[2026-04-15 15:00:45,120] [DEBUG] [axolotl.utils.config.resolve_dtype:66] [PID:2788] bf16 support detected, enabling for this configuration. [2026-04-15 15:00:45,223] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:2788] baseline 0.000GB () [2026-04-15 15:00:45,223] [INFO] [axolotl.cli.config.load_cfg:248] [PID:2788] config: { "activation_offloading": false, "adapter": "lora", "axolotl_config_path": "config.yaml", "base_model": "Qwen/Qwen2.5-Coder-3B-Instruct", "base_model_config": "Qwen/Qwen2.5-Coder-3B-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": 24, "datasets": [ { "chat_template": "tokenizer_default", "ds_type": "json", "field_messages": "messages", "message_property_mappings": { "content": "content", "role": "role" }, "path": "dria_pythonic_fc_chatml.jsonl", "trust_remote_code": false, "type": "chat_template" } ], "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, "fp16": false, "gradient_accumulation_steps": 8, "gradient_checkpointing": false, "include_tkps": true, "learning_rate": 0.0002, "lisa_layers_attribute": "model.layers", "load_best_model_at_end": false, "load_in_4bit": false, "load_in_8bit": true, "local_rank": 0, "lora_alpha": 32, "lora_dropout": 0.05, "lora_r": 16, "lora_target_modules": [ "q_proj", "v_proj", "k_proj", "o_proj", "gate_proj", "down_proj", "up_proj" ], "loraplus_lr_embedding": 1e-06, "lr_scheduler": "cosine", "mean_resizing_embeddings": false, "micro_batch_size": 1, "model_config_type": "qwen2", "num_epochs": 2.0, "optimizer": "adamw_bnb_8bit", "output_dir": "./outputs/Qwen2.5-Coder-3B-Instruct-coding-agent", "pretrain_multipack_attn": true, "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, "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-Coder-3B-Instruct", "tokenizer_save_jinja_files": true, "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 }, "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 } [2026-04-15 15:00:45,611] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:278] [PID:2788] EOS: 151645 / <|im_end|> [2026-04-15 15:00:45,616] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:279] [PID:2788] BOS: None / None [2026-04-15 15:00:45,617] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:2788] PAD: 151643 / <|endoftext|> [2026-04-15 15:00:45,618] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:2788] UNK: None / None [2026-04-15 15:00:45,618] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:476] [PID:2788] Unable to find prepared dataset in last_run_prepared/8f7eb77e9223d8e0f9d67ceaf2fe66aa [2026-04-15 15:00:45,619] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:2788] Loading raw datasets... [2026-04-15 15:00:45,619] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:2788] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`. Generating train split: 0 examples [00:00, ? examples/s] Generating train split: 4700 examples [00:00, 27428.78 examples/s] Generating train split: 18689 examples [00:00, 65610.98 examples/s] Generating train split: 31377 examples [00:00, 74707.26 examples/s] Generating train split: 43579 examples [00:00, 81622.44 examples/s] Generating train split: 52456 examples [00:00, 65689.00 examples/s] Generating train split: 61915 examples [00:01, 48484.23 examples/s] Generating train split: 70945 examples [00:01, 50576.27 examples/s] Generating train split: 79532 examples [00:01, 53934.34 examples/s] Generating train split: 81819 examples [00:01, 53985.94 examples/s] [2026-04-15 15:00:47,413] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:2788] Loading dataset: dria_pythonic_fc_chatml.jsonl with base_type: chat_template and prompt_style: None [2026-04-15 15:00:47,422] [INFO] [axolotl.prompt_strategies.chat_template.__call__:969] [PID:2788] Using chat template: --- {%- if tools %} {{- '<|im_start|>system\n' }} {%- if messages[0]['role'] == 'system' %} {{- messages[0]['content'] }} {%- else %} {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} {%- endif %} {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} {%- for tool in tools %} {{- "\n" }} {{- tool | tojson }} {%- endfor %} {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} {%- else %} {%- if messages[0]['role'] == 'system' %} {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} {%- else %} {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }} {%- endif %} {%- endif %} {%- for message in messages %} {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} {%- elif message.role == "assistant" %} {{- '<|im_start|>' + message.role }} {%- if message.content %} {{- '\n' + message.content }} {%- endif %} {%- for tool_call in message.tool_calls %} {%- if tool_call.function is defined %} {%- set tool_call = tool_call.function %} {%- endif %} {{- '\n\n{"name": "' }} {{- tool_call.name }} {{- '", "arguments": ' }} {{- tool_call.arguments | tojson }} {{- '}\n' }} {%- endfor %} {{- '<|im_end|>\n' }} {%- elif message.role == "tool" %} {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} {{- '<|im_start|>user' }} {%- endif %} {{- '\n\n' }} {{- message.content }} {{- '\n' }} {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} {{- '<|im_end|>\n' }} {%- endif %} {%- endif %} {%- endfor %} {%- if add_generation_prompt %} {{- '<|im_start|>assistant\n' }} {%- endif %} --- Tokenizing Prompts (num_proc=24): 0%| | 0/81819 [00:002048) (num_proc=24): 0%| | 0/81819 [00:002048) (num_proc=24): 1%|▍ | 1000/81819 [00:00<00:41, 1938.04 examples/s] Dropping Long Sequences (>2048) (num_proc=24): 23%|██████▋ | 19000/81819 [00:00<00:01, 35010.37 examples/s] Dropping Long Sequences (>2048) (num_proc=24): 35%|██████████▎ | 29000/81819 [00:00<00:01, 48529.89 examples/s] Dropping Long Sequences (>2048) (num_proc=24): 51%|██████████████▉ | 42000/81819 [00:00<00:00, 62786.53 examples/s] Dropping Long Sequences (>2048) (num_proc=24): 62%|██████████████████ | 51000/81819 [00:01<00:00, 68171.50 examples/s] Dropping Long Sequences (>2048) (num_proc=24): 81%|███████████████████████▌ | 66637/81819 [00:01<00:00, 90094.56 examples/s] Dropping Long Sequences (>2048) (num_proc=24): 96%|███████████████████████████▊ | 78365/81819 [00:01<00:00, 87181.77 examples/s] Dropping Long Sequences (>2048) (num_proc=24): 100%|█████████████████████████████| 81819/81819 [00:01<00:00, 54016.24 examples/s] [2026-04-15 15:02:37,679] [WARNING] [axolotl.utils.data.utils.handle_long_seq_in_dataset:260] [PID:2788] Dropped 1351 samples from dataset Saving the dataset (0/24 shards): 0%| | 0/80468 [00:00 [2026-04-15 15:02:39,713] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:279] [PID:2788] BOS: None / None [2026-04-15 15:02:39,714] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:2788] PAD: 151643 / <|endoftext|> [2026-04-15 15:02:39,714] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:2788] UNK: None / None [2026-04-15 15:02:39,714] [DEBUG] [axolotl.train.setup_model_and_tokenizer:74] [PID:2788] Loading model [2026-04-15 15:02:39,766] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:2788] Patched Trainer.evaluation_loop with nanmean loss calculation [2026-04-15 15:02:39,767] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:2788] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation model.safetensors.index.json: 0.00B [00:00, ?B/s] model.safetensors.index.json: 35.6kB [00:00, 170MB/s] model-00001-of-00002.safetensors: 0%| | 0.00/4.96G [00:00