diff --git "a/training_artifacts/logs/pipeline_cleaned.txt" "b/training_artifacts/logs/pipeline_cleaned.txt" --- "a/training_artifacts/logs/pipeline_cleaned.txt" +++ "b/training_artifacts/logs/pipeline_cleaned.txt" @@ -6516,7 +6516,24 @@ World size: 2 Launching on worker node 1: gl065 All worker nodes launched successfully Waiting 5 seconds for worker nodes to initialize... -ch_test__interactive/merged +======================================== +Job Name: lf_torch_test__interactive +Hostname: gl065.hpc.nyu.edu +Number of nodes: 2 +GPUs per node: 2 +Start Time: Wed Oct 22 05:19:01 PM EDT 2025 +Log file: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/logs/pipeline.log +======================================== +Sourcing secrets from: /scratch/zrs2020/LlamaFactoryHelper/secrets.env + +======================================== +Configuration Paths +======================================== +Train Config: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/configs/train_config.yaml +Merge Config: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/configs/merge_config.yaml +Dataset Info: +Output Dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints +Export Dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged HF Repo ID: TAUR-dev/testing_llamafactory_helper_quick_test__interactive @@ -6527,7 +6544,6 @@ Start Time: Wed Oct 22 05:19:03 PM EDT 2025 Worker node - skipping dataset preprocessing Dataset memory mapping: DISABLED (worker node) Worker node waiting for master to complete preprocessing... -Master node (this node) will now join training as rank 0 Proceeding with training... @@ -6535,13 +6551,14 @@ Multi-node training detected Nodes: 2, GPUs per node: 2 Master address: gl064 Master port: 29500 -Node rank: 0 +Node rank: 1 World size: 2 CUDA_VISIBLE_DEVICES: 0,1 -Using node-specific cache: /scratch/zrs2020/.cache/hf_cache/home/datasets_node0 +Using node-specific cache: /scratch/zrs2020/.cache/hf_cache/home/datasets_node1 LLaMA-Factory path: /scratch/zrs2020/LlamaFactoryHelper/LLaMA-Factory Training config: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/configs/train_config.yaml +Worker node: Adding extra 5 second delay for cache synchronization... Starting distributed training with torch.distributed.run... ***************************************** @@ -6551,11 +6568,7 @@ Setting OMP_NUM_THREADS environment variable for each process to be 1 in default warnings.warn( /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/transformers/utils/hub.py:110: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead. warnings.warn( -/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. - import pkg_resources -/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. - import pkg_resources -[INFO|2025-10-22 17:19:31] llamafactory.hparams.parser:143 >> Set `ddp_find_unused_parameters` to False in DDP training since LoRA is enabled. +et `ddp_find_unused_parameters` to False in DDP training since LoRA is enabled. [INFO|2025-10-22 17:19:31] llamafactory.hparams.parser:423 >> Process rank: 0, world size: 4, device: cuda:0, distributed training: True, compute dtype: torch.float16 [INFO|2025-10-22 17:19:31] llamafactory.hparams.parser:423 >> Process rank: 1, world size: 4, device: cuda:1, distributed training: True, compute dtype: torch.float16 [INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:31,461 >> loading file vocab.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/vocab.json @@ -6632,55 +6645,91 @@ Setting OMP_NUM_THREADS environment variable for each process to be 1 in default [INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:31,923 >> loading file chat_template.jinja from cache at None [INFO|tokenization_utils_base.py:2364] 2025-10-22 17:19:32,090 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. [INFO|2025-10-22 17:19:32] llamafactory.data.loader:143 >> Loading dataset TAUR-dev/D-SFT_C-sft_exp_AT_pvv2__fixed-sft-data... -Generating train split: 0%| | 0/54000 [00:00 -gl064:2408238:2408238 [0] NCCL INFO cudaDriverVersion 13000 -gl064:2408238:2408238 [0] NCCL INFO NCCL version 2.27.5+cuda12.9 -gl064:2408238:2408238 [0] NCCL INFO Comm config Blocking set to 1 -gl064:2408239:2408239 [1] NCCL INFO cudaDriverVersion 13000 -gl064:2408239:2408239 [1] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ibs -gl064:2408239:2408239 [1] NCCL INFO Bootstrap: Using ibs3:10.0.5.0<0> -gl064:2408239:2408239 [1] NCCL INFO NCCL version 2.27.5+cuda12.9 -gl064:2408239:2408239 [1] NCCL INFO Comm config Blocking set to 1 -gl064:2408238:2408286 [0] NCCL INFO NET/Plugin: Could not find: libnccl-net.so. -gl064:2408238:2408286 [0] NCCL INFO NCCL_IB_DISABLE set by environment to 0. -gl064:2408239:2408287 [1] NCCL INFO NET/Plugin: Could not find: libnccl-net.so. -gl064:2408239:2408287 [1] NCCL INFO NCCL_IB_DISABLE set by environment to 0. -gl064:2408238:2408286 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ibs -gl064:2408238:2408286 [0] NCCL INFO NCCL_IB_HCA set to mlx5 -gl064:2408239:2408287 [1] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ibs -gl064:2408239:2408287 [1] NCCL INFO NCCL_IB_HCA set to mlx5 -gl064:2408238:2408286 [0] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB ibs3:10.0.5.0<0> -gl064:2408238:2408286 [0] NCCL INFO Initialized NET plugin IB -gl064:2408239:2408287 [1] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB ibs3:10.0.5.0<0> -gl064:2408239:2408287 [1] NCCL INFO Initialized NET plugin IB -gl064:2408238:2408286 [0] NCCL INFO Assigned NET plugin IB to comm -gl064:2408239:2408287 [1] NCCL INFO Assigned NET plugin IB to comm -gl064:2408238:2408286 [0] NCCL INFO Using network IB -gl064:2408239:2408287 [1] NCCL INFO Using network IB -gl064:2408239:2408287 [1] NCCL INFO ncclCommInitRankConfig comm 0x15caa6f0 rank 1 nranks 4 cudaDev 1 nvmlDev 1 busId 59000 commId 0xb0043625b437bfc0 - Init START -gl064:2408238:2408286 [0] NCCL INFO ncclCommInitRankConfig comm 0x11760700 rank 0 nranks 4 cudaDev 0 nvmlDev 0 busId 47000 commId 0xb0043625b437bfc0 - Init START -gl064:2408238:2408286 [0] NCCL INFO RAS client listening socket at ::1<28028> -gl064:2408239:2408287 [1] NCCL INFO RAS client listening socket at ::1<28028> -gl064:2408239:2408287 [1] NCCL INFO Bootstrap timings total 0.863397 (create 0.000024, send 0.000081, recv 0.860273, ring 0.002451, delay 0.000000) -gl064:2408238:2408286 [0] NCCL INFO Bootstrap timings total 0.863394 (create 0.000023, send 0.000074, recv 0.000414, ring 0.831440, delay 0.000000) -gl064:2408238:2408286 [0] NCCL INFO Setting affinity for GPU 0 to 0-31 -gl064:2408239:2408287 [1] NCCL INFO Setting affinity for GPU 1 to 0-31 -gl064:2408239:2408287 [1] NCCL INFO comm 0x15caa6f0 rank 1 nRanks 4 nNodes 2 localRanks 2 localRank 1 MNNVL 0 -gl064:2408238:2408286 [0] NCCL INFO comm 0x11760700 rank 0 nRanks 4 nNodes 2 localRanks 2 localRank 0 MNNVL 0 -gl064:2408238:2408286 [0] NCCL INFO Channel 00/02 : 0 1 2 3 -gl064:2408238:2408286 [0] NCCL INFO Channel 01/02 : 0 1 2 3 -gl064:2408239:2408287 [1] NCCL INFO Trees [0] -1/-1/-1->1->0 [1] -1/-1/-1->1->0 -gl064:2408238:2408286 [0] NCCL INFO Trees [0] 1/2/-1->0->-1 [1] 1/-1/-1->0->2 -gl064:2408239:2408287 [1] NCCL INFO P2P Chunksize set to 131072 -gl064:2408238:2408286 [0] NCCL INFO P2P Chunksize set to 131072 -gl064:2408239:2408287 [1] NCCL INFO PROFILER/Plugin: Could not find: libnccl-profiler.so. -gl064:2408238:2408286 [0] NCCL INFO PROFILER/Plugin: Could not find: libnccl-profiler.so. +Generating train split: 0%| | 0/54000 [00:00> Process rank: 3, world size: 4, device: cuda:1, distributed training: True, compute dtype: torch.float16 +[INFO|2025-10-22 17:19:33] llamafactory.hparams.parser:143 >> Set `ddp_find_unused_parameters` to False in DDP training since LoRA is enabled. +[INFO|2025-10-22 17:19:33] llamafactory.hparams.parser:423 >> Process rank: 2, world size: 4, device: cuda:0, distributed training: True, compute dtype: torch.float16 +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,318 >> loading file vocab.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/vocab.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,318 >> loading file merges.txt from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/merges.txt +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,318 >> loading file tokenizer.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,318 >> loading file added_tokens.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,318 >> loading file special_tokens_map.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,318 >> loading file tokenizer_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer_config.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,318 >> loading file chat_template.jinja from cache at None +[INFO|tokenization_utils_base.py:2364] 2025-10-22 17:19:33,486 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +[INFO|configuration_utils.py:765] 2025-10-22 17:19:33,694 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:19:33,696 >> Model config Qwen2Config { + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 896, + "initializer_range": 0.02, + "intermediate_size": 4864, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 24, + "model_type": "qwen2", + "num_attention_heads": 14, + "num_hidden_layers": 24, + "num_key_value_heads": 2, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "4.57.1", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 151936 +} + +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,764 >> loading file vocab.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/vocab.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,764 >> loading file merges.txt from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/merges.txt +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,764 >> loading file tokenizer.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,764 >> loading file added_tokens.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,764 >> loading file special_tokens_map.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,764 >> loading file tokenizer_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer_config.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:19:33,764 >> loading file chat_template.jinja from cache at None +[INFO|tokenization_utils_base.py:2364] 2025-10-22 17:19:33,928 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +[INFO|2025-10-22 17:19:33] llamafactory.data.loader:143 >> Loading dataset TAUR-dev/D-SFT_C-sft_exp_AT_pvv2__fixed-sft-data... +Generating train split: 0%| | 0/54000 [00:00 +gl065:3809763:3809763 [1] NCCL INFO NCCL version 2.27.5+cuda12.9 +gl065:3809763:3809763 [1] NCCL INFO-profiler.so. gl064:2408238:2408286 [0] NCCL INFO Check P2P Type isAllDirectP2p 0 directMode 0 gl064:2408238:2408299 [0] NCCL INFO [Proxy Service] Device 0 CPU core 6 gl064:2408239:2408300 [1] NCCL INFO [Proxy Service] Device 1 CPU core 14 @@ -6707,7 +6756,11 @@ gl064:2408239:2408304 [1] NCCL INFO Channel 01/0 : 1[1] -> 2[0] [send] via NET/I gl064:2408239:2408306 [1] NCCL INFO [Proxy Progress] Device 1 CPU core 16 gl064:2408238:2408303 [0] NCCL INFO Connected all rings, use ring PXN 0 GDR 0 gl064:2408239:2408304 [1] NCCL INFO Connected all rings, use ring PXN 0 GDR 0 -Running tokenizer on dataset: 0%| | 0/54000 [00:00 0[0] [send] via NET/I gl065:3809763:3809949 [1] NCCL INFO [Proxy Progress] Device 1 CPU core 8 gl065:3809763:3809947 [1] NCCL INFO Connected all rings, use ring PXN 0 GDR 0 gl065:3809762:3809946 [0] NCCL INFO Connected all rings, use ring PXN 0 GDR 0 -Running tokenizer on dataset: 0%| | 0/54000 [00:00<|endoftext|> -[INFO|configuration_utils.py:765] 2025-10-22 17:22:02,188 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json -[INFO|configuration_utils.py:839] 2025-10-22 17:22:02,188 >> Model config Qwen2Config { +[INFO|configuration_utils.py:765] 2025-10-22 17:22:02,136 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:22:02,137 >> Model config Qwen2Config { "architectures": [ "Qwen2ForCausalLM" ], @@ -7035,36 +7088,35 @@ Hence, the correct answer is: [INFO|2025-10-22 17:22:02] llamafactory.model.model_utils.kv_cache:143 >> KV cache is disabled during training. `torch_dtype` is deprecated! Use `dtype` instead! -[WARNING|logging.py:328] 2025-10-22 17:22:02,943 >> `torch_dtype` is deprecated! Use `dtype` instead! -[INFO|modeling_utils.py:1172] 2025-10-22 17:22:02,944 >> loading weights file model.safetensors from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/model.safetensors -[INFO|modeling_utils.py:2341] 2025-10-22 17:22:02,945 >> Instantiating Qwen2ForCausalLM model under default dtype torch.float16. -[INFO|configuration_utils.py:986] 2025-10-22 17:22:02,947 >> Generate config GenerationConfig { +[WARNING|logging.py:328] 2025-10-22 17:22:02,935 >> `torch_dtype` is deprecated! Use `dtype` instead! +[INFO|modeling_utils.py:1172] 2025-10-22 17:22:02,936 >> loading weights file model.safetensors from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/model.safetensors +[INFO|modeling_utils.py:2341] 2025-10-22 17:22:02,937 >> Instantiating Qwen2ForCausalLM model under default dtype torch.float16. +[INFO|configuration_utils.py:986] 2025-10-22 17:22:02,938 >> Generate config GenerationConfig { "bos_token_id": 151643, "eos_token_id": 151643, "use_cache": false } -[INFO|configuration_utils.py:941] 2025-10-22 17:22:03,449 >> loading configuration file generation_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/generation_config.json -[INFO|configuration_utils.py:986] 2025-10-22 17:22:03,449 >> Generate config GenerationConfig { +[INFO|configuration_utils.py:941] 2025-10-22 17:22:03,393 >> loading configuration file generation_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/generation_config.json +[INFO|configuration_utils.py:986] 2025-10-22 17:22:03,393 >> Generate config GenerationConfig { "bos_token_id": 151643, "eos_token_id": 151643, "max_new_tokens": 2048 } -[INFO|dynamic_module_utils.py:423] 2025-10-22 17:22:03,511 >> Could not locate the custom_generate/generate.py inside Qwen/Qwen2.5-0.5B. +[INFO|dynamic_module_utils.py:423] 2025-10-22 17:22:03,456 >> Could not locate the custom_generate/generate.py inside Qwen/Qwen2.5-0.5B. [INFO|2025-10-22 17:22:03] llamafactory.model.model_utils.checkpointing:143 >> Gradient checkpointing enabled. [INFO|2025-10-22 17:22:03] llamafactory.model.model_utils.attention:143 >> Using torch SDPA for faster training and inference. [INFO|2025-10-22 17:22:03] llamafactory.model.adapter:143 >> Upcasting trainable params to float32. [INFO|2025-10-22 17:22:03] llamafactory.model.adapter:143 >> Fine-tuning method: LoRA -[INFO|2025-10-22 17:22:03] llamafactory.model.model_utils.misc:143 >> Found linear modules: q_proj,up_proj,down_proj,v_proj,gate_proj,k_proj,o_proj +[INFO|2025-10-22 17:22:03] llamafactory.model.model_utils.misc:143 >> Found linear modules: q_proj,k_proj,v_proj,o_proj,up_proj,gate_proj,down_proj The model is already on multiple devices. Skipping the move to device specified in `args`. The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}. [INFO|2025-10-22 17:22:03] llamafactory.model.loader:143 >> trainable params: 4,399,104 || all params: 498,431,872 || trainable%: 0.8826 -[WARNING|trainer.py:906] 2025-10-22 17:22:03,621 >> The model is already on multiple devices. Skipping the move to device specified in `args`. -[INFO|trainer.py:699] 2025-10-22 17:22:03,624 >> max_steps is given, it will override any value given in num_train_epochs -[INFO|trainer.py:749] 2025-10-22 17:22:03,624 >> Using auto half precision backend -[WARNING|2025-10-22 17:22:03] llamafactory.train.callbacks:154 >> Previous trainer log in this folder will be deleted. -[WARNING|trainer.py:982] 2025-10-22 17:22:03,627 >> The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}. +[WARNING|trainer.py:906] 2025-10-22 17:22:03,562 >> The model is already on multiple devices. Skipping the move to device specified in `args`. +[INFO|trainer.py:699] 2025-10-22 17:22:03,564 >> max_steps is given, it will override any value given in num_train_epochs +[INFO|trainer.py:749] 2025-10-22 17:22:03,564 >> Using auto half precision backend +[WARNING|trainer.py:982] 2025-10-22 17:22:03,565 >> The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}. [INFO|trainer.py:2519] 2025-10-22 17:22:04,001 >> ***** Running training ***** [INFO|trainer.py:2520] 2025-10-22 17:22:04,001 >> Num examples = 48,600 [INFO|trainer.py:2521] 2025-10-22 17:22:04,001 >> Num Epochs = 1 @@ -7072,9 +7124,15 @@ The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and g [INFO|trainer.py:2525] 2025-10-22 17:22:04,001 >> Total train batch size (w. parallel, distributed & accumulation) = 4 [INFO|trainer.py:2526] 2025-10-22 17:22:04,001 >> Gradient Accumulation steps = 1 [INFO|trainer.py:2527] 2025-10-22 17:22:04,001 >> Total optimization steps = 100 -[INFO|trainer.py:2528] 2025-10-22 17:22:04,002 >> Number of trainable parameters = 4,399,104 -[INFO|integration_utils.py:867] 2025-10-22 17:22:04,024 >> Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true" -wandb: Currently logged in as: zsprague (ut_nlp_deduce) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +[INFO|trainer.py:2528] 2025-10-22 17:22:04,003 >> Number of trainable parameters = 4,399,104 +[INFO|trainer.py:2810] 2025-10-22 17:22:30,188 >> + +Training completed. Do not forget to share your model on huggingface.co/models =) + + +gl065:3809763:3809763 [1] NCCL INFO comm 0x126f5330 rank 3 nranks 4 cudaDev 1 busId 59000 - Destroy COMPLETE +gl065:3809762:3809762 [0] NCCL INFO comm 0x11644470 rank 2 nranks 4 cudaDev 0 busId 47000 - Destroy COMPLETE +. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.22.2 wandb: Run data is saved locally in /scratch/zrs2020/LlamaFactoryHelper/wandb/run-20251022_172204-p5x5pr79 wandb: Run `wandb offline` to turn off syncing. @@ -7300,7 +7358,18 @@ gl064:2408238:2408238 [0] NCCL INFO comm 0x11760700 rank 0 nranks 4 cudaDev 0 bu Training completed successfully End Time: Wed Oct 22 05:22:33 PM EDT 2025 ======================================== -0: python() [0x56cd70] +ils.hpp:697 (most recent call first): +frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) + 0x80 (0x7f3255fbcb80 in /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/lib/libc10.so) +frame #1: + 0x5ffd531 (0x7f32983c4531 in /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) +frame #2: + 0x5ffdacd (0x7f32983c4acd in /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) +frame #3: + 0x5ffe19b (0x7f32983c519b in /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) +frame #4: + 0x5fff0d7 (0x7f32983c60d7 in /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) +frame #5: c10d::TCPStore::compareSet(std::__cxx11::basic_string, std::allocator > const&, std::vector > const&, std::vector > const&) + 0x261 (0x7f32983c0c31 in /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) +frame #6: + 0xd9d16d (0x7f32a7b0b16d in /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/lib/libtorch_python.so) +frame #7: + 0x3c072e (0x7f32a712e72e in /scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/lib/libtorch_python.so) +frame #8: python() [0x543944] + +frame #10: python() [0x56cd70] frame #14: python() [0x6282e6] frame #18: python() [0x5fd997] frame #19: python() [0x53939e] @@ -7523,3 +7592,1241 @@ Preparing Training Artifacts ======================================== Copying configuration files... Copying and cleaning training logs... +Training artifacts prepared in: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged/training_artifacts +Contents: +Log files: + +======================================== +STAGE 3: Uploading to HuggingFace Hub +Repository: TAUR-dev/testing_llamafactory_helper_quick_test__interactive +Start Time: Wed Oct 22 05:22:49 PM EDT 2025 +======================================== +Uploading contents of: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged +Directory structure: + +Executing: huggingface-cli upload TAUR-dev/testing_llamafactory_helper_quick_test__interactive /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged . +Start hashing 17 files. +Finished hashing 17 files. +[33m Warning: 'huggingface-cli upload' is deprecated. 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SUCCESSFULLY +End Time: Wed Oct 22 05:22:57 PM EDT 2025 +======================================== + +======================================== +Cleaning up LlamaFactory processes +======================================== +Cleaned up processes on gl064.hpc.nyu.edu +Cleaning up processes on worker node: gl065 +Process cleanup complete +======================================== +Job Name: lf_torch_test__interactive +Hostname: gl064.hpc.nyu.edu +Number of nodes: 2 +GPUs per node: 2 +Start Time: Wed Oct 22 05:23:04 PM EDT 2025 +Log file: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/logs/pipeline.log +======================================== +Sourcing secrets from: /scratch/zrs2020/LlamaFactoryHelper/secrets.env + +======================================== +Configuration Paths +======================================== +Train Config: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/configs/train_config.yaml +Merge Config: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/configs/merge_config.yaml +Dataset Info: +Output Dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints +Export Dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged +HF Repo ID: TAUR-dev/testing_llamafactory_helper_quick_test__interactive + + +======================================== +STAGE 1: Training Model +Start Time: Wed Oct 22 05:23:07 PM EDT 2025 +======================================== + +Checking dataset cache status (master node only)... +Multi-node setup detected - skipping centralized preprocessing +Each node will process dataset independently with memory mapping disabled + +======================================== +Multi-Node Coordination +======================================== +This is the master node - launching worker nodes... +Master node: gl064 +Master port: 29500 +World size: 2 + +Launching on worker node 1: gl065 +All worker nodes launched successfully +Waiting 5 seconds for worker nodes to initialize... +Master node (this node) will now join training as rank 0 + +Proceeding with training... + +Multi-node training detected +Nodes: 2, GPUs per node: 2 +Master address: gl064 +Master port: 29500 +Node rank: 0 +World size: 2 +CUDA_VISIBLE_DEVICES: 0,1 +Using node-specific cache: /scratch/zrs2020/.cache/hf_cache/home/datasets_node0 +LLaMA-Factory path: /scratch/zrs2020/LlamaFactoryHelper/LLaMA-Factory +Training config: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/configs/train_config.yaml + +Starting distributed training with torch.distributed.run... + +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/transformers/utils/hub.py:110: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead. + warnings.warn( +/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/transformers/utils/hub.py:110: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead. + warnings.warn( +/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. + import pkg_resources +/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. + import pkg_resources +[INFO|2025-10-22 17:23:38] llamafactory.hparams.parser:143 >> Set `ddp_find_unused_parameters` to False in DDP training since LoRA is enabled. +[INFO|2025-10-22 17:23:38] llamafactory.hparams.parser:423 >> Process rank: 0, world size: 4, device: cuda:0, distributed training: True, compute dtype: torch.float16 +[INFO|2025-10-22 17:23:38] llamafactory.hparams.parser:423 >> Process rank: 1, world size: 4, device: cuda:1, distributed training: True, compute dtype: torch.float16 +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:38,584 >> loading file vocab.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/vocab.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:38,584 >> loading file merges.txt from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/merges.txt +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:38,584 >> loading file tokenizer.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:38,584 >> loading file added_tokens.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:38,584 >> loading file special_tokens_map.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:38,584 >> loading file tokenizer_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer_config.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:38,584 >> loading file chat_template.jinja from cache at None +[INFO|tokenization_utils_base.py:2364] 2025-10-22 17:23:38,756 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +[INFO|configuration_utils.py:765] 2025-10-22 17:23:38,948 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:23:38,949 >> Model config Qwen2Config { + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 896, + "initializer_range": 0.02, + "intermediate_size": 4864, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 24, + "model_type": "qwen2", + "num_attention_heads": 14, + "num_hidden_layers": 24, + "num_key_value_heads": 2, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "4.57.1", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 151936 +} + +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:39,011 >> loading file vocab.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/vocab.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:39,011 >> loading file merges.txt from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/merges.txt +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:39,011 >> loading file tokenizer.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:39,011 >> loading file added_tokens.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:39,011 >> loading file special_tokens_map.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:39,011 >> loading file tokenizer_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer_config.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:23:39,011 >> loading file chat_template.jinja from cache at None +[INFO|tokenization_utils_base.py:2364] 2025-10-22 17:23:39,177 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +[INFO|2025-10-22 17:23:39] llamafactory.data.loader:143 >> Loading dataset TAUR-dev/D-SFT_C-sft_exp_AT_pvv2__fixed-sft-data... +Converting format of dataset: 100%|| 54000/54000 [00:00 +gl064:2409682:2409682 [0] NCCL INFO cudaDriverVersion 13000 +gl064:2409682:2409682 [0] NCCL INFO NCCL version 2.27.5+cuda12.9 +gl064:2409682:2409682 [0] NCCL INFO Comm config Blocking set to 1 +gl064:2409683:2409683 [1] NCCL INFO cudaDriverVersion 13000 +gl064:2409683:2409683 [1] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ibs +gl064:2409683:2409683 [1] NCCL INFO Bootstrap: Using ibs3:10.0.5.0<0> +gl064:2409683:2409683 [1] NCCL INFO NCCL version 2.27.5+cuda12.9 +gl064:2409683:2409683 [1] NCCL INFO Comm config Blocking set to 1 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Using internal tuner plugin. +gl065:3813032:3813142 [1] NCCL INFO ncclCommInitRankConfig comm 0x12d355a0 rank 3 nranks 4 cudaDev 1 nvmlDev 1 busId 59000 commId 0xdc96a09c11393e3 - Init COMPLETE +gl065:3813032:3813142 [1] NCCL INFO Init timings - ncclCommInitRankConfig: rank 3 nranks 4 total 2.90 (kernels 0.08, alloc 0.01, bootstrap 2.77, allgathers 0.02, topo 0.02, graphs 0.00, connections 0.00, rest 0.00) +gl065:3813031:3813160 [0] NCCL INFO Channel 00/0 : 1[1] -> 2[0] [receive] via NET/IB/0 +gl065:3813031:3813160 [0] NCCL INFO Channel 01/0 : 1[1] -> 2[0] [receive] via NET/IB/0 +gl065:3813031:3813162 [0] NCCL INFO [Proxy Progress] Device 0 CPU core 27 +gl065:3813031:3813160 [0] NCCL INFO Channel 00 : 2[0] -> 3[1] via SHM/direct/direct +gl065:3813031:3813160 [0] NCCL INFO Channel 01 : 2[0] -> 3[1] via SHM/direct/direct +gl065:3813032:3813161 [1] NCCL INFO Channel 00/0 : 3[1] -> 0[0] [send] via NET/IB/0 +gl065:3813032:3813161 [1] NCCL INFO Channel 01/0 : 3[1] -> 0[0] [send] via NET/IB/0 +gl065:3813032:3813163 [1] NCCL INFO [Proxy Progress] Device 1 CPU core 28 +gl065:3813031:3813160 [0] NCCL INFO Connected all rings, use ring PXN 0 GDR 0 +gl065:3813032:3813161 [1] NCCL INFO Connected all rings, use ring PXN 0 GDR 0 +Running tokenizer on dataset: 100%|| 54000/54000 [00:00(your answer). + +# Problem +Using the numbers in the list [67, 71, 31], create an equation that equals 169. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps "Step X:" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target. + +Give your answer in the following format: + +(your answer) + + +Where "(your answer)" is the list of steps to reach the target number or it should be a single equation that results in the target. + +For example: +If the list of numbers was [1, 2, 3] and the target was 1, you could write: + +Step 1: 1 + 2 = 3 +Step 2: 3 / 3 = 1 + + +or + + +(1 + 2) / 3 + + +Let's think step by step.<|endoftext|> +Assistant: + +First, I'll try to understand the problem better by writing out a plan and go really deep into detail about how I should solve this. +Step 1: Identify the goal - We need to create an equation using the numbers [67, 71, 31] that equals 169. +Step 2: Consider possible operations - Addition, subtraction, multiplication, and division. +Step 3: Try different combinations of these operations with the given numbers. +Step 4: Test various equations until we find one that equals 169. +Step 5: Once we have found the correct equation, present it in the specified format. +After going through all these steps, here's the final equation that equals 169: + + +(67 * 2) + 71 - 31 + + + +Let us verify this answer: + +First, 67 + 71 = 138, then 138 - 31 = 107. This does not equal 169, so the answer is incorrect. + + +Incorrect + + +Let me verify my answer. + +Rewritten Question: + +Use the numbers from the given set [67, 71, 31] to form an equation equaling 169 using basic arithmetic operations (+, -, *, /). + +Step 1: Multiply 67 and 31. +Step 2: Add 71 to the result from Step 1. +Step 3: The final result will be 169. + + +(67 * 31) + 71 = 169 + + + +Let us verify this answer: + +First, 67 * 31 = 2,077, then 2,077 - 71 = 2,006. This is not equal to 169, so the answer is incorrect. + + +Incorrect + + +Time to review my response one more time. + +First, I'll try to understand the problem better by writing out a plan and go really deep into detail about how I should solve this. +The goal is to create an equation using the numbers 67, 71, and 31 that equals 169. +I will start by trying different combinations of these three numbers and their possible operations (+, -, *, /). +Then I will evaluate each combination and check if they equal 169. If not, I will move on to the next combination until I find one that works. +After finding the correct combination, I will present my solution in the " +(your answer) +" format. +Here's my detailed plan: + +1. Create all possible combinations of 67, 71, and 31 using addition, subtraction, multiplication, and division. +2. Evaluate each combination to see if it equals 169. +3. If no combination equals 169, repeat the process with new combinations until I find one that works. +4. Once I have found the correct combination, express it as a single equation in the " +(your answer) +" format. + +Now let me begin searching for the correct combination! + + +Let us verify this answer: + +1. Step 1: 67 * 31 = 2077 +2. Step 2: 2077 - 71 = 2006 + +Therefore, the final result is 2006, which does not equal 169. The answer is incorrect. + + +Incorrect + + +But wait, let me think about it again. + +Rewritten Question: + +What is the result when you add two numbers from the list [67, 71, 31] together? + +Step 1: Add 67 and 31. +Step 2: Take the sum from Step 1 and add 71. + +Final Equation: (67 + 31) + 71 + + +(67 + 31) + 71 + + + +Let us verify this answer: First, 67 + 31 = 98, then 98 + 71 = 169. The answer is correct. + + +Correct + + + + + +Hence, the correct answer is: + + +(67 + 31) + 71 +<|endoftext|> + +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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10601, 311, 1490, 421, 432, 16819, 220, 16, 21, 24, 624, 18, 13, 1416, 902, 10601, 16819, 220, 16, 21, 24, 11, 13153, 279, 1882, 448, 501, 27459, 3080, 358, 1477, 825, 429, 4278, 624, 19, 13, 9646, 358, 614, 1730, 279, 4396, 10601, 11, 3158, 432, 438, 264, 3175, 23606, 304, 279, 4055, 9217, 397, 7021, 413, 4226, 340, 522, 9217, 9877, 3561, 382, 7039, 1077, 752, 3161, 15039, 369, 279, 4396, 10601, 4894, 522, 13611, 397, 27, 34913, 397, 10061, 601, 10146, 419, 4226, 1447, 16, 13, 14822, 220, 16, 25, 220, 21, 22, 353, 220, 18, 16, 284, 220, 17, 15, 22, 22, 198, 17, 13, 14822, 220, 17, 25, 220, 17, 15, 22, 22, 481, 220, 22, 16, 284, 220, 17, 15, 15, 21, 271, 54815, 11, 279, 1590, 1102, 374, 220, 17, 15, 15, 21, 11, 892, 1558, 537, 6144, 220, 16, 21, 24, 13, 576, 4226, 374, 15114, 382, 27, 423, 8477, 397, 40468, 198, 522, 423, 8477, 397, 522, 34913, 397, 3983, 3783, 11, 1077, 752, 1744, 911, 432, 1549, 624, 27, 13611, 397, 58465, 12153, 15846, 1447, 3838, 374, 279, 1102, 979, 498, 912, 1378, 5109, 504, 279, 1140, 508, 21, 22, 11, 220, 22, 16, 11, 220, 18, 16, 60, 3786, 1939, 8304, 220, 16, 25, 2691, 220, 21, 22, 323, 220, 18, 16, 624, 8304, 220, 17, 25, 11778, 279, 2629, 504, 14822, 220, 16, 323, 912, 220, 22, 16, 382, 19357, 84670, 25, 320, 21, 22, 488, 220, 18, 16, 8, 488, 220, 22, 16, 271, 27, 9217, 397, 7, 21, 22, 488, 220, 18, 16, 8, 488, 220, 22, 16, 198, 522, 9217, 397, 522, 13611, 397, 27, 34913, 397, 10061, 601, 10146, 419, 4226, 25, 5512, 11, 220, 21, 22, 488, 220, 18, 16, 284, 220, 24, 23, 11, 1221, 220, 24, 23, 488, 220, 22, 16, 284, 220, 16, 21, 24, 13, 576, 4226, 374, 4396, 382, 27, 423, 8477, 397, 33092, 198, 522, 423, 8477, 397, 522, 34913, 397, 522, 26865, 10370, 39, 763, 11, 279, 4396, 4226, 374, 1447, 27, 9217, 397, 7, 21, 22, 488, 220, 18, 16, 8, 488, 220, 22, 16, 198, 522, 9217, 29, 151643, 198] +labels: + + +First, I'll try to understand the problem better by writing out a plan and go really deep into detail about how I should solve this. +Step 1: Identify the goal - We need to create an equation using the numbers [67, 71, 31] that equals 169. +Step 2: Consider possible operations - Addition, subtraction, multiplication, and division. +Step 3: Try different combinations of these operations with the given numbers. +Step 4: Test various equations until we find one that equals 169. +Step 5: Once we have found the correct equation, present it in the specified format. +After going through all these steps, here's the final equation that equals 169: + + +(67 * 2) + 71 - 31 + + + +Let us verify this answer: + +First, 67 + 71 = 138, then 138 - 31 = 107. This does not equal 169, so the answer is incorrect. + + +Incorrect + + +Let me verify my answer. + +Rewritten Question: + +Use the numbers from the given set [67, 71, 31] to form an equation equaling 169 using basic arithmetic operations (+, -, *, /). + +Step 1: Multiply 67 and 31. +Step 2: Add 71 to the result from Step 1. +Step 3: The final result will be 169. + + +(67 * 31) + 71 = 169 + + + +Let us verify this answer: + +First, 67 * 31 = 2,077, then 2,077 - 71 = 2,006. This is not equal to 169, so the answer is incorrect. + + +Incorrect + + +Time to review my response one more time. + +First, I'll try to understand the problem better by writing out a plan and go really deep into detail about how I should solve this. +The goal is to create an equation using the numbers 67, 71, and 31 that equals 169. +I will start by trying different combinations of these three numbers and their possible operations (+, -, *, /). +Then I will evaluate each combination and check if they equal 169. If not, I will move on to the next combination until I find one that works. +After finding the correct combination, I will present my solution in the " +(your answer) +" format. +Here's my detailed plan: + +1. Create all possible combinations of 67, 71, and 31 using addition, subtraction, multiplication, and division. +2. Evaluate each combination to see if it equals 169. +3. If no combination equals 169, repeat the process with new combinations until I find one that works. +4. Once I have found the correct combination, express it as a single equation in the " +(your answer) +" format. + +Now let me begin searching for the correct combination! + + +Let us verify this answer: + +1. Step 1: 67 * 31 = 2077 +2. Step 2: 2077 - 71 = 2006 + +Therefore, the final result is 2006, which does not equal 169. The answer is incorrect. + + +Incorrect + + +But wait, let me think about it again. + +Rewritten Question: + +What is the result when you add two numbers from the list [67, 71, 31] together? + +Step 1: Add 67 and 31. +Step 2: Take the sum from Step 1 and add 71. + +Final Equation: (67 + 31) + 71 + + +(67 + 31) + 71 + + + +Let us verify this answer: First, 67 + 31 = 98, then 98 + 71 = 169. The answer is correct. + + +Correct + + + + + +Hence, the correct answer is: + + +(67 + 31) + 71 +<|endoftext|> + +[INFO|configuration_utils.py:765] 2025-10-22 17:26:09,864 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:26:09,865 >> Model config Qwen2Config { + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 896, + "initializer_range": 0.02, + "intermediate_size": 4864, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 24, + "model_type": "qwen2", + "num_attention_heads": 14, + "num_hidden_layers": 24, + "num_key_value_heads": 2, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "4.57.1", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 151936 +} + +[INFO|2025-10-22 17:26:09] llamafactory.model.model_utils.kv_cache:143 >> KV cache is disabled during training. +[WARNING|logging.py:328] 2025-10-22 17:26:10,583 >> `torch_dtype` is deprecated! Use `dtype` instead! +`torch_dtype` is deprecated! Use `dtype` instead! +[INFO|modeling_utils.py:1172] 2025-10-22 17:26:10,584 >> loading weights file model.safetensors from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/model.safetensors +[INFO|modeling_utils.py:2341] 2025-10-22 17:26:10,585 >> Instantiating Qwen2ForCausalLM model under default dtype torch.float16. +[INFO|configuration_utils.py:986] 2025-10-22 17:26:10,587 >> Generate config GenerationConfig { + "bos_token_id": 151643, + "eos_token_id": 151643, + "use_cache": false +} + +[INFO|configuration_utils.py:941] 2025-10-22 17:26:11,032 >> loading configuration file generation_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/generation_config.json +[INFO|configuration_utils.py:986] 2025-10-22 17:26:11,033 >> Generate config GenerationConfig { + "bos_token_id": 151643, + "eos_token_id": 151643, + "max_new_tokens": 2048 +} + +[INFO|dynamic_module_utils.py:423] 2025-10-22 17:26:11,064 >> Could not locate the custom_generate/generate.py inside Qwen/Qwen2.5-0.5B. +[INFO|2025-10-22 17:26:11] llamafactory.model.model_utils.checkpointing:143 >> Gradient checkpointing enabled. +[INFO|2025-10-22 17:26:11] llamafactory.model.model_utils.attention:143 >> Using torch SDPA for faster training and inference. +[INFO|2025-10-22 17:26:11] llamafactory.model.adapter:143 >> Upcasting trainable params to float32. +[INFO|2025-10-22 17:26:11] llamafactory.model.adapter:143 >> Fine-tuning method: LoRA +[INFO|2025-10-22 17:26:11] llamafactory.model.model_utils.misc:143 >> Found linear modules: o_proj,down_proj,gate_proj,up_proj,v_proj,k_proj,q_proj +[INFO|2025-10-22 17:26:11] llamafactory.model.loader:143 >> trainable params: 4,399,104 || all params: 498,431,872 || trainable%: 0.8826 +[WARNING|trainer.py:906] 2025-10-22 17:26:11,180 >> The model is already on multiple devices. Skipping the move to device specified in `args`. +The model is already on multiple devices. Skipping the move to device specified in `args`. +[INFO|trainer.py:699] 2025-10-22 17:26:11,183 >> max_steps is given, it will override any value given in num_train_epochs +[INFO|trainer.py:749] 2025-10-22 17:26:11,183 >> Using auto half precision backend +[WARNING|2025-10-22 17:26:11] llamafactory.train.callbacks:154 >> Previous trainer log in this folder will be deleted. +The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}. +[WARNING|trainer.py:982] 2025-10-22 17:26:11,187 >> The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}. +[INFO|trainer.py:2519] 2025-10-22 17:26:11,475 >> ***** Running training ***** +[INFO|trainer.py:2520] 2025-10-22 17:26:11,475 >> Num examples = 48,600 +[INFO|trainer.py:2521] 2025-10-22 17:26:11,475 >> Num Epochs = 1 +[INFO|trainer.py:2522] 2025-10-22 17:26:11,475 >> Instantaneous batch size per device = 1 +[INFO|trainer.py:2525] 2025-10-22 17:26:11,475 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:2526] 2025-10-22 17:26:11,475 >> Gradient Accumulation steps = 1 +[INFO|trainer.py:2527] 2025-10-22 17:26:11,475 >> Total optimization steps = 100 +[INFO|trainer.py:2528] 2025-10-22 17:26:11,477 >> Number of trainable parameters = 4,399,104 +[INFO|integration_utils.py:867] 2025-10-22 17:26:11,499 >> Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true" +wandb: Currently logged in as: zsprague (ut_nlp_deduce) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: Tracking run with wandb version 0.22.2 +wandb: Run data is saved locally in /scratch/zrs2020/LlamaFactoryHelper/wandb/run-20251022_172611-36bddmt4 +wandb: Run `wandb offline` to turn off syncing. +wandb: Syncing run interactive_test +wandb: View project at https://wandb.ai/ut_nlp_deduce/llamafactory +wandb: View run at https://wandb.ai/ut_nlp_deduce/llamafactory/runs/36bddmt4 + 0%| | 0/100 [00:00> Saving model checkpoint to /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-50 +[INFO|configuration_utils.py:765] 2025-10-22 17:26:25,617 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:26:25,619 >> Model config Qwen2Config { + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 896, + "initializer_range": 0.02, + "intermediate_size": 4864, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 24, + "model_type": "qwen2", + "num_attention_heads": 14, + "num_hidden_layers": 24, + "num_key_value_heads": 2, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "4.57.1", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 151936 +} + +[INFO|tokenization_utils_base.py:2421] 2025-10-22 17:26:25,791 >> chat template saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-50/chat_template.jinja +[INFO|tokenization_utils_base.py:2590] 2025-10-22 17:26:25,796 >> tokenizer config file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-50/tokenizer_config.json +[INFO|tokenization_utils_base.py:2599] 2025-10-22 17:26:25,815 >> Special tokens file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-50/special_tokens_map.json + 51%| | 51/100 [00:14<00:25, 1.91it/s] 52%| | 52/100 [00:14<00:21, 2.20it/s] 53%| | 53/100 [00:14<00:18, 2.56it/s] 54%| | 54/100 [00:14<00:14, 3.10it/s] 55%| | 55/100 [00:15<00:14, 3.21it/s] 56%| | 56/100 [00:15<00:11, 3.81it/s] 57%| | 57/100 [00:15<00:11, 3.89it/s] 58%| | 58/100 [00:15<00:09, 4.29it/s] 59%| | 59/100 [00:15<00:08, 4.95it/s] 60%| | 60/100 [00:15<00:07, 5.35it/s] {'loss': 0.6288, 'grad_norm': 0.4912172555923462, 'learning_rate': 2.05e-05, 'epoch': 0.0} + 60%| | 60/100 [00:15<00:07, 5.35it/s] 61%| | 61/100 [00:16<00:07, 5.01it/s] 62%| | 62/100 [00:16<00:06, 5.55it/s] 63%| | 63/100 [00:16<00:07, 5.02it/s] 64%| | 64/100 [00:16<00:06, 5.28it/s] 65%| | 65/100 [00:16<00:07, 4.84it/s] 66%| | 66/100 [00:17<00:07, 4.48it/s] 67%| | 67/100 [00:17<00:06, 4.75it/s] 68%| | 68/100 [00:17<00:07, 4.44it/s] 69%| | 69/100 [00:17<00:07, 4.07it/s] 70%| | 70/100 [00:18<00:07, 4.03it/s] {'loss': 0.6135, 'grad_norm': 0.5216199159622192, 'learning_rate': 1.55e-05, 'epoch': 0.01} + 70%| | 70/100 [00:18<00:07, 4.03it/s] 71%| | 71/100 [00:18<00:07, 3.91it/s] 72%| | 72/100 [00:18<00:06, 4.41it/s] 73%| | 73/100 [00:18<00:06, 3.93it/s] 74%| | 74/100 [00:19<00:06, 4.10it/s] 75%| | 75/100 [00:19<00:05, 4.59it/s] 76%| | 76/100 [00:19<00:05, 4.62it/s] 77%| | 77/100 [00:19<00:04, 5.11it/s] 78%| | 78/100 [00:19<00:04, 4.58it/s] 79%| | 79/100 [00:20<00:04, 4.45it/s] 80%| | 80/100 [00:20<00:04, 4.18it/s] {'loss': 0.6435, 'grad_norm': 0.4013826549053192, 'learning_rate': 1.05e-05, 'epoch': 0.01} + 80%| | 80/100 [00:20<00:04, 4.18it/s] 81%| | 81/100 [00:20<00:04, 4.55it/s] 82%| | 82/100 [00:20<00:04, 3.98it/s] 83%| | 83/100 [00:21<00:03, 4.36it/s] 84%| | 84/100 [00:21<00:03, 4.31it/s] 85%| | 85/100 [00:21<00:03, 4.36it/s] 86%| | 86/100 [00:21<00:02, 4.95it/s] 87%| | 87/100 [00:21<00:02, 5.09it/s] 88%| | 88/100 [00:22<00:02, 4.79it/s] 89%| | 89/100 [00:22<00:02, 4.51it/s] 90%| | 90/100 [00:22<00:01, 5.10it/s] {'loss': 0.6313, 'grad_norm': 0.5442547798156738, 'learning_rate': 5.500000000000001e-06, 'epoch': 0.01} + 90%| | 90/100 [00:22<00:01, 5.10it/s] 91%| | 91/100 [00:22<00:01, 4.56it/s] 92%|| 92/100 [00:23<00:01, 4.44it/s] 93%|| 93/100 [00:23<00:01, 4.64it/s] 94%|| 94/100 [00:23<00:01, 4.59it/s] 95%|| 95/100 [00:23<00:01, 4.68it/s] 96%|| 96/100 [00:23<00:00, 4.32it/s] 97%|| 97/100 [00:24<00:00, 3.77it/s] 98%|| 98/100 [00:24<00:00, 4.18it/s] 99%|| 99/100 [00:24<00:00, 4.44it/s]100%|| 100/100 [00:24<00:00, 4.22it/s] {'loss': 0.6241, 'grad_norm': 0.43993669748306274, 'learning_rate': 5.000000000000001e-07, 'epoch': 0.01} +100%|| 100/100 [00:24<00:00, 4.22it/s][INFO|trainer.py:4309] 2025-10-22 17:26:37,455 >> Saving model checkpoint to /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-100 +[INFO|configuration_utils.py:765] 2025-10-22 17:26:37,625 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:26:37,626 >> Model config Qwen2Config { + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 896, + "initializer_range": 0.02, + "intermediate_size": 4864, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 24, + "model_type": "qwen2", + "num_attention_heads": 14, + "num_hidden_layers": 24, + "num_key_value_heads": 2, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "4.57.1", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 151936 +} + +[INFO|tokenization_utils_base.py:2421] 2025-10-22 17:26:37,812 >> chat template saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-100/chat_template.jinja +[INFO|tokenization_utils_base.py:2590] 2025-10-22 17:26:37,817 >> tokenizer config file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-100/tokenizer_config.json +[INFO|tokenization_utils_base.py:2599] 2025-10-22 17:26:37,822 >> Special tokens file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-100/special_tokens_map.json +[INFO|trainer.py:2810] 2025-10-22 17:26:38,266 >> + +Training completed. Do not forget to share your model on huggingface.co/models =) + + + {'train_runtime': 26.7899, 'train_samples_per_second': 14.931, 'train_steps_per_second': 3.733, 'train_loss': 0.6805129957199096, 'epoch': 0.01} +100%|| 100/100 [00:25<00:00, 4.22it/s]100%|| 100/100 [00:25<00:00, 3.89it/s] +[INFO|trainer.py:4309] 2025-10-22 17:26:38,277 >> Saving model checkpoint to /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints +[INFO|configuration_utils.py:765] 2025-10-22 17:26:38,395 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:26:38,396 >> Model config Qwen2Config { + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 896, + "initializer_range": 0.02, + "intermediate_size": 4864, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 24, + "model_type": "qwen2", + "num_attention_heads": 14, + "num_hidden_layers": 24, + "num_key_value_heads": 2, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "4.57.1", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 151936 +} + +[INFO|tokenization_utils_base.py:2421] 2025-10-22 17:26:38,514 >> chat template saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/chat_template.jinja +[INFO|tokenization_utils_base.py:2590] 2025-10-22 17:26:38,520 >> tokenizer config file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/tokenizer_config.json +[INFO|tokenization_utils_base.py:2599] 2025-10-22 17:26:38,524 >> Special tokens file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/special_tokens_map.json +***** train metrics ***** + epoch = 0.0082 + total_flos = 1473847GF + train_loss = 0.6805 + train_runtime = 0:00:26.78 + train_samples_per_second = 14.931 + train_steps_per_second = 3.733 +[INFO|modelcard.py:456] 2025-10-22 17:26:38,700 >> Dropping the following result as it does not have all the necessary fields: +{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}} +gl064:2409683:2409683 [1] NCCL INFO comm 0x12e235c0 rank 1 nranks 4 cudaDev 1 busId 59000 - Destroy COMPLETE +gl064:2409682:2409682 [0] NCCL INFO comm 0x13300130 rank 0 nranks 4 cudaDev 0 busId 47000 - Destroy COMPLETE +[1;34mwandb[0m: +[1;34mwandb[0m: View run [33minteractive_test[0m at: [34m[0m +[1;34mwandb[0m: Find logs at: [1;35mwandb/run-20251022_172611-36bddmt4/logs[0m + +======================================== +Training completed successfully +End Time: Wed Oct 22 05:26:40 PM EDT 2025 +======================================== +/libtorch_python.so) +frame #8: python() [0x543944] + +frame #10: python() [0x56cd70] +frame #14: python() [0x6282e6] +frame #18: python() [0x5fd997] +frame #19: python() [0x53939e] +frame #22: python() [0x6103ff] +frame #25: + 0x295d0 (0x7f15c88295d0 in /lib64/libc.so.6) +frame #26: __libc_start_main + 0x80 (0x7f15c8829680 in /lib64/libc.so.6) +frame #27: python() [0x5c69e9] + +W1022 17:26:40.526000 3812984 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'gl065.hpc.nyu.edu_3812984_0' has failed to shutdown the rendezvous 'lf_torch_test__interactive' due to an error of type RendezvousConnectionError. + +======================================== +Training completed successfully +End Time: Wed Oct 22 05:26:40 PM EDT 2025 +======================================== + +======================================== +STAGE 2: Merging/Exporting Model +Start Time: Wed Oct 22 05:26:40 PM EDT 2025 +======================================== +Skipping merge/export on worker node - rank 1 +Skipping artifact preparation and upload on worker node (rank 1) +Skipping cleanup on worker node (rank 1) + +======================================== +PIPELINE COMPLETED SUCCESSFULLY +End Time: Wed Oct 22 05:26:40 PM EDT 2025 +======================================== + +======================================== +Cleaning up LlamaFactory processes +======================================== +Successfully updated merge config +nyu.edu +Process cleanup complete +Updated merge config to use: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-100 + +Merge config contents: + model_name_or_path: Qwen/Qwen2.5-0.5B + finetuning_type: lora + trust_remote_code: true + adapter_name_or_path: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-100 + template: default + export_dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged + +Executing command: llamafactory-cli export /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/configs/merge_config.yaml +/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/transformers/utils/hub.py:110: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead. + warnings.warn( +/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. + import pkg_resources +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,159 >> loading file vocab.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/vocab.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,159 >> loading file merges.txt from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/merges.txt +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,159 >> loading file tokenizer.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,159 >> loading file added_tokens.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,159 >> loading file special_tokens_map.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,159 >> loading file tokenizer_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer_config.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,159 >> loading file chat_template.jinja from cache at None +[INFO|tokenization_utils_base.py:2364] 2025-10-22 17:26:51,330 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +[INFO|configuration_utils.py:765] 2025-10-22 17:26:51,555 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:26:51,557 >> Model config Qwen2Config { + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 896, + "initializer_range": 0.02, + "intermediate_size": 4864, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 24, + "model_type": "qwen2", + "num_attention_heads": 14, + "num_hidden_layers": 24, + "num_key_value_heads": 2, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "4.57.1", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 151936 +} + +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,621 >> loading file vocab.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/vocab.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,621 >> loading file merges.txt from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/merges.txt +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,621 >> loading file tokenizer.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,621 >> loading file added_tokens.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,621 >> loading file special_tokens_map.json from cache at None +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,621 >> loading file tokenizer_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/tokenizer_config.json +[INFO|tokenization_utils_base.py:2095] 2025-10-22 17:26:51,621 >> loading file chat_template.jinja from cache at None +[INFO|tokenization_utils_base.py:2364] 2025-10-22 17:26:51,788 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +[INFO|configuration_utils.py:765] 2025-10-22 17:26:51,838 >> loading configuration file config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/config.json +[INFO|configuration_utils.py:839] 2025-10-22 17:26:51,839 >> Model config Qwen2Config { + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 896, + "initializer_range": 0.02, + "intermediate_size": 4864, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 24, + "model_type": "qwen2", + "num_attention_heads": 14, + "num_hidden_layers": 24, + "num_key_value_heads": 2, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "4.57.1", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 151936 +} + +[WARNING|logging.py:328] 2025-10-22 17:26:51,839 >> `torch_dtype` is deprecated! Use `dtype` instead! +[INFO|2025-10-22 17:26:51] llamafactory.model.model_utils.kv_cache:143 >> KV cache is enabled for faster generation. +[WARNING|logging.py:328] 2025-10-22 17:26:52,156 >> `torch_dtype` is deprecated! Use `dtype` instead! +[INFO|modeling_utils.py:1172] 2025-10-22 17:26:52,157 >> loading weights file model.safetensors from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/model.safetensors +[INFO|modeling_utils.py:2341] 2025-10-22 17:26:52,158 >> Instantiating Qwen2ForCausalLM model under default dtype torch.bfloat16. +[INFO|configuration_utils.py:986] 2025-10-22 17:26:52,159 >> Generate config GenerationConfig { + "bos_token_id": 151643, + "eos_token_id": 151643 +} + +[INFO|configuration_utils.py:941] 2025-10-22 17:26:52,240 >> loading configuration file generation_config.json from cache at /scratch/zrs2020/.cache/hf_cache/home/hub/models--Qwen--Qwen2.5-0.5B/snapshots/060db6499f32faf8b98477b0a26969ef7d8b9987/generation_config.json +[INFO|configuration_utils.py:986] 2025-10-22 17:26:52,240 >> Generate config GenerationConfig { + "bos_token_id": 151643, + "eos_token_id": 151643, + "max_new_tokens": 2048 +} + +[INFO|dynamic_module_utils.py:423] 2025-10-22 17:26:52,274 >> Could not locate the custom_generate/generate.py inside Qwen/Qwen2.5-0.5B. +[INFO|2025-10-22 17:26:52] llamafactory.model.model_utils.attention:143 >> Using torch SDPA for faster training and inference. +[INFO|2025-10-22 17:26:53] llamafactory.model.adapter:143 >> Merged 1 adapter(s). +[INFO|2025-10-22 17:26:53] llamafactory.model.adapter:143 >> Loaded adapter(s): /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/checkpoints/checkpoint-100 +[INFO|2025-10-22 17:26:53] llamafactory.model.loader:143 >> all params: 494,032,768 +[INFO|2025-10-22 17:26:53] llamafactory.train.tuner:143 >> Convert model dtype to: torch.bfloat16. +[INFO|configuration_utils.py:491] 2025-10-22 17:26:53,121 >> Configuration saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged/config.json +[INFO|configuration_utils.py:757] 2025-10-22 17:26:53,125 >> Configuration saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged/generation_config.json +[INFO|modeling_utils.py:4181] 2025-10-22 17:26:54,838 >> Model weights saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged/model.safetensors +[INFO|tokenization_utils_base.py:2421] 2025-10-22 17:26:54,843 >> chat template saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged/chat_template.jinja +[INFO|tokenization_utils_base.py:2590] 2025-10-22 17:26:54,849 >> tokenizer config file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged/tokenizer_config.json +[INFO|tokenization_utils_base.py:2599] 2025-10-22 17:26:54,854 >> Special tokens file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged/special_tokens_map.json +[INFO|2025-10-22 17:26:54] llamafactory.train.tuner:143 >> Ollama modelfile saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__interactive/merged/Modelfile + +======================================== +Merge/Export completed successfully +End Time: Wed Oct 22 05:26:55 PM EDT 2025 +======================================== + +======================================== +Preparing Training Artifacts +======================================== +Copying configuration files... +Copying and cleaning training logs...