Lmod has detected the following error: The following module(s) are unknown:
"CUDA/12.1.1"

Please check the spelling or version number. Also try "module spider ..."
It is also possible your cache file is out-of-date; it may help to try:
  $ module --ignore_cache load "CUDA/12.1.1"

Also make sure that all modulefiles written in TCL start with the string
#%Module



Submitting job: /common/home/users/d/dh.huang.2023/code/logical-reasoning/scripts/tune-mgtv.sh
Current Directory:
/common/home/users/d/dh.huang.2023/code/logical-reasoning
Sat Jul 13 10:40:00 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.90.07              Driver Version: 550.90.07      CUDA Version: 12.4     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA H100 PCIe               On  |   00000000:01:00.0 Off |                    0 |
| N/A   42C    P0             51W /  350W |       1MiB /  81559MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+
Linux holiday 4.18.0-553.5.1.el8_10.x86_64 #1 SMP Thu Jun 6 09:41:19 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
NAME="Rocky Linux"
VERSION="8.10 (Green Obsidian)"
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ID_LIKE="rhel centos fedora"
VERSION_ID="8.10"
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PRETTY_NAME="Rocky Linux 8.10 (Green Obsidian)"
ANSI_COLOR="0;32"
LOGO="fedora-logo-icon"
CPE_NAME="cpe:/o:rocky:rocky:8:GA"
HOME_URL="https://rockylinux.org/"
BUG_REPORT_URL="https://bugs.rockylinux.org/"
SUPPORT_END="2029-05-31"
ROCKY_SUPPORT_PRODUCT="Rocky-Linux-8"
ROCKY_SUPPORT_PRODUCT_VERSION="8.10"
REDHAT_SUPPORT_PRODUCT="Rocky Linux"
REDHAT_SUPPORT_PRODUCT_VERSION="8.10"
Architecture:        x86_64
CPU op-mode(s):      32-bit, 64-bit
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On-line CPU(s) list: 0-127
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Model name:          AMD EPYC 9554 64-Core Processor
Stepping:            1
CPU MHz:             3100.000
CPU max MHz:         3762.9880
CPU min MHz:         1500.0000
BogoMIPS:            6190.80
Virtualization:      AMD-V
L1d cache:           32K
L1i cache:           32K
L2 cache:            1024K
L3 cache:            32768K
NUMA node0 CPU(s):   0-127
Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 invpcid_single hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local avx512_bf16 clzero irperf xsaveerptr wbnoinvd amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d
MemTotal:       527521124 kB
Tuning with config/internlm2_5_7b_lora_sft_bf16_p1_full.yaml
Current Directory:
/common/home/users/d/dh.huang.2023/code/logical-reasoning/llama-factory
config/internlm2_5_7b_lora_sft_bf16_p1_full.yaml:
 {
  "model_name_or_path": "internlm/internlm2_5-7b-chat-1m",
  "stage": "sft",
  "do_train": true,
  "finetuning_type": "lora",
  "lora_target": "all",
  "loraplus_lr_ratio": 16.0,
  "upcast_layernorm": true,
  "dataset": "alpaca_mgtv_p1",
  "template": "intern2",
  "cutoff_len": 4096,
  "max_samples": 25000,
  "overwrite_cache": true,
  "preprocessing_num_workers": 16,
  "output_dir": "saves/internlm2_5_7b/lora/sft_bf16_p1_full",
  "logging_steps": 10,
  "save_steps": 44,
  "plot_loss": true,
  "overwrite_output_dir": true,
  "per_device_train_batch_size": 64,
  "gradient_accumulation_steps": 8,
  "learning_rate": 0.0001,
  "num_train_epochs": 6.0,
  "lr_scheduler_type": "cosine",
  "warmup_ratio": 0.1,
  "bf16": true,
  "ddp_timeout": 180000000,
  "val_size": 0.1,
  "per_device_eval_batch_size": 1,
  "eval_strategy": "steps",
  "eval_steps": 44,
  "report_to": "wandb",
  "run_name": "internlm2_5_7b_p1_h100"
}
07/13/2024 10:40:09 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, compute dtype: torch.bfloat16
[INFO|tokenization_utils_base.py:2108] 2024-07-13 10:40:10,014 >> loading file ./tokenizer.model from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/./tokenizer.model
[INFO|tokenization_utils_base.py:2108] 2024-07-13 10:40:10,014 >> loading file added_tokens.json from cache at None
[INFO|tokenization_utils_base.py:2108] 2024-07-13 10:40:10,014 >> loading file special_tokens_map.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/special_tokens_map.json
[INFO|tokenization_utils_base.py:2108] 2024-07-13 10:40:10,014 >> loading file tokenizer_config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/tokenizer_config.json
[INFO|tokenization_utils_base.py:2108] 2024-07-13 10:40:10,014 >> loading file tokenizer.json from cache at None
07/13/2024 10:40:11 - INFO - llamafactory.data.template - Add <|im_end|> to stop words.
07/13/2024 10:40:11 - INFO - llamafactory.data.loader - Loading dataset alpaca_mgtv_p1.json...

Converting format of dataset (num_proc=16):   0%|          | 0/25000 [00:00<?, ? examples/s]
Converting format of dataset (num_proc=16):  63%|██████▎   | 15628/25000 [00:00<00:00, 141412.04 examples/s]
Converting format of dataset (num_proc=16): 100%|██████████| 25000/25000 [00:00<00:00, 126909.37 examples/s]

Running tokenizer on dataset (num_proc=16):   0%|          | 0/25000 [00:00<?, ? examples/s]
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Running tokenizer on dataset (num_proc=16):  37%|███▋      | 9252/25000 [00:01<00:02, 7719.79 examples/s]
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Running tokenizer on dataset (num_proc=16): 100%|██████████| 25000/25000 [00:02<00:00, 14355.27 examples/s]
Running tokenizer on dataset (num_proc=16): 100%|██████████| 25000/25000 [00:02<00:00, 10714.31 examples/s]
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 10:40:15,390 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:733] 2024-07-13 10:40:15,862 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 10:40:15,863 >> Model config InternLM2Config {
  "_name_or_path": "internlm/internlm2_5-7b-chat-1m",
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|modeling_utils.py:3474] 2024-07-13 10:40:16,158 >> loading weights file model.safetensors from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/model.safetensors.index.json
[INFO|modeling_utils.py:1519] 2024-07-13 10:40:16,159 >> Instantiating InternLM2ForCausalLM model under default dtype torch.bfloat16.
[INFO|configuration_utils.py:962] 2024-07-13 10:40:16,160 >> Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "pad_token_id": 2
}

input_ids:
[1, 92543, 1008, 364, 60403, 68625, 70503, 68309, 69323, 60687, 60364, 60355, 68309, 69776, 68411, 60387, 402, 312, 281, 262, 69102, 60497, 60382, 89428, 63352, 60582, 60355, 364, 314, 281, 262, 69102, 60497, 70357, 73912, 60383, 69464, 75687, 60353, 69702, 84931, 63352, 60582, 60355, 364, 308, 281, 262, 68390, 68772, 68287, 60353, 74243, 60530, 68420, 74740, 68855, 68544, 72719, 68423, 68538, 60387, 60357, 60359, 68278, 60359, 82568, 60359, 68855, 69077, 60359, 60593, 60408, 69583, 60355, 364, 319, 281, 262, 68855, 60366, 68336, 68535, 68574, 69344, 68347, 60353, 71452, 81256, 68423, 68322, 78818, 60666, 60355, 69192, 60353, 73263, 60581, 60419, 68278, 60420, 81256, 60397, 60419, 60358, 60420, 60355, 364, 317, 281, 262, 69102, 60497, 68266, 68420, 68855, 60383, 76681, 60353, 60573, 68985, 75326, 63352, 80931, 69077, 69059, 60355, 402, 60836, 86910, 68374, 69776, 68855, 69102, 60497, 74743, 68287, 60355, 402, 63352, 60582, 334, 262, 60361, 63840, 60396, 78165, 60353, 68935, 79406, 70952, 60387, 69731, 71150, 88982, 82620, 60353, 71150, 61329, 60425, 60649, 68935, 69410, 71150, 60382, 60358, 62273, 60458, 61217, 60353, 71479, 60400, 72593, 69380, 79594, 90209, 60355, 60836, 75326, 71150, 82066, 79202, 68540, 60355, 402, 74740, 334, 262, 73687, 69607, 60510, 70226, 60372, 62650, 60354, 61044, 61066, 69045, 60355, 71389, 61044, 61066, 89463, 60353, 61002, 60510, 70226, 73027, 70134, 60544, 61422, 60355, 68310, 74907, 60361, 71150, 88982, 82620, 68980, 60355, 69104, 60353, 71062, 61976, 60364, 60353, 70134, 60361, 72325, 60463, 68294, 60612, 70623, 60366, 60877, 60668, 60355, 74726, 60354, 61044, 61066, 68394, 70367, 60447, 69126, 70134, 60353, 69731, 68549, 60530, 69410, 71150, 61882, 60825, 60353, 70395, 70134, 60354, 62296, 60463, 60353, 72069, 86407, 68304, 63024, 60880, 60355, 68597, 68891, 73936, 60362, 69372, 60353, 71093, 72276, 60425, 68252, 82569, 70952, 60355, 402, 69102, 60497, 74743, 68287, 334, 262, 61882, 68279, 60548, 60780, 61076, 364, 92542, 364, 92543, 525, 11353, 364, 68278, 2]
inputs:
<s><|im_start|>user
你是一个逻辑游戏的主持人。游戏规则如下：

1. 参与者会得到一个谜题。
2. 参与者可以通过提问来获取线索，尝试解开谜题。
3. 对于每个问题，主持人将根据实际情况回答以下五个选项之一：是、不是、不重要、回答正确、问法错误。
4. 回答中不能添加任何其它信息，也不能省略选项中的任何一个字。例如，不可以把“不是”省略成“不”。
5. 参与者需要根据回答来推理，并最终找出谜题的正确答案。

请严格按照这些规则回答参与者提出的问题。

谜题: 在甄家村里，有一个古老的传说：每年南瓜丰收的季节，南瓜田里总有一个最大的南瓜会不翼而飞，村民们对此现象困惑不解。请找出南瓜失踪背后的原因。

实际情况: 真相原来与一位年迈的农夫有关。这位农夫年轻时，曾与一位美丽的姑娘相恋。他们约定在南瓜丰收的季节结婚。然而，命运弄人，姑娘在婚礼前的一场意外中离世。悲伤的农夫为了纪念心爱的姑娘，每年都会将最大的南瓜偷走，放到姑娘的墓前，以此寄托自己的哀思。这一行为延续了多年，成为了乡村里一个神秘的传说。

参与者提出的问题: 偷的人信神吗
<|im_end|>
<|im_start|>assistant
不是</s>
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, -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, -100, -100, -100, -100, -100, -100, -100, -100, -100, 68278, 2]
labels:
不是</s>

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[INFO|modeling_utils.py:4280] 2024-07-13 10:40:24,414 >> All model checkpoint weights were used when initializing InternLM2ForCausalLM.

[INFO|modeling_utils.py:4288] 2024-07-13 10:40:24,414 >> All the weights of InternLM2ForCausalLM were initialized from the model checkpoint at internlm/internlm2_5-7b-chat-1m.
If your task is similar to the task the model of the checkpoint was trained on, you can already use InternLM2ForCausalLM for predictions without further training.
[INFO|configuration_utils.py:917] 2024-07-13 10:40:24,657 >> loading configuration file generation_config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/generation_config.json
[INFO|configuration_utils.py:962] 2024-07-13 10:40:24,657 >> Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": [
    2,
    92542
  ],
  "pad_token_id": 2
}

07/13/2024 10:40:24 - INFO - llamafactory.model.model_utils.checkpointing - Upcasting layernorm weights in float32.
07/13/2024 10:40:24 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
07/13/2024 10:40:24 - INFO - llamafactory.model.model_utils.attention - Using vanilla attention implementation.
07/13/2024 10:40:24 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
07/13/2024 10:40:24 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
07/13/2024 10:40:24 - INFO - llamafactory.model.model_utils.misc - Found linear modules: wqkv,w1,w3,wo,w2
07/13/2024 10:40:24 - INFO - llamafactory.model.loader - trainable params: 18,874,368 || all params: 7,756,582,912 || trainable%: 0.2433
Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
[INFO|trainer.py:641] 2024-07-13 10:40:24,975 >> Using auto half precision backend
07/13/2024 10:40:25 - INFO - llamafactory.train.trainer_utils - Using LoRA+ optimizer with loraplus lr ratio 16.00.
[INFO|trainer.py:2078] 2024-07-13 10:40:25,194 >> ***** Running training *****
[INFO|trainer.py:2079] 2024-07-13 10:40:25,194 >>   Num examples = 22,500
[INFO|trainer.py:2080] 2024-07-13 10:40:25,194 >>   Num Epochs = 6
[INFO|trainer.py:2081] 2024-07-13 10:40:25,194 >>   Instantaneous batch size per device = 64
[INFO|trainer.py:2084] 2024-07-13 10:40:25,195 >>   Total train batch size (w. parallel, distributed & accumulation) = 512
[INFO|trainer.py:2085] 2024-07-13 10:40:25,195 >>   Gradient Accumulation steps = 8
[INFO|trainer.py:2086] 2024-07-13 10:40:25,195 >>   Total optimization steps = 264
[INFO|trainer.py:2087] 2024-07-13 10:40:25,196 >>   Number of trainable parameters = 18,874,368
[INFO|integration_utils.py:723] 2024-07-13 10:40:25,198 >> Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true"
wandb: Currently logged in as: inflaton-sg (inflaton-ai). Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.17.4
wandb: Run data is saved locally in /common2/dh.huang.2023/code/logical-reasoning/llama-factory/wandb/run-20240713_104026-5gfamdui
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run internlm2_5_7b_p1_h100
wandb: ⭐️ View project at https://wandb.ai/inflaton-ai/huggingface
wandb: 🚀 View run at https://wandb.ai/inflaton-ai/huggingface/runs/5gfamdui

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[INFO|trainer.py:3721] 2024-07-13 11:18:32,961 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-13 11:18:32,962 >>   Batch size = 1
{'loss': 5.5717, 'grad_norm': 3.057248115539551, 'learning_rate': 3.7037037037037037e-05, 'epoch': 0.23}
{'loss': 0.3958, 'grad_norm': 0.5911761522293091, 'learning_rate': 7.407407407407407e-05, 'epoch': 0.45}
{'loss': 0.3145, 'grad_norm': 0.49433770775794983, 'learning_rate': 9.996046986136509e-05, 'epoch': 0.68}
{'loss': 0.2876, 'grad_norm': 0.4638547897338867, 'learning_rate': 9.925944931706173e-05, 'epoch': 0.91}


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                                                   [INFO|trainer.py:3410] 2024-07-13 11:20:45,511 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-44
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 11:20:46,132 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 11:20:46,133 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-13 11:20:46,359 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-44/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-13 11:20:46,360 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-44/special_tokens_map.json

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[INFO|trainer.py:3721] 2024-07-13 11:58:42,734 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-13 11:58:42,734 >>   Batch size = 1
{'eval_loss': 0.26385805010795593, 'eval_accuracy': 0.8948, 'eval_runtime': 132.5476, 'eval_samples_per_second': 18.861, 'eval_steps_per_second': 18.861, 'epoch': 1.0}
{'loss': 0.265, 'grad_norm': 1.1651757955551147, 'learning_rate': 9.769414454563615e-05, 'epoch': 1.14}
{'loss': 0.26, 'grad_norm': 0.592210054397583, 'learning_rate': 9.529201968327616e-05, 'epoch': 1.36}
{'loss': 0.249, 'grad_norm': 0.5416140556335449, 'learning_rate': 9.209522133654969e-05, 'epoch': 1.59}
{'loss': 0.244, 'grad_norm': 0.39804431796073914, 'learning_rate': 8.815983909692943e-05, 'epoch': 1.82}


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                                                   [INFO|trainer.py:3410] 2024-07-13 12:00:57,482 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-88
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 12:00:58,171 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 12:00:58,172 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-13 12:00:58,348 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-88/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-13 12:00:58,349 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-88/special_tokens_map.json

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[INFO|trainer.py:3721] 2024-07-13 12:38:53,184 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-13 12:38:53,184 >>   Batch size = 1
{'eval_loss': 0.2507841885089874, 'eval_accuracy': 0.8997333333333332, 'eval_runtime': 134.7467, 'eval_samples_per_second': 18.553, 'eval_steps_per_second': 18.553, 'epoch': 2.0}
{'loss': 0.2435, 'grad_norm': 0.27605682611465454, 'learning_rate': 8.355492141795185e-05, 'epoch': 2.05}
{'loss': 0.1952, 'grad_norm': 0.3273526728153229, 'learning_rate': 7.83612641219884e-05, 'epoch': 2.27}
{'loss': 0.2059, 'grad_norm': 0.3215419054031372, 'learning_rate': 7.26699927929466e-05, 'epoch': 2.5}
{'loss': 0.2138, 'grad_norm': 0.3129217326641083, 'learning_rate': 6.65809639276034e-05, 'epoch': 2.73}
{'loss': 0.2054, 'grad_norm': 0.4610234498977661, 'learning_rate': 6.020101289825324e-05, 'epoch': 2.95}


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                                                   [INFO|trainer.py:3410] 2024-07-13 12:41:05,608 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-132
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 12:41:06,154 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 12:41:06,155 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-13 12:41:06,333 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-132/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-13 12:41:06,334 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-132/special_tokens_map.json

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[INFO|trainer.py:3721] 2024-07-13 13:18:59,828 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-13 13:18:59,828 >>   Batch size = 1
{'eval_loss': 0.25276708602905273, 'eval_accuracy': 0.9028666666666668, 'eval_runtime': 132.4222, 'eval_samples_per_second': 18.879, 'eval_steps_per_second': 18.879, 'epoch': 3.0}
{'loss': 0.1583, 'grad_norm': 0.3851621150970459, 'learning_rate': 5.364207946713318e-05, 'epoch': 3.18}
{'loss': 0.1516, 'grad_norm': 0.4073261618614197, 'learning_rate': 4.701924374150901e-05, 'epoch': 3.41}
{'loss': 0.1467, 'grad_norm': 0.3168102204799652, 'learning_rate': 4.044870702967461e-05, 'epoch': 3.64}
{'loss': 0.1532, 'grad_norm': 0.5770123600959778, 'learning_rate': 3.404575302486039e-05, 'epoch': 3.86}


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                                                   [INFO|trainer.py:3410] 2024-07-13 13:21:12,215 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-176
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 13:21:12,771 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 13:21:12,771 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-13 13:21:12,945 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-176/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-13 13:21:12,946 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p1_full/checkpoint-176/special_tokens_map.json

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slurmstepd: error: *** JOB 71094 ON holiday CANCELLED AT 2024-07-13T13:41:34 DUE TO PREEMPTION ***
Job ID: 71094
Cluster: crimson
User/Group: dh.huang.2023/dh.huang.2023
State: PREEMPTED (exit code 0)
Nodes: 1
Cores per node: 10
CPU Utilized: 00:00:01
CPU Efficiency: 0.00% of 1-06:16:10 core-walltime
Job Wall-clock time: 03:01:37
Memory Utilized: 2.04 GB
Memory Efficiency: 0.80% of 256.00 GB