| [2025-10-22 10:50:22,584] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:2355] baseline 0.000GB () | |
| [2025-10-22 10:50:22,584] [INFO] [axolotl.cli.config.load_cfg:248] [PID:2355] config: | |
| { | |
| "activation_offloading": false, | |
| "adapter": "qlora", | |
| "axolotl_config_path": "config.yaml", | |
| "base_model": "Qwen/Qwen2.5-VL-7B-Instruct", | |
| "base_model_config": "Qwen/Qwen2.5-VL-7B-Instruct", | |
| "batch_size": 8, | |
| "bf16": true, | |
| "capabilities": { | |
| "bf16": true, | |
| "compute_capability": "sm_90", | |
| "fp8": false, | |
| "n_gpu": 1, | |
| "n_node": 1 | |
| }, | |
| "context_parallel_size": 1, | |
| "dataloader_num_workers": 1, | |
| "dataloader_pin_memory": true, | |
| "dataloader_prefetch_factor": 256, | |
| "dataset_processes": 20, | |
| "datasets": [ | |
| { | |
| "message_property_mappings": { | |
| "content": "content", | |
| "role": "role" | |
| }, | |
| "path": "/workspace/fine-tuning/data/data.json", | |
| "trust_remote_code": false, | |
| "type": "vl" | |
| } | |
| ], | |
| "ddp": false, | |
| "device": "cuda:0", | |
| "dion_rank_fraction": 1.0, | |
| "dion_rank_multiple_of": 1, | |
| "env_capabilities": { | |
| "torch_version": "2.7.1" | |
| }, | |
| "eval_batch_size": 1, | |
| "eval_causal_lm_metrics": [ | |
| "sacrebleu", | |
| "comet", | |
| "ter", | |
| "chrf" | |
| ], | |
| "eval_max_new_tokens": 128, | |
| "eval_table_size": 0, | |
| "experimental_skip_move_to_device": true, | |
| "flash_attention": true, | |
| "fp16": false, | |
| "gradient_accumulation_steps": 8, | |
| "gradient_checkpointing": true, | |
| "gradient_checkpointing_kwargs": { | |
| "use_reentrant": true | |
| }, | |
| "include_tkps": true, | |
| "is_multimodal": true, | |
| "learning_rate": 0.0002, | |
| "lisa_layers_attribute": "model.layers", | |
| "load_best_model_at_end": false, | |
| "load_in_4bit": true, | |
| "load_in_8bit": false, | |
| "local_rank": 0, | |
| "lora_alpha": 16, | |
| "lora_dropout": 0.05, | |
| "lora_r": 64, | |
| "lora_target_modules": [ | |
| "q_proj", | |
| "v_proj", | |
| "k_proj", | |
| "o_proj", | |
| "gate_proj", | |
| "down_proj", | |
| "up_proj", | |
| "lm_head", | |
| "vision_tower" | |
| ], | |
| "loraplus_lr_embedding": 1e-06, | |
| "lr_scheduler": "cosine", | |
| "mean_resizing_embeddings": false, | |
| "micro_batch_size": 1, | |
| "model_config_type": "qwen2_5_vl", | |
| "num_epochs": 3.0, | |
| "optimizer": "paged_adamw_32bit", | |
| "output_dir": "/workspace/fine-tuning/output/mymodel", | |
| "pretrain_multipack_attn": true, | |
| "processor_config": "Qwen/Qwen2.5-VL-7B-Instruct", | |
| "profiler_steps_start": 0, | |
| "qlora_sharded_model_loading": false, | |
| "ray_num_workers": 1, | |
| "resources_per_worker": { | |
| "GPU": 1 | |
| }, | |
| "sample_packing_bin_size": 200, | |
| "sample_packing_group_size": 100000, | |
| "save_only_model": false, | |
| "save_safetensors": true, | |
| "save_steps": 200, | |
| "save_total_limit": 3, | |
| "sequence_len": 2048, | |
| "shuffle_before_merging_datasets": false, | |
| "shuffle_merged_datasets": true, | |
| "skip_prepare_dataset": false, | |
| "streaming_multipack_buffer_size": 10000, | |
| "strict": false, | |
| "tensor_parallel_size": 1, | |
| "tiled_mlp_use_original_mlp": true, | |
| "tokenizer_config": "Qwen/Qwen2.5-VL-7B-Instruct", | |
| "tokenizer_save_jinja_files": true, | |
| "torch_compile": false, | |
| "torch_dtype": "torch.bfloat16", | |
| "train_on_inputs": false, | |
| "trl": { | |
| "log_completions": false, | |
| "mask_truncated_completions": false, | |
| "ref_model_mixup_alpha": 0.9, | |
| "ref_model_sync_steps": 64, | |
| "scale_rewards": true, | |
| "sync_ref_model": false, | |
| "use_vllm": false, | |
| "vllm_server_host": "0.0.0.0", | |
| "vllm_server_port": 8000 | |
| }, | |
| "trust_remote_code": true, | |
| "use_ray": false, | |
| "val_set_size": 0.0, | |
| "vllm": { | |
| "device": "auto", | |
| "dtype": "auto", | |
| "gpu_memory_utilization": 0.9, | |
| "host": "0.0.0.0", | |
| "port": 8000 | |
| }, | |
| "weight_decay": 0.0, | |
| "world_size": 1 | |
| } | |
| [2025-10-22 10:50:23,548] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:278] [PID:2355] EOS: 151645 / <|im_end|> | |
| [2025-10-22 10:50:23,548] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:279] [PID:2355] BOS: None / None | |
| [2025-10-22 10:50:23,548] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:2355] PAD: 151643 / <|endoftext|> | |
| [2025-10-22 10:50:23,548] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:2355] UNK: None / None | |
| [2025-10-22 10:50:23,549] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:476] [PID:2355] Unable to find prepared dataset in last_run_prepared/b27c6ba83f346393518eaef14d5ae408 | |
| [2025-10-22 10:50:23,549] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:2355] Loading raw datasets... | |
| [2025-10-22 10:50:23,549] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:2355] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`. | |
| [2025-10-22 10:50:23,988] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:2355] Loading dataset: /workspace/fine-tuning/data/data.json with base_type: vl and prompt_style: None | |
| [2025-10-22 10:50:23,989] [ERROR] [axolotl.utils.data.wrappers.handle_unknown_dataset_strategy:53] [PID:2355] unhandled prompt tokenization strategy: vl. | |
| Traceback (most recent call last): | |
| File "<frozen runpy>", line 198, in _run_module_as_main | |
| File "<frozen runpy>", line 88, in _run_code | |
| File "/workspace/axolotl/src/axolotl/cli/train.py", line 121, in <module> | |
| fire.Fire(do_cli) | |
| File "/root/miniconda3/envs/py3.11/lib/python3.11/site-packages/fire/core.py", line 135, in Fire | |
| component_trace = _Fire(component, args, parsed_flag_args, context, name) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/root/miniconda3/envs/py3.11/lib/python3.11/site-packages/fire/core.py", line 468, in _Fire | |
| component, remaining_args = _CallAndUpdateTrace( | |
| ^^^^^^^^^^^^^^^^^^^^ | |
| File "/root/miniconda3/envs/py3.11/lib/python3.11/site-packages/fire/core.py", line 684, in _CallAndUpdateTrace | |
| component = fn(*varargs, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/cli/train.py", line 88, in do_cli | |
| return do_train(parsed_cfg, parsed_cli_args) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/cli/train.py", line 43, in do_train | |
| dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/common/datasets.py", line 59, in load_datasets | |
| train_dataset, eval_dataset, total_num_steps, prompters = prepare_datasets( | |
| ^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/utils.py", line 50, in wrapper | |
| return func(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/sft.py", line 65, in prepare_datasets | |
| return _prepare_standard_dataset(cfg, tokenizer, processor) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/sft.py", line 98, in _prepare_standard_dataset | |
| train_dataset, eval_dataset, prompters = loader.load(_load_datasets) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/lock.py", line 38, in load | |
| result = load_fn() | |
| ^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/sft.py", line 77, in _load_datasets | |
| train_dataset, eval_dataset, prompters = _load_and_prepare_datasets( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/sft.py", line 503, in _load_and_prepare_datasets | |
| dataset, prompters = _load_tokenized_prepared_datasets( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/sft.py", line 299, in _load_tokenized_prepared_datasets | |
| dataset, prompters = _load_raw_datasets( | |
| ^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/sft.py", line 331, in _load_raw_datasets | |
| dataset_wrapper, dataset_prompter = _load_and_process_single_dataset( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/sft.py", line 401, in _load_and_process_single_dataset | |
| dataset_wrapper, dataset_prompter = get_dataset_wrapper( | |
| ^^^^^^^^^^^^^^^^^^^^ | |
| File "/workspace/axolotl/src/axolotl/utils/data/wrappers.py", line 131, in get_dataset_wrapper | |
| handle_unknown_dataset_strategy(dataset_config) | |
| File "/workspace/axolotl/src/axolotl/utils/data/wrappers.py", line 54, in handle_unknown_dataset_strategy | |
| raise ValueError(error_message) | |
| ValueError: unhandled prompt tokenization strategy: vl. | |