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
Fri Aug  9 06:56:46 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 L40                     On  |   00000000:01:00.0 Off |                    0 |
| N/A   38C    P0             79W /  300W |   25036MiB /  46068MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
+-----------------------------------------------------------------------------------------+
Linux lithium 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:            4890.62
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
MemTotal:       527670712 kB
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating internlm/internlm2_5-7b-chat
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--meteor/ea1b63f27faab173b022be2d3cc3df2fc44a894247f833943ea98c8a7caeb1e8 (last modified on Wed Jun 19 06:03:37 2024) since it couldn't be found locally at evaluate-metric--meteor, or remotely on the Hugging Face Hub.
[nltk_data] Error loading wordnet: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading punkt: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading omw-1.4: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--bleu/9e0985c1200e367cce45605ce0ecb5ede079894e0f24f54613fca08eeb8aff76 (last modified on Wed May  8 07:48:30 2024) since it couldn't be found locally at evaluate-metric--bleu, or remotely on the Hugging Face Hub.
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--rouge/b01e0accf3bd6dd24839b769a5fda24e14995071570870922c71970b3a6ed886 (last modified on Wed May  8 07:48:31 2024) since it couldn't be found locally at evaluate-metric--rouge, or remotely on the Hugging Face Hub.
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--meteor/ea1b63f27faab173b022be2d3cc3df2fc44a894247f833943ea98c8a7caeb1e8 (last modified on Wed Jun 19 06:03:37 2024) since it couldn't be found locally at evaluate-metric--meteor, or remotely on the Hugging Face Hub.
[nltk_data] Error loading wordnet: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading punkt: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading omw-1.4: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--accuracy/f887c0aab52c2d38e1f8a215681126379eca617f96c447638f751434e8e65b14 (last modified on Wed Jun 19 06:03:39 2024) since it couldn't be found locally at evaluate-metric--accuracy, or remotely on the Hugging Face Hub.
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
workding dir: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation
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
internlm/internlm2_5-7b-chat llama-factory/saves/internlm2_5-7b-chat False 2 results/mac-results_fine_tuned.csv
CUDA is available, we have found  1  GPU(s)
NVIDIA L40
CUDA version: 12.1
Evaluating model: internlm/internlm2_5-7b-chat on cuda
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: internlm/internlm2_5-7b-chat with adapter: None

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loading train/test data files
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: <s><|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
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:<|im_end|>
<|im_start|>assistant
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: <s><|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
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:<|im_end|>
<|im_start|>assistant

(1) GPU = NVIDIA L40. Max memory = 44.309 GB.
14.416 GB of memory reserved.
found 6 checkpoints: ['checkpoint-35', 'checkpoint-70', 'checkpoint-105', 'checkpoint-140', 'checkpoint-175', 'checkpoint-210']
Running from epoch 2 to 6
Epoch 2
loading adapter: llama-factory/saves/internlm2_5-7b-chat/checkpoint-70

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Batch output: ['Old Geng raised his gun and squinted one eye. He pulled the trigger, and the goldfinches fell like hailstones. The iron sand flew out of the willow branches, making a scratching sound.']
internlm/internlm2_5-7b-chat/epochs-02 metrics: {'meteor': 0.405713455583672, 'bleu_scores': {'bleu': 0.13753748302298172, 'precisions': [0.47832613311854727, 0.19919025247316757, 0.10116576173746407, 0.056568274939376204], 'brevity_penalty': 0.9000598764959729, 'length_ratio': 0.904736667770785, 'translation_length': 27314, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4472493261859174, 'rouge2': 0.20505786333744458, 'rougeL': 0.3932482879151573, 'rougeLsum': 0.39339633263070295}, 'accuracy': 0.00794351279788173, 'correct_ids': [77, 240, 348, 364, 533, 658, 893, 1000, 1039]}
Epoch 3
loading adapter: llama-factory/saves/internlm2_5-7b-chat/checkpoint-105

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Batch output: ['Old Geng raised his rifle, squinted one eye, and fired. The goldfinches fell like hailstones, and the iron sand flew up among the willow branches, making a crackling sound.']
internlm/internlm2_5-7b-chat/epochs-03 metrics: {'meteor': 0.42079087674686305, 'bleu_scores': {'bleu': 0.14373116959191262, 'precisions': [0.4765059809469236, 0.20202321848519914, 0.10399126909884628, 0.05899861371605643], 'brevity_penalty': 0.9219850473427896, 'length_ratio': 0.9248757866843326, 'translation_length': 27922, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4589085373212086, 'rouge2': 0.2175134058013937, 'rougeL': 0.4039024086849493, 'rougeLsum': 0.40403380971377845}, 'accuracy': 0.01059135039717564, 'correct_ids': [77, 348, 364, 444, 533, 567, 658, 659, 712, 893, 1000, 1011]}
Epoch 4
loading adapter: llama-factory/saves/internlm2_5-7b-chat/checkpoint-140

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Batch output: ['Old Geng raised his rifle, squinted through the sight, and fired. A hailstorm of gold orioles fell to the ground, scattering iron shot among the willow branches, which crackled and snapped.']
internlm/internlm2_5-7b-chat/epochs-04 metrics: {'meteor': 0.43109257715818944, 'bleu_scores': {'bleu': 0.15104730801059035, 'precisions': [0.4933098720627589, 0.21399066778857187, 0.11373176094343394, 0.0664405928158754], 'brevity_penalty': 0.8987843752101641, 'length_ratio': 0.9035773434912222, 'translation_length': 27279, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4693012118481829, 'rouge2': 0.2254118715720055, 'rougeL': 0.411379036414646, 'rougeLsum': 0.41120449172269147}, 'accuracy': 0.01235657546337158, 'correct_ids': [41, 77, 193, 272, 348, 444, 533, 567, 658, 659, 712, 778, 893, 1011]}
Epoch 5
loading adapter: llama-factory/saves/internlm2_5-7b-chat/checkpoint-175

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Batch output: ['Old Geng raised his rifle, squinted through the sight, and fired. A hailstorm of gold sparrows fell to the ground, scattering iron shot among the willow branches, which crackled and snapped.']
internlm/internlm2_5-7b-chat/epochs-05 metrics: {'meteor': 0.42514967029830547, 'bleu_scores': {'bleu': 0.14854584268440438, 'precisions': [0.48726033851618283, 0.2089727114672311, 0.10980376673115648, 0.0634763203570543], 'brevity_penalty': 0.9101031054432023, 'length_ratio': 0.9139118913547533, 'translation_length': 27591, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46249428161600936, 'rouge2': 0.21974808646922983, 'rougeL': 0.4051524192625558, 'rougeLsum': 0.4051150287056644}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 77, 133, 193, 348, 533, 567, 658, 659, 712, 778, 1011]}
Epoch 6
loading adapter: llama-factory/saves/internlm2_5-7b-chat/checkpoint-210

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Batch output: ['Old Geng raised his rifle, squinted through the sight, and fired. A hailstorm of gold sparrows fell to the ground, scattering iron shot among the willow branches, which crackled and snapped.']
internlm/internlm2_5-7b-chat/epochs-06 metrics: {'meteor': 0.42563667321739906, 'bleu_scores': {'bleu': 0.14867309965154313, 'precisions': [0.4894345457222795, 0.21071030694172332, 0.1119277108433735, 0.06608893189180093], 'brevity_penalty': 0.8945831371261386, 'length_ratio': 0.8997681351440875, 'translation_length': 27164, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4632555678332342, 'rouge2': 0.22287839303143825, 'rougeL': 0.4062217421666124, 'rougeLsum': 0.4062876748833082}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 133, 193, 348, 444, 533, 534, 567, 658, 659, 712, 778, 893, 1011]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
19.264 GB of memory reserved.
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating Qwen/Qwen2-7B-Instruct
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--meteor/ea1b63f27faab173b022be2d3cc3df2fc44a894247f833943ea98c8a7caeb1e8 (last modified on Wed Jun 19 06:03:37 2024) since it couldn't be found locally at evaluate-metric--meteor, or remotely on the Hugging Face Hub.
[nltk_data] Error loading wordnet: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading punkt: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading omw-1.4: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--bleu/9e0985c1200e367cce45605ce0ecb5ede079894e0f24f54613fca08eeb8aff76 (last modified on Wed May  8 07:48:30 2024) since it couldn't be found locally at evaluate-metric--bleu, or remotely on the Hugging Face Hub.
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--rouge/b01e0accf3bd6dd24839b769a5fda24e14995071570870922c71970b3a6ed886 (last modified on Wed May  8 07:48:31 2024) since it couldn't be found locally at evaluate-metric--rouge, or remotely on the Hugging Face Hub.
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--meteor/ea1b63f27faab173b022be2d3cc3df2fc44a894247f833943ea98c8a7caeb1e8 (last modified on Wed Jun 19 06:03:37 2024) since it couldn't be found locally at evaluate-metric--meteor, or remotely on the Hugging Face Hub.
[nltk_data] Error loading wordnet: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading punkt: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading omw-1.4: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--accuracy/f887c0aab52c2d38e1f8a215681126379eca617f96c447638f751434e8e65b14 (last modified on Wed Jun 19 06:03:39 2024) since it couldn't be found locally at evaluate-metric--accuracy, or remotely on the Hugging Face Hub.
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
workding dir: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation
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
Qwen/Qwen2-7B-Instruct llama-factory/saves/Qwen2-7B-Instruct False 1 results/mac-results_fine_tuned.csv
CUDA is available, we have found  1  GPU(s)
NVIDIA L40
CUDA version: 12.1
Evaluating model: Qwen/Qwen2-7B-Instruct on cuda
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: Qwen/Qwen2-7B-Instruct with adapter: None

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loading train/test data files
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: <|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
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:<|im_end|>
<|im_start|>assistant
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: <|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
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:<|im_end|>
<|im_start|>assistant

(1) GPU = NVIDIA L40. Max memory = 44.309 GB.
14.881 GB of memory reserved.
found 6 checkpoints: ['checkpoint-35', 'checkpoint-70', 'checkpoint-105', 'checkpoint-140', 'checkpoint-175', 'checkpoint-210']
Running from epoch 1 to 6
Epoch 1
loading adapter: llama-factory/saves/Qwen2-7B-Instruct/checkpoint-35

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Batch output: ['Old Geng raised his gun and squinted one of his triangular eyes. He pulled the trigger and a hail of golden sparrows fell from the sky, the iron shot whistling through the branches.']
Qwen/Qwen2-7B-Instruct/epochs-01 metrics: {'meteor': 0.4067704621958429, 'bleu_scores': {'bleu': 0.13127239146658307, 'precisions': [0.48056287825344374, 0.19647286821705426, 0.09708541083951518, 0.05254885301614273], 'brevity_penalty': 0.8860962371419981, 'length_ratio': 0.8921165948989732, 'translation_length': 26933, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4469782293058354, 'rouge2': 0.20131446529223485, 'rougeL': 0.39234794499854964, 'rougeLsum': 0.3922684571822735}, 'accuracy': 0.01059135039717564, 'correct_ids': [77, 240, 272, 348, 364, 533, 567, 659, 668, 778, 893, 1011]}
Epoch 2
loading adapter: llama-factory/saves/Qwen2-7B-Instruct/checkpoint-70

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Batch output: ['Old Geng raised his gun and squinted through one of his triangular eyes. He pulled the trigger and a hail of golden sparrows fell from the sky, the iron shot flying through the branches with a crackling sound.']
Qwen/Qwen2-7B-Instruct/epochs-02 metrics: {'meteor': 0.4276774030251161, 'bleu_scores': {'bleu': 0.14782459619004226, 'precisions': [0.4736586886495099, 0.2019251568245728, 0.10351437699680512, 0.05790217476642852], 'brevity_penalty': 0.9553419091969785, 'length_ratio': 0.956310036435906, 'translation_length': 28871, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4623054619954391, 'rouge2': 0.22053895524875428, 'rougeL': 0.4090030888738255, 'rougeLsum': 0.40864363540243465}, 'accuracy': 0.01235657546337158, 'correct_ids': [77, 240, 272, 348, 364, 533, 567, 617, 658, 659, 778, 813, 893, 1011]}
Epoch 3
loading adapter: llama-factory/saves/Qwen2-7B-Instruct/checkpoint-105

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Batch output: ['Old Geng raised his rifle and, squinting one of his triangular eyes, squeezed the trigger. The golden sparrows fell like hail, the iron shot flying through the air, making a crackling sound as it struck the willow branches.']
Qwen/Qwen2-7B-Instruct/epochs-03 metrics: {'meteor': 0.4440963225595562, 'bleu_scores': {'bleu': 0.15514758216718177, 'precisions': [0.4806391496410823, 0.20827497036957224, 0.10928082063569317, 0.06262705238467553], 'brevity_penalty': 0.9589687965342737, 'length_ratio': 0.9597880092745943, 'translation_length': 28976, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.47435597120065365, 'rouge2': 0.22969970970677933, 'rougeL': 0.4190988648363645, 'rougeLsum': 0.418702944344323}, 'accuracy': 0.01412180052956752, 'correct_ids': [41, 77, 133, 137, 193, 240, 272, 348, 419, 533, 567, 658, 659, 778, 813, 893]}
Epoch 4
loading adapter: llama-factory/saves/Qwen2-7B-Instruct/checkpoint-140

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Batch output: ['Old Geng raised his rifle and squinted through the sights. He pulled the trigger and a hailstorm of golden sparrows fell to the ground, the iron shot flying through the air and making a crackling sound.']
Qwen/Qwen2-7B-Instruct/epochs-04 metrics: {'meteor': 0.4401384600160434, 'bleu_scores': {'bleu': 0.1521782667722753, 'precisions': [0.4877454442717898, 0.209947393591583, 0.1092898272552783, 0.062444819006340795], 'brevity_penalty': 0.935960818388433, 'length_ratio': 0.9379264657171249, 'translation_length': 28316, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4736175923544133, 'rouge2': 0.22700173994188105, 'rougeL': 0.41612073009584544, 'rougeLsum': 0.4158752106752861}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 133, 193, 199, 240, 272, 348, 533, 534, 567, 658, 659, 778, 893]}
Epoch 5
loading adapter: llama-factory/saves/Qwen2-7B-Instruct/checkpoint-175

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Batch output: ['Old Geng raised his shotgun and squeezed the trigger. The pellets fell like a shower of hail, shattering the golden sparrows into pieces, which fell to the ground with a rustling sound.']
Qwen/Qwen2-7B-Instruct/epochs-05 metrics: {'meteor': 0.43567484838054477, 'bleu_scores': {'bleu': 0.14823012985329123, 'precisions': [0.4747751814173119, 0.20258059852537227, 0.10449954778414229, 0.058253955758482245], 'brevity_penalty': 0.9529169813315106, 'length_ratio': 0.9539913878767804, 'translation_length': 28801, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46289424603859514, 'rouge2': 0.21962393699090876, 'rougeL': 0.40624389391348625, 'rougeLsum': 0.4058980786799245}, 'accuracy': 0.01500441306266549, 'correct_ids': [41, 77, 133, 193, 240, 272, 309, 348, 364, 419, 511, 533, 534, 567, 658, 659, 1011]}
Epoch 6
loading adapter: llama-factory/saves/Qwen2-7B-Instruct/checkpoint-210

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Batch output: ['Old Geng raised his shotgun and squeezed the trigger. The pellets fell like a shower of hail, shattering the golden sparrows into pieces, which fell to the ground with a rustling sound.']
Qwen/Qwen2-7B-Instruct/epochs-06 metrics: {'meteor': 0.43615299592712675, 'bleu_scores': {'bleu': 0.1496535228242364, 'precisions': [0.4831496396778296, 0.2062925482980681, 0.10739930115578082, 0.061132741941958016], 'brevity_penalty': 0.935678847513988, 'length_ratio': 0.9376614773103676, 'translation_length': 28308, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46501358769537404, 'rouge2': 0.22186841751834424, 'rougeL': 0.4081722388851981, 'rougeLsum': 0.40782614999514244}, 'accuracy': 0.01500441306266549, 'correct_ids': [41, 77, 133, 193, 240, 272, 309, 348, 364, 419, 511, 533, 534, 567, 658, 659, 1011]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
19.336 GB of memory reserved.
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--meteor/ea1b63f27faab173b022be2d3cc3df2fc44a894247f833943ea98c8a7caeb1e8 (last modified on Wed Jun 19 06:03:37 2024) since it couldn't be found locally at evaluate-metric--meteor, or remotely on the Hugging Face Hub.
[nltk_data] Error loading wordnet: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading punkt: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading omw-1.4: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--bleu/9e0985c1200e367cce45605ce0ecb5ede079894e0f24f54613fca08eeb8aff76 (last modified on Wed May  8 07:48:30 2024) since it couldn't be found locally at evaluate-metric--bleu, or remotely on the Hugging Face Hub.
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--rouge/b01e0accf3bd6dd24839b769a5fda24e14995071570870922c71970b3a6ed886 (last modified on Wed May  8 07:48:31 2024) since it couldn't be found locally at evaluate-metric--rouge, or remotely on the Hugging Face Hub.
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--meteor/ea1b63f27faab173b022be2d3cc3df2fc44a894247f833943ea98c8a7caeb1e8 (last modified on Wed Jun 19 06:03:37 2024) since it couldn't be found locally at evaluate-metric--meteor, or remotely on the Hugging Face Hub.
[nltk_data] Error loading wordnet: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading punkt: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading omw-1.4: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--accuracy/f887c0aab52c2d38e1f8a215681126379eca617f96c447638f751434e8e65b14 (last modified on Wed Jun 19 06:03:39 2024) since it couldn't be found locally at evaluate-metric--accuracy, or remotely on the Hugging Face Hub.
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
workding dir: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation
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
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat False 1 results/mac-results_fine_tuned.csv
CUDA is available, we have found  1  GPU(s)
NVIDIA L40
CUDA version: 12.1
Evaluating model: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat on cuda
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat with adapter: None

Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
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loading train/test data files
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: <s>You are a helpful assistant that translates Chinese to English. [INST] 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: [/INST]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: <s>You are a helpful assistant that translates Chinese to English. [INST] 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: [/INST]
(1) GPU = NVIDIA L40. Max memory = 44.309 GB.
13.627 GB of memory reserved.
found 6 checkpoints: ['checkpoint-35', 'checkpoint-70', 'checkpoint-105', 'checkpoint-140', 'checkpoint-175', 'checkpoint-210']
Running from epoch 1 to 6
Epoch 1
loading adapter: llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat/checkpoint-35

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Batch output: ['Old Geng raised his gun, narrowed his eyes, and fired. The bullets flew like hail, and the iron pellets flew through the air, making a loud noise.']
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01 metrics: {'meteor': 0.37782528005607374, 'bleu_scores': {'bleu': 0.11352361179482934, 'precisions': [0.45221027479091996, 0.17246890959416786, 0.08218116562665688, 0.043095339888841386], 'brevity_penalty': 0.8805879479592296, 'length_ratio': 0.8871811858231202, 'translation_length': 26784, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4187311039453616, 'rouge2': 0.1810188219390365, 'rougeL': 0.36554852121083203, 'rougeLsum': 0.36496154283002713}, 'accuracy': 0.00706090026478376, 'correct_ids': [77, 170, 240, 348, 364, 659, 893, 1011]}
Epoch 2
loading adapter: llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70

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Batch output: ['Old Geng raised his shotgun, squinting through the barrel, and fired. The bullets flew like hail, tearing through the air with a loud crackling sound.']
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02 metrics: {'meteor': 0.4054562821280484, 'bleu_scores': {'bleu': 0.13468536163754963, 'precisions': [0.4635603345280765, 0.19174720628209, 0.09701845716990061, 0.055356037151702786], 'brevity_penalty': 0.911185352010841, 'length_ratio': 0.9149055978800927, 'translation_length': 27621, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.44063064910070704, 'rouge2': 0.20840455215725504, 'rougeL': 0.3851276450717819, 'rougeLsum': 0.384640828997149}, 'accuracy': 0.01147396293027361, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 501, 659, 712, 893, 1011]}
Epoch 3
loading adapter: llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat/checkpoint-105

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Batch output: ['Old Geng raised his shotgun, squinting through the barrel at the pigeons. The pump sent a volley of golden bullets flying downward, scattering gravel from the willow bushes.']
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03 metrics: {'meteor': 0.402731293761545, 'bleu_scores': {'bleu': 0.13298445922298713, 'precisions': [0.46451636443244426, 0.19072086473319633, 0.0969217308304168, 0.05467416198209452], 'brevity_penalty': 0.9034419679166117, 'length_ratio': 0.9078171579993375, 'translation_length': 27407, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.43473033178098797, 'rouge2': 0.1999973352456303, 'rougeL': 0.38044037130503605, 'rougeLsum': 0.379535897961087}, 'accuracy': 0.01235657546337158, 'correct_ids': [41, 170, 193, 199, 240, 348, 364, 419, 533, 659, 712, 778, 893, 1011]}
Epoch 4
loading adapter: llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat/checkpoint-140

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Batch output: ['Old Geng raised his shotgun, squinting through the barrel at the sky, and pulled the trigger. A shower of golden sparrows fell to the ground, like hail, as metal pellets flew through the willow bushes, crackling as they struck the ground.']
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04 metrics: {'meteor': 0.4005844795870538, 'bleu_scores': {'bleu': 0.12830936228203352, 'precisions': [0.45092122546061275, 0.18009320905459386, 0.08943874006021771, 0.04972152716119138], 'brevity_penalty': 0.930767712672891, 'length_ratio': 0.9330573037429613, 'translation_length': 28169, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.42831757939973925, 'rouge2': 0.19495163291210002, 'rougeL': 0.37166825238092516, 'rougeLsum': 0.3713037565592613}, 'accuracy': 0.01147396293027361, 'correct_ids': [41, 133, 170, 193, 240, 348, 364, 419, 533, 658, 659, 778, 1011]}
Epoch 5
loading adapter: llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat/checkpoint-175

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Batch output: ['Old Geng raised his shotgun, squinting through the barrel at the falling hail of golden sparrows, as the pump action sent a volley crashing down through the grass.']
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05 metrics: {'meteor': 0.3914924089360312, 'bleu_scores': {'bleu': 0.12389839982209969, 'precisions': [0.43504080569543324, 0.17066734147928567, 0.08371339188119559, 0.04601999842532084], 'brevity_penalty': 0.9527088692219498, 'length_ratio': 0.9537926465717125, 'translation_length': 28795, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.41745255525151825, 'rouge2': 0.18656619423846194, 'rougeL': 0.36157689345048744, 'rougeLsum': 0.361191912713763}, 'accuracy': 0.009708737864077669, 'correct_ids': [41, 133, 170, 193, 240, 348, 364, 419, 533, 658, 1011]}
Epoch 6
loading adapter: llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat/checkpoint-210

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Batch output: ['Old Geng raised his shotgun and squinted, turning the bolt on the side of the gun. A series of crisp cracklings fell from the sky like hail. The cartridges leaped from the barrels and fell into the grass below, and the spent shells hissed as they flew through the air.']
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06 metrics: {'meteor': 0.3843671339870232, 'bleu_scores': {'bleu': 0.11760109889558817, 'precisions': [0.4219629654751407, 0.15910132966529114, 0.07622511204173095, 0.041122140037557965], 'brevity_penalty': 0.9764070328637862, 'length_ratio': 0.9766810202053661, 'translation_length': 29486, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4091607284602756, 'rouge2': 0.17529332880381407, 'rougeL': 0.35218095646224656, 'rougeLsum': 0.3518394748511995}, 'accuracy': 0.00706090026478376, 'correct_ids': [41, 133, 193, 240, 348, 419, 658, 1011]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
14.721 GB of memory reserved.
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating shenzhi-wang/Llama3.1-8B-Chinese-Chat
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--meteor/ea1b63f27faab173b022be2d3cc3df2fc44a894247f833943ea98c8a7caeb1e8 (last modified on Wed Jun 19 06:03:37 2024) since it couldn't be found locally at evaluate-metric--meteor, or remotely on the Hugging Face Hub.
[nltk_data] Error loading wordnet: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading punkt: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading omw-1.4: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--bleu/9e0985c1200e367cce45605ce0ecb5ede079894e0f24f54613fca08eeb8aff76 (last modified on Wed May  8 07:48:30 2024) since it couldn't be found locally at evaluate-metric--bleu, or remotely on the Hugging Face Hub.
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--rouge/b01e0accf3bd6dd24839b769a5fda24e14995071570870922c71970b3a6ed886 (last modified on Wed May  8 07:48:31 2024) since it couldn't be found locally at evaluate-metric--rouge, or remotely on the Hugging Face Hub.
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--meteor/ea1b63f27faab173b022be2d3cc3df2fc44a894247f833943ea98c8a7caeb1e8 (last modified on Wed Jun 19 06:03:37 2024) since it couldn't be found locally at evaluate-metric--meteor, or remotely on the Hugging Face Hub.
[nltk_data] Error loading wordnet: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading punkt: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
[nltk_data] Error loading omw-1.4: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
Using the latest cached version of the module from /common/scratch/users/d/dh.huang.2023/transformers/modules/evaluate_modules/metrics/evaluate-metric--accuracy/f887c0aab52c2d38e1f8a215681126379eca617f96c447638f751434e8e65b14 (last modified on Wed Jun 19 06:03:39 2024) since it couldn't be found locally at evaluate-metric--accuracy, or remotely on the Hugging Face Hub.
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
workding dir: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation
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
shenzhi-wang/Llama3.1-8B-Chinese-Chat llama-factory/saves/Llama3.1-8B-Chinese-Chat False 1 results/mac-results_fine_tuned.csv
CUDA is available, we have found  1  GPU(s)
NVIDIA L40
CUDA version: 12.1
Evaluating model: shenzhi-wang/Llama3.1-8B-Chinese-Chat on cuda
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: shenzhi-wang/Llama3.1-8B-Chinese-Chat with adapter: None

Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|██████████| 4/4 [00:52<00:00, 13.13s/it]
loading train/test data files
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: <|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a helpful assistant that translates Chinese to English.<|eot_id|><|start_header_id|>user<|end_header_id|>

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:<|eot_id|><|start_header_id|>assistant<|end_header_id|>

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.<|eot_id|>
--------------------------------------------------
prompt: <|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a helpful assistant that translates Chinese to English.<|eot_id|><|start_header_id|>user<|end_header_id|>

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:<|eot_id|><|start_header_id|>assistant<|end_header_id|>


(1) GPU = NVIDIA L40. Max memory = 44.309 GB.
15.084 GB of memory reserved.
found 6 checkpoints: ['checkpoint-35', 'checkpoint-70', 'checkpoint-105', 'checkpoint-140', 'checkpoint-175', 'checkpoint-210']
Running from epoch 1 to 6
Epoch 1
loading adapter: llama-factory/saves/Llama3.1-8B-Chinese-Chat/checkpoint-35

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Batch output: ["Old Geng raised his gun, narrowed one eye, and pulled the trigger. The gold sparrow shot down like hail, and the iron sand flew out of the branches with a 'zhi-zhi' sound."]
shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01 metrics: {'meteor': 0.3923658249624111, 'bleu_scores': {'bleu': 0.12373115131146864, 'precisions': [0.450498198007208, 0.1762302624314476, 0.08503610385619911, 0.04533408287825249], 'brevity_penalty': 0.9354673205350037, 'length_ratio': 0.9374627360052997, 'translation_length': 28302, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.42377728249153657, 'rouge2': 0.18700298012090918, 'rougeL': 0.3708392100342982, 'rougeLsum': 0.37086054841675553}, 'accuracy': 0.00617828773168579, 'correct_ids': [77, 240, 348, 493, 659, 893, 1011]}
Epoch 2
loading adapter: llama-factory/saves/Llama3.1-8B-Chinese-Chat/checkpoint-70

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Batch output: ['Old Geng raised his rifle, narrowed one eye, and pulled the trigger. The goldfinch shot down like hail, and the iron sand flew through the branches, making a rattling sound.']
shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02 metrics: {'meteor': 0.41732267989538674, 'bleu_scores': {'bleu': 0.14079363167747627, 'precisions': [0.48070606071544597, 0.2012043658261197, 0.1023272269832534, 0.05685604969761797], 'brevity_penalty': 0.9141380580667161, 'length_ratio': 0.9176217290493541, 'translation_length': 27703, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.452618616608981, 'rouge2': 0.21105612819759856, 'rougeL': 0.3971391059073058, 'rougeLsum': 0.39701747985132646}, 'accuracy': 0.00794351279788173, 'correct_ids': [77, 240, 348, 493, 659, 778, 893, 1011, 1039]}
Epoch 3
loading adapter: llama-factory/saves/Llama3.1-8B-Chinese-Chat/checkpoint-105

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Batch output: ['Old Geng raised his gun, narrowed one eye, and pulled the trigger. The gold sparrow shot down like hail, and the iron sand flew through the willow branches, making a rattling sound.']
shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03 metrics: {'meteor': 0.4334939649612818, 'bleu_scores': {'bleu': 0.15393153718456823, 'precisions': [0.48381086306908067, 0.2096514352665495, 0.11076735036858791, 0.06386970580016765], 'brevity_penalty': 0.9404973404240601, 'length_ratio': 0.9421994037760848, 'translation_length': 28445, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46655851377173374, 'rouge2': 0.224758898004918, 'rougeL': 0.4093569526068163, 'rougeLsum': 0.40929049969914844}, 'accuracy': 0.0088261253309797, 'correct_ids': [77, 199, 240, 348, 413, 493, 659, 778, 893, 1011]}
Epoch 4
loading adapter: llama-factory/saves/Llama3.1-8B-Chinese-Chat/checkpoint-140

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Batch output: ['Old Geng raised his gun, narrowed one eye, and pulled the trigger. The hail of golden sparrows fell noisily, the iron sand flying through the willow branches made a rattling sound.']
shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04 metrics: {'meteor': 0.43283989187960353, 'bleu_scores': {'bleu': 0.15400852163016213, 'precisions': [0.48612046655085617, 0.21101425722095, 0.11204902867715079, 0.06483981462824905], 'brevity_penalty': 0.9321125608358636, 'length_ratio': 0.934315998675058, 'translation_length': 28207, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4663817559917838, 'rouge2': 0.2254704344007487, 'rougeL': 0.4083698302891831, 'rougeLsum': 0.4084950731254008}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 77, 133, 199, 240, 348, 413, 419, 659, 778, 893, 1011]}
Epoch 5
loading adapter: llama-factory/saves/Llama3.1-8B-Chinese-Chat/checkpoint-175

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Batch output: ['Old Geng raised his gun, narrowed one eye, and pulled the trigger. The hail of golden sparrows rained down, the pebbles flying through the willow branches made a rattling sound.']
shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05 metrics: {'meteor': 0.429451405009942, 'bleu_scores': {'bleu': 0.15110462885169834, 'precisions': [0.4773516718711624, 0.20626278865828704, 0.1085067459410016, 0.06185033255008164], 'brevity_penalty': 0.9424606807581813, 'length_ratio': 0.9440543226233852, 'translation_length': 28501, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.45888966686419996, 'rouge2': 0.22128196107104198, 'rougeL': 0.40319842652451826, 'rougeLsum': 0.40325629281355385}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 77, 133, 199, 240, 348, 419, 493, 534, 778, 893, 1011]}
Epoch 6
loading adapter: llama-factory/saves/Llama3.1-8B-Chinese-Chat/checkpoint-210

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Batch output: ['Old Geng raised his gun, narrowed one eye, and pulled the trigger. The hail of golden sparrows whizzed down, the pebbles flying through the willow branches made a rattling sound.']
shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06 metrics: {'meteor': 0.42653230159492395, 'bleu_scores': {'bleu': 0.14685735915467885, 'precisions': [0.47582921665490474, 0.20237438894402177, 0.10515013230049469, 0.059644059644059645], 'brevity_penalty': 0.9368062847868135, 'length_ratio': 0.9387214309373965, 'translation_length': 28340, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.45815142261921604, 'rouge2': 0.2171957329456209, 'rougeL': 0.40156121281487844, 'rougeLsum': 0.401288374658448}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 77, 133, 199, 240, 348, 413, 419, 534, 778, 893, 1011]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
19.332 GB of memory reserved.
Job ID: 76680
Cluster: crimson
User/Group: dh.huang.2023/dh.huang.2023
State: COMPLETED (exit code 0)
Nodes: 1
Cores per node: 10
CPU Utilized: 09:51:18
CPU Efficiency: 9.26% of 4-10:28:10 core-walltime
Job Wall-clock time: 10:38:49
Memory Utilized: 2.68 GB
Memory Efficiency: 1.05% of 256.00 GB