata==2025.3
|
| 8 |
+
typing_extensions==4.15.0
|
| 9 |
+
tqdm==4.67.3
|
| 10 |
+
tomlkit==0.13.3
|
| 11 |
+
termcolor==3.3.0
|
| 12 |
+
shtab==1.8.0
|
| 13 |
+
shellingham==1.5.4
|
| 14 |
+
sentencepiece==0.2.1
|
| 15 |
+
semantic-version==2.10.0
|
| 16 |
+
safetensors==0.7.0
|
| 17 |
+
ruff==0.15.0
|
| 18 |
+
regex==2026.1.15
|
| 19 |
+
python-multipart==0.0.22
|
| 20 |
+
pyparsing==3.3.2
|
| 21 |
+
pyarrow==23.0.0
|
| 22 |
+
protobuf==6.33.5
|
| 23 |
+
propcache==0.4.1
|
| 24 |
+
orjson==3.11.7
|
| 25 |
+
omegaconf==2.3.0
|
| 26 |
+
numpy==2.4.2
|
| 27 |
+
multidict==6.7.1
|
| 28 |
+
mdurl==0.1.2
|
| 29 |
+
kiwisolver==1.4.9
|
| 30 |
+
hf-xet==1.2.0
|
| 31 |
+
hf_transfer==0.1.9
|
| 32 |
+
groovy==0.1.2
|
| 33 |
+
frozenlist==1.8.0
|
| 34 |
+
fonttools==4.61.1
|
| 35 |
+
ffmpy==1.0.0
|
| 36 |
+
einops==0.8.2
|
| 37 |
+
docstring_parser==0.17.0
|
| 38 |
+
dill==0.3.8
|
| 39 |
+
cycler==0.12.1
|
| 40 |
+
click==8.3.1
|
| 41 |
+
av==16.0.0
|
| 42 |
+
annotated-types==0.7.0
|
| 43 |
+
annotated-doc==0.0.4
|
| 44 |
+
aiohappyeyeballs==2.6.1
|
| 45 |
+
aiofiles==24.1.0
|
| 46 |
+
yarl==1.22.0
|
| 47 |
+
uvicorn==0.40.0
|
| 48 |
+
typing-inspection==0.4.2
|
| 49 |
+
typer-slim==0.21.1
|
| 50 |
+
tiktoken==0.12.0
|
| 51 |
+
scipy==1.17.0
|
| 52 |
+
pydantic_core==2.41.4
|
| 53 |
+
pandas==2.3.3
|
| 54 |
+
multiprocess==0.70.16
|
| 55 |
+
modelscope==1.34.0
|
| 56 |
+
markdown-it-py==4.0.0
|
| 57 |
+
fire==0.7.1
|
| 58 |
+
contourpy==1.3.3
|
| 59 |
+
anyio==4.12.1
|
| 60 |
+
aiosignal==1.4.0
|
| 61 |
+
starlette==0.52.1
|
| 62 |
+
rich==14.3.2
|
| 63 |
+
pydantic==2.12.3
|
| 64 |
+
matplotlib==3.10.8
|
| 65 |
+
aiohttp==3.13.3
|
| 66 |
+
tyro==0.8.14
|
| 67 |
+
typer==0.21.1
|
| 68 |
+
torchdata==0.11.0
|
| 69 |
+
sse-starlette==3.2.0
|
| 70 |
+
safehttpx==0.1.7
|
| 71 |
+
huggingface_hub==1.4.1
|
| 72 |
+
fastapi==0.128.5
|
| 73 |
+
tokenizers==0.22.2
|
| 74 |
+
gradio_client==1.14.0
|
| 75 |
+
datasets==4.0.0
|
| 76 |
+
accelerate==1.11.0
|
| 77 |
+
transformers==5.0.0
|
| 78 |
+
gradio==5.50.0
|
| 79 |
+
trl==0.24.0
|
| 80 |
+
peft==0.18.1
|
| 81 |
+
llamafactory==0.9.5.dev0
|
| 82 |
+
jieba==0.42.1
|
| 83 |
+
rouge-chinese==1.0.3
|
| 84 |
+
joblib==1.5.3
|
| 85 |
+
nltk==3.9.2
|
| 86 |
+
py-cpuinfo==9.0.0
|
| 87 |
+
nvidia-ml-py==13.590.48
|
| 88 |
+
hjson==3.1.0
|
| 89 |
+
ninja==1.13.0
|
| 90 |
+
msgpack==1.1.2
|
| 91 |
+
deepspeed==0.16.9
|
| 92 |
+
smmap==5.0.2
|
| 93 |
+
sentry-sdk==2.52.0
|
| 94 |
+
gitdb==4.0.12
|
| 95 |
+
GitPython==3.1.46
|
| 96 |
+
wandb==0.24.2
|
| 97 |
+
entrypoints==0.4
|
| 98 |
+
jupyter_client==7.4.9
|
| 99 |
+
nbclassic==1.1.0
|
| 100 |
+
notebook==6.5.5
|
| 101 |
+
pyzmq==24.0.1
|
| 102 |
+
PyYAML==6.0.2
|
| 103 |
+
Send2Trash==1.8.3
|
| 104 |
+
argon2-cffi==23.1.0
|
| 105 |
+
argon2-cffi-bindings==21.2.0
|
| 106 |
+
arrow==1.3.0
|
| 107 |
+
asttokens==2.4.1
|
| 108 |
+
async-lru==2.0.4
|
| 109 |
+
attrs==24.2.0
|
| 110 |
+
babel==2.16.0
|
| 111 |
+
beautifulsoup4==4.12.3
|
| 112 |
+
bleach==6.1.0
|
| 113 |
+
certifi==2024.8.30
|
| 114 |
+
cffi==1.17.1
|
| 115 |
+
charset-normalizer==3.3.2
|
| 116 |
+
comm==0.2.2
|
| 117 |
+
debugpy==1.8.5
|
| 118 |
+
decorator==5.1.1
|
| 119 |
+
defusedxml==0.7.1
|
| 120 |
+
executing==2.1.0
|
| 121 |
+
fastjsonschema==2.20.0
|
| 122 |
+
fqdn==1.5.1
|
| 123 |
+
h11==0.14.0
|
| 124 |
+
httpcore==1.0.5
|
| 125 |
+
httpx==0.27.2
|
| 126 |
+
idna==3.10
|
| 127 |
+
ipykernel==6.29.5
|
| 128 |
+
ipython==8.27.0
|
| 129 |
+
ipython-genutils==0.2.0
|
| 130 |
+
ipywidgets==8.1.5
|
| 131 |
+
isoduration==20.11.0
|
| 132 |
+
jedi==0.19.1
|
| 133 |
+
json5==0.9.25
|
| 134 |
+
jsonpointer==3.0.0
|
| 135 |
+
jsonschema==4.23.0
|
| 136 |
+
jsonschema-specifications==2023.12.1
|
| 137 |
+
jupyter-archive==3.4.0
|
| 138 |
+
jupyter_contrib_core==0.4.2
|
| 139 |
+
jupyter_contrib_nbextensions==0.7.0
|
| 140 |
+
jupyter_core==5.7.2
|
| 141 |
+
jupyter-events==0.10.0
|
| 142 |
+
jupyter-highlight-selected-word==0.2.0
|
| 143 |
+
jupyter-lsp==2.2.5
|
| 144 |
+
jupyter_nbextensions_configurator==0.6.4
|
| 145 |
+
jupyter_server==2.14.2
|
| 146 |
+
jupyter_server_terminals==0.5.3
|
| 147 |
+
jupyterlab==4.2.5
|
| 148 |
+
jupyterlab_pygments==0.3.0
|
| 149 |
+
jupyterlab_server==2.27.3
|
| 150 |
+
jupyterlab_widgets==3.0.13
|
| 151 |
+
lxml==5.3.0
|
| 152 |
+
matplotlib-inline==0.1.7
|
| 153 |
+
mistune==3.0.2
|
| 154 |
+
nbclient==0.10.0
|
| 155 |
+
nbconvert==7.16.4
|
| 156 |
+
nbformat==5.10.4
|
| 157 |
+
nest-asyncio==1.6.0
|
| 158 |
+
notebook_shim==0.2.4
|
| 159 |
+
overrides==7.7.0
|
| 160 |
+
packaging==24.1
|
| 161 |
+
pandocfilters==1.5.1
|
| 162 |
+
parso==0.8.4
|
| 163 |
+
pexpect==4.9.0
|
| 164 |
+
platformdirs==4.3.6
|
| 165 |
+
prometheus_client==0.21.0
|
| 166 |
+
prompt_toolkit==3.0.47
|
| 167 |
+
psutil==6.0.0
|
| 168 |
+
ptyprocess==0.7.0
|
| 169 |
+
pure_eval==0.2.3
|
| 170 |
+
pycparser==2.22
|
| 171 |
+
Pygments==2.18.0
|
| 172 |
+
python-dateutil==2.9.0.post0
|
| 173 |
+
python-json-logger==2.0.7
|
| 174 |
+
referencing==0.35.1
|
| 175 |
+
requests==2.32.3
|
| 176 |
+
rfc3339-validator==0.1.4
|
| 177 |
+
rfc3986-validator==0.1.1
|
| 178 |
+
rpds-py==0.20.0
|
| 179 |
+
sniffio==1.3.1
|
| 180 |
+
soupsieve==2.6
|
| 181 |
+
stack-data==0.6.3
|
| 182 |
+
terminado==0.18.1
|
| 183 |
+
tinycss2==1.3.0
|
| 184 |
+
tornado==6.4.1
|
| 185 |
+
traitlets==5.14.3
|
| 186 |
+
types-python-dateutil==2.9.0.20240906
|
| 187 |
+
uri-template==1.3.0
|
| 188 |
+
urllib3==2.2.3
|
| 189 |
+
wcwidth==0.2.13
|
| 190 |
+
webcolors==24.8.0
|
| 191 |
+
webencodings==0.5.1
|
| 192 |
+
websocket-client==1.8.0
|
| 193 |
+
widgetsnbextension==4.0.13
|
| 194 |
+
Jinja2==3.1.3
|
| 195 |
+
MarkupSafe==2.1.5
|
| 196 |
+
filelock==3.13.1
|
| 197 |
+
fsspec==2024.2.0
|
| 198 |
+
mpmath==1.3.0
|
| 199 |
+
networkx==3.2.1
|
| 200 |
+
nvidia-cublas-cu12==12.4.2.65
|
| 201 |
+
nvidia-cuda-cupti-cu12==12.4.99
|
| 202 |
+
nvidia-cuda-nvrtc-cu12==12.4.99
|
| 203 |
+
nvidia-cuda-runtime-cu12==12.4.99
|
| 204 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 205 |
+
nvidia-cufft-cu12==11.2.0.44
|
| 206 |
+
nvidia-curand-cu12==10.3.5.119
|
| 207 |
+
nvidia-cusolver-cu12==11.6.0.99
|
| 208 |
+
nvidia-cusparse-cu12==12.3.0.142
|
| 209 |
+
nvidia-nccl-cu12==2.20.5
|
| 210 |
+
nvidia-nvjitlink-cu12==12.4.99
|
| 211 |
+
nvidia-nvtx-cu12==12.4.99
|
| 212 |
+
pillow==10.2.0
|
| 213 |
+
sympy==1.12
|
| 214 |
+
torch==2.4.1+cu124
|
| 215 |
+
torchaudio==2.4.1+cu124
|
| 216 |
+
torchvision==0.19.1+cu124
|
| 217 |
+
triton==3.0.0
|
| 218 |
+
pip==24.2
|
| 219 |
+
setuptools==75.1.0
|
| 220 |
+
wheel==0.44.0
|
| 221 |
+
PyGObject==3.42.1
|
| 222 |
+
PyJWT==2.3.0
|
| 223 |
+
SecretStorage==3.3.1
|
| 224 |
+
blinker==1.4
|
| 225 |
+
cryptography==3.4.8
|
| 226 |
+
dbus-python==1.2.18
|
| 227 |
+
distro==1.7.0
|
| 228 |
+
httplib2==0.20.2
|
| 229 |
+
importlib-metadata==4.6.4
|
| 230 |
+
jeepney==0.7.1
|
| 231 |
+
keyring==23.5.0
|
| 232 |
+
launchpadlib==1.10.16
|
| 233 |
+
lazr.restfulclient==0.14.4
|
| 234 |
+
lazr.uri==1.0.6
|
| 235 |
+
more-itertools==8.10.0
|
| 236 |
+
oauthlib==3.2.0
|
| 237 |
+
python-apt==2.4.0+ubuntu4
|
| 238 |
+
six==1.16.0
|
| 239 |
+
wadllib==1.3.6
|
| 240 |
+
zipp==1.0.0
|
| 241 |
+
autocommand==2.2.2
|
| 242 |
+
backports.tarfile==1.2.0
|
| 243 |
+
importlib_metadata==8.0.0
|
| 244 |
+
importlib_resources==6.4.0
|
| 245 |
+
inflect==7.3.1
|
| 246 |
+
jaraco.collections==5.1.0
|
| 247 |
+
jaraco.context==5.3.0
|
| 248 |
+
jaraco.functools==4.0.1
|
| 249 |
+
jaraco.text==3.12.1
|
| 250 |
+
more-itertools==10.3.0
|
| 251 |
+
packaging==24.1
|
| 252 |
+
platformdirs==4.2.2
|
| 253 |
+
tomli==2.0.1
|
| 254 |
+
typeguard==4.3.0
|
| 255 |
+
typing_extensions==4.12.2
|
| 256 |
+
wheel==0.43.0
|
| 257 |
+
zipp==3.19.2
|
LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-79-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.11.10",
|
| 4 |
+
"startedAt": "2026-02-09T07:31:58.346206Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"/workspace/v127rc_exp2/B_dup.yaml"
|
| 7 |
+
],
|
| 8 |
+
"program": "/usr/local/bin/llamafactory-cli",
|
| 9 |
+
"git": {
|
| 10 |
+
"remote": "https://github.com/hiyouga/LlamaFactory.git",
|
| 11 |
+
"commit": "1a02717fa84c270d1c156c4c4a391c2f95525a63"
|
| 12 |
+
},
|
| 13 |
+
"email": "markmochi200@gmail.com",
|
| 14 |
+
"root": "/workspace/LlamaFactory",
|
| 15 |
+
"host": "7bc9cc925966",
|
| 16 |
+
"executable": "/usr/bin/python",
|
| 17 |
+
"cpu_count": 16,
|
| 18 |
+
"cpu_count_logical": 32,
|
| 19 |
+
"gpu": "NVIDIA GeForce RTX 4090",
|
| 20 |
+
"gpu_count": 1,
|
| 21 |
+
"disk": {
|
| 22 |
+
"/": {
|
| 23 |
+
"total": "21474836480",
|
| 24 |
+
"used": "2060386304"
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
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"memory": {
|
| 28 |
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"total": "134123229184"
|
| 29 |
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},
|
| 30 |
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"gpu_nvidia": [
|
| 31 |
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{
|
| 32 |
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"name": "NVIDIA GeForce RTX 4090",
|
| 33 |
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"memoryTotal": "25757220864",
|
| 34 |
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"cudaCores": 16384,
|
| 35 |
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"architecture": "Ada",
|
| 36 |
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"uuid": "GPU-5c963f5e-1505-b56d-adf2-0ab9c4a32166"
|
| 37 |
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}
|
| 38 |
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|
| 39 |
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"cudaVersion": "12.8",
|
| 40 |
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|
| 41 |
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|
LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/files/wandb-summary.json
ADDED
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|
LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,11 @@
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{"time":"2026-02-09T07:31:58.588577255Z","level":"INFO","msg":"stream: starting","core version":"0.24.2"}
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| 3 |
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{"time":"2026-02-09T07:31:58.913196337Z","level":"INFO","msg":"handler: started","stream_id":"8c1g8ddy"}
|
| 4 |
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{"time":"2026-02-09T07:31:58.915052871Z","level":"INFO","msg":"stream: started","id":"8c1g8ddy"}
|
| 5 |
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{"time":"2026-02-09T07:31:58.915056006Z","level":"INFO","msg":"writer: started","stream_id":"8c1g8ddy"}
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| 6 |
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{"time":"2026-02-09T07:31:58.915062909Z","level":"INFO","msg":"sender: started","stream_id":"8c1g8ddy"}
|
| 7 |
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{"time":"2026-02-09T07:36:01.595340425Z","level":"INFO","msg":"stream: closing","id":"8c1g8ddy"}
|
| 8 |
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{"time":"2026-02-09T07:36:02.247674687Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
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| 9 |
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| 10 |
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{"time":"2026-02-09T07:36:02.527325636Z","level":"INFO","msg":"sender: closed","stream_id":"8c1g8ddy"}
|
| 11 |
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{"time":"2026-02-09T07:36:02.528189557Z","level":"INFO","msg":"stream: closed","id":"8c1g8ddy"}
|
LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/logs/debug.log
ADDED
|
@@ -0,0 +1,25 @@
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| 1 |
+
2026-02-09 07:31:58,366 INFO MainThread:685 [wandb_setup.py:_flush():81] Current SDK version is 0.24.2
|
| 2 |
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2026-02-09 07:31:58,366 INFO MainThread:685 [wandb_setup.py:_flush():81] Configure stats pid to 685
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| 3 |
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2026-02-09 07:31:58,366 INFO MainThread:685 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
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2026-02-09 07:31:58,367 INFO MainThread:685 [wandb_init.py:setup_run_log_directory():717] Logging user logs to /workspace/LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/logs/debug.log
|
| 5 |
+
2026-02-09 07:31:58,368 INFO MainThread:685 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /workspace/LlamaFactory/wandb/run-20260209_073158-8c1g8ddy/logs/debug-internal.log
|
| 6 |
+
2026-02-09 07:31:58,369 INFO MainThread:685 [wandb_init.py:init():844] calling init triggers
|
| 7 |
+
2026-02-09 07:31:58,369 INFO MainThread:685 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'_wandb': {}}
|
| 9 |
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2026-02-09 07:31:58,369 INFO MainThread:685 [wandb_init.py:init():892] starting backend
|
| 10 |
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2026-02-09 07:31:58,579 INFO MainThread:685 [wandb_init.py:init():895] sending inform_init request
|
| 11 |
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2026-02-09 07:31:58,586 INFO MainThread:685 [wandb_init.py:init():903] backend started and connected
|
| 12 |
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2026-02-09 07:31:58,588 INFO MainThread:685 [wandb_init.py:init():973] updated telemetry
|
| 13 |
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2026-02-09 07:31:58,640 INFO MainThread:685 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-02-09 07:31:59,228 INFO MainThread:685 [wandb_init.py:init():1042] starting run threads in backend
|
| 15 |
+
2026-02-09 07:31:59,300 INFO MainThread:685 [wandb_run.py:_console_start():2529] atexit reg
|
| 16 |
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2026-02-09 07:31:59,300 INFO MainThread:685 [wandb_run.py:_redirect():2377] redirect: wrap_raw
|
| 17 |
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2026-02-09 07:31:59,301 INFO MainThread:685 [wandb_run.py:_redirect():2446] Wrapping output streams.
|
| 18 |
+
2026-02-09 07:31:59,301 INFO MainThread:685 [wandb_run.py:_redirect():2469] Redirects installed.
|
| 19 |
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2026-02-09 07:31:59,310 INFO MainThread:685 [wandb_init.py:init():1082] run started, returning control to user process
|
| 20 |
+
2026-02-09 07:31:59,312 INFO MainThread:685 [wandb_run.py:_config_callback():1404] config_cb None None {'peft_config': {'default': {'task_type': 'CAUSAL_LM', 'peft_type': 'LORA', 'auto_mapping': None, 'peft_version': '0.18.1', 'base_model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': ['v_proj', 'up_proj', 'o_proj', 'k_proj', 'down_proj', 'q_proj', 'gate_proj'], 'exclude_modules': None, 'lora_alpha': 32, 'lora_dropout': 0.03, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'alora_invocation_tokens': None, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False, 'target_parameters': None, 'arrow_config': None, 'ensure_weight_tying': False}}, 'vocab_size': 151936, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 12288, 'num_hidden_layers': 36, 'num_attention_heads': 32, 'use_sliding_window': False, 'sliding_window': None, 'max_window_layers': 36, 'num_key_value_heads': 8, 'head_dim': 128, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'attention_bias': False, 'attention_dropout': 0.0, 'layer_types': ['full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 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'per_device_train_batch_size': 1, 'per_device_eval_batch_size': 8, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0, 'adam_beta1': 0.9, 'adam_beta2': 0.95, 'adam_epsilon': 1e-08, 'max_grad_norm': 1, 'num_train_epochs': 10000, 'max_steps': -1, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': None, 'warmup_ratio': 0.02, 'warmup_steps': 0.02, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': None, 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 1000, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'use_cpu': False, 'seed': 42, 'data_seed': None, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': -1, 'ddp_backend': None, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': ['labels'], 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'auto_find_batch_size': False, 'full_determinism': False, 'ddp_timeout': 180000000, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_num_input_tokens_seen': 'all', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'sortish_sampler': False, 'predict_with_generate': False, 'generation_max_length': 2047, 'generation_num_beams': None, 'generation_config': None, 'ray_num_workers': 1, 'ray_init_kwargs': None, 'master_addr': None, 'master_port': None, 'fp8': False, 'fp8_backend': 'auto', 'fp8_enable_fsdp_float8_all_gather': False, 'overwrite_output_dir': False}
|
| 21 |
+
2026-02-09 07:31:59,318 INFO MainThread:685 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 8234382336 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7f80449ca5d0>>
|
| 22 |
+
2026-02-09 07:31:59,319 INFO MainThread:685 [wandb_run.py:_config_callback():1404] config_cb model/num_parameters 8234382336 None
|
| 23 |
+
2026-02-09 07:31:59,320 INFO MainThread:685 [wandb_run.py:_config_callback():1404] config_cb None None {'model_args': {'model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'adapter_name_or_path': None, 'adapter_folder': None, 'cache_dir': None, 'use_fast_tokenizer': True, 'resize_vocab': False, 'split_special_tokens': False, 'add_tokens': None, 'add_special_tokens': None, 'new_special_tokens_config': None, 'init_special_tokens': 'noise_init', 'model_revision': 'main', 'low_cpu_mem_usage': True, 'rope_scaling': None, 'flash_attn': 'auto', 'shift_attn': False, 'mixture_of_depths': None, 'use_unsloth': False, 'use_unsloth_gc': False, 'enable_liger_kernel': False, 'moe_aux_loss_coef': None, 'disable_gradient_checkpointing': False, 'use_reentrant_gc': True, 'upcast_layernorm': False, 'upcast_lmhead_output': False, 'train_from_scratch': False, 'infer_backend': 'HF', 'offload_folder': 'offload', 'use_kv_cache': True, 'use_v1_kernels': False, 'infer_dtype': 'auto', 'hf_hub_token': '<HF_HUB_TOKEN>', 'ms_hub_token': '<MS_HUB_TOKEN>', 'om_hub_token': '<OM_HUB_TOKEN>', 'print_param_status': False, 'trust_remote_code': True, 'quantization_method': 'BNB', 'quantization_bit': None, 'quantization_type': 'nf4', 'double_quantization': True, 'quantization_device_map': None, 'image_max_pixels': 589824, 'image_min_pixels': 1024, 'image_do_pan_and_scan': False, 'crop_to_patches': False, 'video_max_pixels': 65536, 'video_min_pixels': 256, 'video_fps': 2.0, 'video_maxlen': 128, 'use_audio_in_video': False, 'audio_sampling_rate': 16000, 'export_dir': None, 'export_size': 5, 'export_device': 'cpu', 'export_quantization_bit': None, 'export_quantization_dataset': None, 'export_quantization_nsamples': 128, 'export_quantization_maxlen': 1024, 'export_legacy_format': False, 'export_hub_model_id': None, 'use_kt': False, 'kt_optimize_rule': None, 'cpu_infer': 32, 'chunk_size': 8192, 'mode': 'normal', 'kt_maxlen': 4096, 'kt_use_cuda_graph': True, 'kt_mode': 'normal', 'kt_force_think': False, 'vllm_maxlen': 4096, 'vllm_gpu_util': 0.7, 'vllm_enforce_eager': False, 'vllm_max_lora_rank': 32, 'vllm_config': None, 'sglang_maxlen': 4096, 'sglang_mem_fraction': 0.7, 'sglang_tp_size': -1, 'sglang_config': None, 'sglang_lora_backend': 'triton', 'compute_dtype': 'torch.bfloat16', 'device_map': {'': 'cuda:0'}, 'model_max_length': 2047, 'block_diag_attn': False}, 'data_args': {'template': 'qwen3_nothink', 'dataset': ['Markie_Voss_t0_d34_r300'], 'eval_dataset': None, 'dataset_dir': '/workspace/LlamaFactory/data', 'media_dir': '/workspace/LlamaFactory/data', 'cutoff_len': 2047, 'train_on_prompt': False, 'mask_history': False, 'streaming': False, 'buffer_size': 16384, 'mix_strategy': 'concat', 'interleave_probs': None, 'overwrite_cache': False, 'preprocessing_batch_size': 1000, 'preprocessing_num_workers': 16, 'max_samples': 100000000, 'eval_num_beams': None, 'ignore_pad_token_for_loss': True, 'val_size': 0.0, 'eval_on_each_dataset': False, 'packing': True, 'neat_packing': False, 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'swanlab_logdir': None, 'swanlab_lark_webhook_url': None, 'swanlab_lark_secret': None, 'pure_bf16': False, 'stage': 'pt', 'finetuning_type': 'lora', 'use_llama_pro': False, 'use_adam_mini': False, 'use_mca': False, 'use_muon': False, 'use_dft_loss': False, 'use_eaft_loss': False, 'eaft_alpha': 1.0, 'freeze_vision_tower': True, 'freeze_multi_modal_projector': True, 'freeze_language_model': False, 'compute_accuracy': False, 'disable_shuffling': False, 'early_stopping_steps': None, 'plot_loss': True, 'include_effective_tokens_per_second': False}, 'generating_args': {'do_sample': True, 'temperature': 0.95, 'top_p': 0.7, 'top_k': 50, 'num_beams': 1, 'max_new_tokens': 1024, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'skip_special_tokens': True}}
|
| 24 |
+
2026-02-09 07:36:01,595 INFO wandb-AsyncioManager-main:685 [service_client.py:_forward_responses():94] Reached EOF.
|
| 25 |
+
2026-02-09 07:36:01,596 INFO wandb-AsyncioManager-main:685 [mailbox.py:close():154] Closing mailbox, abandoning 1 handles.
|
LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/config.yaml
ADDED
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: /workspace/Qwen/Qwen3-8B-Base
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.24.2
|
| 6 |
+
e:
|
| 7 |
+
1eab48yhuu1cnh8oebani4cfaxehtql2:
|
| 8 |
+
args:
|
| 9 |
+
- /workspace/v127rc_exp2/B_dup.yaml
|
| 10 |
+
cpu_count: 16
|
| 11 |
+
cpu_count_logical: 32
|
| 12 |
+
cudaVersion: "12.9"
|
| 13 |
+
disk:
|
| 14 |
+
/:
|
| 15 |
+
total: "21474836480"
|
| 16 |
+
used: "2060378112"
|
| 17 |
+
email: markmochi200@gmail.com
|
| 18 |
+
executable: /usr/bin/python
|
| 19 |
+
git:
|
| 20 |
+
commit: 1a02717fa84c270d1c156c4c4a391c2f95525a63
|
| 21 |
+
remote: https://github.com/hiyouga/LlamaFactory.git
|
| 22 |
+
gpu: NVIDIA GeForce RTX 4090
|
| 23 |
+
gpu_count: 1
|
| 24 |
+
gpu_nvidia:
|
| 25 |
+
- architecture: Ada
|
| 26 |
+
cudaCores: 16384
|
| 27 |
+
memoryTotal: "25757220864"
|
| 28 |
+
name: NVIDIA GeForce RTX 4090
|
| 29 |
+
uuid: GPU-6c1e98c2-1b34-cfd8-5de5-319e272f1d1e
|
| 30 |
+
host: 3bebe963f251
|
| 31 |
+
memory:
|
| 32 |
+
total: "134156767232"
|
| 33 |
+
os: Linux-6.8.0-60-generic-x86_64-with-glibc2.35
|
| 34 |
+
program: /usr/local/bin/llamafactory-cli
|
| 35 |
+
python: CPython 3.11.10
|
| 36 |
+
root: /workspace/LlamaFactory
|
| 37 |
+
startedAt: "2026-02-09T08:03:05.241495Z"
|
| 38 |
+
writerId: 1eab48yhuu1cnh8oebani4cfaxehtql2
|
| 39 |
+
m:
|
| 40 |
+
- "1": train/global_step
|
| 41 |
+
"6":
|
| 42 |
+
- 3
|
| 43 |
+
"7": []
|
| 44 |
+
- "2": '*'
|
| 45 |
+
"5": 1
|
| 46 |
+
"6":
|
| 47 |
+
- 1
|
| 48 |
+
"7": []
|
| 49 |
+
python_version: 3.11.10
|
| 50 |
+
t:
|
| 51 |
+
"1":
|
| 52 |
+
- 1
|
| 53 |
+
- 11
|
| 54 |
+
- 41
|
| 55 |
+
- 49
|
| 56 |
+
- 51
|
| 57 |
+
- 71
|
| 58 |
+
- 84
|
| 59 |
+
- 98
|
| 60 |
+
- 105
|
| 61 |
+
"2":
|
| 62 |
+
- 1
|
| 63 |
+
- 11
|
| 64 |
+
- 41
|
| 65 |
+
- 49
|
| 66 |
+
- 51
|
| 67 |
+
- 71
|
| 68 |
+
- 84
|
| 69 |
+
- 98
|
| 70 |
+
- 105
|
| 71 |
+
"3":
|
| 72 |
+
- 7
|
| 73 |
+
- 19
|
| 74 |
+
- 62
|
| 75 |
+
- 66
|
| 76 |
+
"4": 3.11.10
|
| 77 |
+
"5": 0.24.2
|
| 78 |
+
"6": 5.0.0
|
| 79 |
+
"9":
|
| 80 |
+
"1": transformers_trainer
|
| 81 |
+
"12": 0.24.2
|
| 82 |
+
"13": linux-x86_64
|
| 83 |
+
accelerator_config:
|
| 84 |
+
value:
|
| 85 |
+
dispatch_batches: null
|
| 86 |
+
even_batches: true
|
| 87 |
+
gradient_accumulation_kwargs: null
|
| 88 |
+
non_blocking: false
|
| 89 |
+
split_batches: false
|
| 90 |
+
use_seedable_sampler: true
|
| 91 |
+
adam_beta1:
|
| 92 |
+
value: 0.9
|
| 93 |
+
adam_beta2:
|
| 94 |
+
value: 0.95
|
| 95 |
+
adam_epsilon:
|
| 96 |
+
value: 1e-08
|
| 97 |
+
architectures:
|
| 98 |
+
value:
|
| 99 |
+
- Qwen3ForCausalLM
|
| 100 |
+
attention_bias:
|
| 101 |
+
value: false
|
| 102 |
+
attention_dropout:
|
| 103 |
+
value: 0
|
| 104 |
+
auto_find_batch_size:
|
| 105 |
+
value: false
|
| 106 |
+
average_tokens_across_devices:
|
| 107 |
+
value: true
|
| 108 |
+
batch_eval_metrics:
|
| 109 |
+
value: false
|
| 110 |
+
bf16:
|
| 111 |
+
value: true
|
| 112 |
+
bf16_full_eval:
|
| 113 |
+
value: false
|
| 114 |
+
bos_token_id:
|
| 115 |
+
value: null
|
| 116 |
+
chunk_size_feed_forward:
|
| 117 |
+
value: 0
|
| 118 |
+
data_args:
|
| 119 |
+
value:
|
| 120 |
+
buffer_size: 16384
|
| 121 |
+
cutoff_len: 2047
|
| 122 |
+
data_shared_file_system: false
|
| 123 |
+
dataset:
|
| 124 |
+
- Markie_Voss_t0_d34_r300
|
| 125 |
+
dataset_dir: /workspace/LlamaFactory/data
|
| 126 |
+
default_system: null
|
| 127 |
+
enable_thinking: false
|
| 128 |
+
eval_dataset: null
|
| 129 |
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eval_num_beams: null
|
| 130 |
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eval_on_each_dataset: false
|
| 131 |
+
ignore_pad_token_for_loss: true
|
| 132 |
+
interleave_probs: null
|
| 133 |
+
mask_history: false
|
| 134 |
+
max_samples: 100000000
|
| 135 |
+
media_dir: /workspace/LlamaFactory/data
|
| 136 |
+
mix_strategy: concat
|
| 137 |
+
neat_packing: false
|
| 138 |
+
overwrite_cache: false
|
| 139 |
+
packing: true
|
| 140 |
+
preprocessing_batch_size: 1000
|
| 141 |
+
preprocessing_num_workers: 16
|
| 142 |
+
streaming: false
|
| 143 |
+
template: qwen3_nothink
|
| 144 |
+
tokenized_path: null
|
| 145 |
+
tool_format: null
|
| 146 |
+
train_on_prompt: false
|
| 147 |
+
val_size: 0
|
| 148 |
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data_seed:
|
| 149 |
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value: null
|
| 150 |
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dataloader_drop_last:
|
| 151 |
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value: false
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| 152 |
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dataloader_num_workers:
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| 153 |
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value: 0
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| 154 |
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dataloader_persistent_workers:
|
| 155 |
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value: false
|
| 156 |
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dataloader_pin_memory:
|
| 157 |
+
value: true
|
| 158 |
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dataloader_prefetch_factor:
|
| 159 |
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value: null
|
| 160 |
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ddp_backend:
|
| 161 |
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value: null
|
| 162 |
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ddp_broadcast_buffers:
|
| 163 |
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value: null
|
| 164 |
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ddp_bucket_cap_mb:
|
| 165 |
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value: null
|
| 166 |
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ddp_find_unused_parameters:
|
| 167 |
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value: null
|
| 168 |
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ddp_timeout:
|
| 169 |
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value: 180000000
|
| 170 |
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debug:
|
| 171 |
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value: []
|
| 172 |
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deepspeed:
|
| 173 |
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value: null
|
| 174 |
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disable_tqdm:
|
| 175 |
+
value: false
|
| 176 |
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do_eval:
|
| 177 |
+
value: false
|
| 178 |
+
do_predict:
|
| 179 |
+
value: false
|
| 180 |
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do_train:
|
| 181 |
+
value: true
|
| 182 |
+
dtype:
|
| 183 |
+
value: bfloat16
|
| 184 |
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enable_jit_checkpoint:
|
| 185 |
+
value: false
|
| 186 |
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eos_token_id:
|
| 187 |
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value: 151645
|
| 188 |
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eval_accumulation_steps:
|
| 189 |
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value: null
|
| 190 |
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eval_delay:
|
| 191 |
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value: 0
|
| 192 |
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eval_do_concat_batches:
|
| 193 |
+
value: true
|
| 194 |
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eval_on_start:
|
| 195 |
+
value: false
|
| 196 |
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eval_steps:
|
| 197 |
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value: null
|
| 198 |
+
eval_strategy:
|
| 199 |
+
value: "no"
|
| 200 |
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eval_use_gather_object:
|
| 201 |
+
value: false
|
| 202 |
+
finetuning_args:
|
| 203 |
+
value:
|
| 204 |
+
additional_target: null
|
| 205 |
+
apollo_layerwise: false
|
| 206 |
+
apollo_proj: random
|
| 207 |
+
apollo_proj_type: std
|
| 208 |
+
apollo_rank: 16
|
| 209 |
+
apollo_scale: 32
|
| 210 |
+
apollo_scale_front: false
|
| 211 |
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apollo_scale_type: channel
|
| 212 |
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apollo_target:
|
| 213 |
+
- all
|
| 214 |
+
apollo_update_interval: 200
|
| 215 |
+
badam_mask_mode: adjacent
|
| 216 |
+
badam_mode: layer
|
| 217 |
+
badam_start_block: null
|
| 218 |
+
badam_switch_interval: 50
|
| 219 |
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badam_switch_mode: ascending
|
| 220 |
+
badam_update_ratio: 0.05
|
| 221 |
+
badam_verbose: 0
|
| 222 |
+
compute_accuracy: false
|
| 223 |
+
create_new_adapter: false
|
| 224 |
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disable_shuffling: false
|
| 225 |
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dpo_label_smoothing: 0
|
| 226 |
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eaft_alpha: 1
|
| 227 |
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early_stopping_steps: null
|
| 228 |
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finetuning_type: lora
|
| 229 |
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freeze_extra_modules: null
|
| 230 |
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freeze_language_model: false
|
| 231 |
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freeze_multi_modal_projector: true
|
| 232 |
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freeze_trainable_layers: 2
|
| 233 |
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freeze_trainable_modules:
|
| 234 |
+
- all
|
| 235 |
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freeze_vision_tower: true
|
| 236 |
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galore_layerwise: false
|
| 237 |
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galore_proj_type: std
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| 238 |
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galore_rank: 16
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| 239 |
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galore_scale: 2
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| 240 |
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galore_target:
|
| 241 |
+
- all
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| 242 |
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galore_update_interval: 200
|
| 243 |
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include_effective_tokens_per_second: false
|
| 244 |
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kto_chosen_weight: 1
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| 245 |
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kto_rejected_weight: 1
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| 246 |
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ld_alpha: null
|
| 247 |
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lora_alpha: 32
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| 248 |
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lora_dropout: 0.03
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| 249 |
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lora_rank: 16
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| 250 |
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lora_target:
|
| 251 |
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- all
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| 252 |
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loraplus_lr_embedding: 1e-06
|
| 253 |
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loraplus_lr_ratio: null
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| 254 |
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module_dropout: 0
|
| 255 |
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oft_block_size: 32
|
| 256 |
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oft_rank: 0
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| 257 |
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oft_target:
|
| 258 |
+
- all
|
| 259 |
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pissa_convert: false
|
| 260 |
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pissa_init: false
|
| 261 |
+
pissa_iter: 16
|
| 262 |
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plot_loss: true
|
| 263 |
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ppo_buffer_size: 1
|
| 264 |
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ppo_epochs: 4
|
| 265 |
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ppo_score_norm: false
|
| 266 |
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ppo_target: 6
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| 267 |
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ppo_whiten_rewards: false
|
| 268 |
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pref_bco_weight: 0
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| 269 |
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pref_beta: 0.1
|
| 270 |
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pref_ftx: 0
|
| 271 |
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pref_loss: sigmoid
|
| 272 |
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pure_bf16: false
|
| 273 |
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ref_model: null
|
| 274 |
+
ref_model_adapters: null
|
| 275 |
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ref_model_quantization_bit: null
|
| 276 |
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reward_model: null
|
| 277 |
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reward_model_adapters: null
|
| 278 |
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reward_model_quantization_bit: null
|
| 279 |
+
reward_model_type: lora
|
| 280 |
+
simpo_gamma: 0.5
|
| 281 |
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stage: pt
|
| 282 |
+
swanlab_api_key: <SWANLAB_API_KEY>
|
| 283 |
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swanlab_lark_secret: null
|
| 284 |
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swanlab_lark_webhook_url: null
|
| 285 |
+
swanlab_logdir: null
|
| 286 |
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swanlab_mode: cloud
|
| 287 |
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swanlab_project: llamafactory
|
| 288 |
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swanlab_run_name: null
|
| 289 |
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swanlab_workspace: null
|
| 290 |
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use_adam_mini: false
|
| 291 |
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use_apollo: false
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| 292 |
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use_badam: false
|
| 293 |
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use_dft_loss: false
|
| 294 |
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use_dora: false
|
| 295 |
+
use_eaft_loss: false
|
| 296 |
+
use_galore: false
|
| 297 |
+
use_llama_pro: false
|
| 298 |
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use_mca: false
|
| 299 |
+
use_muon: false
|
| 300 |
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use_rslora: false
|
| 301 |
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use_swanlab: false
|
| 302 |
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fp8:
|
| 303 |
+
value: false
|
| 304 |
+
fp8_backend:
|
| 305 |
+
value: auto
|
| 306 |
+
fp8_enable_fsdp_float8_all_gather:
|
| 307 |
+
value: false
|
| 308 |
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fp16:
|
| 309 |
+
value: false
|
| 310 |
+
fp16_full_eval:
|
| 311 |
+
value: false
|
| 312 |
+
fsdp:
|
| 313 |
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value: []
|
| 314 |
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fsdp_config:
|
| 315 |
+
value:
|
| 316 |
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min_num_params: 0
|
| 317 |
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xla: false
|
| 318 |
+
xla_fsdp_grad_ckpt: false
|
| 319 |
+
xla_fsdp_v2: false
|
| 320 |
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full_determinism:
|
| 321 |
+
value: false
|
| 322 |
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generating_args:
|
| 323 |
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value:
|
| 324 |
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do_sample: true
|
| 325 |
+
length_penalty: 1
|
| 326 |
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max_new_tokens: 1024
|
| 327 |
+
num_beams: 1
|
| 328 |
+
repetition_penalty: 1
|
| 329 |
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skip_special_tokens: true
|
| 330 |
+
temperature: 0.95
|
| 331 |
+
top_k: 50
|
| 332 |
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top_p: 0.7
|
| 333 |
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generation_config:
|
| 334 |
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value: null
|
| 335 |
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generation_max_length:
|
| 336 |
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value: 2047
|
| 337 |
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generation_num_beams:
|
| 338 |
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value: null
|
| 339 |
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gradient_accumulation_steps:
|
| 340 |
+
value: 1
|
| 341 |
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gradient_checkpointing:
|
| 342 |
+
value: false
|
| 343 |
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gradient_checkpointing_kwargs:
|
| 344 |
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value: null
|
| 345 |
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greater_is_better:
|
| 346 |
+
value: null
|
| 347 |
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group_by_length:
|
| 348 |
+
value: false
|
| 349 |
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head_dim:
|
| 350 |
+
value: 128
|
| 351 |
+
hidden_act:
|
| 352 |
+
value: silu
|
| 353 |
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hidden_size:
|
| 354 |
+
value: 4096
|
| 355 |
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hub_always_push:
|
| 356 |
+
value: false
|
| 357 |
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hub_model_id:
|
| 358 |
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value: null
|
| 359 |
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hub_private_repo:
|
| 360 |
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value: null
|
| 361 |
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hub_revision:
|
| 362 |
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value: null
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| 363 |
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hub_strategy:
|
| 364 |
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value: every_save
|
| 365 |
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hub_token:
|
| 366 |
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value: <HUB_TOKEN>
|
| 367 |
+
id2label:
|
| 368 |
+
value:
|
| 369 |
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"0": LABEL_0
|
| 370 |
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"1": LABEL_1
|
| 371 |
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ignore_data_skip:
|
| 372 |
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value: false
|
| 373 |
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include_for_metrics:
|
| 374 |
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value: []
|
| 375 |
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include_num_input_tokens_seen:
|
| 376 |
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value: all
|
| 377 |
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initializer_range:
|
| 378 |
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value: 0.02
|
| 379 |
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intermediate_size:
|
| 380 |
+
value: 12288
|
| 381 |
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is_encoder_decoder:
|
| 382 |
+
value: false
|
| 383 |
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label_names:
|
| 384 |
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value:
|
| 385 |
+
- labels
|
| 386 |
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label_smoothing_factor:
|
| 387 |
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value: 0
|
| 388 |
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label2id:
|
| 389 |
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value:
|
| 390 |
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LABEL_0: 0
|
| 391 |
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LABEL_1: 1
|
| 392 |
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layer_types:
|
| 393 |
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value:
|
| 394 |
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- full_attention
|
| 395 |
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- full_attention
|
| 396 |
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- full_attention
|
| 397 |
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- full_attention
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| 398 |
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- full_attention
|
| 399 |
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- full_attention
|
| 400 |
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- full_attention
|
| 401 |
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- full_attention
|
| 402 |
+
- full_attention
|
| 403 |
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- full_attention
|
| 404 |
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- full_attention
|
| 405 |
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- full_attention
|
| 406 |
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- full_attention
|
| 407 |
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- full_attention
|
| 408 |
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- full_attention
|
| 409 |
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- full_attention
|
| 410 |
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- full_attention
|
| 411 |
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- full_attention
|
| 412 |
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- full_attention
|
| 413 |
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- full_attention
|
| 414 |
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- full_attention
|
| 415 |
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- full_attention
|
| 416 |
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- full_attention
|
| 417 |
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- full_attention
|
| 418 |
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- full_attention
|
| 419 |
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- full_attention
|
| 420 |
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- full_attention
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| 421 |
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- full_attention
|
| 422 |
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- full_attention
|
| 423 |
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- full_attention
|
| 424 |
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- full_attention
|
| 425 |
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- full_attention
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| 426 |
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- full_attention
|
| 427 |
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- full_attention
|
| 428 |
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- full_attention
|
| 429 |
+
- full_attention
|
| 430 |
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learning_rate:
|
| 431 |
+
value: 5e-05
|
| 432 |
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length_column_name:
|
| 433 |
+
value: length
|
| 434 |
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liger_kernel_config:
|
| 435 |
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value: null
|
| 436 |
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load_best_model_at_end:
|
| 437 |
+
value: false
|
| 438 |
+
local_rank:
|
| 439 |
+
value: -1
|
| 440 |
+
log_level:
|
| 441 |
+
value: passive
|
| 442 |
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log_level_replica:
|
| 443 |
+
value: warning
|
| 444 |
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log_on_each_node:
|
| 445 |
+
value: true
|
| 446 |
+
logging_dir:
|
| 447 |
+
value: null
|
| 448 |
+
logging_first_step:
|
| 449 |
+
value: false
|
| 450 |
+
logging_nan_inf_filter:
|
| 451 |
+
value: true
|
| 452 |
+
logging_steps:
|
| 453 |
+
value: 1
|
| 454 |
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logging_strategy:
|
| 455 |
+
value: steps
|
| 456 |
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lr_scheduler_kwargs:
|
| 457 |
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value: null
|
| 458 |
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lr_scheduler_type:
|
| 459 |
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value: cosine
|
| 460 |
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master_addr:
|
| 461 |
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value: null
|
| 462 |
+
master_port:
|
| 463 |
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value: null
|
| 464 |
+
max_grad_norm:
|
| 465 |
+
value: 1
|
| 466 |
+
max_position_embeddings:
|
| 467 |
+
value: 32768
|
| 468 |
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max_steps:
|
| 469 |
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value: -1
|
| 470 |
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max_window_layers:
|
| 471 |
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value: 36
|
| 472 |
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metric_for_best_model:
|
| 473 |
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value: null
|
| 474 |
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model/num_parameters:
|
| 475 |
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value: 8234382336
|
| 476 |
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model_args:
|
| 477 |
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value:
|
| 478 |
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adapter_folder: null
|
| 479 |
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adapter_name_or_path: null
|
| 480 |
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add_special_tokens: null
|
| 481 |
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add_tokens: null
|
| 482 |
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audio_sampling_rate: 16000
|
| 483 |
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block_diag_attn: false
|
| 484 |
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cache_dir: null
|
| 485 |
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chunk_size: 8192
|
| 486 |
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compute_dtype: torch.bfloat16
|
| 487 |
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cpu_infer: 32
|
| 488 |
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crop_to_patches: false
|
| 489 |
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device_map:
|
| 490 |
+
"": cuda:0
|
| 491 |
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disable_gradient_checkpointing: false
|
| 492 |
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double_quantization: true
|
| 493 |
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enable_liger_kernel: false
|
| 494 |
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export_device: cpu
|
| 495 |
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export_dir: null
|
| 496 |
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export_hub_model_id: null
|
| 497 |
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export_legacy_format: false
|
| 498 |
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export_quantization_bit: null
|
| 499 |
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export_quantization_dataset: null
|
| 500 |
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export_quantization_maxlen: 1024
|
| 501 |
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export_quantization_nsamples: 128
|
| 502 |
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export_size: 5
|
| 503 |
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flash_attn: auto
|
| 504 |
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hf_hub_token: <HF_HUB_TOKEN>
|
| 505 |
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image_do_pan_and_scan: false
|
| 506 |
+
image_max_pixels: 589824
|
| 507 |
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image_min_pixels: 1024
|
| 508 |
+
infer_backend: HF
|
| 509 |
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infer_dtype: auto
|
| 510 |
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init_special_tokens: noise_init
|
| 511 |
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kt_force_think: false
|
| 512 |
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kt_maxlen: 4096
|
| 513 |
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kt_mode: normal
|
| 514 |
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kt_optimize_rule: null
|
| 515 |
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kt_use_cuda_graph: true
|
| 516 |
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low_cpu_mem_usage: true
|
| 517 |
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mixture_of_depths: null
|
| 518 |
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mode: normal
|
| 519 |
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model_max_length: 2047
|
| 520 |
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model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
|
| 521 |
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model_revision: main
|
| 522 |
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moe_aux_loss_coef: null
|
| 523 |
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ms_hub_token: <MS_HUB_TOKEN>
|
| 524 |
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new_special_tokens_config: null
|
| 525 |
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offload_folder: offload
|
| 526 |
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om_hub_token: <OM_HUB_TOKEN>
|
| 527 |
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print_param_status: false
|
| 528 |
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quantization_bit: null
|
| 529 |
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quantization_device_map: null
|
| 530 |
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quantization_method: BNB
|
| 531 |
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quantization_type: nf4
|
| 532 |
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resize_vocab: false
|
| 533 |
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rope_scaling: null
|
| 534 |
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sglang_config: null
|
| 535 |
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sglang_lora_backend: triton
|
| 536 |
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sglang_maxlen: 4096
|
| 537 |
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sglang_mem_fraction: 0.7
|
| 538 |
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sglang_tp_size: -1
|
| 539 |
+
shift_attn: false
|
| 540 |
+
split_special_tokens: false
|
| 541 |
+
train_from_scratch: false
|
| 542 |
+
trust_remote_code: true
|
| 543 |
+
upcast_layernorm: false
|
| 544 |
+
upcast_lmhead_output: false
|
| 545 |
+
use_audio_in_video: false
|
| 546 |
+
use_fast_tokenizer: true
|
| 547 |
+
use_kt: false
|
| 548 |
+
use_kv_cache: true
|
| 549 |
+
use_reentrant_gc: true
|
| 550 |
+
use_unsloth: false
|
| 551 |
+
use_unsloth_gc: false
|
| 552 |
+
use_v1_kernels: false
|
| 553 |
+
video_fps: 2
|
| 554 |
+
video_max_pixels: 65536
|
| 555 |
+
video_maxlen: 128
|
| 556 |
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video_min_pixels: 256
|
| 557 |
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vllm_config: null
|
| 558 |
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vllm_enforce_eager: false
|
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vllm_gpu_util: 0.7
|
| 560 |
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vllm_max_lora_rank: 32
|
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vllm_maxlen: 4096
|
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model_type:
|
| 563 |
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value: qwen3
|
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neftune_noise_alpha:
|
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value: null
|
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num_attention_heads:
|
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value: 32
|
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|
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value: 36
|
| 570 |
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num_key_value_heads:
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value: 8
|
| 572 |
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num_train_epochs:
|
| 573 |
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value: 10
|
| 574 |
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|
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value: adamw_torch
|
| 576 |
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value: null
|
| 578 |
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optim_target_modules:
|
| 579 |
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|
| 580 |
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output_attentions:
|
| 581 |
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value: false
|
| 582 |
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output_dir:
|
| 583 |
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value: /workspace/v127rc_exp2/B_dup
|
| 584 |
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output_hidden_states:
|
| 585 |
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value: false
|
| 586 |
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overwrite_output_dir:
|
| 587 |
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value: false
|
| 588 |
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pad_token_id:
|
| 589 |
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value: 151643
|
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parallelism_config:
|
| 591 |
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value: null
|
| 592 |
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peft_config:
|
| 593 |
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value:
|
| 594 |
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default:
|
| 595 |
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alora_invocation_tokens: null
|
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arrow_config: null
|
| 597 |
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auto_mapping: null
|
| 598 |
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base_model_name_or_path: /workspace/Qwen/Qwen3-8B-Base
|
| 599 |
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bias: none
|
| 600 |
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corda_config: null
|
| 601 |
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ensure_weight_tying: false
|
| 602 |
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eva_config: null
|
| 603 |
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exclude_modules: null
|
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fan_in_fan_out: false
|
| 605 |
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inference_mode: false
|
| 606 |
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init_lora_weights: true
|
| 607 |
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layer_replication: null
|
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layers_pattern: null
|
| 609 |
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layers_to_transform: null
|
| 610 |
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lora_alpha: 32
|
| 611 |
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lora_bias: false
|
| 612 |
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lora_dropout: 0.03
|
| 613 |
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megatron_config: null
|
| 614 |
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megatron_core: megatron.core
|
| 615 |
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modules_to_save: null
|
| 616 |
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peft_type: LORA
|
| 617 |
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peft_version: 0.18.1
|
| 618 |
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qalora_group_size: 16
|
| 619 |
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r: 16
|
| 620 |
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revision: null
|
| 621 |
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runtime_config:
|
| 622 |
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ephemeral_gpu_offload: false
|
| 623 |
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target_modules:
|
| 624 |
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- gate_proj
|
| 625 |
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- q_proj
|
| 626 |
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- k_proj
|
| 627 |
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- v_proj
|
| 628 |
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- down_proj
|
| 629 |
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- o_proj
|
| 630 |
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- up_proj
|
| 631 |
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target_parameters: null
|
| 632 |
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task_type: CAUSAL_LM
|
| 633 |
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|
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use_dora: false
|
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use_qalora: false
|
| 636 |
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use_rslora: false
|
| 637 |
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per_device_eval_batch_size:
|
| 638 |
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value: 8
|
| 639 |
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per_device_train_batch_size:
|
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value: 1
|
| 641 |
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predict_with_generate:
|
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|
| 643 |
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|
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|
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|
| 646 |
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|
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project:
|
| 648 |
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value: huggingface
|
| 649 |
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push_to_hub:
|
| 650 |
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|
| 651 |
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ray_init_kwargs:
|
| 652 |
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|
| 653 |
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ray_num_workers:
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| 654 |
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value: 1
|
| 655 |
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remove_unused_columns:
|
| 656 |
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value: false
|
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report_to:
|
| 658 |
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value:
|
| 659 |
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- wandb
|
| 660 |
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restore_callback_states_from_checkpoint:
|
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value: false
|
| 662 |
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resume_from_checkpoint:
|
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value: null
|
| 664 |
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return_dict:
|
| 665 |
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value: true
|
| 666 |
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rms_norm_eps:
|
| 667 |
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value: 1e-06
|
| 668 |
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rope_parameters:
|
| 669 |
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value:
|
| 670 |
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rope_theta: 1000000
|
| 671 |
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rope_type: default
|
| 672 |
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run_name:
|
| 673 |
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value: null
|
| 674 |
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save_on_each_node:
|
| 675 |
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value: false
|
| 676 |
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save_only_model:
|
| 677 |
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value: true
|
| 678 |
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save_steps:
|
| 679 |
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value: 1000
|
| 680 |
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save_strategy:
|
| 681 |
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value: steps
|
| 682 |
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save_total_limit:
|
| 683 |
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value: null
|
| 684 |
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seed:
|
| 685 |
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value: 42
|
| 686 |
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skip_memory_metrics:
|
| 687 |
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value: true
|
| 688 |
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sliding_window:
|
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value: null
|
| 690 |
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sortish_sampler:
|
| 691 |
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value: false
|
| 692 |
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tf32:
|
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value: null
|
| 694 |
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tie_word_embeddings:
|
| 695 |
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value: false
|
| 696 |
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torch_compile:
|
| 697 |
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value: false
|
| 698 |
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torch_compile_backend:
|
| 699 |
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value: null
|
| 700 |
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torch_compile_mode:
|
| 701 |
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value: null
|
| 702 |
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torch_empty_cache_steps:
|
| 703 |
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value: null
|
| 704 |
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trackio_space_id:
|
| 705 |
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value: trackio
|
| 706 |
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transformers_version:
|
| 707 |
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value: 5.0.0
|
| 708 |
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use_cache:
|
| 709 |
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value: false
|
| 710 |
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use_cpu:
|
| 711 |
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value: false
|
| 712 |
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use_liger_kernel:
|
| 713 |
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value: false
|
| 714 |
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use_sliding_window:
|
| 715 |
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value: false
|
| 716 |
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vocab_size:
|
| 717 |
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value: 151936
|
| 718 |
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warmup_ratio:
|
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value: 0.01
|
| 720 |
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warmup_steps:
|
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value: 0.01
|
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weight_decay:
|
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value: 0
|
LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/output.log
ADDED
|
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| 1 |
+
0%| | 0/111360 [00:00<?, ?it/s]/usr/local/lib/python3.11/dist-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
|
| 2 |
+
with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
|
| 3 |
+
|
| 4 |
+
{'loss': '1.197', 'grad_norm': '0.2201', 'learning_rate': '0', 'epoch': '8.98e-05', 'num_input_tokens_seen': 2047, 'train_runtime': '2.88', 'train_tokens_per_second': '710.7'}
|
| 5 |
+
{'loss': '0.8941', 'grad_norm': '0.2468', 'learning_rate': '4.488e-08', 'epoch': '0.0001796', 'num_input_tokens_seen': 4094, 'train_runtime': '3.913', 'train_tokens_per_second': '1046'}
|
| 6 |
+
{'loss': '1.579', 'grad_norm': '0.2684', 'learning_rate': '8.977e-08', 'epoch': '0.0002694', 'num_input_tokens_seen': 6141, 'train_runtime': '4.948', 'train_tokens_per_second': '1241'}
|
| 7 |
+
{'loss': '1.147', 'grad_norm': '0.2446', 'learning_rate': '1.346e-07', 'epoch': '0.0003592', 'num_input_tokens_seen': 8188, 'train_runtime': '5.982', 'train_tokens_per_second': '1369'}
|
| 8 |
+
{'loss': '1.177', 'grad_norm': '0.2678', 'learning_rate': '1.795e-07', 'epoch': '0.000449', 'num_input_tokens_seen': 10235, 'train_runtime': '7.017', 'train_tokens_per_second': '1459'}
|
| 9 |
+
{'loss': '0.8573', 'grad_norm': '0.2322', 'learning_rate': '2.244e-07', 'epoch': '0.0005388', 'num_input_tokens_seen': 12282, 'train_runtime': '8.052', 'train_tokens_per_second': '1525'}
|
| 10 |
+
{'loss': '0.8787', 'grad_norm': '0.2275', 'learning_rate': '2.693e-07', 'epoch': '0.0006286', 'num_input_tokens_seen': 14329, 'train_runtime': '9.087', 'train_tokens_per_second': '1577'}
|
| 11 |
+
{'loss': '1.98', 'grad_norm': '0.2846', 'learning_rate': '3.142e-07', 'epoch': '0.0007184', 'num_input_tokens_seen': 16376, 'train_runtime': '10.12', 'train_tokens_per_second': '1618'}
|
| 12 |
+
{'loss': '2.053', 'grad_norm': '0.4371', 'learning_rate': '3.591e-07', 'epoch': '0.0008082', 'num_input_tokens_seen': 18423, 'train_runtime': '11.16', 'train_tokens_per_second': '1651'}
|
| 13 |
+
{'loss': '1.455', 'grad_norm': '0.2537', 'learning_rate': '4.039e-07', 'epoch': '0.000898', 'num_input_tokens_seen': 20470, 'train_runtime': '12.2', 'train_tokens_per_second': '1678'}
|
| 14 |
+
{'loss': '1.286', 'grad_norm': '0.2939', 'learning_rate': '4.488e-07', 'epoch': '0.0009878', 'num_input_tokens_seen': 22517, 'train_runtime': '13.24', 'train_tokens_per_second': '1701'}
|
| 15 |
+
{'loss': '1.278', 'grad_norm': '0.2923', 'learning_rate': '4.937e-07', 'epoch': '0.001078', 'num_input_tokens_seen': 24564, 'train_runtime': '14.27', 'train_tokens_per_second': '1721'}
|
| 16 |
+
{'loss': '0.844', 'grad_norm': '0.2332', 'learning_rate': '5.386e-07', 'epoch': '0.001167', 'num_input_tokens_seen': 26611, 'train_runtime': '15.31', 'train_tokens_per_second': '1738'}
|
| 17 |
+
{'loss': '2.021', 'grad_norm': '0.3572', 'learning_rate': '5.835e-07', 'epoch': '0.001257', 'num_input_tokens_seen': 28658, 'train_runtime': '16.35', 'train_tokens_per_second': '1753'}
|
| 18 |
+
{'loss': '0.9653', 'grad_norm': '0.2073', 'learning_rate': '6.284e-07', 'epoch': '0.001347', 'num_input_tokens_seen': 30705, 'train_runtime': '17.38', 'train_tokens_per_second': '1766'}
|
| 19 |
+
{'loss': '1.164', 'grad_norm': '0.2285', 'learning_rate': '6.732e-07', 'epoch': '0.001437', 'num_input_tokens_seen': 32752, 'train_runtime': '18.42', 'train_tokens_per_second': '1778'}
|
| 20 |
+
{'loss': '1.265', 'grad_norm': '0.2519', 'learning_rate': '7.181e-07', 'epoch': '0.001527', 'num_input_tokens_seen': 34799, 'train_runtime': '19.46', 'train_tokens_per_second': '1788'}
|
| 21 |
+
{'loss': '0.907', 'grad_norm': '0.2419', 'learning_rate': '7.63e-07', 'epoch': '0.001616', 'num_input_tokens_seen': 36846, 'train_runtime': '20.5', 'train_tokens_per_second': '1797'}
|
| 22 |
+
{'loss': '1.177', 'grad_norm': '0.2575', 'learning_rate': '8.079e-07', 'epoch': '0.001706', 'num_input_tokens_seen': 38893, 'train_runtime': '21.54', 'train_tokens_per_second': '1806'}
|
| 23 |
+
{'loss': '1.278', 'grad_norm': '0.2442', 'learning_rate': '8.528e-07', 'epoch': '0.001796', 'num_input_tokens_seen': 40940, 'train_runtime': '22.57', 'train_tokens_per_second': '1814'}
|
| 24 |
+
{'loss': '1.878', 'grad_norm': '0.3', 'learning_rate': '8.977e-07', 'epoch': '0.001886', 'num_input_tokens_seen': 42987, 'train_runtime': '23.61', 'train_tokens_per_second': '1821'}
|
| 25 |
+
{'loss': '0.9665', 'grad_norm': '0.2153', 'learning_rate': '9.425e-07', 'epoch': '0.001976', 'num_input_tokens_seen': 45034, 'train_runtime': '24.65', 'train_tokens_per_second': '1827'}
|
| 26 |
+
{'loss': '1.523', 'grad_norm': '0.2703', 'learning_rate': '9.874e-07', 'epoch': '0.002065', 'num_input_tokens_seen': 47081, 'train_runtime': '25.68', 'train_tokens_per_second': '1833'}
|
| 27 |
+
{'loss': '0.8783', 'grad_norm': '0.3028', 'learning_rate': '1.032e-06', 'epoch': '0.002155', 'num_input_tokens_seen': 49128, 'train_runtime': '26.72', 'train_tokens_per_second': '1839'}
|
| 28 |
+
{'loss': '1.575', 'grad_norm': '0.2798', 'learning_rate': '1.077e-06', 'epoch': '0.002245', 'num_input_tokens_seen': 51175, 'train_runtime': '27.76', 'train_tokens_per_second': '1844'}
|
| 29 |
+
{'loss': '0.8776', 'grad_norm': '0.2335', 'learning_rate': '1.122e-06', 'epoch': '0.002335', 'num_input_tokens_seen': 53222, 'train_runtime': '28.8', 'train_tokens_per_second': '1848'}
|
| 30 |
+
{'loss': '1.506', 'grad_norm': '0.2822', 'learning_rate': '1.167e-06', 'epoch': '0.002425', 'num_input_tokens_seen': 55269, 'train_runtime': '29.83', 'train_tokens_per_second': '1853'}
|
| 31 |
+
{'loss': '1.254', 'grad_norm': '0.2654', 'learning_rate': '1.212e-06', 'epoch': '0.002514', 'num_input_tokens_seen': 57316, 'train_runtime': '30.87', 'train_tokens_per_second': '1857'}
|
| 32 |
+
{'loss': '1.6', 'grad_norm': '0.2917', 'learning_rate': '1.257e-06', 'epoch': '0.002604', 'num_input_tokens_seen': 59363, 'train_runtime': '31.91', 'train_tokens_per_second': '1860'}
|
| 33 |
+
{'loss': '1.528', 'grad_norm': '0.2771', 'learning_rate': '1.302e-06', 'epoch': '0.002694', 'num_input_tokens_seen': 61410, 'train_runtime': '32.95', 'train_tokens_per_second': '1864'}
|
| 34 |
+
{'loss': '1.289', 'grad_norm': '0.2888', 'learning_rate': '1.346e-06', 'epoch': '0.002784', 'num_input_tokens_seen': 63457, 'train_runtime': '34', 'train_tokens_per_second': '1867'}
|
| 35 |
+
{'loss': '1.432', 'grad_norm': '0.2445', 'learning_rate': '1.391e-06', 'epoch': '0.002874', 'num_input_tokens_seen': 65504, 'train_runtime': '35.03', 'train_tokens_per_second': '1870'}
|
| 36 |
+
{'loss': '1.927', 'grad_norm': '0.3254', 'learning_rate': '1.436e-06', 'epoch': '0.002963', 'num_input_tokens_seen': 67551, 'train_runtime': '36.07', 'train_tokens_per_second': '1873'}
|
| 37 |
+
{'loss': '1.006', 'grad_norm': '0.2496', 'learning_rate': '1.481e-06', 'epoch': '0.003053', 'num_input_tokens_seen': 69598, 'train_runtime': '37.11', 'train_tokens_per_second': '1876'}
|
| 38 |
+
{'loss': '1.744', 'grad_norm': '0.2966', 'learning_rate': '1.526e-06', 'epoch': '0.003143', 'num_input_tokens_seen': 71645, 'train_runtime': '38.14', 'train_tokens_per_second': '1878'}
|
| 39 |
+
{'loss': '1.206', 'grad_norm': '0.2677', 'learning_rate': '1.571e-06', 'epoch': '0.003233', 'num_input_tokens_seen': 73692, 'train_runtime': '39.18', 'train_tokens_per_second': '1881'}
|
| 40 |
+
{'loss': '1.238', 'grad_norm': '0.2755', 'learning_rate': '1.616e-06', 'epoch': '0.003323', 'num_input_tokens_seen': 75739, 'train_runtime': '40.22', 'train_tokens_per_second': '1883'}
|
| 41 |
+
{'loss': '1.28', 'grad_norm': '0.2542', 'learning_rate': '1.661e-06', 'epoch': '0.003412', 'num_input_tokens_seen': 77786, 'train_runtime': '41.26', 'train_tokens_per_second': '1885'}
|
| 42 |
+
{'loss': '1.879', 'grad_norm': '0.3915', 'learning_rate': '1.706e-06', 'epoch': '0.003502', 'num_input_tokens_seen': 79833, 'train_runtime': '42.3', 'train_tokens_per_second': '1887'}
|
| 43 |
+
{'loss': '1.556', 'grad_norm': '0.2721', 'learning_rate': '1.75e-06', 'epoch': '0.003592', 'num_input_tokens_seen': 81880, 'train_runtime': '43.34', 'train_tokens_per_second': '1889'}
|
| 44 |
+
{'loss': '1.182', 'grad_norm': '0.235', 'learning_rate': '1.795e-06', 'epoch': '0.003682', 'num_input_tokens_seen': 83927, 'train_runtime': '44.38', 'train_tokens_per_second': '1891'}
|
| 45 |
+
{'loss': '1.167', 'grad_norm': '0.2633', 'learning_rate': '1.84e-06', 'epoch': '0.003772', 'num_input_tokens_seen': 85974, 'train_runtime': '45.42', 'train_tokens_per_second': '1893'}
|
| 46 |
+
{'loss': '2.292', 'grad_norm': '0.3385', 'learning_rate': '1.885e-06', 'epoch': '0.003861', 'num_input_tokens_seen': 88021, 'train_runtime': '46.45', 'train_tokens_per_second': '1895'}
|
| 47 |
+
{'loss': '1.286', 'grad_norm': '0.2488', 'learning_rate': '1.93e-06', 'epoch': '0.003951', 'num_input_tokens_seen': 90068, 'train_runtime': '47.5', 'train_tokens_per_second': '1896'}
|
| 48 |
+
{'loss': '1.573', 'grad_norm': '0.279', 'learning_rate': '1.975e-06', 'epoch': '0.004041', 'num_input_tokens_seen': 92115, 'train_runtime': '48.54', 'train_tokens_per_second': '1898'}
|
| 49 |
+
{'loss': '1.246', 'grad_norm': '0.2553', 'learning_rate': '2.02e-06', 'epoch': '0.004131', 'num_input_tokens_seen': 94162, 'train_runtime': '49.58', 'train_tokens_per_second': '1899'}
|
| 50 |
+
{'loss': '1.32', 'grad_norm': '0.2738', 'learning_rate': '2.065e-06', 'epoch': '0.004221', 'num_input_tokens_seen': 96209, 'train_runtime': '50.61', 'train_tokens_per_second': '1901'}
|
| 51 |
+
{'loss': '0.9932', 'grad_norm': '0.4337', 'learning_rate': '2.11e-06', 'epoch': '0.00431', 'num_input_tokens_seen': 98256, 'train_runtime': '51.66', 'train_tokens_per_second': '1902'}
|
| 52 |
+
{'loss': '2.289', 'grad_norm': '0.312', 'learning_rate': '2.154e-06', 'epoch': '0.0044', 'num_input_tokens_seen': 100303, 'train_runtime': '52.7', 'train_tokens_per_second': '1903'}
|
| 53 |
+
{'loss': '2.25', 'grad_norm': '0.3376', 'learning_rate': '2.199e-06', 'epoch': '0.00449', 'num_input_tokens_seen': 102350, 'train_runtime': '53.74', 'train_tokens_per_second': '1905'}
|
| 54 |
+
{'loss': '1.754', 'grad_norm': '0.6014', 'learning_rate': '2.244e-06', 'epoch': '0.00458', 'num_input_tokens_seen': 104397, 'train_runtime': '54.78', 'train_tokens_per_second': '1906'}
|
| 55 |
+
{'loss': '1.62', 'grad_norm': '0.3797', 'learning_rate': '2.289e-06', 'epoch': '0.00467', 'num_input_tokens_seen': 106444, 'train_runtime': '55.81', 'train_tokens_per_second': '1907'}
|
| 56 |
+
{'loss': '1.552', 'grad_norm': '0.2929', 'learning_rate': '2.334e-06', 'epoch': '0.004759', 'num_input_tokens_seen': 108491, 'train_runtime': '56.86', 'train_tokens_per_second': '1908'}
|
| 57 |
+
{'loss': '0.989', 'grad_norm': '0.2345', 'learning_rate': '2.379e-06', 'epoch': '0.004849', 'num_input_tokens_seen': 110538, 'train_runtime': '57.9', 'train_tokens_per_second': '1909'}
|
| 58 |
+
{'loss': '1.245', 'grad_norm': '0.2963', 'learning_rate': '2.424e-06', 'epoch': '0.004939', 'num_input_tokens_seen': 112585, 'train_runtime': '58.94', 'train_tokens_per_second': '1910'}
|
| 59 |
+
{'loss': '2.028', 'grad_norm': '0.3705', 'learning_rate': '2.469e-06', 'epoch': '0.005029', 'num_input_tokens_seen': 114632, 'train_runtime': '59.98', 'train_tokens_per_second': '1911'}
|
| 60 |
+
{'loss': '1.265', 'grad_norm': '0.2613', 'learning_rate': '2.513e-06', 'epoch': '0.005119', 'num_input_tokens_seen': 116679, 'train_runtime': '61.02', 'train_tokens_per_second': '1912'}
|
| 61 |
+
{'loss': '2.028', 'grad_norm': '0.325', 'learning_rate': '2.558e-06', 'epoch': '0.005208', 'num_input_tokens_seen': 118726, 'train_runtime': '62.06', 'train_tokens_per_second': '1913'}
|
| 62 |
+
{'loss': '2.258', 'grad_norm': '0.316', 'learning_rate': '2.603e-06', 'epoch': '0.005298', 'num_input_tokens_seen': 120773, 'train_runtime': '63.1', 'train_tokens_per_second': '1914'}
|
| 63 |
+
{'loss': '1.406', 'grad_norm': '0.279', 'learning_rate': '2.648e-06', 'epoch': '0.005388', 'num_input_tokens_seen': 122820, 'train_runtime': '64.14', 'train_tokens_per_second': '1915'}
|
| 64 |
+
{'loss': '1.469', 'grad_norm': '0.2524', 'learning_rate': '2.693e-06', 'epoch': '0.005478', 'num_input_tokens_seen': 124867, 'train_runtime': '65.18', 'train_tokens_per_second': '1916'}
|
| 65 |
+
{'loss': '1.248', 'grad_norm': '0.2516', 'learning_rate': '2.738e-06', 'epoch': '0.005568', 'num_input_tokens_seen': 126914, 'train_runtime': '66.22', 'train_tokens_per_second': '1917'}
|
| 66 |
+
{'loss': '1.191', 'grad_norm': '0.2327', 'learning_rate': '2.783e-06', 'epoch': '0.005657', 'num_input_tokens_seen': 128961, 'train_runtime': '67.26', 'train_tokens_per_second': '1917'}
|
| 67 |
+
{'loss': '2.004', 'grad_norm': '0.3521', 'learning_rate': '2.828e-06', 'epoch': '0.005747', 'num_input_tokens_seen': 131008, 'train_runtime': '68.3', 'train_tokens_per_second': '1918'}
|
| 68 |
+
{'loss': '1.184', 'grad_norm': '0.2845', 'learning_rate': '2.873e-06', 'epoch': '0.005837', 'num_input_tokens_seen': 133055, 'train_runtime': '69.34', 'train_tokens_per_second': '1919'}
|
| 69 |
+
{'loss': '1.941', 'grad_norm': '0.3393', 'learning_rate': '2.917e-06', 'epoch': '0.005927', 'num_input_tokens_seen': 135102, 'train_runtime': '70.38', 'train_tokens_per_second': '1920'}
|
| 70 |
+
{'loss': '1.352', 'grad_norm': '0.3023', 'learning_rate': '2.962e-06', 'epoch': '0.006017', 'num_input_tokens_seen': 137149, 'train_runtime': '71.42', 'train_tokens_per_second': '1920'}
|
| 71 |
+
{'loss': '1.517', 'grad_norm': '0.3025', 'learning_rate': '3.007e-06', 'epoch': '0.006106', 'num_input_tokens_seen': 139196, 'train_runtime': '72.47', 'train_tokens_per_second': '1921'}
|
| 72 |
+
{'loss': '1.266', 'grad_norm': '0.3097', 'learning_rate': '3.052e-06', 'epoch': '0.006196', 'num_input_tokens_seen': 141243, 'train_runtime': '73.51', 'train_tokens_per_second': '1921'}
|
| 73 |
+
{'loss': '1.509', 'grad_norm': '0.3378', 'learning_rate': '3.097e-06', 'epoch': '0.006286', 'num_input_tokens_seen': 143290, 'train_runtime': '74.55', 'train_tokens_per_second': '1922'}
|
| 74 |
+
{'loss': '1.498', 'grad_norm': '0.3045', 'learning_rate': '3.142e-06', 'epoch': '0.006376', 'num_input_tokens_seen': 145337, 'train_runtime': '75.6', 'train_tokens_per_second': '1922'}
|
| 75 |
+
{'loss': '1.202', 'grad_norm': '0.2492', 'learning_rate': '3.187e-06', 'epoch': '0.006466', 'num_input_tokens_seen': 147384, 'train_runtime': '76.64', 'train_tokens_per_second': '1923'}
|
| 76 |
+
{'loss': '1.833', 'grad_norm': '0.3606', 'learning_rate': '3.232e-06', 'epoch': '0.006555', 'num_input_tokens_seen': 149431, 'train_runtime': '77.68', 'train_tokens_per_second': '1924'}
|
| 77 |
+
{'loss': '2.342', 'grad_norm': '0.3516', 'learning_rate': '3.276e-06', 'epoch': '0.006645', 'num_input_tokens_seen': 151478, 'train_runtime': '78.72', 'train_tokens_per_second': '1924'}
|
| 78 |
+
{'loss': '0.9371', 'grad_norm': '0.2143', 'learning_rate': '3.321e-06', 'epoch': '0.006735', 'num_input_tokens_seen': 153525, 'train_runtime': '79.77', 'train_tokens_per_second': '1925'}
|
| 79 |
+
{'loss': '1.192', 'grad_norm': '0.2637', 'learning_rate': '3.366e-06', 'epoch': '0.006825', 'num_input_tokens_seen': 155572, 'train_runtime': '80.81', 'train_tokens_per_second': '1925'}
|
| 80 |
+
{'loss': '0.8591', 'grad_norm': '0.2422', 'learning_rate': '3.411e-06', 'epoch': '0.006915', 'num_input_tokens_seen': 157619, 'train_runtime': '81.85', 'train_tokens_per_second': '1926'}
|
| 81 |
+
{'loss': '1.28', 'grad_norm': '0.3029', 'learning_rate': '3.456e-06', 'epoch': '0.007004', 'num_input_tokens_seen': 159666, 'train_runtime': '82.9', 'train_tokens_per_second': '1926'}
|
| 82 |
+
{'loss': '1.152', 'grad_norm': '0.3476', 'learning_rate': '3.501e-06', 'epoch': '0.007094', 'num_input_tokens_seen': 161713, 'train_runtime': '83.94', 'train_tokens_per_second': '1927'}
|
| 83 |
+
{'loss': '1.221', 'grad_norm': '0.255', 'learning_rate': '3.546e-06', 'epoch': '0.007184', 'num_input_tokens_seen': 163760, 'train_runtime': '84.98', 'train_tokens_per_second': '1927'}
|
| 84 |
+
{'loss': '1.569', 'grad_norm': '0.3112', 'learning_rate': '3.591e-06', 'epoch': '0.007274', 'num_input_tokens_seen': 165807, 'train_runtime': '86.02', 'train_tokens_per_second': '1928'}
|
| 85 |
+
{'loss': '1.185', 'grad_norm': '0.2869', 'learning_rate': '3.636e-06', 'epoch': '0.007364', 'num_input_tokens_seen': 167854, 'train_runtime': '87.06', 'train_tokens_per_second': '1928'}
|
| 86 |
+
{'loss': '1.581', 'grad_norm': '0.3221', 'learning_rate': '3.68e-06', 'epoch': '0.007453', 'num_input_tokens_seen': 169901, 'train_runtime': '88.1', 'train_tokens_per_second': '1928'}
|
| 87 |
+
{'loss': '1.226', 'grad_norm': '0.2599', 'learning_rate': '3.725e-06', 'epoch': '0.007543', 'num_input_tokens_seen': 171948, 'train_runtime': '89.15', 'train_tokens_per_second': '1929'}
|
| 88 |
+
{'loss': '1.89', 'grad_norm': '0.3248', 'learning_rate': '3.77e-06', 'epoch': '0.007633', 'num_input_tokens_seen': 173995, 'train_runtime': '90.19', 'train_tokens_per_second': '1929'}
|
| 89 |
+
{'loss': '1.249', 'grad_norm': '0.2722', 'learning_rate': '3.815e-06', 'epoch': '0.007723', 'num_input_tokens_seen': 176042, 'train_runtime': '91.23', 'train_tokens_per_second': '1930'}
|
| 90 |
+
{'loss': '1.531', 'grad_norm': '0.2899', 'learning_rate': '3.86e-06', 'epoch': '0.007812', 'num_input_tokens_seen': 178089, 'train_runtime': '92.27', 'train_tokens_per_second': '1930'}
|
| 91 |
+
{'loss': '1.192', 'grad_norm': '0.2562', 'learning_rate': '3.905e-06', 'epoch': '0.007902', 'num_input_tokens_seen': 180136, 'train_runtime': '93.31', 'train_tokens_per_second': '1931'}
|
| 92 |
+
{'loss': '1.206', 'grad_norm': '0.2712', 'learning_rate': '3.95e-06', 'epoch': '0.007992', 'num_input_tokens_seen': 182183, 'train_runtime': '94.35', 'train_tokens_per_second': '1931'}
|
| 93 |
+
{'loss': '1.52', 'grad_norm': '0.2991', 'learning_rate': '3.995e-06', 'epoch': '0.008082', 'num_input_tokens_seen': 184230, 'train_runtime': '95.4', 'train_tokens_per_second': '1931'}
|
| 94 |
+
{'loss': '1.533', 'grad_norm': '0.3098', 'learning_rate': '4.039e-06', 'epoch': '0.008172', 'num_input_tokens_seen': 186277, 'train_runtime': '96.44', 'train_tokens_per_second': '1932'}
|
| 95 |
+
{'loss': '1.001', 'grad_norm': '0.2536', 'learning_rate': '4.084e-06', 'epoch': '0.008261', 'num_input_tokens_seen': 188324, 'train_runtime': '97.48', 'train_tokens_per_second': '1932'}
|
| 96 |
+
{'loss': '2.11', 'grad_norm': '0.4001', 'learning_rate': '4.129e-06', 'epoch': '0.008351', 'num_input_tokens_seen': 190371, 'train_runtime': '98.52', 'train_tokens_per_second': '1932'}
|
| 97 |
+
{'loss': '1.491', 'grad_norm': '0.3261', 'learning_rate': '4.174e-06', 'epoch': '0.008441', 'num_input_tokens_seen': 192418, 'train_runtime': '99.56', 'train_tokens_per_second': '1933'}
|
| 98 |
+
{'loss': '1.224', 'grad_norm': '0.2763', 'learning_rate': '4.219e-06', 'epoch': '0.008531', 'num_input_tokens_seen': 194465, 'train_runtime': '100.6', 'train_tokens_per_second': '1933'}
|
| 99 |
+
{'loss': '1.193', 'grad_norm': '0.3007', 'learning_rate': '4.264e-06', 'epoch': '0.008621', 'num_input_tokens_seen': 196512, 'train_runtime': '101.6', 'train_tokens_per_second': '1933'}
|
| 100 |
+
{'loss': '1.214', 'grad_norm': '0.3006', 'learning_rate': '4.309e-06', 'epoch': '0.00871', 'num_input_tokens_seen': 198559, 'train_runtime': '102.7', 'train_tokens_per_second': '1933'}
|
| 101 |
+
{'loss': '1.213', 'grad_norm': '0.2925', 'learning_rate': '4.354e-06', 'epoch': '0.0088', 'num_input_tokens_seen': 200606, 'train_runtime': '103.7', 'train_tokens_per_second': '1934'}
|
| 102 |
+
{'loss': '0.8758', 'grad_norm': '0.259', 'learning_rate': '4.399e-06', 'epoch': '0.00889', 'num_input_tokens_seen': 202653, 'train_runtime': '104.8', 'train_tokens_per_second': '1934'}
|
| 103 |
+
{'loss': '0.943', 'grad_norm': '0.2397', 'learning_rate': '4.443e-06', 'epoch': '0.00898', 'num_input_tokens_seen': 204700, 'train_runtime': '105.8', 'train_tokens_per_second': '1934'}
|
| 104 |
+
{'loss': '1.219', 'grad_norm': '0.2605', 'learning_rate': '4.488e-06', 'epoch': '0.00907', 'num_input_tokens_seen': 206747, 'train_runtime': '106.9', 'train_tokens_per_second': '1935'}
|
| 105 |
+
{'loss': '0.863', 'grad_norm': '0.2432', 'learning_rate': '4.533e-06', 'epoch': '0.009159', 'num_input_tokens_seen': 208794, 'train_runtime': '107.9', 'train_tokens_per_second': '1935'}
|
| 106 |
+
{'loss': '1.31', 'grad_norm': '0.2713', 'learning_rate': '4.578e-06', 'epoch': '0.009249', 'num_input_tokens_seen': 210841, 'train_runtime': '108.9', 'train_tokens_per_second': '1935'}
|
| 107 |
+
{'loss': '1.412', 'grad_norm': '0.3386', 'learning_rate': '4.623e-06', 'epoch': '0.009339', 'num_input_tokens_seen': 212888, 'train_runtime': '110', 'train_tokens_per_second': '1935'}
|
| 108 |
+
{'loss': '2.002', 'grad_norm': '0.3573', 'learning_rate': '4.668e-06', 'epoch': '0.009429', 'num_input_tokens_seen': 214935, 'train_runtime': '111', 'train_tokens_per_second': '1936'}
|
| 109 |
+
{'loss': '0.8411', 'grad_norm': '0.2601', 'learning_rate': '4.713e-06', 'epoch': '0.009519', 'num_input_tokens_seen': 216982, 'train_runtime': '112.1', 'train_tokens_per_second': '1936'}
|
| 110 |
+
{'loss': '1.195', 'grad_norm': '0.3129', 'learning_rate': '4.758e-06', 'epoch': '0.009608', 'num_input_tokens_seen': 219029, 'train_runtime': '113.1', 'train_tokens_per_second': '1936'}
|
| 111 |
+
{'loss': '1.785', 'grad_norm': '0.3384', 'learning_rate': '4.803e-06', 'epoch': '0.009698', 'num_input_tokens_seen': 221076, 'train_runtime': '114.2', 'train_tokens_per_second': '1936'}
|
| 112 |
+
{'loss': '1.227', 'grad_norm': '0.2873', 'learning_rate': '4.847e-06', 'epoch': '0.009788', 'num_input_tokens_seen': 223123, 'train_runtime': '115.2', 'train_tokens_per_second': '1937'}
|
| 113 |
+
{'loss': '1.183', 'grad_norm': '0.2764', 'learning_rate': '4.892e-06', 'epoch': '0.009878', 'num_input_tokens_seen': 225170, 'train_runtime': '116.3', 'train_tokens_per_second': '1937'}
|
| 114 |
+
{'loss': '1.201', 'grad_norm': '0.289', 'learning_rate': '4.937e-06', 'epoch': '0.009968', 'num_input_tokens_seen': 227217, 'train_runtime': '117.3', 'train_tokens_per_second': '1937'}
|
| 115 |
+
{'loss': '1.396', 'grad_norm': '0.3248', 'learning_rate': '4.982e-06', 'epoch': '0.01006', 'num_input_tokens_seen': 229264, 'train_runtime': '118.3', 'train_tokens_per_second': '1937'}
|
| 116 |
+
{'loss': '1.483', 'grad_norm': '0.3318', 'learning_rate': '5.027e-06', 'epoch': '0.01015', 'num_input_tokens_seen': 231311, 'train_runtime': '119.4', 'train_tokens_per_second': '1938'}
|
| 117 |
+
{'loss': '0.9033', 'grad_norm': '0.2992', 'learning_rate': '5.072e-06', 'epoch': '0.01024', 'num_input_tokens_seen': 233358, 'train_runtime': '120.4', 'train_tokens_per_second': '1938'}
|
| 118 |
+
{'loss': '1.267', 'grad_norm': '0.2815', 'learning_rate': '5.117e-06', 'epoch': '0.01033', 'num_input_tokens_seen': 235405, 'train_runtime': '121.5', 'train_tokens_per_second': '1938'}
|
| 119 |
+
{'loss': '1.461', 'grad_norm': '0.3357', 'learning_rate': '5.162e-06', 'epoch': '0.01042', 'num_input_tokens_seen': 237452, 'train_runtime': '122.5', 'train_tokens_per_second': '1938'}
|
| 120 |
+
{'loss': '1.264', 'grad_norm': '0.3197', 'learning_rate': '5.206e-06', 'epoch': '0.01051', 'num_input_tokens_seen': 239499, 'train_runtime': '123.6', 'train_tokens_per_second': '1938'}
|
| 121 |
+
{'loss': '1.229', 'grad_norm': '0.2616', 'learning_rate': '5.251e-06', 'epoch': '0.0106', 'num_input_tokens_seen': 241546, 'train_runtime': '124.6', 'train_tokens_per_second': '1939'}
|
| 122 |
+
{'loss': '0.9597', 'grad_norm': '0.2802', 'learning_rate': '5.296e-06', 'epoch': '0.01069', 'num_input_tokens_seen': 243593, 'train_runtime': '125.6', 'train_tokens_per_second': '1939'}
|
| 123 |
+
{'loss': '1.521', 'grad_norm': '0.3153', 'learning_rate': '5.341e-06', 'epoch': '0.01078', 'num_input_tokens_seen': 245640, 'train_runtime': '126.7', 'train_tokens_per_second': '1939'}
|
| 124 |
+
{'loss': '1.466', 'grad_norm': '0.3256', 'learning_rate': '5.386e-06', 'epoch': '0.01087', 'num_input_tokens_seen': 247687, 'train_runtime': '127.7', 'train_tokens_per_second': '1939'}
|
| 125 |
+
File "/usr/local/bin/llamafactory-cli", line 8, in <module>
|
| 126 |
+
sys.exit(main())
|
| 127 |
+
^^^^^^
|
| 128 |
+
File "/workspace/LlamaFactory/src/llamafactory/cli.py", line 24, in main
|
| 129 |
+
launcher.launch()
|
| 130 |
+
File "/workspace/LlamaFactory/src/llamafactory/launcher.py", line 157, in launch
|
| 131 |
+
run_exp()
|
| 132 |
+
File "/workspace/LlamaFactory/src/llamafactory/train/tuner.py", line 125, in run_exp
|
| 133 |
+
_training_function(config={"args": args, "callbacks": callbacks})
|
| 134 |
+
File "/workspace/LlamaFactory/src/llamafactory/train/tuner.py", line 91, in _training_function
|
| 135 |
+
run_pt(model_args, data_args, training_args, finetuning_args, callbacks)
|
| 136 |
+
File "/workspace/LlamaFactory/src/llamafactory/train/pt/workflow.py", line 63, in run_pt
|
| 137 |
+
train_result = trainer.train(resume_from_checkpoint=training_args.resume_from_checkpoint)
|
| 138 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 139 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/trainer.py", line 2174, in train
|
| 140 |
+
return inner_training_loop(
|
| 141 |
+
^^^^^^^^^^^^^^^^^^^^
|
| 142 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/trainer.py", line 2536, in _inner_training_loop
|
| 143 |
+
tr_loss_step = self.training_step(model, inputs, num_items_in_batch)
|
| 144 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 145 |
+
File "/usr/local/lib/python3.11/dist-packages/transformers/trainer.py", line 3837, in training_step
|
| 146 |
+
self.accelerator.backward(loss, **kwargs)
|
| 147 |
+
File "/usr/local/lib/python3.11/dist-packages/accelerate/accelerator.py", line 2740, in backward
|
| 148 |
+
loss.backward(**kwargs)
|
| 149 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/_tensor.py", line 521, in backward
|
| 150 |
+
torch.autograd.backward(
|
| 151 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/autograd/__init__.py", line 289, in backward
|
| 152 |
+
_engine_run_backward(
|
| 153 |
+
File "/usr/local/lib/python3.11/dist-packages/torch/autograd/graph.py", line 769, in _engine_run_backward
|
| 154 |
+
return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
|
| 155 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 156 |
+
KeyboardInterrupt
|
LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/requirements.txt
ADDED
|
@@ -0,0 +1,257 @@
|
|
|
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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 |
+
pytz==2025.2
|
| 2 |
+
pydub==0.25.1
|
| 3 |
+
brotli==1.2.0
|
| 4 |
+
antlr4-python3-runtime==4.9.3
|
| 5 |
+
xxhash==3.6.0
|
| 6 |
+
websockets==15.0.1
|
| 7 |
+
tzdata==2025.3
|
| 8 |
+
typing_extensions==4.15.0
|
| 9 |
+
tqdm==4.67.3
|
| 10 |
+
tomlkit==0.13.3
|
| 11 |
+
termcolor==3.3.0
|
| 12 |
+
shtab==1.8.0
|
| 13 |
+
shellingham==1.5.4
|
| 14 |
+
sentencepiece==0.2.1
|
| 15 |
+
semantic-version==2.10.0
|
| 16 |
+
safetensors==0.7.0
|
| 17 |
+
ruff==0.15.0
|
| 18 |
+
regex==2026.1.15
|
| 19 |
+
python-multipart==0.0.22
|
| 20 |
+
pyparsing==3.3.2
|
| 21 |
+
pyarrow==23.0.0
|
| 22 |
+
protobuf==6.33.5
|
| 23 |
+
propcache==0.4.1
|
| 24 |
+
orjson==3.11.7
|
| 25 |
+
omegaconf==2.3.0
|
| 26 |
+
numpy==2.4.2
|
| 27 |
+
multidict==6.7.1
|
| 28 |
+
mdurl==0.1.2
|
| 29 |
+
kiwisolver==1.4.9
|
| 30 |
+
hf-xet==1.2.0
|
| 31 |
+
hf_transfer==0.1.9
|
| 32 |
+
groovy==0.1.2
|
| 33 |
+
frozenlist==1.8.0
|
| 34 |
+
fonttools==4.61.1
|
| 35 |
+
ffmpy==1.0.0
|
| 36 |
+
einops==0.8.2
|
| 37 |
+
docstring_parser==0.17.0
|
| 38 |
+
dill==0.3.8
|
| 39 |
+
cycler==0.12.1
|
| 40 |
+
click==8.3.1
|
| 41 |
+
av==16.0.0
|
| 42 |
+
annotated-types==0.7.0
|
| 43 |
+
annotated-doc==0.0.4
|
| 44 |
+
aiohappyeyeballs==2.6.1
|
| 45 |
+
aiofiles==24.1.0
|
| 46 |
+
yarl==1.22.0
|
| 47 |
+
uvicorn==0.40.0
|
| 48 |
+
typing-inspection==0.4.2
|
| 49 |
+
typer-slim==0.21.1
|
| 50 |
+
tiktoken==0.12.0
|
| 51 |
+
scipy==1.17.0
|
| 52 |
+
pydantic_core==2.41.4
|
| 53 |
+
pandas==2.3.3
|
| 54 |
+
multiprocess==0.70.16
|
| 55 |
+
modelscope==1.34.0
|
| 56 |
+
markdown-it-py==4.0.0
|
| 57 |
+
fire==0.7.1
|
| 58 |
+
contourpy==1.3.3
|
| 59 |
+
anyio==4.12.1
|
| 60 |
+
aiosignal==1.4.0
|
| 61 |
+
starlette==0.52.1
|
| 62 |
+
rich==14.3.2
|
| 63 |
+
pydantic==2.12.3
|
| 64 |
+
matplotlib==3.10.8
|
| 65 |
+
aiohttp==3.13.3
|
| 66 |
+
tyro==0.8.14
|
| 67 |
+
typer==0.21.1
|
| 68 |
+
torchdata==0.11.0
|
| 69 |
+
sse-starlette==3.2.0
|
| 70 |
+
safehttpx==0.1.7
|
| 71 |
+
huggingface_hub==1.4.1
|
| 72 |
+
fastapi==0.128.5
|
| 73 |
+
tokenizers==0.22.2
|
| 74 |
+
gradio_client==1.14.0
|
| 75 |
+
datasets==4.0.0
|
| 76 |
+
accelerate==1.11.0
|
| 77 |
+
transformers==5.0.0
|
| 78 |
+
gradio==5.50.0
|
| 79 |
+
trl==0.24.0
|
| 80 |
+
peft==0.18.1
|
| 81 |
+
llamafactory==0.9.5.dev0
|
| 82 |
+
jieba==0.42.1
|
| 83 |
+
rouge-chinese==1.0.3
|
| 84 |
+
joblib==1.5.3
|
| 85 |
+
nltk==3.9.2
|
| 86 |
+
py-cpuinfo==9.0.0
|
| 87 |
+
nvidia-ml-py==13.590.48
|
| 88 |
+
hjson==3.1.0
|
| 89 |
+
ninja==1.13.0
|
| 90 |
+
msgpack==1.1.2
|
| 91 |
+
deepspeed==0.16.9
|
| 92 |
+
smmap==5.0.2
|
| 93 |
+
sentry-sdk==2.52.0
|
| 94 |
+
gitdb==4.0.12
|
| 95 |
+
GitPython==3.1.46
|
| 96 |
+
wandb==0.24.2
|
| 97 |
+
entrypoints==0.4
|
| 98 |
+
jupyter_client==7.4.9
|
| 99 |
+
nbclassic==1.1.0
|
| 100 |
+
notebook==6.5.5
|
| 101 |
+
pyzmq==24.0.1
|
| 102 |
+
PyYAML==6.0.2
|
| 103 |
+
Send2Trash==1.8.3
|
| 104 |
+
argon2-cffi==23.1.0
|
| 105 |
+
argon2-cffi-bindings==21.2.0
|
| 106 |
+
arrow==1.3.0
|
| 107 |
+
asttokens==2.4.1
|
| 108 |
+
async-lru==2.0.4
|
| 109 |
+
attrs==24.2.0
|
| 110 |
+
babel==2.16.0
|
| 111 |
+
beautifulsoup4==4.12.3
|
| 112 |
+
bleach==6.1.0
|
| 113 |
+
certifi==2024.8.30
|
| 114 |
+
cffi==1.17.1
|
| 115 |
+
charset-normalizer==3.3.2
|
| 116 |
+
comm==0.2.2
|
| 117 |
+
debugpy==1.8.5
|
| 118 |
+
decorator==5.1.1
|
| 119 |
+
defusedxml==0.7.1
|
| 120 |
+
executing==2.1.0
|
| 121 |
+
fastjsonschema==2.20.0
|
| 122 |
+
fqdn==1.5.1
|
| 123 |
+
h11==0.14.0
|
| 124 |
+
httpcore==1.0.5
|
| 125 |
+
httpx==0.27.2
|
| 126 |
+
idna==3.10
|
| 127 |
+
ipykernel==6.29.5
|
| 128 |
+
ipython==8.27.0
|
| 129 |
+
ipython-genutils==0.2.0
|
| 130 |
+
ipywidgets==8.1.5
|
| 131 |
+
isoduration==20.11.0
|
| 132 |
+
jedi==0.19.1
|
| 133 |
+
json5==0.9.25
|
| 134 |
+
jsonpointer==3.0.0
|
| 135 |
+
jsonschema==4.23.0
|
| 136 |
+
jsonschema-specifications==2023.12.1
|
| 137 |
+
jupyter-archive==3.4.0
|
| 138 |
+
jupyter_contrib_core==0.4.2
|
| 139 |
+
jupyter_contrib_nbextensions==0.7.0
|
| 140 |
+
jupyter_core==5.7.2
|
| 141 |
+
jupyter-events==0.10.0
|
| 142 |
+
jupyter-highlight-selected-word==0.2.0
|
| 143 |
+
jupyter-lsp==2.2.5
|
| 144 |
+
jupyter_nbextensions_configurator==0.6.4
|
| 145 |
+
jupyter_server==2.14.2
|
| 146 |
+
jupyter_server_terminals==0.5.3
|
| 147 |
+
jupyterlab==4.2.5
|
| 148 |
+
jupyterlab_pygments==0.3.0
|
| 149 |
+
jupyterlab_server==2.27.3
|
| 150 |
+
jupyterlab_widgets==3.0.13
|
| 151 |
+
lxml==5.3.0
|
| 152 |
+
matplotlib-inline==0.1.7
|
| 153 |
+
mistune==3.0.2
|
| 154 |
+
nbclient==0.10.0
|
| 155 |
+
nbconvert==7.16.4
|
| 156 |
+
nbformat==5.10.4
|
| 157 |
+
nest-asyncio==1.6.0
|
| 158 |
+
notebook_shim==0.2.4
|
| 159 |
+
overrides==7.7.0
|
| 160 |
+
packaging==24.1
|
| 161 |
+
pandocfilters==1.5.1
|
| 162 |
+
parso==0.8.4
|
| 163 |
+
pexpect==4.9.0
|
| 164 |
+
platformdirs==4.3.6
|
| 165 |
+
prometheus_client==0.21.0
|
| 166 |
+
prompt_toolkit==3.0.47
|
| 167 |
+
psutil==6.0.0
|
| 168 |
+
ptyprocess==0.7.0
|
| 169 |
+
pure_eval==0.2.3
|
| 170 |
+
pycparser==2.22
|
| 171 |
+
Pygments==2.18.0
|
| 172 |
+
python-dateutil==2.9.0.post0
|
| 173 |
+
python-json-logger==2.0.7
|
| 174 |
+
referencing==0.35.1
|
| 175 |
+
requests==2.32.3
|
| 176 |
+
rfc3339-validator==0.1.4
|
| 177 |
+
rfc3986-validator==0.1.1
|
| 178 |
+
rpds-py==0.20.0
|
| 179 |
+
sniffio==1.3.1
|
| 180 |
+
soupsieve==2.6
|
| 181 |
+
stack-data==0.6.3
|
| 182 |
+
terminado==0.18.1
|
| 183 |
+
tinycss2==1.3.0
|
| 184 |
+
tornado==6.4.1
|
| 185 |
+
traitlets==5.14.3
|
| 186 |
+
types-python-dateutil==2.9.0.20240906
|
| 187 |
+
uri-template==1.3.0
|
| 188 |
+
urllib3==2.2.3
|
| 189 |
+
wcwidth==0.2.13
|
| 190 |
+
webcolors==24.8.0
|
| 191 |
+
webencodings==0.5.1
|
| 192 |
+
websocket-client==1.8.0
|
| 193 |
+
widgetsnbextension==4.0.13
|
| 194 |
+
Jinja2==3.1.3
|
| 195 |
+
MarkupSafe==2.1.5
|
| 196 |
+
filelock==3.13.1
|
| 197 |
+
fsspec==2024.2.0
|
| 198 |
+
mpmath==1.3.0
|
| 199 |
+
networkx==3.2.1
|
| 200 |
+
nvidia-cublas-cu12==12.4.2.65
|
| 201 |
+
nvidia-cuda-cupti-cu12==12.4.99
|
| 202 |
+
nvidia-cuda-nvrtc-cu12==12.4.99
|
| 203 |
+
nvidia-cuda-runtime-cu12==12.4.99
|
| 204 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 205 |
+
nvidia-cufft-cu12==11.2.0.44
|
| 206 |
+
nvidia-curand-cu12==10.3.5.119
|
| 207 |
+
nvidia-cusolver-cu12==11.6.0.99
|
| 208 |
+
nvidia-cusparse-cu12==12.3.0.142
|
| 209 |
+
nvidia-nccl-cu12==2.20.5
|
| 210 |
+
nvidia-nvjitlink-cu12==12.4.99
|
| 211 |
+
nvidia-nvtx-cu12==12.4.99
|
| 212 |
+
pillow==10.2.0
|
| 213 |
+
sympy==1.12
|
| 214 |
+
torch==2.4.1+cu124
|
| 215 |
+
torchaudio==2.4.1+cu124
|
| 216 |
+
torchvision==0.19.1+cu124
|
| 217 |
+
triton==3.0.0
|
| 218 |
+
pip==24.2
|
| 219 |
+
setuptools==75.1.0
|
| 220 |
+
wheel==0.44.0
|
| 221 |
+
PyGObject==3.42.1
|
| 222 |
+
PyJWT==2.3.0
|
| 223 |
+
SecretStorage==3.3.1
|
| 224 |
+
blinker==1.4
|
| 225 |
+
cryptography==3.4.8
|
| 226 |
+
dbus-python==1.2.18
|
| 227 |
+
distro==1.7.0
|
| 228 |
+
httplib2==0.20.2
|
| 229 |
+
importlib-metadata==4.6.4
|
| 230 |
+
jeepney==0.7.1
|
| 231 |
+
keyring==23.5.0
|
| 232 |
+
launchpadlib==1.10.16
|
| 233 |
+
lazr.restfulclient==0.14.4
|
| 234 |
+
lazr.uri==1.0.6
|
| 235 |
+
more-itertools==8.10.0
|
| 236 |
+
oauthlib==3.2.0
|
| 237 |
+
python-apt==2.4.0+ubuntu4
|
| 238 |
+
six==1.16.0
|
| 239 |
+
wadllib==1.3.6
|
| 240 |
+
zipp==1.0.0
|
| 241 |
+
autocommand==2.2.2
|
| 242 |
+
backports.tarfile==1.2.0
|
| 243 |
+
importlib_metadata==8.0.0
|
| 244 |
+
importlib_resources==6.4.0
|
| 245 |
+
inflect==7.3.1
|
| 246 |
+
jaraco.collections==5.1.0
|
| 247 |
+
jaraco.context==5.3.0
|
| 248 |
+
jaraco.functools==4.0.1
|
| 249 |
+
jaraco.text==3.12.1
|
| 250 |
+
more-itertools==10.3.0
|
| 251 |
+
packaging==24.1
|
| 252 |
+
platformdirs==4.2.2
|
| 253 |
+
tomli==2.0.1
|
| 254 |
+
typeguard==4.3.0
|
| 255 |
+
typing_extensions==4.12.2
|
| 256 |
+
wheel==0.43.0
|
| 257 |
+
zipp==3.19.2
|
LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,41 @@
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-60-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.11.10",
|
| 4 |
+
"startedAt": "2026-02-09T08:03:05.241495Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"/workspace/v127rc_exp2/B_dup.yaml"
|
| 7 |
+
],
|
| 8 |
+
"program": "/usr/local/bin/llamafactory-cli",
|
| 9 |
+
"git": {
|
| 10 |
+
"remote": "https://github.com/hiyouga/LlamaFactory.git",
|
| 11 |
+
"commit": "1a02717fa84c270d1c156c4c4a391c2f95525a63"
|
| 12 |
+
},
|
| 13 |
+
"email": "markmochi200@gmail.com",
|
| 14 |
+
"root": "/workspace/LlamaFactory",
|
| 15 |
+
"host": "3bebe963f251",
|
| 16 |
+
"executable": "/usr/bin/python",
|
| 17 |
+
"cpu_count": 16,
|
| 18 |
+
"cpu_count_logical": 32,
|
| 19 |
+
"gpu": "NVIDIA GeForce RTX 4090",
|
| 20 |
+
"gpu_count": 1,
|
| 21 |
+
"disk": {
|
| 22 |
+
"/": {
|
| 23 |
+
"total": "21474836480",
|
| 24 |
+
"used": "2060378112"
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"memory": {
|
| 28 |
+
"total": "134156767232"
|
| 29 |
+
},
|
| 30 |
+
"gpu_nvidia": [
|
| 31 |
+
{
|
| 32 |
+
"name": "NVIDIA GeForce RTX 4090",
|
| 33 |
+
"memoryTotal": "25757220864",
|
| 34 |
+
"cudaCores": 16384,
|
| 35 |
+
"architecture": "Ada",
|
| 36 |
+
"uuid": "GPU-6c1e98c2-1b34-cfd8-5de5-319e272f1d1e"
|
| 37 |
+
}
|
| 38 |
+
],
|
| 39 |
+
"cudaVersion": "12.9",
|
| 40 |
+
"writerId": "1eab48yhuu1cnh8oebani4cfaxehtql2"
|
| 41 |
+
}
|
LlamaFactory/wandb/run-20260209_080305-rc9olpt3/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"train/learning_rate":5.385996409335727e-06,"_step":120,"_runtime":127,"train/grad_norm":0.3255986273288727,"train_runtime":127.7247,"train/num_input_tokens_seen":247687,"_timestamp":1.7706243125413227e+09,"train/loss":1.4658641815185547,"train/global_step":121,"train/train_tokens_per_second":1939.226,"_wandb":{"runtime":127},"train/epoch":0.01086566091954023}
|
LlamaFactory/wandb/run-20260209_080305-rc9olpt3/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,11 @@
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|
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|
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|
|
|
|
|
| 1 |
+
{"time":"2026-02-09T08:03:05.494912833Z","level":"INFO","msg":"stream: starting","core version":"0.24.2"}
|
| 2 |
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{"time":"2026-02-09T08:03:05.814243496Z","level":"INFO","msg":"stream: created new stream","id":"rc9olpt3"}
|
| 3 |
+
{"time":"2026-02-09T08:03:05.814810208Z","level":"INFO","msg":"handler: started","stream_id":"rc9olpt3"}
|
| 4 |
+
{"time":"2026-02-09T08:03:05.816182474Z","level":"INFO","msg":"stream: started","id":"rc9olpt3"}
|
| 5 |
+
{"time":"2026-02-09T08:03:05.816197572Z","level":"INFO","msg":"writer: started","stream_id":"rc9olpt3"}
|
| 6 |
+
{"time":"2026-02-09T08:03:05.81619655Z","level":"INFO","msg":"sender: started","stream_id":"rc9olpt3"}
|
| 7 |
+
{"time":"2026-02-09T08:05:13.521232852Z","level":"INFO","msg":"stream: closing","id":"rc9olpt3"}
|
| 8 |
+
{"time":"2026-02-09T08:05:14.079361011Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 9 |
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{"time":"2026-02-09T08:05:14.315037075Z","level":"INFO","msg":"handler: closed","stream_id":"rc9olpt3"}
|
| 10 |
+
{"time":"2026-02-09T08:05:14.320046119Z","level":"INFO","msg":"sender: closed","stream_id":"rc9olpt3"}
|
| 11 |
+
{"time":"2026-02-09T08:05:14.32050484Z","level":"INFO","msg":"stream: closed","id":"rc9olpt3"}
|
LlamaFactory/wandb/run-20260209_080305-rc9olpt3/logs/debug.log
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-02-09 08:03:05,270 INFO MainThread:1005 [wandb_setup.py:_flush():81] Current SDK version is 0.24.2
|
| 2 |
+
2026-02-09 08:03:05,270 INFO MainThread:1005 [wandb_setup.py:_flush():81] Configure stats pid to 1005
|
| 3 |
+
2026-02-09 08:03:05,271 INFO MainThread:1005 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-02-09 08:03:05,271 INFO MainThread:1005 [wandb_init.py:setup_run_log_directory():717] Logging user logs to /workspace/LlamaFactory/wandb/run-20260209_080305-rc9olpt3/logs/debug.log
|
| 5 |
+
2026-02-09 08:03:05,272 INFO MainThread:1005 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /workspace/LlamaFactory/wandb/run-20260209_080305-rc9olpt3/logs/debug-internal.log
|
| 6 |
+
2026-02-09 08:03:05,273 INFO MainThread:1005 [wandb_init.py:init():844] calling init triggers
|
| 7 |
+
2026-02-09 08:03:05,273 INFO MainThread:1005 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'_wandb': {}}
|
| 9 |
+
2026-02-09 08:03:05,274 INFO MainThread:1005 [wandb_init.py:init():892] starting backend
|
| 10 |
+
2026-02-09 08:03:05,483 INFO MainThread:1005 [wandb_init.py:init():895] sending inform_init request
|
| 11 |
+
2026-02-09 08:03:05,492 INFO MainThread:1005 [wandb_init.py:init():903] backend started and connected
|
| 12 |
+
2026-02-09 08:03:05,494 INFO MainThread:1005 [wandb_init.py:init():973] updated telemetry
|
| 13 |
+
2026-02-09 08:03:05,557 INFO MainThread:1005 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-02-09 08:03:06,212 INFO MainThread:1005 [wandb_init.py:init():1042] starting run threads in backend
|
| 15 |
+
2026-02-09 08:03:06,281 INFO MainThread:1005 [wandb_run.py:_console_start():2529] atexit reg
|
| 16 |
+
2026-02-09 08:03:06,282 INFO MainThread:1005 [wandb_run.py:_redirect():2377] redirect: wrap_raw
|
| 17 |
+
2026-02-09 08:03:06,282 INFO MainThread:1005 [wandb_run.py:_redirect():2446] Wrapping output streams.
|
| 18 |
+
2026-02-09 08:03:06,282 INFO MainThread:1005 [wandb_run.py:_redirect():2469] Redirects installed.
|
| 19 |
+
2026-02-09 08:03:06,285 INFO MainThread:1005 [wandb_init.py:init():1082] run started, returning control to user process
|
| 20 |
+
2026-02-09 08:03:06,286 INFO MainThread:1005 [wandb_run.py:_config_callback():1404] config_cb None None {'peft_config': {'default': {'task_type': 'CAUSAL_LM', 'peft_type': 'LORA', 'auto_mapping': None, 'peft_version': '0.18.1', 'base_model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': ['gate_proj', 'q_proj', 'k_proj', 'v_proj', 'down_proj', 'o_proj', 'up_proj'], 'exclude_modules': None, 'lora_alpha': 32, 'lora_dropout': 0.03, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'alora_invocation_tokens': None, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False, 'target_parameters': None, 'arrow_config': None, 'ensure_weight_tying': False}}, 'vocab_size': 151936, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 12288, 'num_hidden_layers': 36, 'num_attention_heads': 32, 'use_sliding_window': False, 'sliding_window': None, 'max_window_layers': 36, 'num_key_value_heads': 8, 'head_dim': 128, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'attention_bias': False, 'attention_dropout': 0.0, 'layer_types': ['full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention'], 'pad_token_id': 151643, 'bos_token_id': None, 'eos_token_id': 151645, 'tie_word_embeddings': False, 'rope_parameters': {'rope_theta': 1000000, 'rope_type': 'default'}, 'return_dict': True, 'output_hidden_states': False, 'dtype': 'bfloat16', 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'architectures': ['Qwen3ForCausalLM'], 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, '_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'transformers_version': '5.0.0', 'model_type': 'qwen3', 'output_attentions': False, 'output_dir': '/workspace/v127rc_exp2/B_dup', 'do_train': True, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 1, 'per_device_eval_batch_size': 8, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0, 'adam_beta1': 0.9, 'adam_beta2': 0.95, 'adam_epsilon': 1e-08, 'max_grad_norm': 1, 'num_train_epochs': 10, 'max_steps': -1, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': None, 'warmup_ratio': 0.01, 'warmup_steps': 0.01, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': None, 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 1000, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'use_cpu': False, 'seed': 42, 'data_seed': None, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': -1, 'ddp_backend': None, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': ['labels'], 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'auto_find_batch_size': False, 'full_determinism': False, 'ddp_timeout': 180000000, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_num_input_tokens_seen': 'all', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'sortish_sampler': False, 'predict_with_generate': False, 'generation_max_length': 2047, 'generation_num_beams': None, 'generation_config': None, 'ray_num_workers': 1, 'ray_init_kwargs': None, 'master_addr': None, 'master_port': None, 'fp8': False, 'fp8_backend': 'auto', 'fp8_enable_fsdp_float8_all_gather': False, 'overwrite_output_dir': False}
|
| 21 |
+
2026-02-09 08:03:06,292 INFO MainThread:1005 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 8234382336 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7dac31ac4550>>
|
| 22 |
+
2026-02-09 08:03:06,292 INFO MainThread:1005 [wandb_run.py:_config_callback():1404] config_cb model/num_parameters 8234382336 None
|
| 23 |
+
2026-02-09 08:03:06,295 INFO MainThread:1005 [wandb_run.py:_config_callback():1404] config_cb None None {'model_args': {'model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'adapter_name_or_path': None, 'adapter_folder': None, 'cache_dir': None, 'use_fast_tokenizer': True, 'resize_vocab': False, 'split_special_tokens': False, 'add_tokens': None, 'add_special_tokens': None, 'new_special_tokens_config': None, 'init_special_tokens': 'noise_init', 'model_revision': 'main', 'low_cpu_mem_usage': True, 'rope_scaling': None, 'flash_attn': 'auto', 'shift_attn': False, 'mixture_of_depths': None, 'use_unsloth': False, 'use_unsloth_gc': False, 'enable_liger_kernel': False, 'moe_aux_loss_coef': None, 'disable_gradient_checkpointing': False, 'use_reentrant_gc': True, 'upcast_layernorm': False, 'upcast_lmhead_output': False, 'train_from_scratch': False, 'infer_backend': 'HF', 'offload_folder': 'offload', 'use_kv_cache': True, 'use_v1_kernels': False, 'infer_dtype': 'auto', 'hf_hub_token': '<HF_HUB_TOKEN>', 'ms_hub_token': '<MS_HUB_TOKEN>', 'om_hub_token': '<OM_HUB_TOKEN>', 'print_param_status': False, 'trust_remote_code': True, 'quantization_method': 'BNB', 'quantization_bit': None, 'quantization_type': 'nf4', 'double_quantization': True, 'quantization_device_map': None, 'image_max_pixels': 589824, 'image_min_pixels': 1024, 'image_do_pan_and_scan': False, 'crop_to_patches': False, 'video_max_pixels': 65536, 'video_min_pixels': 256, 'video_fps': 2.0, 'video_maxlen': 128, 'use_audio_in_video': False, 'audio_sampling_rate': 16000, 'export_dir': None, 'export_size': 5, 'export_device': 'cpu', 'export_quantization_bit': None, 'export_quantization_dataset': None, 'export_quantization_nsamples': 128, 'export_quantization_maxlen': 1024, 'export_legacy_format': False, 'export_hub_model_id': None, 'use_kt': False, 'kt_optimize_rule': None, 'cpu_infer': 32, 'chunk_size': 8192, 'mode': 'normal', 'kt_maxlen': 4096, 'kt_use_cuda_graph': True, 'kt_mode': 'normal', 'kt_force_think': False, 'vllm_maxlen': 4096, 'vllm_gpu_util': 0.7, 'vllm_enforce_eager': False, 'vllm_max_lora_rank': 32, 'vllm_config': None, 'sglang_maxlen': 4096, 'sglang_mem_fraction': 0.7, 'sglang_tp_size': -1, 'sglang_config': None, 'sglang_lora_backend': 'triton', 'compute_dtype': 'torch.bfloat16', 'device_map': {'': 'cuda:0'}, 'model_max_length': 2047, 'block_diag_attn': False}, 'data_args': {'template': 'qwen3_nothink', 'dataset': ['Markie_Voss_t0_d34_r300'], 'eval_dataset': None, 'dataset_dir': '/workspace/LlamaFactory/data', 'media_dir': '/workspace/LlamaFactory/data', 'cutoff_len': 2047, 'train_on_prompt': False, 'mask_history': False, 'streaming': False, 'buffer_size': 16384, 'mix_strategy': 'concat', 'interleave_probs': None, 'overwrite_cache': False, 'preprocessing_batch_size': 1000, 'preprocessing_num_workers': 16, 'max_samples': 100000000, 'eval_num_beams': None, 'ignore_pad_token_for_loss': True, 'val_size': 0.0, 'eval_on_each_dataset': False, 'packing': True, 'neat_packing': False, 'tool_format': None, 'default_system': None, 'enable_thinking': False, 'tokenized_path': None, 'data_shared_file_system': False}, 'finetuning_args': {'freeze_trainable_layers': 2, 'freeze_trainable_modules': ['all'], 'freeze_extra_modules': None, 'additional_target': None, 'module_dropout': 0.0, 'oft_rank': 0, 'oft_block_size': 32, 'oft_target': ['all'], 'create_new_adapter': False, 'lora_alpha': 32, 'lora_dropout': 0.03, 'lora_rank': 16, 'lora_target': ['all'], 'loraplus_lr_ratio': None, 'loraplus_lr_embedding': 1e-06, 'use_rslora': False, 'use_dora': False, 'pissa_init': False, 'pissa_iter': 16, 'pissa_convert': False, 'pref_beta': 0.1, 'pref_ftx': 0.0, 'pref_bco_weight': 0.0, 'pref_loss': 'sigmoid', 'dpo_label_smoothing': 0.0, 'kto_chosen_weight': 1.0, 'kto_rejected_weight': 1.0, 'simpo_gamma': 0.5, 'ppo_buffer_size': 1, 'ppo_epochs': 4, 'ppo_score_norm': False, 'ppo_target': 6.0, 'ppo_whiten_rewards': False, 'ref_model': None, 'ref_model_adapters': None, 'ref_model_quantization_bit': None, 'reward_model': None, 'reward_model_adapters': None, 'reward_model_quantization_bit': None, 'reward_model_type': 'lora', 'ld_alpha': None, 'use_galore': False, 'galore_target': ['all'], 'galore_rank': 16, 'galore_update_interval': 200, 'galore_scale': 2.0, 'galore_proj_type': 'std', 'galore_layerwise': False, 'use_apollo': False, 'apollo_target': ['all'], 'apollo_rank': 16, 'apollo_update_interval': 200, 'apollo_scale': 32.0, 'apollo_proj': 'random', 'apollo_proj_type': 'std', 'apollo_scale_type': 'channel', 'apollo_layerwise': False, 'apollo_scale_front': False, 'use_badam': False, 'badam_mode': 'layer', 'badam_start_block': None, 'badam_switch_mode': 'ascending', 'badam_switch_interval': 50, 'badam_update_ratio': 0.05, 'badam_mask_mode': 'adjacent', 'badam_verbose': 0, 'use_swanlab': False, 'swanlab_project': 'llamafactory', 'swanlab_workspace': None, 'swanlab_run_name': None, 'swanlab_mode': 'cloud', 'swanlab_api_key': '<SWANLAB_API_KEY>', 'swanlab_logdir': None, 'swanlab_lark_webhook_url': None, 'swanlab_lark_secret': None, 'pure_bf16': False, 'stage': 'pt', 'finetuning_type': 'lora', 'use_llama_pro': False, 'use_adam_mini': False, 'use_mca': False, 'use_muon': False, 'use_dft_loss': False, 'use_eaft_loss': False, 'eaft_alpha': 1.0, 'freeze_vision_tower': True, 'freeze_multi_modal_projector': True, 'freeze_language_model': False, 'compute_accuracy': False, 'disable_shuffling': False, 'early_stopping_steps': None, 'plot_loss': True, 'include_effective_tokens_per_second': False}, 'generating_args': {'do_sample': True, 'temperature': 0.95, 'top_p': 0.7, 'top_k': 50, 'num_beams': 1, 'max_new_tokens': 1024, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'skip_special_tokens': True}}
|
| 24 |
+
2026-02-09 08:05:13,521 INFO wandb-AsyncioManager-main:1005 [service_client.py:_forward_responses():94] Reached EOF.
|
| 25 |
+
2026-02-09 08:05:13,521 INFO wandb-AsyncioManager-main:1005 [mailbox.py:close():154] Closing mailbox, abandoning 1 handles.
|
LlamaFactory/wandb/run-20260209_081117-18fi1m6s/files/output.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
LlamaFactory/wandb/run-20260209_081117-18fi1m6s/files/requirements.txt
ADDED
|
@@ -0,0 +1,257 @@
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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 |
+
pytz==2025.2
|
| 2 |
+
pydub==0.25.1
|
| 3 |
+
brotli==1.2.0
|
| 4 |
+
antlr4-python3-runtime==4.9.3
|
| 5 |
+
xxhash==3.6.0
|
| 6 |
+
websockets==15.0.1
|
| 7 |
+
tzdata==2025.3
|
| 8 |
+
typing_extensions==4.15.0
|
| 9 |
+
tqdm==4.67.3
|
| 10 |
+
tomlkit==0.13.3
|
| 11 |
+
termcolor==3.3.0
|
| 12 |
+
shtab==1.8.0
|
| 13 |
+
shellingham==1.5.4
|
| 14 |
+
sentencepiece==0.2.1
|
| 15 |
+
semantic-version==2.10.0
|
| 16 |
+
safetensors==0.7.0
|
| 17 |
+
ruff==0.15.0
|
| 18 |
+
regex==2026.1.15
|
| 19 |
+
python-multipart==0.0.22
|
| 20 |
+
pyparsing==3.3.2
|
| 21 |
+
pyarrow==23.0.0
|
| 22 |
+
protobuf==6.33.5
|
| 23 |
+
propcache==0.4.1
|
| 24 |
+
orjson==3.11.7
|
| 25 |
+
omegaconf==2.3.0
|
| 26 |
+
numpy==2.4.2
|
| 27 |
+
multidict==6.7.1
|
| 28 |
+
mdurl==0.1.2
|
| 29 |
+
kiwisolver==1.4.9
|
| 30 |
+
hf-xet==1.2.0
|
| 31 |
+
hf_transfer==0.1.9
|
| 32 |
+
groovy==0.1.2
|
| 33 |
+
frozenlist==1.8.0
|
| 34 |
+
fonttools==4.61.1
|
| 35 |
+
ffmpy==1.0.0
|
| 36 |
+
einops==0.8.2
|
| 37 |
+
docstring_parser==0.17.0
|
| 38 |
+
dill==0.3.8
|
| 39 |
+
cycler==0.12.1
|
| 40 |
+
click==8.3.1
|
| 41 |
+
av==16.0.0
|
| 42 |
+
annotated-types==0.7.0
|
| 43 |
+
annotated-doc==0.0.4
|
| 44 |
+
aiohappyeyeballs==2.6.1
|
| 45 |
+
aiofiles==24.1.0
|
| 46 |
+
yarl==1.22.0
|
| 47 |
+
uvicorn==0.40.0
|
| 48 |
+
typing-inspection==0.4.2
|
| 49 |
+
typer-slim==0.21.1
|
| 50 |
+
tiktoken==0.12.0
|
| 51 |
+
scipy==1.17.0
|
| 52 |
+
pydantic_core==2.41.4
|
| 53 |
+
pandas==2.3.3
|
| 54 |
+
multiprocess==0.70.16
|
| 55 |
+
modelscope==1.34.0
|
| 56 |
+
markdown-it-py==4.0.0
|
| 57 |
+
fire==0.7.1
|
| 58 |
+
contourpy==1.3.3
|
| 59 |
+
anyio==4.12.1
|
| 60 |
+
aiosignal==1.4.0
|
| 61 |
+
starlette==0.52.1
|
| 62 |
+
rich==14.3.2
|
| 63 |
+
pydantic==2.12.3
|
| 64 |
+
matplotlib==3.10.8
|
| 65 |
+
aiohttp==3.13.3
|
| 66 |
+
tyro==0.8.14
|
| 67 |
+
typer==0.21.1
|
| 68 |
+
torchdata==0.11.0
|
| 69 |
+
sse-starlette==3.2.0
|
| 70 |
+
safehttpx==0.1.7
|
| 71 |
+
huggingface_hub==1.4.1
|
| 72 |
+
fastapi==0.128.5
|
| 73 |
+
tokenizers==0.22.2
|
| 74 |
+
gradio_client==1.14.0
|
| 75 |
+
datasets==4.0.0
|
| 76 |
+
accelerate==1.11.0
|
| 77 |
+
transformers==5.0.0
|
| 78 |
+
gradio==5.50.0
|
| 79 |
+
trl==0.24.0
|
| 80 |
+
peft==0.18.1
|
| 81 |
+
llamafactory==0.9.5.dev0
|
| 82 |
+
jieba==0.42.1
|
| 83 |
+
rouge-chinese==1.0.3
|
| 84 |
+
joblib==1.5.3
|
| 85 |
+
nltk==3.9.2
|
| 86 |
+
py-cpuinfo==9.0.0
|
| 87 |
+
nvidia-ml-py==13.590.48
|
| 88 |
+
hjson==3.1.0
|
| 89 |
+
ninja==1.13.0
|
| 90 |
+
msgpack==1.1.2
|
| 91 |
+
deepspeed==0.16.9
|
| 92 |
+
smmap==5.0.2
|
| 93 |
+
sentry-sdk==2.52.0
|
| 94 |
+
gitdb==4.0.12
|
| 95 |
+
GitPython==3.1.46
|
| 96 |
+
wandb==0.24.2
|
| 97 |
+
entrypoints==0.4
|
| 98 |
+
jupyter_client==7.4.9
|
| 99 |
+
nbclassic==1.1.0
|
| 100 |
+
notebook==6.5.5
|
| 101 |
+
pyzmq==24.0.1
|
| 102 |
+
PyYAML==6.0.2
|
| 103 |
+
Send2Trash==1.8.3
|
| 104 |
+
argon2-cffi==23.1.0
|
| 105 |
+
argon2-cffi-bindings==21.2.0
|
| 106 |
+
arrow==1.3.0
|
| 107 |
+
asttokens==2.4.1
|
| 108 |
+
async-lru==2.0.4
|
| 109 |
+
attrs==24.2.0
|
| 110 |
+
babel==2.16.0
|
| 111 |
+
beautifulsoup4==4.12.3
|
| 112 |
+
bleach==6.1.0
|
| 113 |
+
certifi==2024.8.30
|
| 114 |
+
cffi==1.17.1
|
| 115 |
+
charset-normalizer==3.3.2
|
| 116 |
+
comm==0.2.2
|
| 117 |
+
debugpy==1.8.5
|
| 118 |
+
decorator==5.1.1
|
| 119 |
+
defusedxml==0.7.1
|
| 120 |
+
executing==2.1.0
|
| 121 |
+
fastjsonschema==2.20.0
|
| 122 |
+
fqdn==1.5.1
|
| 123 |
+
h11==0.14.0
|
| 124 |
+
httpcore==1.0.5
|
| 125 |
+
httpx==0.27.2
|
| 126 |
+
idna==3.10
|
| 127 |
+
ipykernel==6.29.5
|
| 128 |
+
ipython==8.27.0
|
| 129 |
+
ipython-genutils==0.2.0
|
| 130 |
+
ipywidgets==8.1.5
|
| 131 |
+
isoduration==20.11.0
|
| 132 |
+
jedi==0.19.1
|
| 133 |
+
json5==0.9.25
|
| 134 |
+
jsonpointer==3.0.0
|
| 135 |
+
jsonschema==4.23.0
|
| 136 |
+
jsonschema-specifications==2023.12.1
|
| 137 |
+
jupyter-archive==3.4.0
|
| 138 |
+
jupyter_contrib_core==0.4.2
|
| 139 |
+
jupyter_contrib_nbextensions==0.7.0
|
| 140 |
+
jupyter_core==5.7.2
|
| 141 |
+
jupyter-events==0.10.0
|
| 142 |
+
jupyter-highlight-selected-word==0.2.0
|
| 143 |
+
jupyter-lsp==2.2.5
|
| 144 |
+
jupyter_nbextensions_configurator==0.6.4
|
| 145 |
+
jupyter_server==2.14.2
|
| 146 |
+
jupyter_server_terminals==0.5.3
|
| 147 |
+
jupyterlab==4.2.5
|
| 148 |
+
jupyterlab_pygments==0.3.0
|
| 149 |
+
jupyterlab_server==2.27.3
|
| 150 |
+
jupyterlab_widgets==3.0.13
|
| 151 |
+
lxml==5.3.0
|
| 152 |
+
matplotlib-inline==0.1.7
|
| 153 |
+
mistune==3.0.2
|
| 154 |
+
nbclient==0.10.0
|
| 155 |
+
nbconvert==7.16.4
|
| 156 |
+
nbformat==5.10.4
|
| 157 |
+
nest-asyncio==1.6.0
|
| 158 |
+
notebook_shim==0.2.4
|
| 159 |
+
overrides==7.7.0
|
| 160 |
+
packaging==24.1
|
| 161 |
+
pandocfilters==1.5.1
|
| 162 |
+
parso==0.8.4
|
| 163 |
+
pexpect==4.9.0
|
| 164 |
+
platformdirs==4.3.6
|
| 165 |
+
prometheus_client==0.21.0
|
| 166 |
+
prompt_toolkit==3.0.47
|
| 167 |
+
psutil==6.0.0
|
| 168 |
+
ptyprocess==0.7.0
|
| 169 |
+
pure_eval==0.2.3
|
| 170 |
+
pycparser==2.22
|
| 171 |
+
Pygments==2.18.0
|
| 172 |
+
python-dateutil==2.9.0.post0
|
| 173 |
+
python-json-logger==2.0.7
|
| 174 |
+
referencing==0.35.1
|
| 175 |
+
requests==2.32.3
|
| 176 |
+
rfc3339-validator==0.1.4
|
| 177 |
+
rfc3986-validator==0.1.1
|
| 178 |
+
rpds-py==0.20.0
|
| 179 |
+
sniffio==1.3.1
|
| 180 |
+
soupsieve==2.6
|
| 181 |
+
stack-data==0.6.3
|
| 182 |
+
terminado==0.18.1
|
| 183 |
+
tinycss2==1.3.0
|
| 184 |
+
tornado==6.4.1
|
| 185 |
+
traitlets==5.14.3
|
| 186 |
+
types-python-dateutil==2.9.0.20240906
|
| 187 |
+
uri-template==1.3.0
|
| 188 |
+
urllib3==2.2.3
|
| 189 |
+
wcwidth==0.2.13
|
| 190 |
+
webcolors==24.8.0
|
| 191 |
+
webencodings==0.5.1
|
| 192 |
+
websocket-client==1.8.0
|
| 193 |
+
widgetsnbextension==4.0.13
|
| 194 |
+
Jinja2==3.1.3
|
| 195 |
+
MarkupSafe==2.1.5
|
| 196 |
+
filelock==3.13.1
|
| 197 |
+
fsspec==2024.2.0
|
| 198 |
+
mpmath==1.3.0
|
| 199 |
+
networkx==3.2.1
|
| 200 |
+
nvidia-cublas-cu12==12.4.2.65
|
| 201 |
+
nvidia-cuda-cupti-cu12==12.4.99
|
| 202 |
+
nvidia-cuda-nvrtc-cu12==12.4.99
|
| 203 |
+
nvidia-cuda-runtime-cu12==12.4.99
|
| 204 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 205 |
+
nvidia-cufft-cu12==11.2.0.44
|
| 206 |
+
nvidia-curand-cu12==10.3.5.119
|
| 207 |
+
nvidia-cusolver-cu12==11.6.0.99
|
| 208 |
+
nvidia-cusparse-cu12==12.3.0.142
|
| 209 |
+
nvidia-nccl-cu12==2.20.5
|
| 210 |
+
nvidia-nvjitlink-cu12==12.4.99
|
| 211 |
+
nvidia-nvtx-cu12==12.4.99
|
| 212 |
+
pillow==10.2.0
|
| 213 |
+
sympy==1.12
|
| 214 |
+
torch==2.4.1+cu124
|
| 215 |
+
torchaudio==2.4.1+cu124
|
| 216 |
+
torchvision==0.19.1+cu124
|
| 217 |
+
triton==3.0.0
|
| 218 |
+
pip==24.2
|
| 219 |
+
setuptools==75.1.0
|
| 220 |
+
wheel==0.44.0
|
| 221 |
+
PyGObject==3.42.1
|
| 222 |
+
PyJWT==2.3.0
|
| 223 |
+
SecretStorage==3.3.1
|
| 224 |
+
blinker==1.4
|
| 225 |
+
cryptography==3.4.8
|
| 226 |
+
dbus-python==1.2.18
|
| 227 |
+
distro==1.7.0
|
| 228 |
+
httplib2==0.20.2
|
| 229 |
+
importlib-metadata==4.6.4
|
| 230 |
+
jeepney==0.7.1
|
| 231 |
+
keyring==23.5.0
|
| 232 |
+
launchpadlib==1.10.16
|
| 233 |
+
lazr.restfulclient==0.14.4
|
| 234 |
+
lazr.uri==1.0.6
|
| 235 |
+
more-itertools==8.10.0
|
| 236 |
+
oauthlib==3.2.0
|
| 237 |
+
python-apt==2.4.0+ubuntu4
|
| 238 |
+
six==1.16.0
|
| 239 |
+
wadllib==1.3.6
|
| 240 |
+
zipp==1.0.0
|
| 241 |
+
autocommand==2.2.2
|
| 242 |
+
backports.tarfile==1.2.0
|
| 243 |
+
importlib_metadata==8.0.0
|
| 244 |
+
importlib_resources==6.4.0
|
| 245 |
+
inflect==7.3.1
|
| 246 |
+
jaraco.collections==5.1.0
|
| 247 |
+
jaraco.context==5.3.0
|
| 248 |
+
jaraco.functools==4.0.1
|
| 249 |
+
jaraco.text==3.12.1
|
| 250 |
+
more-itertools==10.3.0
|
| 251 |
+
packaging==24.1
|
| 252 |
+
platformdirs==4.2.2
|
| 253 |
+
tomli==2.0.1
|
| 254 |
+
typeguard==4.3.0
|
| 255 |
+
typing_extensions==4.12.2
|
| 256 |
+
wheel==0.43.0
|
| 257 |
+
zipp==3.19.2
|
LlamaFactory/wandb/run-20260209_081117-18fi1m6s/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-60-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.11.10",
|
| 4 |
+
"startedAt": "2026-02-09T08:11:17.633214Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"/workspace/v127rc_exp2/B_dup.yaml"
|
| 7 |
+
],
|
| 8 |
+
"program": "/usr/local/bin/llamafactory-cli",
|
| 9 |
+
"git": {
|
| 10 |
+
"remote": "https://github.com/hiyouga/LlamaFactory.git",
|
| 11 |
+
"commit": "1a02717fa84c270d1c156c4c4a391c2f95525a63"
|
| 12 |
+
},
|
| 13 |
+
"email": "markmochi200@gmail.com",
|
| 14 |
+
"root": "/workspace/LlamaFactory",
|
| 15 |
+
"host": "3bebe963f251",
|
| 16 |
+
"executable": "/usr/bin/python",
|
| 17 |
+
"cpu_count": 16,
|
| 18 |
+
"cpu_count_logical": 32,
|
| 19 |
+
"gpu": "NVIDIA GeForce RTX 4090",
|
| 20 |
+
"gpu_count": 1,
|
| 21 |
+
"disk": {
|
| 22 |
+
"/": {
|
| 23 |
+
"total": "21474836480",
|
| 24 |
+
"used": "2060402688"
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"memory": {
|
| 28 |
+
"total": "134156767232"
|
| 29 |
+
},
|
| 30 |
+
"gpu_nvidia": [
|
| 31 |
+
{
|
| 32 |
+
"name": "NVIDIA GeForce RTX 4090",
|
| 33 |
+
"memoryTotal": "25757220864",
|
| 34 |
+
"cudaCores": 16384,
|
| 35 |
+
"architecture": "Ada",
|
| 36 |
+
"uuid": "GPU-6c1e98c2-1b34-cfd8-5de5-319e272f1d1e"
|
| 37 |
+
}
|
| 38 |
+
],
|
| 39 |
+
"cudaVersion": "12.9",
|
| 40 |
+
"writerId": "cpeblcn9qsylpv3vdjtepn4bz3uf73py"
|
| 41 |
+
}
|
LlamaFactory/wandb/run-20260209_081117-18fi1m6s/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,11 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-02-09T08:11:17.885519267Z","level":"INFO","msg":"stream: starting","core version":"0.24.2"}
|
| 2 |
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{"time":"2026-02-09T08:11:18.191759306Z","level":"INFO","msg":"stream: created new stream","id":"18fi1m6s"}
|
| 3 |
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{"time":"2026-02-09T08:11:18.192322641Z","level":"INFO","msg":"handler: started","stream_id":"18fi1m6s"}
|
| 4 |
+
{"time":"2026-02-09T08:11:18.194262901Z","level":"INFO","msg":"stream: started","id":"18fi1m6s"}
|
| 5 |
+
{"time":"2026-02-09T08:11:18.194272128Z","level":"INFO","msg":"writer: started","stream_id":"18fi1m6s"}
|
| 6 |
+
{"time":"2026-02-09T08:11:18.194274833Z","level":"INFO","msg":"sender: started","stream_id":"18fi1m6s"}
|
| 7 |
+
{"time":"2026-02-09T08:34:15.201223367Z","level":"INFO","msg":"stream: closing","id":"18fi1m6s"}
|
| 8 |
+
{"time":"2026-02-09T08:34:16.252836477Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 9 |
+
{"time":"2026-02-09T08:34:16.482835888Z","level":"INFO","msg":"handler: closed","stream_id":"18fi1m6s"}
|
| 10 |
+
{"time":"2026-02-09T08:34:16.486903324Z","level":"INFO","msg":"sender: closed","stream_id":"18fi1m6s"}
|
| 11 |
+
{"time":"2026-02-09T08:34:16.487263633Z","level":"INFO","msg":"stream: closed","id":"18fi1m6s"}
|
LlamaFactory/wandb/run-20260209_081117-18fi1m6s/logs/debug.log
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-02-09 08:11:17,660 INFO MainThread:2068 [wandb_setup.py:_flush():81] Current SDK version is 0.24.2
|
| 2 |
+
2026-02-09 08:11:17,661 INFO MainThread:2068 [wandb_setup.py:_flush():81] Configure stats pid to 2068
|
| 3 |
+
2026-02-09 08:11:17,661 INFO MainThread:2068 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-02-09 08:11:17,662 INFO MainThread:2068 [wandb_init.py:setup_run_log_directory():717] Logging user logs to /workspace/LlamaFactory/wandb/run-20260209_081117-18fi1m6s/logs/debug.log
|
| 5 |
+
2026-02-09 08:11:17,662 INFO MainThread:2068 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /workspace/LlamaFactory/wandb/run-20260209_081117-18fi1m6s/logs/debug-internal.log
|
| 6 |
+
2026-02-09 08:11:17,663 INFO MainThread:2068 [wandb_init.py:init():844] calling init triggers
|
| 7 |
+
2026-02-09 08:11:17,663 INFO MainThread:2068 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'_wandb': {}}
|
| 9 |
+
2026-02-09 08:11:17,664 INFO MainThread:2068 [wandb_init.py:init():892] starting backend
|
| 10 |
+
2026-02-09 08:11:17,875 INFO MainThread:2068 [wandb_init.py:init():895] sending inform_init request
|
| 11 |
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2026-02-09 08:11:17,883 INFO MainThread:2068 [wandb_init.py:init():903] backend started and connected
|
| 12 |
+
2026-02-09 08:11:17,886 INFO MainThread:2068 [wandb_init.py:init():973] updated telemetry
|
| 13 |
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2026-02-09 08:11:17,958 INFO MainThread:2068 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-02-09 08:11:18,522 INFO MainThread:2068 [wandb_init.py:init():1042] starting run threads in backend
|
| 15 |
+
2026-02-09 08:11:18,591 INFO MainThread:2068 [wandb_run.py:_console_start():2529] atexit reg
|
| 16 |
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2026-02-09 08:11:18,591 INFO MainThread:2068 [wandb_run.py:_redirect():2377] redirect: wrap_raw
|
| 17 |
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2026-02-09 08:11:18,592 INFO MainThread:2068 [wandb_run.py:_redirect():2446] Wrapping output streams.
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| 18 |
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2026-02-09 08:11:18,592 INFO MainThread:2068 [wandb_run.py:_redirect():2469] Redirects installed.
|
| 19 |
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2026-02-09 08:11:18,594 INFO MainThread:2068 [wandb_init.py:init():1082] run started, returning control to user process
|
| 20 |
+
2026-02-09 08:11:18,595 INFO MainThread:2068 [wandb_run.py:_config_callback():1404] config_cb None None {'peft_config': {'default': {'task_type': 'CAUSAL_LM', 'peft_type': 'LORA', 'auto_mapping': None, 'peft_version': '0.18.1', 'base_model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': ['q_proj', 'v_proj', 'down_proj', 'up_proj', 'k_proj', 'gate_proj', 'o_proj'], 'exclude_modules': None, 'lora_alpha': 32, 'lora_dropout': 0.03, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'alora_invocation_tokens': None, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False, 'target_parameters': None, 'arrow_config': None, 'ensure_weight_tying': False}}, 'vocab_size': 151936, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 12288, 'num_hidden_layers': 36, 'num_attention_heads': 32, 'use_sliding_window': False, 'sliding_window': None, 'max_window_layers': 36, 'num_key_value_heads': 8, 'head_dim': 128, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'attention_bias': False, 'attention_dropout': 0.0, 'layer_types': ['full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention'], 'pad_token_id': 151643, 'bos_token_id': None, 'eos_token_id': 151645, 'tie_word_embeddings': False, 'rope_parameters': {'rope_theta': 1000000, 'rope_type': 'default'}, 'return_dict': True, 'output_hidden_states': False, 'dtype': 'bfloat16', 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'architectures': ['Qwen3ForCausalLM'], 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, '_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'transformers_version': '5.0.0', 'model_type': 'qwen3', 'output_attentions': False, 'output_dir': '/workspace/v127rc_exp2/B_dup', 'do_train': True, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 1, 'per_device_eval_batch_size': 8, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0, 'adam_beta1': 0.9, 'adam_beta2': 0.95, 'adam_epsilon': 1e-08, 'max_grad_norm': 1, 'num_train_epochs': 10, 'max_steps': -1, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': None, 'warmup_ratio': 0.01, 'warmup_steps': 0.01, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': None, 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 1000, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'use_cpu': False, 'seed': 42, 'data_seed': None, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': -1, 'ddp_backend': None, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': ['labels'], 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'auto_find_batch_size': False, 'full_determinism': False, 'ddp_timeout': 180000000, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_num_input_tokens_seen': 'all', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'sortish_sampler': False, 'predict_with_generate': False, 'generation_max_length': 2047, 'generation_num_beams': None, 'generation_config': None, 'ray_num_workers': 1, 'ray_init_kwargs': None, 'master_addr': None, 'master_port': None, 'fp8': False, 'fp8_backend': 'auto', 'fp8_enable_fsdp_float8_all_gather': False, 'overwrite_output_dir': False}
|
| 21 |
+
2026-02-09 08:11:18,601 INFO MainThread:2068 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 8234382336 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x78c6bc701e10>>
|
| 22 |
+
2026-02-09 08:11:18,605 INFO MainThread:2068 [wandb_run.py:_config_callback():1404] config_cb model/num_parameters 8234382336 None
|
| 23 |
+
2026-02-09 08:11:18,609 INFO MainThread:2068 [wandb_run.py:_config_callback():1404] config_cb None None {'model_args': {'model_name_or_path': '/workspace/Qwen/Qwen3-8B-Base', 'adapter_name_or_path': None, 'adapter_folder': None, 'cache_dir': None, 'use_fast_tokenizer': True, 'resize_vocab': False, 'split_special_tokens': False, 'add_tokens': None, 'add_special_tokens': None, 'new_special_tokens_config': None, 'init_special_tokens': 'noise_init', 'model_revision': 'main', 'low_cpu_mem_usage': True, 'rope_scaling': None, 'flash_attn': 'auto', 'shift_attn': False, 'mixture_of_depths': None, 'use_unsloth': False, 'use_unsloth_gc': False, 'enable_liger_kernel': False, 'moe_aux_loss_coef': None, 'disable_gradient_checkpointing': False, 'use_reentrant_gc': True, 'upcast_layernorm': False, 'upcast_lmhead_output': False, 'train_from_scratch': False, 'infer_backend': 'HF', 'offload_folder': 'offload', 'use_kv_cache': True, 'use_v1_kernels': False, 'infer_dtype': 'auto', 'hf_hub_token': '<HF_HUB_TOKEN>', 'ms_hub_token': '<MS_HUB_TOKEN>', 'om_hub_token': '<OM_HUB_TOKEN>', 'print_param_status': False, 'trust_remote_code': True, 'quantization_method': 'BNB', 'quantization_bit': None, 'quantization_type': 'nf4', 'double_quantization': True, 'quantization_device_map': None, 'image_max_pixels': 589824, 'image_min_pixels': 1024, 'image_do_pan_and_scan': False, 'crop_to_patches': False, 'video_max_pixels': 65536, 'video_min_pixels': 256, 'video_fps': 2.0, 'video_maxlen': 128, 'use_audio_in_video': False, 'audio_sampling_rate': 16000, 'export_dir': None, 'export_size': 5, 'export_device': 'cpu', 'export_quantization_bit': None, 'export_quantization_dataset': None, 'export_quantization_nsamples': 128, 'export_quantization_maxlen': 1024, 'export_legacy_format': False, 'export_hub_model_id': None, 'use_kt': False, 'kt_optimize_rule': None, 'cpu_infer': 32, 'chunk_size': 8192, 'mode': 'normal', 'kt_maxlen': 4096, 'kt_use_cuda_graph': True, 'kt_mode': 'normal', 'kt_force_think': False, 'vllm_maxlen': 4096, 'vllm_gpu_util': 0.7, 'vllm_enforce_eager': False, 'vllm_max_lora_rank': 32, 'vllm_config': None, 'sglang_maxlen': 4096, 'sglang_mem_fraction': 0.7, 'sglang_tp_size': -1, 'sglang_config': None, 'sglang_lora_backend': 'triton', 'compute_dtype': 'torch.bfloat16', 'device_map': {'': 'cuda:0'}, 'model_max_length': 2047, 'block_diag_attn': False}, 'data_args': {'template': 'qwen3_nothink', 'dataset': ['Markie_Voss_t0_d34_r300'], 'eval_dataset': None, 'dataset_dir': '/workspace/LlamaFactory/data', 'media_dir': '/workspace/LlamaFactory/data', 'cutoff_len': 2047, 'train_on_prompt': False, 'mask_history': False, 'streaming': False, 'buffer_size': 16384, 'mix_strategy': 'concat', 'interleave_probs': None, 'overwrite_cache': False, 'preprocessing_batch_size': 1000, 'preprocessing_num_workers': 16, 'max_samples': 100000000, 'eval_num_beams': None, 'ignore_pad_token_for_loss': True, 'val_size': 0.0, 'eval_on_each_dataset': False, 'packing': True, 'neat_packing': False, 'tool_format': None, 'default_system': None, 'enable_thinking': False, 'tokenized_path': None, 'data_shared_file_system': False}, 'finetuning_args': {'freeze_trainable_layers': 2, 'freeze_trainable_modules': ['all'], 'freeze_extra_modules': None, 'additional_target': None, 'module_dropout': 0.0, 'oft_rank': 0, 'oft_block_size': 32, 'oft_target': ['all'], 'create_new_adapter': False, 'lora_alpha': 32, 'lora_dropout': 0.03, 'lora_rank': 16, 'lora_target': ['all'], 'loraplus_lr_ratio': None, 'loraplus_lr_embedding': 1e-06, 'use_rslora': False, 'use_dora': False, 'pissa_init': False, 'pissa_iter': 16, 'pissa_convert': False, 'pref_beta': 0.1, 'pref_ftx': 0.0, 'pref_bco_weight': 0.0, 'pref_loss': 'sigmoid', 'dpo_label_smoothing': 0.0, 'kto_chosen_weight': 1.0, 'kto_rejected_weight': 1.0, 'simpo_gamma': 0.5, 'ppo_buffer_size': 1, 'ppo_epochs': 4, 'ppo_score_norm': False, 'ppo_target': 6.0, 'ppo_whiten_rewards': False, 'ref_model': None, 'ref_model_adapters': None, 'ref_model_quantization_bit': None, 'reward_model': None, 'reward_model_adapters': None, 'reward_model_quantization_bit': None, 'reward_model_type': 'lora', 'ld_alpha': None, 'use_galore': False, 'galore_target': ['all'], 'galore_rank': 16, 'galore_update_interval': 200, 'galore_scale': 2.0, 'galore_proj_type': 'std', 'galore_layerwise': False, 'use_apollo': False, 'apollo_target': ['all'], 'apollo_rank': 16, 'apollo_update_interval': 200, 'apollo_scale': 32.0, 'apollo_proj': 'random', 'apollo_proj_type': 'std', 'apollo_scale_type': 'channel', 'apollo_layerwise': False, 'apollo_scale_front': False, 'use_badam': False, 'badam_mode': 'layer', 'badam_start_block': None, 'badam_switch_mode': 'ascending', 'badam_switch_interval': 50, 'badam_update_ratio': 0.05, 'badam_mask_mode': 'adjacent', 'badam_verbose': 0, 'use_swanlab': False, 'swanlab_project': 'llamafactory', 'swanlab_workspace': None, 'swanlab_run_name': None, 'swanlab_mode': 'cloud', 'swanlab_api_key': '<SWANLAB_API_KEY>', 'swanlab_logdir': None, 'swanlab_lark_webhook_url': None, 'swanlab_lark_secret': None, 'pure_bf16': False, 'stage': 'pt', 'finetuning_type': 'lora', 'use_llama_pro': False, 'use_adam_mini': False, 'use_mca': False, 'use_muon': False, 'use_dft_loss': False, 'use_eaft_loss': False, 'eaft_alpha': 1.0, 'freeze_vision_tower': True, 'freeze_multi_modal_projector': True, 'freeze_language_model': False, 'compute_accuracy': False, 'disable_shuffling': False, 'early_stopping_steps': None, 'plot_loss': True, 'include_effective_tokens_per_second': False}, 'generating_args': {'do_sample': True, 'temperature': 0.95, 'top_p': 0.7, 'top_k': 50, 'num_beams': 1, 'max_new_tokens': 1024, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'skip_special_tokens': True}}
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2026-02-09 08:34:15,201 INFO wandb-AsyncioManager-main:2068 [service_client.py:_forward_responses():94] Reached EOF.
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2026-02-09 08:34:15,206 INFO wandb-AsyncioManager-main:2068 [mailbox.py:close():154] Closing mailbox, abandoning 1 handles.
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