Submitting job: /common/home/users/d/dh.huang.2023/code/rapget-translation/scripts/eval-mac.sh
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Sat Oct  5 10:51:14 2024       
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| 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 L40                     On  |   00000000:41:00.0 Off |                    0 |
| N/A   32C    P8             34W /  300W |       1MiB /  46068MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
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Linux lagoon 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)"
ID="rocky"
ID_LIKE="rhel centos fedora"
VERSION_ID="8.10"
PLATFORM_ID="platform:el8"
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
Byte Order:          Little Endian
CPU(s):              128
On-line CPU(s) list: 0-127
Thread(s) per core:  2
Core(s) per socket:  64
Socket(s):           1
NUMA node(s):        1
Vendor ID:           AuthenticAMD
CPU family:          25
Model:               1
Model name:          AMD EPYC 7763 64-Core Processor
Stepping:            1
CPU MHz:             2450.000
CPU max MHz:         3529.0520
CPU min MHz:         1500.0000
BogoMIPS:            4891.15
Virtualization:      AMD-V
L1d cache:           32K
L1i cache:           32K
L2 cache:            512K
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 nopl nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 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 ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr wbnoinvd amd_ppin brs arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm
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Collecting lightning-utilities>=0.10.0 (from pytorch-lightning<3.0.0,>=2.0.0->unbabel-comet==2.2.2->-r requirements.txt (line 22))
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Downloading lightning_utilities-0.11.7-py3-none-any.whl (26 kB)
Installing collected packages: sentencepiece, protobuf, lightning-utilities, jsonargparse, huggingface_hub, wandb, torchmetrics, langchain-core, entmax, pytorch-lightning, langchain_openai, unbabel-comet
  Attempting uninstall: sentencepiece
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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
langchain 0.1.16 requires langchain-core<0.2.0,>=0.1.42, but you have langchain-core 0.2.41 which is incompatible.
langchain-anthropic 0.2.0 requires langchain-core<0.4.0,>=0.3.0, but you have langchain-core 0.2.41 which is incompatible.
langchain-google-genai 1.0.2 requires langchain-core<0.2,>=0.1.27, but you have langchain-core 0.2.41 which is incompatible.
langchain-community 0.0.34 requires langchain-core<0.2.0,>=0.1.45, but you have langchain-core 0.2.41 which is incompatible.
google-api-core 1.34.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<4.0.0dev,>=3.19.5, but you have protobuf 4.25.5 which is incompatible.
langchain-text-splitters 0.0.1 requires langchain-core<0.2.0,>=0.1.28, but you have langchain-core 0.2.41 which is incompatible.
Successfully installed entmax-1.3 huggingface_hub-0.24.2 jsonargparse-3.13.1 langchain-core-0.2.41 langchain_openai-0.1.13 lightning-utilities-0.11.7 protobuf-4.25.5 pytorch-lightning-2.4.0 sentencepiece-0.1.98 torchmetrics-0.10.3 unbabel-comet-2.2.2 wandb-0.17.6
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating internlm/internlm2_5-7b-chat
[nltk_data] Downloading package wordnet to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package omw-1.4 is already up-to-date!
[nltk_data] Downloading package wordnet to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package omw-1.4 is already up-to-date!
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
Adding /common/home/users/d/dh.huang.2023/common2/code/rapget-translation to sys.path
loading: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/eval_modules/calc_repetitions.py
loading /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/translation_utils.py

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Lightning automatically upgraded your loaded checkpoint from v1.8.3.post1 to v2.4.0. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint ../../../../../../../scratch/users/d/dh.huang.2023/transformers/hub/models--Unbabel--wmt22-comet-da/snapshots/371e9839ca4e213dde891b066cf3080f75ec7e72/checkpoints/model.ckpt`
Encoder model frozen.
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/pytorch_lightning/core/saving.py:195: Found keys that are not in the model state dict but in the checkpoint: ['encoder.model.embeddings.position_ids']
We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
CUDA is available, we have found  1  GPU(s)
NVIDIA L40
CUDA version: 12.1
internlm/internlm2_5-7b-chat llama-factory/saves/internlm2_5-7b-chat/checkpoint-140 False datasets/mac/mac.tsv results/mac-results_rpp_with_mnt_2048_generic_prompt.csv False 2048 2
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: internlm/internlm2_5-7b-chat with adapter: llama-factory/saves/internlm2_5-7b-chat/checkpoint-140

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(2) GPU = NVIDIA L40. Max memory = 44.309 GB.
14.523 GB of memory reserved.
loading train/test data files

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DatasetDict({
    train: Dataset({
        features: ['chinese', 'english', 'text', 'prompt'],
        num_rows: 4528
    })
    test: Dataset({
        features: ['chinese', 'english', 'text', 'prompt'],
        num_rows: 1133
    })
})
--------------------------------------------------
chinese: 老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞迸着，嚓嚓有声。
--------------------------------------------------
english: Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.
--------------------------------------------------
text: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Chinese: 老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞迸着，嚓嚓有声。
English:Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.</s>
--------------------------------------------------
prompt: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Chinese: 老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞迸着，嚓嚓有声。
English:
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chinese: 对我一刻也不能放松。
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english: People shouldn't let up on me for a minute.
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text: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Chinese: 对我一刻也不能放松。
English:People shouldn't let up on me for a minute.</s>
--------------------------------------------------
prompt: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Chinese: 对我一刻也不能放松。
English:
Evaluating model: internlm/internlm2_5-7b-chat/checkpoint-140 on cuda
*** Evaluating with repetition_penalty: 1.0

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GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
You are using a CUDA device ('NVIDIA L40') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
SLURM auto-requeueing enabled. Setting signal handlers.
Batch output: [' Old Geng raised his rifle, squinted through one eye, and pulled the trigger. A hailstorm of gold orioles fell to the ground, and iron shot flew through the willow branches, making a crackling sound.', ' GRANDMA LIU HAD BEEN UP FOR SOME TIME, WASHING AND DRESSING, AND HAD BEEN REHEarsing a few phrases with Ban-er, who was only five or six years old. The thought of going into the city excited him, and he was only too willing to learn.']
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Using default tokenizer.
internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00 metrics: {'comet': 0.7359098122904812, 'meteor': 0.42976125143981025, 'sacrebleu': {'score': 15.060597453484048, 'counts': [13390, 5648, 2885, 1609], 'totals': [30463, 29333, 28204, 27075], 'precisions': [43.9549617568854, 19.25476425868476, 10.229045525457382, 5.94275161588181], 'bp': 1.0, 'sys_len': 30463, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.15060597453484048, 'precisions': [0.439549617568854, 0.1925476425868476, 0.10229045525457382, 0.0594275161588181], 'brevity_penalty': 1.0, 'length_ratio': 1.0090427293805897, 'translation_length': 30463, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46520740826495277, 'rouge2': 0.22626373147019307, 'rougeL': 0.4100345057949176, 'rougeLsum': 0.41041739123260684}, 'accuracy': 0.0, 'correct_ids': []}
*** Evaluating with repetition_penalty: 1.02

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GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
SLURM auto-requeueing enabled. Setting signal handlers.
Batch output: [' Old Geng raised his rifle and squinted through one of its sights. He pulled the trigger, and a hailstorm of gold orioles fell from the sky, scattering iron shot among the willow branches, which crackled and snapped.', ' GRANDMA LIU HAD BEEN UP FOR SOME TIME, WASHING AND DRESSING HERSELF, AND HAD BEEN REHEarsing a few phrases with Ban-er, who was now five or six years old and was delighted at the prospect of going into the city.']
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Using default tokenizer.
internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02 metrics: {'comet': 0.7377929133145239, 'meteor': 0.42466769771980556, 'sacrebleu': {'score': 14.727718698074254, 'counts': [13164, 5479, 2763, 1539], 'totals': [27788, 26657, 25527, 24397], 'precisions': [47.37296674823665, 20.553700716509734, 10.823833587965684, 6.308152641718244], 'bp': 0.9171904042930746, 'sys_len': 27788, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.14727718698074244, 'precisions': [0.4737296674823665, 0.20553700716509735, 0.10823833587965684, 0.06308152641718244], 'brevity_penalty': 0.9171904042930744, 'length_ratio': 0.9204372308711494, 'translation_length': 27788, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4634398800744901, 'rouge2': 0.2232607606252936, 'rougeL': 0.4066046933082574, 'rougeLsum': 0.40690418046247634}, 'accuracy': 0.0, 'correct_ids': []}
*** Evaluating with repetition_penalty: 1.04

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GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
SLURM auto-requeueing enabled. Setting signal handlers.
Batch output: [' Old Geng raised his rifle and squinted through one of its sights. He pulled the trigger and a hailstorm of gold orioles fell out of the barrel, scattering iron shot among the willow branches, which crackled as they flew apart.', ' GRANDMA LIU HAD BEEN UP FOR SOME TIME, WASHING AND DRESSING HERSELF, WHEN IT WAS STILL dark outside. She had also been teaching Ban-er a few phrases of polite conversation; for though only five or six years old, he was already capable of grasping the idea that he would be taken into the city and shown round.']
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Using default tokenizer.
internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04 metrics: {'comet': 0.7372263687591266, 'meteor': 0.4173352728374962, 'sacrebleu': {'score': 13.845160263740091, 'counts': [12850, 5147, 2556, 1417], 'totals': [27855, 26725, 25596, 24467], 'precisions': [46.131753724645485, 19.25912067352666, 9.985935302390999, 5.791474230596314], 'bp': 0.9195903672816721, 'sys_len': 27855, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.13845160263740094, 'precisions': [0.46131753724645486, 0.1925912067352666, 0.09985935302390998, 0.057914742305963135], 'brevity_penalty': 0.9195903672816721, 'length_ratio': 0.922656508777741, 'translation_length': 27855, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.456589171124469, 'rouge2': 0.21563207702065357, 'rougeL': 0.39906919897202864, 'rougeLsum': 0.3994455058757437}, 'accuracy': 0.0, 'correct_ids': []}
*** Evaluating with repetition_penalty: 1.06

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GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
SLURM auto-requeueing enabled. Setting signal handlers.
Batch output: [' Old Geng raised his rifle and squinted through one of its sights; he pulled the trigger and a hailstorm of gold sparrows fell out of the barrel, scattering iron shot among the willow branches with a crackling sound.', ' GRANDMA LIU HAD BEEN UP FOR SOME TIME before daybreak, and had already washed herself and dressed; she was also busy teaching Ban-er a few phrases which he could use in order to impress his new friends with his command of the language. A child of five or six would have been delighted at the prospect of being taken into the city on a visit, and would have readily agreed to anything that might make this possible.']
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Using default tokenizer.
internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06 metrics: {'comet': 0.7339350572225801, 'meteor': 0.3997609847704189, 'sacrebleu': {'score': 12.212648812221792, 'counts': [12369, 4622, 2171, 1168], 'totals': [27944, 26813, 25683, 24554], 'precisions': [44.263527054108216, 17.23790698541752, 8.453062336954405, 4.756862425674025], 'bp': 0.9227702096331225, 'sys_len': 27944, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12212648812221798, 'precisions': [0.44263527054108215, 0.17237906985417523, 0.08453062336954406, 0.047568624256740244], 'brevity_penalty': 0.9227702096331225, 'length_ratio': 0.9256045048029149, 'translation_length': 27944, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4449713896939841, 'rouge2': 0.1993131161530599, 'rougeL': 0.38387247900486143, 'rougeLsum': 0.3842232373096349}, 'accuracy': 0.0, 'correct_ids': []}
*** Evaluating with repetition_penalty: 1.08

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GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
SLURM auto-requeueing enabled. Setting signal handlers.
Batch output: [' Old Geng raised his rifle and squinted through one of its sights; he pulled the trigger and a hailstorm of gold sparrows fell out of the barrel with tinkling sounds that were accompanied by the crackle of flying sand as it flew up into the air among the willow branches.', ' GRANDMA LIU HAD BEEN UP FOR SOME TIME before daybreak, and had already washed herself and dressed when she woke him up with her voice; after giving him some practice in speaking a few phrases of city dialect, she told him that he would soon be going into the city on a pleasure trip which he was delighted at the prospect of.']
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Using default tokenizer.
internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08 metrics: {'comet': 0.7319266114709446, 'meteor': 0.3881614120395272, 'sacrebleu': {'score': 11.368749149218228, 'counts': [12087, 4343, 1990, 1042], 'totals': [28271, 27141, 26012, 24884], 'precisions': [42.75405892964522, 16.001621163553295, 7.650315239120406, 4.1874296736859025], 'bp': 0.9343737641958552, 'sys_len': 28271, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1136874914921823, 'precisions': [0.4275405892964522, 0.16001621163553295, 0.07650315239120406, 0.041874296736859024], 'brevity_penalty': 0.9343737641958553, 'length_ratio': 0.9364359059291156, 'translation_length': 28271, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4363958639499481, 'rouge2': 0.1900838058471569, 'rougeL': 0.37313284351653864, 'rougeLsum': 0.37303876890227294}, 'accuracy': 0.0, 'correct_ids': []}
*** Evaluating with repetition_penalty: 1.1

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GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
SLURM auto-requeueing enabled. Setting signal handlers.
Batch output: [' Old Geng raised his rifle and squinted through one of its sights; he pulled the trigger and a hailstorm of gold sparrows fell out of the sky onto the ground below where iron pellets flew wildly among the branches of the willow trees, crackling with noise.', ' GRANDMA LIU HAD WAKEN UP before dawn and had already washed herself when she began teaching Ban-er some phrases which he could use in town; for though only five or six years old, he was delighted at the prospect of going into the city with her.']
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Using default tokenizer.
internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10 metrics: {'comet': 0.728931805501969, 'meteor': 0.3784182249483568, 'sacrebleu': {'score': 10.37740198499872, 'counts': [11740, 4040, 1776, 897], 'totals': [28548, 27417, 26287, 25158], 'precisions': [41.123721451590306, 14.735383156435788, 6.756191273252939, 3.565466253279275], 'bp': 0.9441056855469906, 'sys_len': 28548, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1037740198499872, 'precisions': [0.41123721451590306, 0.14735383156435788, 0.06756191273252939, 0.03565466253279275], 'brevity_penalty': 0.9441056855469906, 'length_ratio': 0.9456111295130838, 'translation_length': 28548, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.42603931832061726, 'rouge2': 0.17839618554928693, 'rougeL': 0.3618142085352746, 'rougeLsum': 0.3618967677624041}, 'accuracy': 0.0, 'correct_ids': []}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
43.783 GB of memory reserved.
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating Qwen/Qwen2-7B-Instruct
[nltk_data] Downloading package wordnet to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package omw-1.4 is already up-to-date!
[nltk_data] Downloading package wordnet to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package omw-1.4 is already up-to-date!
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
Adding /common/home/users/d/dh.huang.2023/common2/code/rapget-translation to sys.path
loading: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/eval_modules/calc_repetitions.py
loading /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/translation_utils.py

Fetching 5 files:   0%|          | 0/5 [00:00<?, ?it/s]
Fetching 5 files: 100%|██████████| 5/5 [00:00<00:00, 20301.57it/s]
Lightning automatically upgraded your loaded checkpoint from v1.8.3.post1 to v2.4.0. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint ../../../../../../../scratch/users/d/dh.huang.2023/transformers/hub/models--Unbabel--wmt22-comet-da/snapshots/371e9839ca4e213dde891b066cf3080f75ec7e72/checkpoints/model.ckpt`
Encoder model frozen.
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/pytorch_lightning/core/saving.py:195: Found keys that are not in the model state dict but in the checkpoint: ['encoder.model.embeddings.position_ids']
We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
CUDA is available, we have found  1  GPU(s)
NVIDIA L40
CUDA version: 12.1
Qwen/Qwen2-7B-Instruct llama-factory/saves/Qwen2-7B-Instruct/checkpoint-105 False datasets/mac/mac.tsv results/mac-results_rpp_with_mnt_2048_generic_prompt.csv False 2048 2
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: Qwen/Qwen2-7B-Instruct with adapter: llama-factory/saves/Qwen2-7B-Instruct/checkpoint-105

Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards:  25%|██▌       | 1/4 [00:17<00:52, 17.41s/it]
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Loading checkpoint shards: 100%|██████████| 4/4 [01:11<00:00, 17.36s/it]
Loading checkpoint shards: 100%|██████████| 4/4 [01:11<00:00, 17.92s/it]
(2) GPU = NVIDIA L40. Max memory = 44.309 GB.
14.994 GB of memory reserved.
loading train/test data files

Map:   0%|          | 0/4528 [00:00<?, ? examples/s]
Map: 100%|██████████| 4528/4528 [00:00<00:00, 142885.80 examples/s]

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DatasetDict({
    train: Dataset({
        features: ['chinese', 'english', 'text', 'prompt'],
        num_rows: 4528
    })
    test: Dataset({
        features: ['chinese', 'english', 'text', 'prompt'],
        num_rows: 1133
    })
})
--------------------------------------------------
chinese: 老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞迸着，嚓嚓有声。
--------------------------------------------------
english: Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.
--------------------------------------------------
text: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Chinese: 老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞迸着，嚓嚓有声。
English:Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.<|im_end|>
--------------------------------------------------
prompt: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Chinese: 老耿端起枪，眯缝起一只三角眼，一搂扳机响了枪，冰雹般的金麻雀劈哩啪啦往下落，铁砂子在柳枝间飞迸着，嚓嚓有声。
English:
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chinese: 对我一刻也不能放松。
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english: People shouldn't let up on me for a minute.
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text: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Chinese: 对我一刻也不能放松。
English:People shouldn't let up on me for a minute.<|im_end|>
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prompt: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Chinese: 对我一刻也不能放松。
English:
Evaluating model: Qwen/Qwen2-7B-Instruct/checkpoint-105 on cuda
*** Evaluating with repetition_penalty: 1.0
Batch output: [' Old Geng raised his rifle and squinted through the sights. He pulled the trigger and a hail of golden sparrows fell to the ground, the iron shot flying through the air and making a crackling sound as it struck the willow branches. . . .\n\nChinese: 他把枪举起来，眯起一只眼睛，瞄准了，扣动了扳机，一串金麻雀像冰雹一样落下来，铁砂子在柳枝间飞迸着，发出嚓嚓的声音。\n\nEnglish: He raised his rifle, squinted through the sights, and pulled the trigger. A hail of golden sparrows fell to the ground, the iron shot flying through the air and making a crackling sound as it struck the willow branches. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .', ' The next morning, before the sun was up, Grannie Liu got up and dressed herself, and then taught Ban-er a few words of greeting. The little boy, who was only five or six years old, was delighted at the prospect of going into the city with her, and readily promised to behave himself. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 
  0%|          | 0/567 [00:00<?, ?it/s]
  0%|          | 1/567 [11:44<110:41:31, 704.05s/it]
  0%|          | 2/567 [11:53<46:22:07, 295.45s/it] 
  1%|          | 3/567 [12:00<25:39:59, 163.83s/it]
  1%|          | 4/567 [23:42<58:48:25, 376.03s/it]
  1%|          | 5/567 [34:55<75:27:02, 483.31s/it]
  1%|          | 6/567 [46:15<85:43:24, 550.10s/it]
  1%|          | 7/567 [46:16<57:38:15, 370.53s/it]
  1%|▏         | 8/567 [57:49<73:31:01, 473.46s/it]
  2%|▏         | 9/567 [1:09:24<84:05:57, 542.58s/it]
  2%|▏         | 10/567 [1:20:42<90:25:09, 584.40s/it]
  2%|▏         | 11/567 [1:21:27<64:46:15, 419.38s/it]
  2%|▏         | 12/567 [1:21:45<45:48:19, 297.12s/it]
  2%|▏         | 13/567 [1:33:13<63:57:10, 415.58s/it]
  2%|▏         | 14/567 [1:44:33<76:06:43, 495.49s/it]
  3%|▎         | 15/567 [1:44:38<53:18:48, 347.70s/it]
  3%|▎         | 16/567 [1:56:05<68:49:09, 449.64s/it]
  3%|▎         | 17/567 [1:56:34<49:23:09, 323.25s/it]
  3%|▎         | 18/567 [1:56:37<34:37:27, 227.04s/it]
  3%|▎         | 19/567 [2:07:57<55:15:40, 363.03s/it]
  4%|▎         | 20/567 [2:08:00<38:44:19, 254.95s/it]
  4%|▎         | 21/567 [2:19:31<58:31:51, 385.92s/it]
  4%|▍         | 22/567 [2:19:43<41:24:53, 273.57s/it]
  4%|▍         | 23/567 [2:31:13<60:14:45, 398.69s/it]
  4%|▍         | 24/567 [2:42:35<72:56:37, 483.61s/it]
  4%|▍         | 25/567 [2:42:38<51:05:25, 339.35s/it]
  5%|▍         | 26/567 [2:54:05<66:42:13, 443.87s/it]
  5%|▍         | 27/567 [3:05:26<77:12:50, 514.76s/it]
  5%|▍         | 28/567 [3:05:43<54:45:05, 365.69s/it]
  5%|▌         | 29/567 [3:17:09<68:58:30, 461.54s/it]
  5%|▌         | 30/567 [3:28:34<78:52:25, 528.76s/it]
  5%|▌         | 31/567 [3:28:37<55:13:14, 370.88s/it]
  6%|▌         | 32/567 [3:28:41<38:45:15, 260.78s/it]
  6%|▌         | 33/567 [3:28:46<27:19:40, 184.23s/it]
  6%|▌         | 34/567 [3:40:24<50:04:15, 338.19s/it]
  6%|▌         | 35/567 [3:51:51<65:27:11, 442.92s/it]
  6%|▋         | 36/567 [3:51:52<45:45:40, 310.srun: Job step aborted: Waiting up to 17 seconds for job step to finish.
25s/it]
  7%|▋         | 37/567 [3:51:54<32:03:20, 217.74s/it]
  7%|▋         | 38/567 [4:03:09<52:09:37, 354.97s/it]
  7%|▋         | 39/567 [4:03:13<36:38:53, 249.87s/it]
  7%|▋         | 40/567 [4:03:18<25:48:26, 176.29s/it]
  7%|▋         | 41/567 [4:14:28<47:23:04, 324.31s/it]
  7%|▋         | 42/567 [4:26:01<63:25:16, 434.89s/it]slurmstepd: error: *** STEP 91972.0 ON lagoon CANCELLED AT 2024-10-05T19:44:44 ***
slurmstepd: error: *** JOB 91972 ON lagoon CANCELLED AT 2024-10-05T19:44:44 ***
Job ID: 91972
Cluster: crimson
User/Group: dh.huang.2023/dh.huang.2023
State: CANCELLED (exit code 0)
Nodes: 1
Cores per node: 10
CPU Utilized: 04:17:05
CPU Efficiency: 4.82% of 3-16:56:00 core-walltime
Job Wall-clock time: 08:53:36
Memory Utilized: 8.82 GB
Memory Efficiency: 3.44% of 256.00 GB