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0
  0%| | 0/32 [00:00<?, ?it/s][2026-09-05 09:00:17,451] [INFO] [axolotl.kernels.autotune_telemetry.on_step_end:133] [PID:58343] Reported 2 fused-rope kernel autotune config(s) to telemetry.
 
1
  3%|▎ | 1/32 [00:25<13:19, 25.79s/it]
2
 
 
3
  3%|▎ | 1/32 [00:25<13:19, 25.79s/it]
4
  6%|▋ | 2/32 [00:45<11:11, 22.37s/it]
5
 
 
6
  6%|▋ | 2/32 [00:45<11:11, 22.37s/it]
7
  9%|▉ | 3/32 [01:06<10:22, 21.48s/it]
8
 
 
9
  9%|▉ | 3/32 [01:06<10:22, 21.48s/it]
10
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+ ],
512
+ "loraplus_lr_embedding": 1e-06,
513
+ "lr_scheduler": "cosine",
514
+ "max_grad_norm": 1.0,
515
+ "mean_resizing_embeddings": false,
516
+ "merge_method": "memory_efficient",
517
+ "micro_batch_size": 1,
518
+ "model_config_type": "gemma4",
519
+ "model_config_type_text": "gemma4_text",
520
+ "num_epochs": 4.0,
521
+ "num_generation_samples": 3,
522
+ "optimizer": "adamw_torch_fused",
523
+ "otel_metrics_host": "localhost",
524
+ "otel_metrics_port": 8000,
525
+ "output_dir": "/workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints",
526
+ "pad_to_sequence_len": false,
527
+ "plugins": [
528
+ "axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin",
529
+ "scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
530
+ ],
531
+ "pretrain_multipack_attn": true,
532
+ "processor_config": "/workspace/data/parents/mixed_4ep_prop",
533
+ "profiler_steps_start": 0,
534
+ "qgalore_cos_threshold": 0.4,
535
+ "qgalore_gamma_proj": 2,
536
+ "qgalore_proj_bits": 4,
537
+ "qgalore_proj_group_size": 256,
538
+ "qgalore_proj_quant": true,
539
+ "qgalore_proj_type": "std",
540
+ "qgalore_queue_size": 5,
541
+ "qgalore_rank": 256,
542
+ "qgalore_scale": 0.25,
543
+ "qgalore_update_proj_gap": 200,
544
+ "qlora_sharded_model_loading": false,
545
+ "quantize_moe_experts": false,
546
+ "ray_num_workers": 1,
547
+ "relora_prune_method": "magnitude",
548
+ "resources_per_worker": {
549
+ "GPU": 1
550
+ },
551
+ "sample_packing": false,
552
+ "sample_packing_bin_size": 200,
553
+ "sample_packing_group_size": 100000,
554
+ "save_only_model": true,
555
+ "save_safetensors": true,
556
+ "save_strategy": "no",
557
+ "save_total_limit": 1,
558
+ "seed": 424242,
559
+ "sequence_len": 4096,
560
+ "shuffle_before_merging_datasets": false,
561
+ "shuffle_merged_datasets": true,
562
+ "skip_prepare_dataset": false,
563
+ "streaming_multipack_buffer_size": 10000,
564
+ "strict": false,
565
+ "tensor_parallel_size": 1,
566
+ "tf32": true,
567
+ "tiled_mlp_use_original_mlp": true,
568
+ "tokenizer_config": "/workspace/data/parents/mixed_4ep_prop",
569
+ "tokenizer_save_jinja_files": true,
570
+ "torch_dtype": "torch.bfloat16",
571
+ "train_on_inputs": false,
572
+ "trl": {
573
+ "async_prefetch": false,
574
+ "log_completions": false,
575
+ "mask_truncated_completions": false,
576
+ "ref_model_mixup_alpha": 0.9,
577
+ "ref_model_sync_steps": 64,
578
+ "replay_buffer_size": 0,
579
+ "replay_recompute_logps": true,
580
+ "reroll_max_groups": 1,
581
+ "reroll_start_fraction": 1.0,
582
+ "reward_num_workers": 1,
583
+ "scale_rewards": true,
584
+ "skip_zero_advantage_batches": true,
585
+ "sync_ref_model": false,
586
+ "use_data_producer": false,
587
+ "use_vllm": false,
588
+ "vllm_lora_sync": false,
589
+ "vllm_server_host": "0.0.0.0",
590
+ "vllm_server_port": 8000
591
+ },
592
+ "trust_remote_code": false,
593
+ "use_otel_metrics": false,
594
+ "use_ray": false,
595
+ "val_set_size": 0.0,
596
+ "vllm": {
597
+ "device": "auto",
598
+ "dtype": "auto",
599
+ "gpu_memory_utilization": 0.9,
600
+ "host": "0.0.0.0",
601
+ "port": 8000
602
+ },
603
+ "warmup_ratio": 0.05,
604
+ "weight_decay": 0.01,
605
+ "world_size": 1
606
+ }
607
+ [2026-09-05 08:56:34,251] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:311] [PID:58343] EOS: 1 / <eos>
608
+ [2026-09-05 08:56:34,252] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:312] [PID:58343] BOS: 2 / <bos>
609
+ [2026-09-05 08:56:34,252] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:313] [PID:58343] PAD: 0 / <pad>
610
+ [2026-09-05 08:56:34,252] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:314] [PID:58343] UNK: 3 / <unk>
611
+ [2026-09-05 08:56:34,260] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:482] [PID:58343] Unable to find prepared dataset in /workspace/eft31b_runs/dose_rows_v2/rows256/train/prepared/63b4fc76e884db3d1cafc410de52b97c
612
+ [2026-09-05 08:56:34,260] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:58343] Loading raw datasets...
613
+ [2026-09-05 08:56:34,260] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:58343] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`.
614
+
615
+ [2026-09-05 08:56:34,795] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:58343] Loading dataset: /workspace/eft31b_runs/dose_rows_v2/rows256/eft_training.jsonl with base_type: chat_template and prompt_style: None
616
+ [2026-09-05 08:56:34,800] [INFO] [axolotl.prompt_strategies.chat_template.__call__:1209] [PID:58343] Using chat template:
617
+ ---
618
+ {{ bos_token }}
619
+ {%- if messages[0]['role'] == 'system' -%}
620
+ {%- if messages[0]['content'] is string -%}
621
+ {%- set first_user_prefix = messages[0]['content'] + '
622
+
623
+ ' -%}
624
+ {%- else -%}
625
+ {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
626
+
627
+ ' -%}
628
+ {%- endif -%}
629
+ {%- set loop_messages = messages[1:] -%}
630
+ {%- else -%}
631
+ {%- set first_user_prefix = "" -%}
632
+ {%- set loop_messages = messages -%}
633
+ {%- endif -%}
634
+ {%- for message in loop_messages -%}
635
+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
636
+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
637
+ {%- endif -%}
638
+ {%- if (message['role'] == 'assistant') -%}
639
+ {%- set role = "model" -%}
640
+ {%- else -%}
641
+ {%- set role = message['role'] -%}
642
+ {%- endif -%}
643
+ {{ '<|turn>' + role + '
644
+ ' + (first_user_prefix if loop.first else "") }}
645
+ {%- if message['content'] is string -%}
646
+ {{ message['content'] | trim }}
647
+ {%- elif message['content'] is iterable -%}
648
+ {%- for item in message['content'] -%}
649
+ {%- if item['type'] == 'image' -%}
650
+ {{ '<|image>' }}
651
+ {%- elif item['type'] == 'text' -%}
652
+ {{ item['text'] | trim }}
653
+ {%- endif -%}
654
+ {%- endfor -%}
655
+ {%- else -%}
656
+ {{ raise_exception("Invalid content type") }}
657
+ {%- endif -%}
658
+ {{ '<turn|>
659
+ ' }}
660
+ {%- endfor -%}
661
+ {%- if add_generation_prompt -%}
662
+ {{'<|turn>model
663
+ '}}
664
+ {%- endif -%}
665
+ ---
666
+
667
+ [2026-09-05 08:57:06,444] [INFO] [axolotl.utils.data.utils._log_dataset_stats:212] [PID:58343] min_input_len: 104
668
+ [2026-09-05 08:57:06,446] [INFO] [axolotl.utils.data.utils._log_dataset_stats:213] [PID:58343] max_input_len: 1764
669
+
670
+
671
+ [2026-09-05 08:57:40,288] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:420] [PID:58343] total_num_tokens: 164_297
672
+ [2026-09-05 08:57:40,296] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:438] [PID:58343] `total_supervised_tokens: 72_046`
673
+ [2026-09-05 08:57:40,296] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:521] [PID:58343] total_num_steps: 32
674
+ [2026-09-05 08:57:40,297] [INFO] [axolotl.utils.data.sft._prepare_standard_dataset:121] [PID:58343] Maximum number of steps set at 32
675
+ [2026-09-05 08:57:40,298] [DEBUG] [axolotl.train.setup_model_and_tokenizer:70] [PID:58343] loading tokenizer... /workspace/data/parents/mixed_4ep_prop
676
+ [2026-09-05 08:57:42,507] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:311] [PID:58343] EOS: 1 / <eos>
677
+ [2026-09-05 08:57:42,507] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:312] [PID:58343] BOS: 2 / <bos>
678
+ [2026-09-05 08:57:42,507] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:313] [PID:58343] PAD: 0 / <pad>
679
+ [2026-09-05 08:57:42,507] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:314] [PID:58343] UNK: 3 / <unk>
680
+ [2026-09-05 08:57:44,744] [DEBUG] [axolotl.train.setup_model_and_tokenizer:81] [PID:58343] Loading model
681
+ [2026-09-05 08:57:44,751] [DEBUG] [axolotl.monkeypatch.torchao_optim.patch_torchao_optim_state_8bit:75] [PID:58343] Patched OptimState8bit for torch.compile compatibility
682
+ [2026-09-05 08:57:44,751] [DEBUG] [axolotl.monkeypatch.torchao_optim.patch_torchao_optim_state_8bit:122] [PID:58343] Patched OptimState4bit for torch.compile compatibility
683
+ [2026-09-05 08:57:44,751] [DEBUG] [axolotl.monkeypatch.torchao_optim.patch_torchao_optim_state_8bit:154] [PID:58343] Patched OptimStateFp8 for torch.compile compatibility
684
+ [2026-09-05 08:57:44,761] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:94] [PID:58343] Patched Trainer.evaluation_loop with nanmean loss calculation
685
+ [2026-09-05 08:57:44,763] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:148] [PID:58343] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
686
+ [2026-09-05 08:57:44,942] [INFO] [axolotl.monkeypatch.attention.flash_attn_4.patch_flash_attn_4:52] [PID:58343] Flash Attention 4 is available for your GPU and offers faster training speeds. To enable: pip install flash-attn-4
687
+ [2026-09-05 08:57:45,357] [INFO] [axolotl.monkeypatch.models.gemma4.fused_attn.patch_gemma4_fused_attn:194] [PID:58343] Patched Gemma4TextAttention.forward with fused RMSNorm+RoPE Triton kernels
688
+ [2026-09-05 08:57:45,357] [INFO] [axolotl.monkeypatch.models.gemma4.fused_attn.patch_gemma4_fused_attn:198] [PID:58343] Installed Gemma4 shared_kv_states side channel (PR #3611)
689
+ [2026-09-05 08:57:45,422] [INFO] [axolotl.integrations.cut_cross_entropy.pre_model_load:94] [PID:58343] Applying Cut Cross Entropy to model type: gemma4
690
+
691
+ [2026-09-05 08:57:56,363] [INFO] [axolotl.monkeypatch.gemma4_hybrid_mask.patch_gemma4_hybrid_mask:94] [PID:58343] gemma4_hybrid_mask: patched modeling_gemma4.create_causal_mask to force SDPA-format masks for full-attention layers
692
+ [2026-09-05 08:57:56,365] [INFO] [axolotl.loaders.patch_manager._apply_gemma_hybrid_attention:243] [PID:58343] gemma4_hybrid_attn_impl: patched 10 global layers to use SDPA (remaining 50 sliding layers use flash_attention_2)
693
+ [2026-09-05 08:57:58,853] [INFO] [axolotl.loaders.model._configure_embedding_dtypes:433] [PID:58343] Converting modules to torch.bfloat16
694
+ [2026-09-05 08:58:00,666] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:58343] Memory usage after model load 0.000GB ()
695
+ trainable params: 489,717,760 || all params: 31,762,804,272 || trainable%: 1.5418
696
+ [2026-09-05 08:58:04,279] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:58343] after adapters 0.000GB ()
697
+ [2026-09-05 08:59:50,501] [INFO] [axolotl.train.save_initial_configs:450] [PID:58343] Pre-saving adapter config to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints...
698
+ [2026-09-05 08:59:50,506] [INFO] [axolotl.train.save_initial_configs:454] [PID:58343] Pre-saving tokenizer to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints...
699
+ [2026-09-05 08:59:50,841] [INFO] [axolotl.train.save_initial_configs:459] [PID:58343] Pre-saving model config to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints...
700
+ [2026-09-05 08:59:50,852] [INFO] [axolotl.train.save_initial_configs:463] [PID:58343] Pre-saving processor to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints...
701
+ [2026-09-05 08:59:51,156] [INFO] [axolotl.train.execute_training:226] [PID:58343] Starting trainer...
702
+
703
  0%| | 0/32 [00:00<?, ?it/s][2026-09-05 09:00:17,451] [INFO] [axolotl.kernels.autotune_telemetry.on_step_end:133] [PID:58343] Reported 2 fused-rope kernel autotune config(s) to telemetry.
704
+
705
  3%|▎ | 1/32 [00:25<13:19, 25.79s/it]
706
 
707
+
708
  3%|▎ | 1/32 [00:25<13:19, 25.79s/it]
709
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710
 
711
+
712
  6%|▋ | 2/32 [00:45<11:11, 22.37s/it]
713
  9%|▉ | 3/32 [01:06<10:22, 21.48s/it]
714
 
715
+
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  9%|▉ | 3/32 [01:06<10:22, 21.48s/it]
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  12%|█▎ | 4/32 [01:26<09:45, 20.89s/it]
718
 
719
+
720
  12%|█▎ | 4/32 [01:26<09:45, 20.89s/it]
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  16%|█▌ | 5/32 [01:46<09:13, 20.51s/it]
722
 
723
+
724
  16%|█▌ | 5/32 [01:46<09:13, 20.51s/it]
725
  19%|█▉ | 6/32 [02:05<08:45, 20.23s/it]
726
 
727
+
728
  19%|█▉ | 6/32 [02:05<08:45, 20.23s/it]
729
  22%|██▏ | 7/32 [02:25<08:20, 20.03s/it]
730
 
731
+
732
  22%|██▏ | 7/32 [02:25<08:20, 20.03s/it]
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  25%|██▌ | 8/32 [02:45<08:00, 20.02s/it]
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+
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  25%|██▌ | 8/32 [02:45<08:00, 20.02s/it]
737
  28%|██▊ | 9/32 [03:05<07:41, 20.07s/it]
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+
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  28%|██▊ | 9/32 [03:05<07:41, 20.07s/it]
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+
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  31%|███▏ | 10/32 [03:25<07:19, 19.95s/it]
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+
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  38%|███▊ | 12/32 [04:03<06:33, 19.66s/it]
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  41%|████ | 13/32 [04:23<06:10, 19.48s/it]
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+
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  41%|████ | 13/32 [04:23<06:10, 19.48s/it]
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  44%|████▍ | 14/32 [04:42<05:51, 19.55s/it]
758
 
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+
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  44%|████▍ | 14/32 [04:42<05:51, 19.55s/it]
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  47%|████▋ | 15/32 [05:01<05:30, 19.44s/it]
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+
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  47%|████▋ | 15/32 [05:01<05:30, 19.44s/it]
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  50%|█████ | 16/32 [05:21<05:12, 19.55s/it]
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+
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  50%|███���█ | 16/32 [05:21<05:12, 19.55s/it]
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  53%|█████▎ | 17/32 [05:41<04:55, 19.70s/it]
770
 
771
+
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  53%|█████▎ | 17/32 [05:41<04:55, 19.70s/it]
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  56%|█████▋ | 18/32 [06:01<04:35, 19.70s/it]
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+
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  56%|█████▋ | 18/32 [06:01<04:35, 19.70s/it]
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  59%|█████▉ | 19/32 [06:20<04:14, 19.58s/it]
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+
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  59%|█████▉ | 19/32 [06:20<04:14, 19.58s/it]
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  62%|██████▎ | 20/32 [06:40<03:54, 19.55s/it]
782
 
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+
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  62%|██████▎ | 20/32 [06:40<03:54, 19.55s/it]
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  66%|██████▌ | 21/32 [06:59<03:33, 19.45s/it]
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+
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  66%|██████▌ | 21/32 [06:59<03:33, 19.45s/it]
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790
 
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+
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  69%|██████▉ | 22/32 [07:19<03:16, 19.69s/it]
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  72%|███████▏ | 23/32 [07:39<02:56, 19.62s/it]
794
 
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+
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  72%|███████▏ | 23/32 [07:39<02:56, 19.62s/it]
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  75%|███████▌ | 24/32 [07:58<02:35, 19.47s/it]
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+
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802
 
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+
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  78%|███████▊ | 25/32 [08:18<02:18, 19.73s/it]
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+
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  81%|████████▏ | 26/32 [08:37<01:57, 19.61s/it]
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+
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  88%|████████▊ | 28/32 [09:18<01:19, 19.81s/it]
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+
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  88%|████████▊ | 28/32 [09:18<01:19, 19.81s/it]
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+
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  91%|█████████ | 29/32 [09:37<00:58, 19.59s/it]
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  94%|█████████▍| 30/32 [09:56<00:39, 19.57s/it]
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+
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  94%|█████████▍| 30/32 [09:56<00:39, 19.57s/it]
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+
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  97%|█████████▋| 31/32 [10:15<00:19, 19.51s/it]
829
 
830
+
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+
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833
+
834
+ [2026-09-05 09:10:32,109] [INFO] [axolotl.train.save_trained_model:267] [PID:58343] Training completed! Saving trained model to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints.
835
+ [2026-09-05 09:10:36,110] [INFO] [axolotl.train.save_trained_model:388] [PID:58343] Model successfully saved to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints
runs/dose_rows_v2/arms/rows256/adapter/processor_config.json ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "audio_ms_per_token": 40,
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+ "audio_seq_length": 750,
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+ "feature_extractor": {
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+ "dither": 0.0,
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+ "feature_extractor_type": "Gemma4AudioFeatureExtractor",
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+ "feature_size": 128,
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+ "fft_length": 512,
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+ "fft_overdrive": false,
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+ "frame_length": 320,
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+ "hop_length": 160,
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+ "input_scale_factor": 1.0,
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+ "max_frequency": 8000.0,
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+ "return_attention_mask": true,
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+ "sampling_rate": 16000
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+ },
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+ "image_processor": {
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+ "do_convert_rgb": true,
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+ "do_normalize": false,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ ],
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+ "image_processor_type": "Gemma4ImageProcessor",
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+ "image_seq_length": 280,
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+ ],
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+ "max_soft_tokens": 280,
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+ "patch_size": 16,
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+ "rescale_factor": 0.00392156862745098
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+ },
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+ "processor_class": "Gemma4Processor",
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+ "video_processor": {
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+ "do_convert_rgb": true,
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+ "do_normalize": true,
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+ "do_sample_frames": true,
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+ "image_mean": [
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+ ],
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+ "max_soft_tokens": 70,
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+ "num_frames": 32,
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+ "pooling_kernel_size": 3,
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+ "resample": 3,
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+ "rescale_factor": 0.00392156862745098,
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+ "return_metadata": false,
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+ "video_processor_type": "Gemma4VideoProcessor"
74
+ }
75
+ }
runs/dose_rows_v2/arms/rows256/adapter/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:12bac982b793c44b03d52a250a9f0d0b666813da566b910c24a6da0695fd11e6
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+ size 32170070
runs/dose_rows_v2/arms/rows256/adapter/tokenizer_config.json ADDED
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1
+ {
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+ "audio_token": "<|audio|>",
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+ "backend": "tokenizers",
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+ "boa_token": "<|audio>",
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+ "boi_token": "<|image>",
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+ "bos_token": "<bos>",
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+ "eoa_token": "<audio|>",
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+ "eoc_token": "<channel|>",
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+ "eoi_token": "<image|>",
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+ "eos_token": "<eos>",
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+ "eot_token": "<turn|>",
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+ "etc_token": "<tool_call|>",
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+ "etd_token": "<tool|>",
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+ "extra_special_tokens": [
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+ "<|video|>"
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+ ],
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+ "image_token": "<|image|>",
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+ "is_local": true,
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+ "local_files_only": false,
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+ "mask_token": "<mask>",
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+ "model_specific_special_tokens": {
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+ "audio_token": "<|audio|>",
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+ "boa_token": "<|audio>",
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+ "boi_token": "<|image>",
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+ "eoa_token": "<audio|>",
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+ "eoc_token": "<channel|>",
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+ "eot_token": "<turn|>",
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+ "escape_token": "<|\"|>",
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+ "etc_token": "<tool_call|>",
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+ "etd_token": "<tool|>",
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+ "etr_token": "<tool_response|>",
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+ "image_token": "<|image|>",
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+ "soc_token": "<|channel>",
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+ "stc_token": "<|tool_call>",
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+ "std_token": "<|tool>",
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+ "str_token": "<|tool_response>",
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+ "think_token": "<|think|>"
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+ },
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+ "pad_token": "<pad>",
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+ "padding_side": "left",
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+ "processor_class": "Gemma4Processor",
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+ "soc_token": "<|channel>",
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+ "sot_token": "<|turn>",
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+ "stc_token": "<|tool_call>",
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+ "std_token": "<|tool>",
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+ "str_token": "<|tool_response>",
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+ "think_token": "<|think|>",
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+ "tokenizer_class": "GemmaTokenizer",
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+ "unk_token": "<unk>"
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+ }