[2026-01-21 17:04:15,704] [WARNING] [py.warnings._showwarnmsg:110] [PID:252] /root/miniconda3/envs/py3.11/lib/python3.11/site-packages/torch/backends/__init__.py:46: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) self.setter(val) [2026-01-21 17:04:15,706] [DEBUG] [axolotl.utils.config.resolve_dtype:66] [PID:251] bf16 support detected, enabling for this configuration. [2026-01-21 17:04:15,707] [WARNING] [py.warnings._showwarnmsg:110] [PID:251] /root/miniconda3/envs/py3.11/lib/python3.11/site-packages/torch/backends/__init__.py:46: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) self.setter(val) [2026-01-21 17:04:15,709] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:251] baseline 0.000GB () [2026-01-21 17:04:15,709] [INFO] [axolotl.cli.config.load_cfg:259] [PID:251] config: { "activation_offloading": false, "adapter": "lora", "axolotl_config_path": "/workspace/axolotl/configs/1.yml", "base_model": "/cache/models/Qwen--Qwen2.5-3B-Instruct", "base_model_config": "/cache/models/Qwen--Qwen2.5-3B-Instruct", "batch_size": 64, "bf16": true, "capabilities": { "bf16": true, "compute_capability": "sm_90", "fp8": true, "n_gpu": 2, "n_node": 1 }, "chat_template": "llama3", "context_parallel_size": 1, "dataloader_num_workers": 2, "dataloader_pin_memory": true, "dataloader_prefetch_factor": 256, "dataset_num_proc": 52, "datasets": [ { "data_files": [ "1_train_data.json" ], "ds_type": "json", "message_property_mappings": { "content": "content", "role": "role" }, "path": "/workspace/axolotl/data", "split": "train", "trust_remote_code": false } ], "ddp": true, "device": "cuda:0", "device_map": { "": 0 }, "dion_rank_fraction": 1.0, "dion_rank_multiple_of": 1, "env_capabilities": { "torch_version": "2.9.0" }, "eval_batch_size": 1, "eval_causal_lm_metrics": [ "sacrebleu", "comet", "ter", "chrf" ], "eval_max_new_tokens": 128, "eval_strategy": "no", "eval_table_size": 0, "experimental_skip_move_to_device": true, "flash_attention": false, "fp16": false, "gradient_accumulation_steps": 32, "gradient_checkpointing": true, "group_by_length": false, "hub_strategy": "every_save", "include_tkps": true, "is_falcon_derived_model": false, "is_llama_derived_model": false, "is_mistral_derived_model": false, "learning_rate": 5e-06, "lisa_layers_attribute": "model.layers", "load_best_model_at_end": false, "load_in_4bit": false, "load_in_8bit": false, "local_rank": 0, "logging_steps": 1, "lora_alpha": 32, "lora_dropout": 0.0, "lora_r": 16, "lora_target_linear": true, "loraplus_lr_embedding": 1e-06, "lr_scheduler": "cosine", "max_grad_norm": 1.0, "max_steps": 64, "mean_resizing_embeddings": false, "micro_batch_size": 1, "mlflow_experiment_name": "/workspace/axolotl/data/1_train_data.json", "model_config_type": "qwen2", "num_epochs": 1.0, "optimizer": "adamw_bnb_8bit", "otel_metrics_host": "localhost", "otel_metrics_port": 8000, "output_dir": "/app/checkpoints/1/environment_test", "pad_to_sequence_len": true, "pretrain_multipack_attn": true, "profiler_steps_start": 0, "qlora_sharded_model_loading": false, "ray_num_workers": 1, "resources_per_worker": { "GPU": 1 }, "rl": "grpo", "sample_packing": false, "sample_packing_bin_size": 200, "sample_packing_group_size": 100000, "save_only_model": false, "save_safetensors": true, "save_steps": 20, "sequence_len": 24000, "shuffle_before_merging_datasets": false, "shuffle_merged_datasets": true, "skip_prepare_dataset": false, "special_tokens": { "bos_token": "<|im_end|>" }, "streaming_multipack_buffer_size": 10000, "strict": false, "tensor_parallel_size": 1, "tf32": false, "tiled_mlp_use_original_mlp": true, "tokenizer_config": "/cache/models/Qwen--Qwen2.5-3B-Instruct", "tokenizer_save_jinja_files": true, "tokenizer_type": "AutoTokenizer", "torch_dtype": "torch.bfloat16", "train_on_inputs": false, "trl": { "beta": 0.01, "log_completions": false, "mask_truncated_completions": false, "max_completion_length": 128, "num_generations": 8, "ref_model_mixup_alpha": 0.9, "ref_model_sync_steps": 64, "reward_funcs": [ "alfworld.alfworld_rollout_reward_func" ], "reward_weights": [ 1.0 ], "rollout_func": "alfworld.alfworld_rollout_first_prompt_and_completion", "scale_rewards": true, "sync_ref_model": false, "temperature": 0.7, "use_vllm": true, "vllm_enable_sleep_mode": false, "vllm_mode": "colocate", "vllm_server_host": "0.0.0.0", "vllm_server_port": 8000 }, "trust_remote_code": true, "type_of_model": "AutoModelForCausalLM", "use_mlflow": true, "use_otel_metrics": false, "use_ray": false, "use_wandb": true, "val_set_size": 0.0, "vllm": { "device": "auto", "dtype": "auto", "enable_prefix_caching": false, "gpu_memory_utilization": 0.3, "host": "0.0.0.0", "max_model_len": 8192, "port": 8000, "tensor_parallel_size": 1 }, "wandb_mode": "online", "wandb_name": "1_environment_test", "wandb_project": "Gradients-Rollout", "weight_decay": 0.0, "world_size": 2 } [2026-01-21 17:04:15,712] [WARNING] [axolotl.cli.checks.check_user_token:46] [PID:251] Error verifying HuggingFace token. Remember to log in using `huggingface-cli login` and get your access token from https://huggingface.co/settings/tokens if you want to use gated models or datasets. [2026-01-21 17:04:15,939] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:285] [PID:251] EOS: 151645 / <|im_end|> [2026-01-21 17:04:15,939] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:251] BOS: 151645 / <|im_end|> [2026-01-21 17:04:15,939] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:251] PAD: 151643 / <|endoftext|> [2026-01-21 17:04:15,939] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:251] UNK: None / None [2026-01-21 17:04:15,939] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:481] [PID:251] Unable to find prepared dataset in last_run_prepared/ba0ae834220c702ae7aefbdbfde66c85 Generating train split: 0 examples [00:00, ? examples/s] Generating train split: 1000 examples [00:00, 174806.37 examples/s] [2026-01-21 17:04:16,306] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:285] [PID:251] EOS: 151645 / <|im_end|> [2026-01-21 17:04:16,306] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:251] BOS: 151645 / <|im_end|> [2026-01-21 17:04:16,306] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:251] PAD: 151643 / <|endoftext|> [2026-01-21 17:04:16,306] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:251] UNK: None / None Dropping Long Sequences (num_proc=52): 0%| | 0/1000 [00:00 [2026-01-21 17:04:22,876] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:251] BOS: 151645 / <|im_end|> [2026-01-21 17:04:22,876] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:251] PAD: 151643 / <|endoftext|> [2026-01-21 17:04:22,876] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:251] UNK: None / None [2026-01-21 17:04:22,876] [DEBUG] [axolotl.train.setup_model_and_tokenizer:82] [PID:251] Loading model [2026-01-21 17:04:22,886] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:251] Patched Trainer.evaluation_loop with nanmean loss calculation [2026-01-21 17:04:22,888] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:251] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation Loading checkpoint shards: 0%| | 0/2 [00:00:246: FutureWarning: The `max_prompt_length` argument is deprecated and will be removed in version 0.28.0. You should instead filter your dataset before training to ensure that prompts do not exceed your desired length. [2026-01-21 17:04:32,548] [WARNING] [py.warnings._showwarnmsg:110] [PID:251] :246: FutureWarning: The `max_prompt_length` argument is deprecated and will be removed in version 0.28.0. You should instead filter your dataset before training to ensure that prompts do not exceed your desired length. [2026-01-21 17:04:33,253] [WARNING] [py.warnings._showwarnmsg:110] [PID:252] /workspace/axolotl/src/axolotl/core/trainers/mixins/optimizer.py:209: UserWarning: You are importing from 'rollout_func', which is an experimental feature. This API may change or be removed at any time without prior notice. Silence this warning by setting environment variable TRL_EXPERIMENTAL_SILENCE=1. super().__init__(*args, **kwargs) [2026-01-21 17:04:33,256] [WARNING] [py.warnings._showwarnmsg:110] [PID:251] /workspace/axolotl/src/axolotl/core/trainers/mixins/optimizer.py:209: UserWarning: You are importing from 'rollout_func', which is an experimental feature. This API may change or be removed at any time without prior notice. Silence this warning by setting environment variable TRL_EXPERIMENTAL_SILENCE=1. super().__init__(*args, **kwargs) Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00