=== [Sat May 23 21:41:30 UTC 2026] adapter_v2 resume train (500 steps, seq=2048) ===
[transformers] `torch_dtype` is deprecated! Use `dtype` instead!
The fast path is not available because on of `(selective_state_update, causal_conv1d_fn, causal_conv1d_update)` is None. Falling back to the naive implementation. To install follow https://github.com/state-spaces/mamba/#installation and https://github.com/Dao-AILab/causal-conv1d
=== TrainConfig ===
  base_model: /home/lakesenberg/models/nemotron-3-nano-30b-a3b-bf16
  data_path: /home/lakesenberg/nemotron_lora_work/cot.jsonl
  out_dir: /home/lakesenberg/nemotron_lora_work/adapter_v2
  lora_rank: 32
  lora_alpha: 32
  lora_dropout: 0.0
  target_modules: ('q_proj', 'k_proj', 'v_proj', 'o_proj', 'gate_proj', 'up_proj', 'down_proj', 'x_proj', 'in_proj', 'out_proj', 'dt_proj', 'experts.w1', 'experts.w2')
  lr: 5e-05
  weight_decay: 0.0
  betas: (0.9, 0.95)
  max_grad_norm: 1.0
  warmup_steps: 50
  total_steps: 500
  grad_accum: 4
  batch_size: 1
  seq_len: 2048
  save_every: 100
  log_every: 10
  seed: 0
  bf16: True
  use_flash_attn: False
  gradient_checkpointing: True
  resume_adapter: /home/lakesenberg/nemotron_lora_work/adapter/final
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/home/lakesenberg/miniforge3/envs/nemo/lib/python3.11/site-packages/peft/peft_model.py:638: UserWarning: Found missing adapter keys while loading the checkpoint: ['base_model.model.backbone.layers.1.mixer.experts.0.down_proj.lora_A.default.weight', 'base_model.model.backbone.layers.1.mixer.experts.0.down_proj.lora_B.default.weight', 'base_model.model.backbone.layers.1.mixer.experts.1.down_proj.lora_A.default.weight', 'base_model.model.backbone.layers.1.mixer.experts.1.down_proj.lora_B.default.weight', 'base_model.model.backbone.layers.1.mixer.experts.2.down_proj.lora_A.default.weight', 'base_model.model.backbone.layers.1.mixer.experts.2.down_proj.lora_B.default.weight', 'base_model.model.backbone.layers.1.mixer.experts.3.down_proj.lora_A.default.weight', 'base_model.model.backbone.layers.1.mixer.experts.3.down_proj.lora_B.default.weight', 'base_model.model.backbone.layers.1.mixer.experts.4.down_proj.lora_A.default.weight', 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'base_model.model.backbone.layers.51.mixer.experts.125.down_proj.lora_B.default.weight', 'base_model.model.backbone.layers.51.mixer.experts.126.down_proj.lora_A.default.weight', 'base_model.model.backbone.layers.51.mixer.experts.126.down_proj.lora_B.default.weight', 'base_model.model.backbone.layers.51.mixer.experts.127.down_proj.lora_A.default.weight', 'base_model.model.backbone.layers.51.mixer.experts.127.down_proj.lora_B.default.weight'].
  warnings.warn(warn_message)
Resuming adapter from /home/lakesenberg/nemotron_lora_work/adapter/final
trainable params: 883,873,792 || all params: 32,461,811,136 || trainable%: 2.7228
[transformers] `use_return_dict` is deprecated! Use `return_dict` instead!
step    10/500 loss=0.0006 ema=0.0035 lr=1.00e-05 mem=69.0/86.8 GiB
step    20/500 loss=0.0001 ema=0.0021 lr=2.00e-05 mem=68.9/86.8 GiB
step    30/500 loss=0.0000 ema=0.0015 lr=3.00e-05 mem=68.8/86.8 GiB
step    40/500 loss=0.0000 ema=0.0009 lr=4.00e-05 mem=68.9/86.8 GiB
step    50/500 loss=0.0000 ema=0.0005 lr=5.00e-05 mem=68.8/86.8 GiB
step    60/500 loss=0.0000 ema=0.0007 lr=4.99e-05 mem=68.9/86.8 GiB
step    70/500 loss=0.0000 ema=0.0013 lr=4.98e-05 mem=69.0/86.8 GiB
step    80/500 loss=0.0036 ema=0.0012 lr=4.95e-05 mem=68.9/86.8 GiB
step    90/500 loss=0.0000 ema=0.0006 lr=4.90e-05 mem=68.8/86.8 GiB
step   100/500 loss=0.0009 ema=0.0009 lr=4.85e-05 mem=68.9/86.8 GiB
saved checkpoint -> /home/lakesenberg/nemotron_lora_work/adapter_v2/step-00100
step   110/500 loss=0.0013 ema=0.0011 lr=4.78e-05 mem=69.1/86.8 GiB
step   120/500 loss=0.0000 ema=0.0009 lr=4.71e-05 mem=69.1/86.8 GiB
step   130/500 loss=0.0000 ema=0.0009 lr=4.62e-05 mem=68.8/86.8 GiB
step   140/500 loss=0.0000 ema=0.0005 lr=4.52e-05 mem=69.0/86.8 GiB
step   150/500 loss=0.0000 ema=0.0009 lr=4.42e-05 mem=68.9/86.8 GiB
step   160/500 loss=0.0000 ema=0.0009 lr=4.30e-05 mem=68.9/86.8 GiB
step   170/500 loss=0.0000 ema=0.0009 lr=4.17e-05 mem=68.8/86.8 GiB
step   180/500 loss=0.0000 ema=0.0005 lr=4.04e-05 mem=68.8/86.8 GiB
step   190/500 loss=0.0015 ema=0.0012 lr=3.90e-05 mem=69.1/86.8 GiB
step   200/500 loss=0.0000 ema=0.0010 lr=3.75e-05 mem=68.8/86.8 GiB
saved checkpoint -> /home/lakesenberg/nemotron_lora_work/adapter_v2/step-00200
step   210/500 loss=0.0000 ema=0.0010 lr=3.60e-05 mem=69.1/86.8 GiB
step   220/500 loss=0.0000 ema=0.0005 lr=3.44e-05 mem=68.8/86.8 GiB
step   230/500 loss=0.0000 ema=0.0005 lr=3.27e-05 mem=68.8/86.8 GiB
step   240/500 loss=0.0000 ema=0.0002 lr=3.10e-05 mem=68.9/86.8 GiB
step   250/500 loss=0.0000 ema=0.0004 lr=2.93e-05 mem=69.0/86.8 GiB
step   260/500 loss=0.0000 ema=0.0004 lr=2.76e-05 mem=68.8/86.8 GiB
step   270/500 loss=0.0000 ema=0.0009 lr=2.59e-05 mem=69.0/86.8 GiB
step   280/500 loss=0.0000 ema=0.0008 lr=2.41e-05 mem=69.0/86.8 GiB
step   290/500 loss=0.0007 ema=0.0009 lr=2.24e-05 mem=69.1/86.8 GiB
step   300/500 loss=0.0000 ema=0.0004 lr=2.07e-05 mem=68.8/86.8 GiB
saved checkpoint -> /home/lakesenberg/nemotron_lora_work/adapter_v2/step-00300
step   310/500 loss=0.0010 ema=0.0009 lr=1.90e-05 mem=69.5/86.8 GiB
step   320/500 loss=0.0000 ema=0.0005 lr=1.73e-05 mem=68.8/86.8 GiB
step   330/500 loss=0.0000 ema=0.0003 lr=1.56e-05 mem=69.0/86.8 GiB
step   340/500 loss=0.0000 ema=0.0003 lr=1.40e-05 mem=68.8/86.8 GiB
step   350/500 loss=0.0001 ema=0.0006 lr=1.25e-05 mem=69.0/86.8 GiB
step   360/500 loss=0.0018 ema=0.0005 lr=1.10e-05 mem=68.8/86.8 GiB
step   370/500 loss=0.0000 ema=0.0007 lr=9.61e-06 mem=68.9/86.8 GiB
step   380/500 loss=0.0005 ema=0.0004 lr=8.27e-06 mem=68.8/86.8 GiB
step   390/500 loss=0.0000 ema=0.0005 lr=7.02e-06 mem=69.1/86.8 GiB
step   400/500 loss=0.0000 ema=0.0004 lr=5.85e-06 mem=69.0/86.8 GiB
saved checkpoint -> /home/lakesenberg/nemotron_lora_work/adapter_v2/step-00400
step   410/500 loss=0.0045 ema=0.0008 lr=4.77e-06 mem=69.6/86.8 GiB
step   420/500 loss=0.0014 ema=0.0012 lr=3.80e-06 mem=68.8/86.8 GiB
step   430/500 loss=0.0000 ema=0.0005 lr=2.93e-06 mem=69.0/86.8 GiB
step   440/500 loss=0.0000 ema=0.0004 lr=2.16e-06 mem=68.9/86.8 GiB
step   450/500 loss=0.0000 ema=0.0003 lr=1.51e-06 mem=68.9/86.8 GiB
step   460/500 loss=0.0008 ema=0.0004 lr=9.68e-07 mem=69.0/86.8 GiB
step   470/500 loss=0.0000 ema=0.0006 lr=5.46e-07 mem=68.9/86.8 GiB
step   480/500 loss=0.0000 ema=0.0005 lr=2.43e-07 mem=68.9/86.8 GiB
step   490/500 loss=0.0000 ema=0.0004 lr=6.09e-08 mem=68.8/86.8 GiB
step   500/500 loss=0.0020 ema=0.0008 lr=0.00e+00 mem=69.1/86.8 GiB
saved checkpoint -> /home/lakesenberg/nemotron_lora_work/adapter_v2/step-00500
DONE.  final adapter -> /home/lakesenberg/nemotron_lora_work/adapter_v2/final
=== [Sun May 24 01:02:23 UTC 2026] DONE adapter_v2 -> ~/nemotron_lora_work/adapter_v2/final ===