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
Mon Aug 26 11:15:31 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   34C    P8             35W /  300W |       1MiB /  46068MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+
Linux lexicon 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
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LOGO="fedora-logo-icon"
CPE_NAME="cpe:/o:rocky:rocky:8:GA"
HOME_URL="https://rockylinux.org/"
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ROCKY_SUPPORT_PRODUCT="Rocky-Linux-8"
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MemTotal:       527669564 kB
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating microsoft/Phi-3.5-mini-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!
`flash-attention` package not found, consider installing for better performance: No module named 'flash_attn'.
Current `flash-attention` does not support `window_size`. Either upgrade or use `attn_implementation='eager'`.
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
microsoft/Phi-3.5-mini-instruct llama-factory/saves/Phi-3.5-mini-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: microsoft/Phi-3.5-mini-instruct on cuda
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: microsoft/Phi-3.5-mini-instruct with adapter: None

Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards:  50%|█████     | 1/2 [00:21<00:21, 21.74s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:33<00:00, 15.71s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:33<00:00, 16.61s/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: <|system|>
You are a helpful assistant that translates Chinese to English.<|end|>
<|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:<|end|>
<|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.<|endoftext|>
--------------------------------------------------
prompt: <|system|>
You are a helpful assistant that translates Chinese to English.<|end|>
<|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:<|end|>
<|assistant|>

(1) GPU = NVIDIA L40. Max memory = 44.309 GB.
7.119 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/Phi-3.5-mini-instruct/checkpoint-35

  0%|          | 0/1133 [00:00<?, ?it/s]The `seen_tokens` attribute is deprecated and will be removed in v4.41. Use the `cache_position` model input instead.
You are not running the flash-attention implementation, expect numerical differences.

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Batch output: ['Old Man Guan stood up and took aim with his rifle. He closed his eyes and pressed the trigger. The goldfinch flew down, and the sand grains flew out from between the leaves of the willow.']
microsoft/Phi-3.5-mini-instruct/epochs-01 metrics: {'meteor': 0.3461008336476415, 'sacrebleu': {'score': 9.405371198208439, 'counts': [11679, 3809, 1557, 738], 'totals': [29495, 28362, 27229, 26098], 'precisions': [39.596541786743515, 13.4299414709823, 5.71816812956774, 2.827802896773699], 'bp': 0.9767121313852053, 'sys_len': 29495, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.0940537119820844, 'precisions': [0.39596541786743517, 0.134299414709823, 0.057181681295677404, 0.02827802896773699], 'brevity_penalty': 0.9767121313852053, 'length_ratio': 0.9769791321629678, 'translation_length': 29495, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.3771346377023382, 'rouge2': 0.14518495740270299, 'rougeL': 0.32281221306466956, 'rougeLsum': 0.3228717023919845}, 'accuracy': 0.00441306266548985, 'correct_ids': [77, 170, 348, 659, 1000]}
Epoch 2
loading adapter: llama-factory/saves/Phi-3.5-mini-instruct/checkpoint-70

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Batch output: ['Old Trinket raised his gun, and peered through the three-cornered window. He pulled the trigger, and the sound of the gun echoed through the willows. The gold-colored jewel-birds flew down, and the sand flew out in a shower.']
microsoft/Phi-3.5-mini-instruct/epochs-02 metrics: {'meteor': 0.3565413553566557, 'sacrebleu': {'score': 10.050233220049344, 'counts': [11797, 3993, 1699, 830], 'totals': [28286, 27153, 26020, 24889], 'precisions': [41.706144382379975, 14.70555739697271, 6.529592621060723, 3.3348065410422274], 'bp': 0.9349030439416464, 'sys_len': 28286, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.10050233220049345, 'precisions': [0.4170614438237998, 0.1470555739697271, 0.06529592621060723, 0.033348065410422276], 'brevity_penalty': 0.9349030439416464, 'length_ratio': 0.9369327591917853, 'translation_length': 28286, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.3938115202534637, 'rouge2': 0.1555146314551682, 'rougeL': 0.3402415409374824, 'rougeLsum': 0.3397854351534719}, 'accuracy': 0.00264783759929391, 'correct_ids': [77, 348, 1000]}
Epoch 3
loading adapter: llama-factory/saves/Phi-3.5-mini-instruct/checkpoint-105

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Batch output: ['Old Geng raised his gun and closed one eye, then pulled the trigger. The sound of the shot echoed through the trees, and the goldfinch fell to the ground, its wings flapping as it fell. The sand flew through the branches, making a rustling sound.']
microsoft/Phi-3.5-mini-instruct/epochs-03 metrics: {'meteor': 0.3675231388720315, 'sacrebleu': {'score': 10.6887764587151, 'counts': [11976, 4197, 1842, 918], 'totals': [28309, 27176, 26044, 24913], 'precisions': [42.30456745204705, 15.443773918163085, 7.072646290892336, 3.684823184682696], 'bp': 0.9357140979416243, 'sys_len': 28309, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.106887764587151, 'precisions': [0.42304567452047054, 0.15443773918163084, 0.07072646290892336, 0.03684823184682696], 'brevity_penalty': 0.9357140979416243, 'length_ratio': 0.9376946008612124, 'translation_length': 28309, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.39931383119872066, 'rouge2': 0.16430081227007626, 'rougeL': 0.3459008284299955, 'rougeLsum': 0.34593228525022796}, 'accuracy': 0.00706090026478376, 'correct_ids': [77, 348, 364, 531, 659, 778, 893, 1011]}
Epoch 4
loading adapter: llama-factory/saves/Phi-3.5-mini-instruct/checkpoint-140

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Batch output: ['Old Geng raised his rifle, his eyes narrowed into a triangular slit, and he pulled the trigger. The sound of the shot echoed through the air, and the golden jays flew down, their wings beating against the leaves of the willows. The sand flew in all directions, making a hissing sound.']
microsoft/Phi-3.5-mini-instruct/epochs-04 metrics: {'meteor': 0.37825690857039723, 'sacrebleu': {'score': 11.27474424704296, 'counts': [12266, 4369, 1975, 997], 'totals': [29382, 28249, 27118, 25990], 'precisions': [41.74664760737867, 15.46603419590074, 7.282985470904934, 3.8360908041554445], 'bp': 0.972874848109707, 'sys_len': 29382, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11274744247042957, 'precisions': [0.4174664760737867, 0.1546603419590074, 0.07282985470904935, 0.038360908041554447], 'brevity_penalty': 0.972874848109707, 'length_ratio': 0.9732361709175223, 'translation_length': 29382, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4121286582846163, 'rouge2': 0.172941343730326, 'rougeL': 0.3585320143279412, 'rougeLsum': 0.3587174849801652}, 'accuracy': 0.00706090026478376, 'correct_ids': [77, 348, 364, 531, 659, 778, 893, 1000]}
Epoch 5
loading adapter: llama-factory/saves/Phi-3.5-mini-instruct/checkpoint-175

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Batch output: ['Old Geng raised his rifle and peered through the three-cornered window. He pulled the trigger and the gun cracked. A shower of golden jays fell to the ground, and the iron sand flew between the leaves of the willows.']
microsoft/Phi-3.5-mini-instruct/epochs-05 metrics: {'meteor': 0.3803177888668178, 'sacrebleu': {'score': 11.472004446582794, 'counts': [12359, 4450, 2025, 1015], 'totals': [29244, 28111, 26981, 25853], 'precisions': [42.26166051155793, 15.830102095265199, 7.5052814943849375, 3.9260433992186594], 'bp': 0.9681691009144924, 'sys_len': 29244, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11472004446582795, 'precisions': [0.42261660511557925, 0.158301020952652, 0.07505281494384937, 0.039260433992186594], 'brevity_penalty': 0.9681691009144924, 'length_ratio': 0.9686651209009606, 'translation_length': 29244, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4141686517638089, 'rouge2': 0.17541797443604507, 'rougeL': 0.3612916704121302, 'rougeLsum': 0.36110699966796483}, 'accuracy': 0.00706090026478376, 'correct_ids': [77, 348, 364, 419, 659, 778, 893, 1000]}
Epoch 6
loading adapter: llama-factory/saves/Phi-3.5-mini-instruct/checkpoint-210

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Batch output: ['Old Geng raised his gun, his eyes narrowed into a triangular slit, and he pulled the trigger. The sound of the shot echoed through the air, and the golden jays flew down, their wings beating against the leaves of the willows. The iron sand flew in all directions.']
microsoft/Phi-3.5-mini-instruct/epochs-06 metrics: {'meteor': 0.38106943554880074, 'sacrebleu': {'score': 11.286090634971057, 'counts': [12333, 4386, 1965, 997], 'totals': [29421, 28288, 27158, 26029], 'precisions': [41.91903742224942, 15.504807692307692, 7.235437071949334, 3.830343078873564], 'bp': 0.9742008425631606, 'sys_len': 29421, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11286090634971058, 'precisions': [0.4191903742224941, 0.15504807692307693, 0.07235437071949334, 0.03830343078873564], 'brevity_penalty': 0.9742008425631606, 'length_ratio': 0.9745279894004637, 'translation_length': 29421, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.41312758461121235, 'rouge2': 0.1754468957134191, 'rougeL': 0.35927799037094316, 'rougeLsum': 0.3593331080524794}, 'accuracy': 0.00794351279788173, 'correct_ids': [77, 348, 364, 419, 659, 778, 893, 1000, 1011]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
8.547 GB of memory reserved.
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating microsoft/Phi-3.5-mini-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!
`flash-attention` package not found, consider installing for better performance: No module named 'flash_attn'.
Current `flash-attention` does not support `window_size`. Either upgrade or use `attn_implementation='eager'`.
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
CUDA is available, we have found  1  GPU(s)
NVIDIA L40
CUDA version: 12.1
microsoft/Phi-3.5-mini-instruct llama-factory/saves/Phi-3.5-mini-instruct/best_checkpoint False datasets/mac/mac.tsv results/mac-results_rpp_with_mnt_2048.csv False 2048 2
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: microsoft/Phi-3.5-mini-instruct with adapter: llama-factory/saves/Phi-3.5-mini-instruct/best_checkpoint

Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards:  50%|█████     | 1/2 [00:21<00:21, 21.19s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:32<00:00, 15.23s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:32<00:00, 16.13s/it]
Traceback (most recent call last):
  File "/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/transformers/utils/hub.py", line 402, in cached_file
    resolved_file = hf_hub_download(
                    ^^^^^^^^^^^^^^^^
  File "/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
    validate_repo_id(arg_value)
  File "/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
    raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'llama-factory/saves/Phi-3.5-mini-instruct/best_checkpoint'. Use `repo_type` argument if needed.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/eval_rpp.py", line 55, in <module>
    model, tokenizer = load_model(
                       ^^^^^^^^^^^
  File "/common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/llm_utils.py", line 99, in load_model
    adapter_name = model.load_adapter(adapter_name_or_path)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/transformers/integrations/peft.py", line 176, in load_adapter
    adapter_config_file = find_adapter_config_file(
                          ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/transformers/utils/peft_utils.py", line 88, in find_adapter_config_file
    adapter_cached_filename = cached_file(
                              ^^^^^^^^^^^^
  File "/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/transformers/utils/hub.py", line 466, in cached_file
    raise EnvironmentError(
OSError: Incorrect path_or_model_id: 'llama-factory/saves/Phi-3.5-mini-instruct/best_checkpoint'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
srun: error: lexicon: task 0: Exited with exit code 1
srun: Terminating StepId=80154.0
Job ID: 80154
Cluster: crimson
User/Group: dh.huang.2023/dh.huang.2023
State: FAILED (exit code 1)
Nodes: 1
Cores per node: 10
CPU Utilized: 03:11:34
CPU Efficiency: 9.88% of 1-08:19:50 core-walltime
Job Wall-clock time: 03:13:59
Memory Utilized: 4.18 GB
Memory Efficiency: 1.63% of 256.00 GB