Upload folder using huggingface_hub

.gitattributes

@@ -1,36 +1,8 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
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-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Mark all log files as text to prevent binary file issues
+*.log text
+*.txt text
+*.out text
+*.err text
+training_artifacts/logs/* text
+model.safetensors filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text

model.safetensors

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 size 988097824

training_artifacts/README.md

@@ -0,0 +1,16 @@
+# Training Artifacts
+
+This directory contains the training configuration and logs for this model.
+
+## Contents
+
+- **hydra_config.yaml**: Complete Hydra configuration used for training
+- **train_config.yaml**: LlamaFactory training configuration
+- **merge_config.yaml**: LlamaFactory merge/export configuration
+- **logs/**: Training logs from the job (cleaned for text format)
+
+## Job Information
+
+- Job Name: lf_torch_test__local
+- Timestamp: 2025-10-22 20:16:21 UTC
+- Execution Mode: Local

training_artifacts/hydra_config.yaml

@@ -0,0 +1,216 @@
+? ''
+: ? ''
+  : ? ''
+    : hydra:
+        run:
+          dir: .
+        output_subdir: null
+        job:
+          chdir: false
+      _target_: null
+      job:
+        name: ???
+        mode: slurm
+        work_dir: null
+        dry_run: false
+      slurm:
+        time_limit: ???
+        constraint:
+        - h200
+        memory: 200
+        cpus_per_task: 16
+        partition: null
+        mail_user: user@example.com
+      execution:
+        nodes: null
+        gpus_per_node: null
+        num_gpus: null
+        hostfile: null
+        secrets_file: null
+      model:
+        name_or_path: ???
+        finetuning_type: lora
+      dataset:
+        name: ???
+        dir: null
+        info_json: null
+        template: default
+        cutoff_len: 1024
+        val_size: 0.1
+        hf_hub_url: null
+        formatting: alpaca
+        ranking: false
+        subset: null
+        split: train
+        folder: null
+        num_samples: null
+        columns:
+          prompt: null
+          query: null
+          response: null
+          history: null
+          messages: null
+          system: null
+          tools: null
+          images: null
+          videos: null
+          audios: null
+          chosen: null
+          rejected: null
+          kto_tag: null
+        tags:
+          role: null
+          content: null
+          user: null
+          assistant: null
+          observation: null
+          function: null
+          system: null
+      training:
+        stage: sft
+        do_train: true
+        model_name_or_path: null
+        finetuning_type: lora
+        trust_remote_code: true
+        dataset: null
+        dataset_dir: null
+        template: default
+        cutoff_len: 1024
+        val_size: 0.1
+        preprocessing_num_workers: 1
+        dataset_num_proc: 1
+        dataloader_num_workers: 0
+        streaming: false
+        learning_rate: 5.0e-05
+        num_train_epochs: 3.0
+        per_device_train_batch_size: 1
+        per_device_eval_batch_size: 1
+        gradient_accumulation_steps: 8
+        lr_scheduler_type: cosine
+        warmup_ratio: 0.1
+        warmup_steps: 0
+        lora_rank: 8
+        lora_alpha: 16
+        lora_dropout: 0.05
+        lora_target: all
+        optim: adamw_torch
+        bf16: true
+        fp16: false
+        output_dir: null
+        save_strategy: epoch
+        save_steps: 500
+        save_total_limit: 3
+        save_only_model: false
+        eval_strategy: steps
+        eval_steps: 500
+        do_eval: true
+        logging_steps: 10
+        plot_loss: true
+        report_to: none
+        gradient_checkpointing: true
+        ddp_timeout: 180000000
+        include_num_input_tokens_seen: true
+        overwrite_output_dir: true
+        overwrite_cache: false
+        seed: 42
+      lora:
+        rank: 8
+        alpha: 16
+        dropout: 0.05
+        target: all
+      output:
+        experiment_dir: ./experiments
+      merge:
+        stage: export
+        model_name_or_path: null
+        adapter_name_or_path: null
+        template: default
+        export_dir: null
+        export_size: 2
+        export_device: auto
+        export_legacy_format: false
+        finetuning_type: lora
+      wandb:
+        project: null
+        run_name: null
+        entity: null
+      hf:
+        repo_id: null
+        private: false
+        upload_artifacts: true
+      cleanup:
+        checkpoints: false
+        merged: false
+job:
+  name: lf_torch_test__local
+  mode: local
+  work_dir: null
+  dry_run: false
+slurm:
+  time_limit: null
+  constraint: null
+  memory: null
+  partition: null
+  mail_user: null
+execution:
+  nodes: 1
+  gpus_per_node: 2
+  num_gpus: null
+  hostfile: null
+  secrets_file: ./secrets.env
+model:
+  name_or_path: Qwen/Qwen2.5-0.5B
+  finetuning_type: lora
+lora:
+  rank: 8
+  alpha: 16
+  dropout: 0.05
+  target: all
+dataset:
+  name: my_custom_sft
+  dir: null
+  info_json: null
+  template: default
+  cutoff_len: 8096
+  val_size: 0.1
+  hf_hub_url: TAUR-dev/D-SFT_C-sft_exp_AT_pvv2__fixed-sft-data
+  formatting: sharegpt
+  ranking: false
+  subset: null
+  split: train
+  folder: null
+  num_samples: null
+  columns:
+    messages: conversations
+  tags:
+    role: role
+    content: content
+    user: user
+    assistant: assistant
+output:
+  experiment_dir: ./experiments
+wandb:
+  project: null
+  run_name: local_test
+  entity: null
+hf:
+  repo_id: TAUR-dev/testing_llamafactory_helper_quick_test__local
+  private: false
+cleanup:
+  checkpoints: false
+  merged: false
+training:
+  stage: sft
+  do_train: true
+  max_steps: 100
+  do_eval: false
+  save_strategy: steps
+  save_steps: 50
+  logging_steps: 10
+  fp16: true
+  bf16: false
+  overwrite_output_dir: true
+  per_device_train_batch_size: 1
+  gradient_accumulation_steps: 1
+  gradient_checkpointing: true
+merge: {}

training_artifacts/logs/pipeline_cleaned.txt

@@ -0,0 +1,974 @@
+========================================
+Job Name: lf_torch_test__local
+Hostname: gl064.hpc.nyu.edu
+Number of nodes: 1
+GPUs per node: 2
+Start Time: Wed Oct 22 04:15:08 PM EDT 2025
+Log file: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/logs/pipeline.log
+========================================
+Sourcing secrets from: /scratch/zrs2020/LlamaFactoryHelper/secrets.env
+
+========================================
+Configuration Paths
+========================================
+Train Config: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/configs/train_config.yaml
+Merge Config: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/configs/merge_config.yaml
+Dataset Info: 
+Output Dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints
+Export Dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged
+HF Repo ID: TAUR-dev/testing_llamafactory_helper_quick_test__local
+
+
+========================================
+STAGE 1: Training Model
+Start Time: Wed Oct 22 04:15:10 PM EDT 2025
+========================================
+Single-node multi-GPU training detected
+GPUs: 2
+CUDA_VISIBLE_DEVICES: 0,1
+Executing command: llamafactory-cli train /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/configs/train_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(
+[INFO|2025-10-22 16:15:19] llamafactory.launcher:143 >> Initializing 2 distributed tasks at: 127.0.0.1:45183
+W1022 16:15:20.576000 2375530 site-packages/torch/distributed/run.py:803] 
+W1022 16:15:20.576000 2375530 site-packages/torch/distributed/run.py:803] *****************************************
+W1022 16:15:20.576000 2375530 site-packages/torch/distributed/run.py:803] 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. 
+W1022 16:15:20.576000 2375530 site-packages/torch/distributed/run.py:803] *****************************************
+/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
+[W1022 16:15:28.663709296 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator())
+[W1022 16:15:28.663713666 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator())
+[INFO|2025-10-22 16:15:29] llamafactory.hparams.parser:143 >> Set `ddp_find_unused_parameters` to False in DDP training since LoRA is enabled.
+[INFO|2025-10-22 16:15:29] llamafactory.hparams.parser:423 >> Process rank: 0, world size: 2, device: cuda:0, distributed training: True, compute dtype: torch.float16
+[INFO|2025-10-22 16:15:29] llamafactory.hparams.parser:423 >> Process rank: 1, world size: 2, device: cuda:1, distributed training: True, compute dtype: torch.float16
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:15:29,285 >> 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 16:15:29,285 >> 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 16:15:29,285 >> 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 16:15:29,285 >> loading file added_tokens.json from cache at None
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:15:29,285 >> loading file special_tokens_map.json from cache at None
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:15:29,285 >> 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 16:15:29,285 >> loading file chat_template.jinja from cache at None
+[INFO|tokenization_utils_base.py:2364] 2025-10-22 16:15:29,463 >> 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 16:15:29,648 >> 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 16:15:29,650 >> 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 16:15:29,728 >> 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 16:15:29,728 >> 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 16:15:29,728 >> 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 16:15:29,728 >> loading file added_tokens.json from cache at None
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:15:29,728 >> loading file special_tokens_map.json from cache at None
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:15:29,728 >> 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 16:15:29,728 >> loading file chat_template.jinja from cache at None
+[INFO|tokenization_utils_base.py:2364] 2025-10-22 16:15:29,901 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
+[INFO|2025-10-22 16:15:29] llamafactory.data.loader:143 >> Loading dataset TAUR-dev/D-SFT_C-sft_exp_AT_pvv2__fixed-sft-data...
+/scratch/zrs2020/miniconda/miniconda3/envs/llamafactory/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4876: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  warnings.warn(  # warn only once
+[rank0]:[W1022 16:15:30.381306010 ProcessGroupNCCL.cpp:5068] Guessing device ID based on global rank. This can cause a hang if rank to GPU mapping is heterogeneous. You can specify device_id in init_process_group()
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+gl064:2375557:2375626 [0] NCCL INFO P2P Chunksize set to 131072
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+gl064:2375557:2375626 [0] NCCL INFO PROFILER/Plugin: Could not find: libnccl-profiler.so. 
+gl064:2375557:2375626 [0] NCCL INFO Check P2P Type isAllDirectP2p 0 directMode 0
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+gl064:2375557:2375636 [0] NCCL INFO [Proxy Service UDS] Device 0 CPU core 13
+gl064:2375558:2375627 [1] NCCL INFO threadThresholds 8/8/64 | 16/8/64 | 512 | 512
+gl064:2375558:2375627 [1] NCCL INFO 2 coll channels, 2 collnet channels, 0 nvls channels, 2 p2p channels, 2 p2p channels per peer
+gl064:2375557:2375626 [0] NCCL INFO threadThresholds 8/8/64 | 16/8/64 | 512 | 512
+gl064:2375557:2375626 [0] NCCL INFO 2 coll channels, 2 collnet channels, 0 nvls channels, 2 p2p channels, 2 p2p channels per peer
+gl064:2375557:2375626 [0] NCCL INFO CC Off, workFifoBytes 1048576
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+gl064:2375558:2375627 [1] NCCL INFO ncclCommInitRankConfig comm 0x13fbbf20 rank 1 nranks 2 cudaDev 1 nvmlDev 1 busId 59000 commId 0x51d04234087668e3 - Init COMPLETE
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+gl064:2375557:2375626 [0] NCCL INFO ncclCommInitRankConfig comm 0x13ebaba0 rank 0 nranks 2 cudaDev 0 nvmlDev 0 busId 47000 commId 0x51d04234087668e3 - Init COMPLETE
+gl064:2375558:2375627 [1] NCCL INFO Init timings - ncclCommInitRankConfig: rank 1 nranks 2 total 0.12 (kernels 0.09, alloc 0.01, bootstrap 0.00, allgathers 0.01, topo 0.02, graphs 0.00, connections 0.00, rest 0.00)
+gl064:2375557:2375626 [0] NCCL INFO Init timings - ncclCommInitRankConfig: rank 0 nranks 2 total 0.12 (kernels 0.09, alloc 0.01, bootstrap 0.01, allgathers 0.00, topo 0.02, graphs 0.00, connections 0.00, rest 0.00)
+gl064:2375557:2375637 [0] NCCL INFO Channel 00 : 0[0] -> 1[1] via SHM/direct/direct
+gl064:2375558:2375638 [1] NCCL INFO Channel 00 : 1[1] -> 0[0] via SHM/direct/direct
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+gl064:2375558:2375638 [1] NCCL INFO Channel 01 : 1[1] -> 0[0] via SHM/direct/direct
+gl064:2375557:2375637 [0] NCCL INFO Connected all rings, use ring PXN 0 GDR 1
+gl064:2375558:2375638 [1] NCCL INFO Connected all rings, use ring PXN 0 GDR 1
+training example:
+input_ids:
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+inputs:
+Human: Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</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:
+<answer>
+(your answer)
+</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:
+<answer>
+Step 1: 1 + 2 = 3
+Step 2: 3 / 3 = 1
+</answer>
+
+or 
+
+<answer>
+(1 + 2) / 3
+</answer>
+
+Let's think step by step.<|endoftext|>
+Assistant:<think>
+<sample>
+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:
+
+<answer>
+(67 * 2) + 71 - 31
+</answer>
+</sample>
+<reflect>
+Let us verify this answer:
+
+First, 67 + 71 = 138, then 138 - 31 = 107. This does not equal 169, so the answer is incorrect.
+
+<verdict>
+Incorrect
+</verdict>
+</reflect>
+Let me verify my answer.
+<sample>
+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.
+
+<answer>
+(67 * 31) + 71 = 169
+</answer>
+</sample>
+<reflect>
+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.
+
+<verdict>
+Incorrect
+</verdict>
+</reflect>
+Time to review my response one more time.
+<sample>
+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 "<answer>
+(your answer)
+</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 "<answer>
+(your answer)
+</answer>" format.
+
+Now let me begin searching for the correct combination!
+</sample>
+<reflect>
+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.
+
+<verdict>
+Incorrect
+</verdict>
+</reflect>
+But wait, let me think about it again.
+<sample>
+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
+
+<answer>
+(67 + 31) + 71
+</answer>
+</sample>
+<reflect>
+Let us verify this answer: First, 67 + 31 = 98, then 98 + 71 = 169. The answer is correct.
+
+<verdict>
+Correct
+</verdict>
+</reflect>
+</think>
+
+
+Hence, the correct answer is:
+
+<answer>
+(67 + 31) + 71
+</answer><|endoftext|>
+
+label_ids:
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264, 3119, 323, 728, 2167, 5538, 1119, 7716, 911, 1246, 358, 1265, 11625, 419, 624, 785, 5795, 374, 311, 1855, 458, 23606, 1667, 279, 5109, 220, 21, 22, 11, 220, 22, 16, 11, 323, 220, 18, 16, 429, 16819, 220, 16, 21, 24, 624, 40, 686, 1191, 553, 4460, 2155, 27459, 315, 1493, 2326, 5109, 323, 862, 3204, 7525, 17973, 11, 85922, 11777, 608, 568, 715, 12209, 358, 686, 15442, 1817, 10601, 323, 1779, 421, 807, 6144, 220, 16, 21, 24, 13, 1416, 537, 11, 358, 686, 3271, 389, 311, 279, 1790, 10601, 3080, 358, 1477, 825, 429, 4278, 624, 6025, 9271, 279, 4396, 10601, 11, 358, 686, 3042, 847, 6291, 304, 279, 4055, 9217, 397, 7021, 413, 4226, 340, 522, 9217, 9877, 3561, 624, 8420, 594, 847, 11682, 3119, 1447, 16, 13, 4230, 678, 3204, 27459, 315, 220, 21, 22, 11, 220, 22, 16, 11, 323, 220, 18, 16, 1667, 5256, 11, 75240, 11, 46444, 11, 323, 12804, 624, 17, 13, 54115, 1817, 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, 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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:
+<think>
+<sample>
+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:
+
+<answer>
+(67 * 2) + 71 - 31
+</answer>
+</sample>
+<reflect>
+Let us verify this answer:
+
+First, 67 + 71 = 138, then 138 - 31 = 107. This does not equal 169, so the answer is incorrect.
+
+<verdict>
+Incorrect
+</verdict>
+</reflect>
+Let me verify my answer.
+<sample>
+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.
+
+<answer>
+(67 * 31) + 71 = 169
+</answer>
+</sample>
+<reflect>
+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.
+
+<verdict>
+Incorrect
+</verdict>
+</reflect>
+Time to review my response one more time.
+<sample>
+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 "<answer>
+(your answer)
+</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 "<answer>
+(your answer)
+</answer>" format.
+
+Now let me begin searching for the correct combination!
+</sample>
+<reflect>
+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.
+
+<verdict>
+Incorrect
+</verdict>
+</reflect>
+But wait, let me think about it again.
+<sample>
+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
+
+<answer>
+(67 + 31) + 71
+</answer>
+</sample>
+<reflect>
+Let us verify this answer: First, 67 + 31 = 98, then 98 + 71 = 169. The answer is correct.
+
+<verdict>
+Correct
+</verdict>
+</reflect>
+</think>
+
+
+Hence, the correct answer is:
+
+<answer>
+(67 + 31) + 71
+</answer><|endoftext|>
+
+[INFO|configuration_utils.py:765] 2025-10-22 16:15:31,324 >> 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 16:15:31,325 >> 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 16:15:31] 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 16:15:31,920 >> `torch_dtype` is deprecated! Use `dtype` instead!
+[INFO|modeling_utils.py:1172] 2025-10-22 16:15:31,920 >> 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 16:15:31,921 >> Instantiating Qwen2ForCausalLM model under default dtype torch.float16.
+[INFO|configuration_utils.py:986] 2025-10-22 16:15:31,922 >> Generate config GenerationConfig {
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "use_cache": false
+}
+
+[INFO|configuration_utils.py:941] 2025-10-22 16:15:32,220 >> 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 16:15:32,220 >> Generate config GenerationConfig {
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048
+}
+
+[INFO|dynamic_module_utils.py:423] 2025-10-22 16:15:32,250 >> Could not locate the custom_generate/generate.py inside Qwen/Qwen2.5-0.5B.
+[INFO|2025-10-22 16:15:32] llamafactory.model.model_utils.checkpointing:143 >> Gradient checkpointing enabled.
+[INFO|2025-10-22 16:15:32] llamafactory.model.model_utils.attention:143 >> Using torch SDPA for faster training and inference.
+[INFO|2025-10-22 16:15:32] llamafactory.model.adapter:143 >> Upcasting trainable params to float32.
+[INFO|2025-10-22 16:15:32] llamafactory.model.adapter:143 >> Fine-tuning method: LoRA
+[INFO|2025-10-22 16:15:32] llamafactory.model.model_utils.misc:143 >> Found linear modules: up_proj,down_proj,k_proj,v_proj,o_proj,q_proj,gate_proj
+[INFO|2025-10-22 16:15:32] llamafactory.model.loader:143 >> trainable params: 4,399,104 || all params: 498,431,872 || trainable%: 0.8826
+[WARNING|trainer.py:906] 2025-10-22 16:15:32,491 >> The model is already on multiple devices. Skipping the move to device specified in `args`.
+[INFO|trainer.py:699] 2025-10-22 16:15:32,493 >> max_steps is given, it will override any value given in num_train_epochs
+[INFO|trainer.py:749] 2025-10-22 16:15:32,494 >> Using auto half precision backend
+[WARNING|trainer.py:982] 2025-10-22 16:15:32,495 >> 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}.
+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|trainer.py:2519] 2025-10-22 16:15:32,991 >> ***** Running training *****
+[INFO|trainer.py:2520] 2025-10-22 16:15:32,991 >>   Num examples = 48,600
+[INFO|trainer.py:2521] 2025-10-22 16:15:32,991 >>   Num Epochs = 1
+[INFO|trainer.py:2522] 2025-10-22 16:15:32,991 >>   Instantaneous batch size per device = 1
+[INFO|trainer.py:2525] 2025-10-22 16:15:32,991 >>   Total train batch size (w. parallel, distributed & accumulation) = 2
+[INFO|trainer.py:2526] 2025-10-22 16:15:32,991 >>   Gradient Accumulation steps = 1
+[INFO|trainer.py:2527] 2025-10-22 16:15:32,991 >>   Total optimization steps = 100
+[INFO|trainer.py:2528] 2025-10-22 16:15:32,993 >>   Number of trainable parameters = 4,399,104
+[INFO|integration_utils.py:867] 2025-10-22 16:15:33,007 >> 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_161533-ad6e8c8u
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run local_test
+wandb:  View project at https://wandb.ai/ut_nlp_deduce/llamafactory
+wandb:  View run at https://wandb.ai/ut_nlp_deduce/llamafactory/runs/ad6e8c8u
+  0%|          | 0/100 [00:00<?, ?it/s]  1%|          | 1/100 [00:00<01:05,  1.50it/s]  2%|         | 2/100 [00:00<00:36,  2.70it/s]  3%|         | 3/100 [00:00<00:25,  3.87it/s]  4%|         | 4/100 [00:01<00:21,  4.54it/s]  5%|         | 5/100 [00:01<00:18,  5.05it/s]  6%|         | 6/100 [00:01<00:17,  5.47it/s]  7%|         | 7/100 [00:01<00:23,  4.03it/s]  8%|         | 8/100 [00:01<00:20,  4.50it/s]  9%|         | 9/100 [00:02<00:21,  4.14it/s] 10%|         | 10/100 [00:02<00:21,  4.12it/s]                                                {'loss': 0.8368, 'grad_norm': 0.47585323452949524, 'learning_rate': 4.55e-05, 'epoch': 0.0}
+ 10%|         | 10/100 [00:02<00:21,  4.12it/s] 11%|         | 11/100 [00:02<00:19,  4.62it/s] 12%|        | 12/100 [00:03<00:27,  3.14it/s] 13%|        | 13/100 [00:03<00:24,  3.48it/s] 14%|        | 14/100 [00:03<00:23,  3.60it/s] 15%|        | 15/100 [00:03<00:21,  3.88it/s] 16%|        | 16/100 [00:04<00:18,  4.54it/s] 17%|        | 17/100 [00:04<00:16,  5.05it/s] 18%|        | 18/100 [00:04<00:21,  3.74it/s] 19%|        | 19/100 [00:04<00:19,  4.16it/s] 20%|        | 20/100 [00:04<00:16,  4.80it/s]                                                {'loss': 0.7707, 'grad_norm': 0.6054973602294922, 'learning_rate': 4.05e-05, 'epoch': 0.0}
+ 20%|        | 20/100 [00:04<00:16,  4.80it/s] 21%|        | 21/100 [00:05<00:15,  5.24it/s] 22%|       | 22/100 [00:05<00:15,  5.06it/s] 23%|       | 23/100 [00:05<00:17,  4.52it/s] 24%|       | 24/100 [00:06<00:28,  2.71it/s] 25%|       | 25/100 [00:06<00:22,  3.29it/s] 26%|       | 26/100 [00:06<00:18,  3.95it/s] 27%|       | 27/100 [00:06<00:16,  4.46it/s] 28%|       | 28/100 [00:06<00:14,  5.10it/s] 29%|       | 29/100 [00:07<00:13,  5.26it/s] 30%|       | 30/100 [00:07<00:12,  5.82it/s]                                                {'loss': 0.7068, 'grad_norm': 0.5483217239379883, 'learning_rate': 3.55e-05, 'epoch': 0.0}
+ 30%|       | 30/100 [00:07<00:12,  5.82it/s] 31%|       | 31/100 [00:07<00:15,  4.54it/s] 32%|      | 32/100 [00:07<00:14,  4.80it/s] 33%|      | 33/100 [00:07<00:12,  5.15it/s] 34%|      | 34/100 [00:08<00:14,  4.62it/s] 35%|      | 35/100 [00:08<00:12,  5.28it/s] 36%|      | 36/100 [00:08<00:13,  4.73it/s] 37%|      | 37/100 [00:08<00:14,  4.42it/s] 38%|      | 38/100 [00:09<00:14,  4.16it/s] 39%|      | 39/100 [00:09<00:14,  4.31it/s] 40%|      | 40/100 [00:09<00:12,  4.75it/s]                                                {'loss': 0.7474, 'grad_norm': 0.6295598745346069, 'learning_rate': 3.05e-05, 'epoch': 0.0}
+ 40%|      | 40/100 [00:09<00:12,  4.75it/s] 41%|      | 41/100 [00:09<00:10,  5.37it/s] 42%|     | 42/100 [00:09<00:11,  4.84it/s] 43%|     | 43/100 [00:09<00:11,  4.81it/s] 44%|     | 44/100 [00:10<00:11,  5.05it/s] 45%|     | 45/100 [00:10<00:10,  5.48it/s] 46%|     | 46/100 [00:10<00:11,  4.85it/s] 47%|     | 47/100 [00:10<00:10,  4.97it/s] 48%|     | 48/100 [00:10<00:09,  5.54it/s] 49%|     | 49/100 [00:11<00:08,  5.72it/s] 50%|     | 50/100 [00:11<00:10,  4.70it/s]                                                {'loss': 0.6857, 'grad_norm': 0.494174599647522, 'learning_rate': 2.5500000000000003e-05, 'epoch': 0.0}
+ 50%|     | 50/100 [00:11<00:10,  4.70it/s][INFO|trainer.py:4309] 2025-10-22 16:15:45,468 >> Saving model checkpoint to /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-50
+[INFO|configuration_utils.py:765] 2025-10-22 16:15:45,645 >> 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 16:15:45,646 >> 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 16:15:45,781 >> chat template saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-50/chat_template.jinja
+[INFO|tokenization_utils_base.py:2590] 2025-10-22 16:15:45,785 >> tokenizer config file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-50/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2599] 2025-10-22 16:15:45,789 >> Special tokens file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-50/special_tokens_map.json
+ 51%|     | 51/100 [00:12<00:22,  2.16it/s] 52%|    | 52/100 [00:12<00:17,  2.77it/s] 53%|    | 53/100 [00:12<00:14,  3.27it/s] 54%|    | 54/100 [00:12<00:13,  3.43it/s] 55%|    | 55/100 [00:13<00:16,  2.77it/s] 56%|    | 56/100 [00:13<00:14,  3.02it/s] 57%|    | 57/100 [00:13<00:11,  3.65it/s] 58%|    | 58/100 [00:14<00:11,  3.75it/s] 59%|    | 59/100 [00:14<00:10,  3.84it/s] 60%|    | 60/100 [00:14<00:09,  4.40it/s]                                                {'loss': 0.7075, 'grad_norm': 0.6808434128761292, 'learning_rate': 2.05e-05, 'epoch': 0.0}
+ 60%|    | 60/100 [00:14<00:09,  4.40it/s] 61%|    | 61/100 [00:14<00:09,  4.16it/s] 62%|   | 62/100 [00:15<00:08,  4.34it/s] 63%|   | 63/100 [00:15<00:08,  4.43it/s] 64%|   | 64/100 [00:15<00:07,  4.95it/s] 65%|   | 65/100 [00:15<00:06,  5.14it/s] 66%|   | 66/100 [00:15<00:06,  5.34it/s] 67%|   | 67/100 [00:15<00:05,  5.91it/s] 68%|   | 68/100 [00:16<00:05,  6.02it/s] 69%|   | 69/100 [00:16<00:05,  5.19it/s] 70%|   | 70/100 [00:16<00:05,  5.72it/s]                                                {'loss': 0.7249, 'grad_norm': 0.7938493490219116, 'learning_rate': 1.55e-05, 'epoch': 0.0}
+ 70%|   | 70/100 [00:16<00:05,  5.72it/s] 71%|   | 71/100 [00:16<00:04,  5.89it/s] 72%|  | 72/100 [00:16<00:04,  6.33it/s] 73%|  | 73/100 [00:16<00:05,  5.39it/s] 74%|  | 74/100 [00:17<00:04,  5.76it/s] 75%|  | 75/100 [00:17<00:04,  5.81it/s] 76%|  | 76/100 [00:17<00:04,  5.37it/s] 77%|  | 77/100 [00:17<00:04,  5.64it/s] 78%|  | 78/100 [00:17<00:03,  5.71it/s] 79%|  | 79/100 [00:18<00:04,  4.97it/s] 80%|  | 80/100 [00:18<00:03,  5.15it/s]                                                {'loss': 0.6339, 'grad_norm': 0.5036342740058899, 'learning_rate': 1.05e-05, 'epoch': 0.0}
+ 80%|  | 80/100 [00:18<00:03,  5.15it/s] 81%|  | 81/100 [00:18<00:04,  4.63it/s] 82%| | 82/100 [00:18<00:04,  4.13it/s] 83%| | 83/100 [00:19<00:04,  4.07it/s] 84%| | 84/100 [00:19<00:03,  4.56it/s] 85%| | 85/100 [00:19<00:02,  5.21it/s] 86%| | 86/100 [00:19<00:02,  5.53it/s] 87%| | 87/100 [00:19<00:02,  5.82it/s] 88%| | 88/100 [00:19<00:02,  5.82it/s] 89%| | 89/100 [00:19<00:01,  6.03it/s] 90%| | 90/100 [00:20<00:01,  6.55it/s]                                                {'loss': 0.637, 'grad_norm': 1.079582929611206, 'learning_rate': 5.500000000000001e-06, 'epoch': 0.0}
+ 90%| | 90/100 [00:20<00:01,  6.55it/s] 91%| | 91/100 [00:20<00:01,  6.35it/s] 92%|| 92/100 [00:20<00:01,  5.54it/s] 93%|| 93/100 [00:20<00:01,  5.21it/s] 94%|| 94/100 [00:20<00:01,  5.76it/s] 95%|| 95/100 [00:21<00:00,  5.79it/s] 96%|| 96/100 [00:21<00:00,  6.29it/s] 97%|| 97/100 [00:21<00:00,  5.01it/s] 98%|| 98/100 [00:21<00:00,  5.24it/s] 99%|| 99/100 [00:21<00:00,  5.82it/s]100%|| 100/100 [00:21<00:00,  5.32it/s]                                                 {'loss': 0.6089, 'grad_norm': 0.6479243636131287, 'learning_rate': 5.000000000000001e-07, 'epoch': 0.0}
+100%|| 100/100 [00:21<00:00,  5.32it/s][INFO|trainer.py:4309] 2025-10-22 16:15:56,071 >> Saving model checkpoint to /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-100
+[INFO|configuration_utils.py:765] 2025-10-22 16:15:56,281 >> 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 16:15:56,283 >> 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 16:15:56,435 >> chat template saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-100/chat_template.jinja
+[INFO|tokenization_utils_base.py:2590] 2025-10-22 16:15:56,440 >> tokenizer config file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-100/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2599] 2025-10-22 16:15:56,444 >> Special tokens file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-100/special_tokens_map.json
+[INFO|trainer.py:2810] 2025-10-22 16:15:56,947 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+                                                 {'train_runtime': 23.9548, 'train_samples_per_second': 8.349, 'train_steps_per_second': 4.175, 'train_loss': 0.7059538984298706, 'epoch': 0.0}
+100%|| 100/100 [00:22<00:00,  5.32it/s]100%|| 100/100 [00:22<00:00,  4.37it/s]
+[INFO|trainer.py:4309] 2025-10-22 16:15:56,958 >> Saving model checkpoint to /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints
+[INFO|configuration_utils.py:765] 2025-10-22 16:15:57,075 >> 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 16:15:57,076 >> 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 16:15:57,214 >> chat template saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/chat_template.jinja
+[INFO|tokenization_utils_base.py:2590] 2025-10-22 16:15:57,236 >> tokenizer config file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2599] 2025-10-22 16:15:57,240 >> Special tokens file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/special_tokens_map.json
+***** train metrics *****
+  epoch                    =     0.0041
+  total_flos               =   753953GF
+  train_loss               =      0.706
+  train_runtime            = 0:00:23.95
+  train_samples_per_second =      8.349
+  train_steps_per_second   =      4.175
+[INFO|modelcard.py:456] 2025-10-22 16:15:57,489 >> Dropping the following result as it does not have all the necessary fields:
+{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
+gl064:2375558:2375558 [1] NCCL INFO comm 0x13fbbf20 rank 1 nranks 2 cudaDev 1 busId 59000 - Destroy COMPLETE
+gl064:2375557:2375557 [0] NCCL INFO comm 0x13ebaba0 rank 0 nranks 2 cudaDev 0 busId 47000 - Destroy COMPLETE
+[W1022 16:15:58.882854538 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
+[1;34mwandb[0m: 
+[1;34mwandb[0m:  View run [33mlocal_test[0m at: [34m[0m
+[1;34mwandb[0m: Find logs at: [1;35mwandb/run-20251022_161533-ad6e8c8u/logs[0m
+[W1022 16:16:05.664131885 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
+[W1022 16:16:06.115853102 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
+[W1022 16:16:06.542480791 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
+
+========================================
+Training completed successfully
+End Time: Wed Oct 22 04:16:07 PM EDT 2025
+========================================
+
+========================================
+STAGE 2: Merging/Exporting Model
+Start Time: Wed Oct 22 04:16:07 PM EDT 2025
+========================================
+Looking for checkpoints in: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints
+Analyzing checkpoints to find the one from current training run...
+  - checkpoint-100: trainer_state.json modified at Wed Oct 22 04:15:56 PM EDT 2025
+  - checkpoint-50: trainer_state.json modified at Wed Oct 22 04:15:46 PM EDT 2025
+
+Selected checkpoint: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-100
+This checkpoint has the most recently updated trainer_state.json
+Checkpoint details:
+  Path: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-100
+  Last modified: 2025-10-22 16:15:56.944686196 -0400
+  Training step: 100
+Updating merge config to point to checkpoint...
+Successfully updated merge config
+Updated merge config to use: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/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__local/checkpoints/checkpoint-100
+  template: default
+  export_dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged
+
+Executing command: llamafactory-cli export /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/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 16:16:16,378 >> 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 16:16:16,378 >> 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 16:16:16,378 >> 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 16:16:16,378 >> loading file added_tokens.json from cache at None
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:16:16,378 >> loading file special_tokens_map.json from cache at None
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:16:16,378 >> 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 16:16:16,378 >> loading file chat_template.jinja from cache at None
+[INFO|tokenization_utils_base.py:2364] 2025-10-22 16:16:16,553 >> 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 16:16:16,790 >> 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 16:16:16,792 >> 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 16:16:16,861 >> 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 16:16:16,861 >> 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 16:16:16,861 >> 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 16:16:16,861 >> loading file added_tokens.json from cache at None
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:16:16,861 >> loading file special_tokens_map.json from cache at None
+[INFO|tokenization_utils_base.py:2095] 2025-10-22 16:16:16,861 >> 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 16:16:16,861 >> loading file chat_template.jinja from cache at None
+[INFO|tokenization_utils_base.py:2364] 2025-10-22 16:16:17,029 >> 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 16:16:17,076 >> 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 16:16:17,076 >> 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 16:16:17,076 >> `torch_dtype` is deprecated! Use `dtype` instead!
+[INFO|2025-10-22 16:16:17] llamafactory.model.model_utils.kv_cache:143 >> KV cache is enabled for faster generation.
+[WARNING|logging.py:328] 2025-10-22 16:16:17,793 >> `torch_dtype` is deprecated! Use `dtype` instead!
+[INFO|modeling_utils.py:1172] 2025-10-22 16:16:17,793 >> 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 16:16:17,794 >> Instantiating Qwen2ForCausalLM model under default dtype torch.bfloat16.
+[INFO|configuration_utils.py:986] 2025-10-22 16:16:17,795 >> Generate config GenerationConfig {
+  "bos_token_id": 151643,
+  "eos_token_id": 151643
+}
+
+[INFO|configuration_utils.py:941] 2025-10-22 16:16:17,885 >> 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 16:16:17,885 >> Generate config GenerationConfig {
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048
+}
+
+[INFO|dynamic_module_utils.py:423] 2025-10-22 16:16:17,918 >> Could not locate the custom_generate/generate.py inside Qwen/Qwen2.5-0.5B.
+[INFO|2025-10-22 16:16:17] llamafactory.model.model_utils.attention:143 >> Using torch SDPA for faster training and inference.
+[INFO|2025-10-22 16:16:19] llamafactory.model.adapter:143 >> Merged 1 adapter(s).
+[INFO|2025-10-22 16:16:19] llamafactory.model.adapter:143 >> Loaded adapter(s): /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints/checkpoint-100
+[INFO|2025-10-22 16:16:19] llamafactory.model.loader:143 >> all params: 494,032,768
+[INFO|2025-10-22 16:16:19] llamafactory.train.tuner:143 >> Convert model dtype to: torch.bfloat16.
+[INFO|configuration_utils.py:491] 2025-10-22 16:16:19,094 >> Configuration saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged/config.json
+[INFO|configuration_utils.py:757] 2025-10-22 16:16:19,098 >> Configuration saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged/generation_config.json
+[INFO|modeling_utils.py:4181] 2025-10-22 16:16:20,738 >> Model weights saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged/model.safetensors
+[INFO|tokenization_utils_base.py:2421] 2025-10-22 16:16:20,743 >> chat template saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged/chat_template.jinja
+[INFO|tokenization_utils_base.py:2590] 2025-10-22 16:16:20,746 >> tokenizer config file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2599] 2025-10-22 16:16:20,750 >> Special tokens file saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged/special_tokens_map.json
+[INFO|2025-10-22 16:16:20] llamafactory.train.tuner:143 >> Ollama modelfile saved in /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged/Modelfile
+
+========================================
+Merge/Export completed successfully
+End Time: Wed Oct 22 04:16:21 PM EDT 2025
+========================================
+
+========================================
+Preparing Training Artifacts
+========================================
+Copying configuration files...
+Copying and cleaning training logs...

training_artifacts/merge_config.yaml

@@ -0,0 +1,6 @@
+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__local/checkpoints/checkpoint-100
+template: default
+export_dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/merged

training_artifacts/train_config.yaml

@@ -0,0 +1,25 @@
+stage: sft
+do_train: true
+max_steps: 100
+do_eval: false
+save_strategy: steps
+save_steps: 50
+logging_steps: 10
+fp16: true
+bf16: false
+overwrite_output_dir: true
+per_device_train_batch_size: 1
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+model_name_or_path: Qwen/Qwen2.5-0.5B
+finetuning_type: lora
+dataset: my_custom_sft
+dataset_dir: /scratch/zrs2020/LlamaFactoryHelper/LLaMA-Factory/data
+template: default
+cutoff_len: 8096
+val_size: 0.1
+lora_rank: 8
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target: all
+output_dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints