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value:
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batch_size:
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value: 3
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epoch:
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value: 7
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perturbation:
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value: reverse_control
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wandb/run-20241030_010641-fp8gbo2l/files/output.log
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Traceback (most recent call last):
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File "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py", line 162, in <module>
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dataset_name = f"babylm_{args.perturbation}_{args.train_zset}_seed{args.seed}"
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AttributeError: 'Namespace' object has no attribute 'train_zset'
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{
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"10M",
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},
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{"time":"2024-10-30T01:06:41.435404628-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
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wandb/run-20241030_010641-fp8gbo2l/logs/debug.log
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_setup.py:_flush():79] Configure stats pid to 321594
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_setup.py:_flush():79] Loading settings from /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/settings
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
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| 7 |
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_setup.py:_flush():79] Inferring run settings from compute environment: {'program_relpath': 'train/train_deep_wandb.py', 'program_abspath': '/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py', 'program': '/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py'}
|
| 8 |
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_setup.py:_flush():79] Applying login settings: {}
|
| 9 |
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2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_init.py:_log_setup():534] Logging user logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241030_010641-fp8gbo2l/logs/debug.log
|
| 10 |
+
2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_init.py:_log_setup():535] Logging internal logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241030_010641-fp8gbo2l/logs/debug-internal.log
|
| 11 |
+
2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_init.py:init():621] calling init triggers
|
| 12 |
+
2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
|
| 13 |
+
config: {}
|
| 14 |
+
2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_init.py:init():671] starting backend
|
| 15 |
+
2024-10-30 01:06:41,431 INFO MainThread:321594 [wandb_init.py:init():675] sending inform_init request
|
| 16 |
+
2024-10-30 01:06:41,432 INFO MainThread:321594 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
| 17 |
+
2024-10-30 01:06:41,432 INFO MainThread:321594 [wandb_init.py:init():688] backend started and connected
|
| 18 |
+
2024-10-30 01:06:41,436 INFO MainThread:321594 [wandb_init.py:init():783] updated telemetry
|
| 19 |
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2024-10-30 01:06:41,456 INFO MainThread:321594 [wandb_init.py:init():816] communicating run to backend with 90.0 second timeout
|
| 20 |
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2024-10-30 01:06:43,029 INFO MainThread:321594 [wandb_init.py:init():867] starting run threads in backend
|
| 21 |
+
2024-10-30 01:06:43,125 INFO MainThread:321594 [wandb_run.py:_console_start():2463] atexit reg
|
| 22 |
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2024-10-30 01:06:43,125 INFO MainThread:321594 [wandb_run.py:_redirect():2311] redirect: wrap_raw
|
| 23 |
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2024-10-30 01:06:43,125 INFO MainThread:321594 [wandb_run.py:_redirect():2376] Wrapping output streams.
|
| 24 |
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2024-10-30 01:06:43,125 INFO MainThread:321594 [wandb_run.py:_redirect():2401] Redirects installed.
|
| 25 |
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2024-10-30 01:06:43,128 INFO MainThread:321594 [wandb_init.py:init():911] run started, returning control to user process
|
| 26 |
+
2024-10-30 01:06:43,128 INFO MainThread:321594 [wandb_run.py:_config_callback():1390] config_cb None None {'perturbation': 'reverse_control', 'train_set': '10M', 'batch_size': 3, 'epoch': 7, 'seed': 0}
|
| 27 |
+
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|
wandb/run-20241030_010641-fp8gbo2l/run-fp8gbo2l.wandb
ADDED
|
Binary file (1.57 kB). View file
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|
wandb/run-20241030_011509-zmlu7388/files/output.log
ADDED
|
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| 1 |
+
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:04<00:00, 2.33s/it]
|
| 2 |
+
Map: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 17519/17519 [00:52<00:00, 336.12 examples/s]
|
| 3 |
+
Map: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 18140/18140 [00:53<00:00, 341.91 examples/s]
|
| 4 |
+
tokenized_valid: Dataset({
|
| 5 |
+
features: ['input_ids', 'attention_mask'],
|
| 6 |
+
num_rows: 600
|
| 7 |
+
})
|
| 8 |
+
/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/transformers/training_args.py:1545: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
|
| 9 |
+
warnings.warn(
|
| 10 |
+
[2024-10-30 01:17:01,020] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 11 |
+
[2024-10-30 01:17:07,829] [INFO] [comm.py:652:init_distributed] cdb=None
|
| 12 |
+
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
|
| 13 |
+
Using /home/chunhui/.cache/torch_extensions/py39_cu117 as PyTorch extensions root...
|
| 14 |
+
Loading extension module cpu_adam...
|
| 15 |
+
Time to load cpu_adam op: 4.184397220611572 seconds
|
wandb/run-20241030_011509-zmlu7388/files/requirements.txt
ADDED
|
@@ -0,0 +1,147 @@
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|
|
|
| 1 |
+
funcsigs==1.0.2
|
| 2 |
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sentry-sdk==2.17.0
|
| 3 |
+
multiprocess==0.70.16
|
| 4 |
+
numpy==1.26.2
|
| 5 |
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pluralizer==1.2.0
|
| 6 |
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debugpy==1.6.7
|
| 7 |
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nvidia-cudnn-cu11==8.5.0.96
|
| 8 |
+
deepspeed==0.15.2
|
| 9 |
+
data==0.4
|
| 10 |
+
pandas==2.1.3
|
| 11 |
+
tomli==2.0.1
|
| 12 |
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charset-normalizer==3.3.2
|
| 13 |
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attrs==24.2.0
|
| 14 |
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aiosignal==1.3.1
|
| 15 |
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fsspec==2023.10.0
|
| 16 |
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nvidia-cusparse-cu11==11.7.4.91
|
| 17 |
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zipp==3.12.0
|
| 18 |
+
mypy-extensions==1.0.0
|
| 19 |
+
datasets==3.0.1
|
| 20 |
+
joblib==1.3.2
|
| 21 |
+
hjson==3.1.0
|
| 22 |
+
traitlets==5.7.1
|
| 23 |
+
stack-data==0.6.0
|
| 24 |
+
transformers==4.45.1
|
| 25 |
+
sympy==1.11.1
|
| 26 |
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Pygments==2.15.0
|
| 27 |
+
docker-pycreds==0.4.0
|
| 28 |
+
dill==0.3.8
|
| 29 |
+
wheel==0.44.0
|
| 30 |
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prompt-toolkit==3.0.30
|
| 31 |
+
parso==0.8.3
|
| 32 |
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ipykernel==6.23.1
|
| 33 |
+
pyarrow==17.0.0
|
| 34 |
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certifi==2023.11.17
|
| 35 |
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nvidia-cufft-cu11==10.9.0.58
|
| 36 |
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six==1.16.0
|
| 37 |
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pydantic==2.9.2
|
| 38 |
+
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|
| 39 |
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nest-asyncio==1.5.6
|
| 40 |
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gmpy2==2.1.0
|
| 41 |
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matplotlib==3.8.2
|
| 42 |
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scipy==1.11.4
|
| 43 |
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typing_extensions==4.12.2
|
| 44 |
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statsmodels==0.14.0
|
| 45 |
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huggingface-hub==0.25.0
|
| 46 |
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frozenlist==1.4.1
|
| 47 |
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gpustat==1.1.1
|
| 48 |
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nvidia-nvtx-cu11==11.7.91
|
| 49 |
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safetensors==0.4.5
|
| 50 |
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stanza==1.9.2
|
| 51 |
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decorator==5.1.1
|
| 52 |
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seaborn==0.13.0
|
| 53 |
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sentencepiece==0.2.0
|
| 54 |
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PyYAML==6.0.1
|
| 55 |
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black==24.8.0
|
| 56 |
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protobuf==4.25.1
|
| 57 |
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pickleshare==0.7.5
|
| 58 |
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peft==0.13.0
|
| 59 |
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triton==2.0.0
|
| 60 |
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nvidia-cuda-runtime-cu11==11.7.99
|
| 61 |
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Jinja2==3.1.2
|
| 62 |
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nvidia-cusolver-cu11==11.4.0.1
|
| 63 |
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executing==1.2.0
|
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|
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|
| 67 |
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pytz==2023.3.post1
|
| 68 |
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aiohappyeyeballs==2.4.2
|
| 69 |
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kiwisolver==1.4.5
|
| 70 |
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py-cpuinfo==9.0.0
|
| 71 |
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Pillow==10.1.0
|
| 72 |
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ptyprocess==0.7.0
|
| 73 |
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importlib_resources==6.4.5
|
| 74 |
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GitPython==3.1.43
|
| 75 |
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importlib-metadata==6.0.0
|
| 76 |
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iniconfig==2.0.0
|
| 77 |
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scikit-learn==1.3.2
|
| 78 |
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exceptiongroup==1.1.0
|
| 79 |
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networkx==2.8.6
|
| 80 |
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accelerate==1.0.0
|
| 81 |
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nltk==3.8.1
|
| 82 |
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shutilwhich==1.1.0
|
| 83 |
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fonttools==4.45.1
|
| 84 |
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future==0.18.3
|
| 85 |
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aiohttp==3.10.6
|
| 86 |
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|
| 87 |
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idna==3.6
|
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|
| 89 |
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|
| 90 |
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|
| 91 |
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lit==18.1.8
|
| 92 |
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nvidia-curand-cu11==10.2.10.91
|
| 93 |
+
nvidia-cublas-cu11==11.10.3.66
|
| 94 |
+
nvidia-ml-py==12.560.30
|
| 95 |
+
msgpack==1.1.0
|
| 96 |
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python-dateutil==2.8.2
|
| 97 |
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blessed==1.20.0
|
| 98 |
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packaging==23.0
|
| 99 |
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gitdb==4.0.11
|
| 100 |
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yarl==1.13.0
|
| 101 |
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|
| 102 |
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tzdata==2023.3
|
| 103 |
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cycler==0.12.1
|
| 104 |
+
tornado==6.2
|
| 105 |
+
backcall==0.2.0
|
| 106 |
+
plotnine==0.12.4
|
| 107 |
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ninja==1.11.1.1
|
| 108 |
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latex==0.7.0
|
| 109 |
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wandb==0.18.5
|
| 110 |
+
setproctitle==1.3.3
|
| 111 |
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threadpoolctl==3.2.0
|
| 112 |
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requests==2.32.3
|
| 113 |
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pyparsing==3.1.1
|
| 114 |
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smmap==5.0.1
|
| 115 |
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pyzmq==23.0.0
|
| 116 |
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async-timeout==4.0.3
|
| 117 |
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annotated-types==0.7.0
|
| 118 |
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matplotlib-inline==0.1.6
|
| 119 |
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latexcodec==1.0.0
|
| 120 |
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ipython==8.0.0
|
| 121 |
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|
| 122 |
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contourpy==1.2.0
|
| 123 |
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multidict==6.1.0
|
| 124 |
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mizani==0.9.3
|
| 125 |
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urllib3==2.1.0
|
| 126 |
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tokenizers==0.20.0
|
| 127 |
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|
| 128 |
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pip==24.2
|
| 129 |
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pexpect==4.8.0
|
| 130 |
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tqdm==4.66.5
|
| 131 |
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|
| 132 |
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pydantic_core==2.23.4
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| 133 |
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tempdir==0.7.1
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| 134 |
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mpmath==1.2.1
|
| 135 |
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setuptools==72.1.0
|
| 136 |
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pytest==7.4.3
|
| 137 |
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pure-eval==0.2.2
|
| 138 |
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psutil==5.9.1
|
| 139 |
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comm==0.1.2
|
| 140 |
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nvidia-cuda-cupti-cu11==11.7.101
|
| 141 |
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nvidia-cuda-nvrtc-cu11==11.7.99
|
| 142 |
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regex==2023.10.3
|
| 143 |
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platformdirs==2.5.2
|
| 144 |
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asttokens==2.2.1
|
| 145 |
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torch==2.0.0
|
| 146 |
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nvidia-nccl-cu11==2.14.3
|
| 147 |
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|
wandb/run-20241030_011509-zmlu7388/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.4.0-162-generic-x86_64-with-glibc2.31",
|
| 3 |
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"python": "3.9.19",
|
| 4 |
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"startedAt": "2024-10-30T05:15:09.352977Z",
|
| 5 |
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"args": [
|
| 6 |
+
"--perturbation",
|
| 7 |
+
"reverse_control",
|
| 8 |
+
"--train_set",
|
| 9 |
+
"10M",
|
| 10 |
+
"--batch_size",
|
| 11 |
+
"3",
|
| 12 |
+
"--epoch",
|
| 13 |
+
"7",
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
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"name": "NVIDIA RTX A6000",
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"memoryTotal": "51527024640",
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"architecture": "Ampere"
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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wandb/run-20241030_011509-zmlu7388/logs/debug-internal.log
ADDED
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{"time":"2024-10-30T01:15:09.354988919-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
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wandb/run-20241030_011509-zmlu7388/logs/debug.log
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2024-10-30 01:15:09,350 INFO MainThread:324929 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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2024-10-30 01:15:09,350 INFO MainThread:324929 [wandb_setup.py:_flush():79] Configure stats pid to 324929
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_setup.py:_flush():79] Loading settings from /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/settings
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_setup.py:_flush():79] Inferring run settings from compute environment: {'program_relpath': 'train/train_deep_wandb.py', 'program_abspath': '/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py', 'program': '/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py'}
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_setup.py:_flush():79] Applying login settings: {}
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_init.py:_log_setup():535] Logging internal logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241030_011509-zmlu7388/logs/debug-internal.log
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_init.py:init():621] calling init triggers
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
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config: {}
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2024-10-30 01:15:09,351 INFO MainThread:324929 [wandb_init.py:init():671] starting backend
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2024-10-30 01:15:09,355 INFO MainThread:324929 [wandb_init.py:init():783] updated telemetry
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2024-10-30 01:15:09,794 INFO MainThread:324929 [wandb_run.py:_config_callback():1390] config_cb None None {'perturbation': 'reverse_control', 'train_set': '10M', 'batch_size': 3, 'epoch': 7, 'seed': 0}
|
wandb/run-20241031_002020-q6ot1vz6/run-q6ot1vz6.wandb
ADDED
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wandb/run-20241031_122006-f2ep45tp/files/config.yaml
ADDED
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|
| 1 |
+
_wandb:
|
| 2 |
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value:
|
| 3 |
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cli_version: 0.18.5
|
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m: []
|
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python_version: 3.9.19
|
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|
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|
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|
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|
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|
| 15 |
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|
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
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|
| 21 |
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| 23 |
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|
| 24 |
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|
| 25 |
+
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|
| 26 |
+
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|
| 27 |
+
"3":
|
| 28 |
+
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|
| 29 |
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|
| 30 |
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|
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"4": 3.9.19
|
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|
| 33 |
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"6": 4.45.1
|
| 34 |
+
"8":
|
| 35 |
+
- 5
|
| 36 |
+
"12": 0.18.5
|
| 37 |
+
"13": linux-x86_64
|
| 38 |
+
batch_size:
|
| 39 |
+
value: 3
|
| 40 |
+
epoch:
|
| 41 |
+
value: 6
|
| 42 |
+
lr:
|
| 43 |
+
value: 5e-06
|
| 44 |
+
perturbation:
|
| 45 |
+
value: reverse_full
|
| 46 |
+
seed:
|
| 47 |
+
value: 0
|
| 48 |
+
train_set:
|
| 49 |
+
value: 10M
|
wandb/run-20241031_122006-f2ep45tp/files/output.log
ADDED
|
@@ -0,0 +1,60 @@
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|
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|
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|
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|
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|
|
|
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|
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|
|
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|
| 1 |
+
Downloading shards: 0%| | 0/2 [00:22<?, ?it/s]
|
| 2 |
+
Exception ignored in: <generator object tqdm.__iter__ at 0x7fbb506e9d60>
|
| 3 |
+
Traceback (most recent call last):
|
| 4 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/tqdm/std.py", line 1196, in __iter__
|
| 5 |
+
self.close()
|
| 6 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/tqdm/std.py", line 1303, in close
|
| 7 |
+
fp_write('\n')
|
| 8 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/tqdm/std.py", line 1287, in fp_write
|
| 9 |
+
self.fp.write(str(s))
|
| 10 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/tqdm/utils.py", line 196, in inner
|
| 11 |
+
return func(*args, **kwargs)
|
| 12 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/lib/redirect.py", line 648, in write
|
| 13 |
+
cb(data)
|
| 14 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/wandb_run.py", line 2386, in <lambda>
|
| 15 |
+
lambda data: self._console_raw_callback("stderr", data),
|
| 16 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/wandb_run.py", line 403, in wrapper_fn
|
| 17 |
+
return func(self, *args, **kwargs)
|
| 18 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/wandb_run.py", line 1547, in _console_raw_callback
|
| 19 |
+
self._backend.interface.publish_output_raw(name, data)
|
| 20 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/interface/interface.py", line 721, in publish_output_raw
|
| 21 |
+
self._publish_output_raw(o)
|
| 22 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/interface/interface_shared.py", line 79, in _publish_output_raw
|
| 23 |
+
self._publish(rec)
|
| 24 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/interface/interface_sock.py", line 51, in _publish
|
| 25 |
+
self._sock_client.send_record_publish(record)
|
| 26 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/lib/sock_client.py", line 225, in send_record_publish
|
| 27 |
+
self.send_server_request(server_req)
|
| 28 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/lib/sock_client.py", line 157, in send_server_request
|
| 29 |
+
self._send_message(msg)
|
| 30 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/lib/sock_client.py", line 154, in _send_message
|
| 31 |
+
self._sendall_with_error_handle(header + data)
|
| 32 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/wandb/sdk/lib/sock_client.py", line 132, in _sendall_with_error_handle
|
| 33 |
+
sent = self._sock.send(data)
|
| 34 |
+
KeyboardInterrupt:
|
| 35 |
+
Traceback (most recent call last):
|
| 36 |
+
File "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py", line 173, in <module>
|
| 37 |
+
model = AutoModelForCausalLM.from_pretrained(model_name,
|
| 38 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 564, in from_pretrained
|
| 39 |
+
return model_class.from_pretrained(
|
| 40 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/transformers/modeling_utils.py", line 3769, in from_pretrained
|
| 41 |
+
resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(
|
| 42 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/transformers/utils/hub.py", line 1098, in get_checkpoint_shard_files
|
| 43 |
+
cached_filename = cached_file(
|
| 44 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/transformers/utils/hub.py", line 403, in cached_file
|
| 45 |
+
resolved_file = hf_hub_download(
|
| 46 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
|
| 47 |
+
return f(*args, **kwargs)
|
| 48 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
|
| 49 |
+
return fn(*args, **kwargs)
|
| 50 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1232, in hf_hub_download
|
| 51 |
+
return _hf_hub_download_to_cache_dir(
|
| 52 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1380, in _hf_hub_download_to_cache_dir
|
| 53 |
+
with WeakFileLock(lock_path):
|
| 54 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/contextlib.py", line 119, in __enter__
|
| 55 |
+
return next(self.gen)
|
| 56 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/huggingface_hub/utils/_fixes.py", line 98, in WeakFileLock
|
| 57 |
+
lock.acquire()
|
| 58 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/filelock/_api.py", line 225, in acquire
|
| 59 |
+
time.sleep(poll_interval)
|
| 60 |
+
KeyboardInterrupt
|
wandb/run-20241031_122006-f2ep45tp/files/requirements.txt
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
funcsigs==1.0.2
|
| 2 |
+
sentry-sdk==2.17.0
|
| 3 |
+
multiprocess==0.70.16
|
| 4 |
+
numpy==1.26.2
|
| 5 |
+
pluralizer==1.2.0
|
| 6 |
+
debugpy==1.6.7
|
| 7 |
+
nvidia-cudnn-cu11==8.5.0.96
|
| 8 |
+
deepspeed==0.15.2
|
| 9 |
+
data==0.4
|
| 10 |
+
pandas==2.1.3
|
| 11 |
+
tomli==2.0.1
|
| 12 |
+
charset-normalizer==3.3.2
|
| 13 |
+
attrs==24.2.0
|
| 14 |
+
aiosignal==1.3.1
|
| 15 |
+
fsspec==2023.10.0
|
| 16 |
+
nvidia-cusparse-cu11==11.7.4.91
|
| 17 |
+
zipp==3.12.0
|
| 18 |
+
mypy-extensions==1.0.0
|
| 19 |
+
datasets==3.0.1
|
| 20 |
+
joblib==1.3.2
|
| 21 |
+
hjson==3.1.0
|
| 22 |
+
traitlets==5.7.1
|
| 23 |
+
stack-data==0.6.0
|
| 24 |
+
transformers==4.45.1
|
| 25 |
+
sympy==1.11.1
|
| 26 |
+
Pygments==2.15.0
|
| 27 |
+
docker-pycreds==0.4.0
|
| 28 |
+
dill==0.3.8
|
| 29 |
+
wheel==0.44.0
|
| 30 |
+
prompt-toolkit==3.0.30
|
| 31 |
+
parso==0.8.3
|
| 32 |
+
ipykernel==6.23.1
|
| 33 |
+
pyarrow==17.0.0
|
| 34 |
+
certifi==2023.11.17
|
| 35 |
+
nvidia-cufft-cu11==10.9.0.58
|
| 36 |
+
six==1.16.0
|
| 37 |
+
pydantic==2.9.2
|
| 38 |
+
click==8.1.7
|
| 39 |
+
nest-asyncio==1.5.6
|
| 40 |
+
gmpy2==2.1.0
|
| 41 |
+
matplotlib==3.8.2
|
| 42 |
+
scipy==1.11.4
|
| 43 |
+
typing_extensions==4.12.2
|
| 44 |
+
statsmodels==0.14.0
|
| 45 |
+
huggingface-hub==0.25.0
|
| 46 |
+
frozenlist==1.4.1
|
| 47 |
+
gpustat==1.1.1
|
| 48 |
+
nvidia-nvtx-cu11==11.7.91
|
| 49 |
+
safetensors==0.4.5
|
| 50 |
+
stanza==1.9.2
|
| 51 |
+
decorator==5.1.1
|
| 52 |
+
seaborn==0.13.0
|
| 53 |
+
sentencepiece==0.2.0
|
| 54 |
+
PyYAML==6.0.1
|
| 55 |
+
black==24.8.0
|
| 56 |
+
protobuf==4.25.1
|
| 57 |
+
pickleshare==0.7.5
|
| 58 |
+
peft==0.13.0
|
| 59 |
+
triton==2.0.0
|
| 60 |
+
nvidia-cuda-runtime-cu11==11.7.99
|
| 61 |
+
Jinja2==3.1.2
|
| 62 |
+
nvidia-cusolver-cu11==11.4.0.1
|
| 63 |
+
executing==1.2.0
|
| 64 |
+
jupyter_client==8.1.0
|
| 65 |
+
pluggy==1.3.0
|
| 66 |
+
cmake==3.30.3
|
| 67 |
+
pytz==2023.3.post1
|
| 68 |
+
aiohappyeyeballs==2.4.2
|
| 69 |
+
kiwisolver==1.4.5
|
| 70 |
+
py-cpuinfo==9.0.0
|
| 71 |
+
Pillow==10.1.0
|
| 72 |
+
ptyprocess==0.7.0
|
| 73 |
+
importlib_resources==6.4.5
|
| 74 |
+
GitPython==3.1.43
|
| 75 |
+
importlib-metadata==6.0.0
|
| 76 |
+
iniconfig==2.0.0
|
| 77 |
+
scikit-learn==1.3.2
|
| 78 |
+
exceptiongroup==1.1.0
|
| 79 |
+
networkx==2.8.6
|
| 80 |
+
accelerate==1.0.0
|
| 81 |
+
nltk==3.8.1
|
| 82 |
+
shutilwhich==1.1.0
|
| 83 |
+
fonttools==4.45.1
|
| 84 |
+
future==0.18.3
|
| 85 |
+
aiohttp==3.10.6
|
| 86 |
+
wcwidth==0.2.5
|
| 87 |
+
idna==3.6
|
| 88 |
+
filelock==3.12.2
|
| 89 |
+
pathspec==0.12.1
|
| 90 |
+
jupyter_core==5.1.0
|
| 91 |
+
lit==18.1.8
|
| 92 |
+
nvidia-curand-cu11==10.2.10.91
|
| 93 |
+
nvidia-cublas-cu11==11.10.3.66
|
| 94 |
+
nvidia-ml-py==12.560.30
|
| 95 |
+
msgpack==1.1.0
|
| 96 |
+
python-dateutil==2.8.2
|
| 97 |
+
blessed==1.20.0
|
| 98 |
+
packaging==23.0
|
| 99 |
+
gitdb==4.0.11
|
| 100 |
+
yarl==1.13.0
|
| 101 |
+
emoji==2.8.0
|
| 102 |
+
tzdata==2023.3
|
| 103 |
+
cycler==0.12.1
|
| 104 |
+
tornado==6.2
|
| 105 |
+
backcall==0.2.0
|
| 106 |
+
plotnine==0.12.4
|
| 107 |
+
ninja==1.11.1.1
|
| 108 |
+
latex==0.7.0
|
| 109 |
+
wandb==0.18.5
|
| 110 |
+
setproctitle==1.3.3
|
| 111 |
+
threadpoolctl==3.2.0
|
| 112 |
+
requests==2.32.3
|
| 113 |
+
pyparsing==3.1.1
|
| 114 |
+
smmap==5.0.1
|
| 115 |
+
pyzmq==23.0.0
|
| 116 |
+
async-timeout==4.0.3
|
| 117 |
+
annotated-types==0.7.0
|
| 118 |
+
matplotlib-inline==0.1.6
|
| 119 |
+
latexcodec==1.0.0
|
| 120 |
+
ipython==8.0.0
|
| 121 |
+
patsy==0.5.3
|
| 122 |
+
contourpy==1.2.0
|
| 123 |
+
multidict==6.1.0
|
| 124 |
+
mizani==0.9.3
|
| 125 |
+
urllib3==2.1.0
|
| 126 |
+
tokenizers==0.20.0
|
| 127 |
+
MarkupSafe==2.1.2
|
| 128 |
+
pip==24.2
|
| 129 |
+
pexpect==4.8.0
|
| 130 |
+
tqdm==4.66.5
|
| 131 |
+
jedi==0.18.2
|
| 132 |
+
pydantic_core==2.23.4
|
| 133 |
+
tempdir==0.7.1
|
| 134 |
+
mpmath==1.2.1
|
| 135 |
+
setuptools==72.1.0
|
| 136 |
+
pytest==7.4.3
|
| 137 |
+
pure-eval==0.2.2
|
| 138 |
+
psutil==5.9.1
|
| 139 |
+
comm==0.1.2
|
| 140 |
+
nvidia-cuda-cupti-cu11==11.7.101
|
| 141 |
+
nvidia-cuda-nvrtc-cu11==11.7.99
|
| 142 |
+
regex==2023.10.3
|
| 143 |
+
platformdirs==2.5.2
|
| 144 |
+
asttokens==2.2.1
|
| 145 |
+
torch==2.0.0
|
| 146 |
+
nvidia-nccl-cu11==2.14.3
|
| 147 |
+
xxhash==3.5.0
|
wandb/run-20241031_122006-f2ep45tp/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.4.0-162-generic-x86_64-with-glibc2.31",
|
| 3 |
+
"python": "3.9.19",
|
| 4 |
+
"startedAt": "2024-10-31T16:20:06.045293Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--perturbation",
|
| 7 |
+
"reverse_full",
|
| 8 |
+
"--train_set",
|
| 9 |
+
"10M",
|
| 10 |
+
"--batch_size",
|
| 11 |
+
"3",
|
| 12 |
+
"--epoch",
|
| 13 |
+
"6",
|
| 14 |
+
"--seed",
|
| 15 |
+
"0"
|
| 16 |
+
],
|
| 17 |
+
"program": "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py",
|
| 18 |
+
"codePath": "train/train_deep_wandb.py",
|
| 19 |
+
"git": {
|
| 20 |
+
"remote": "git@hf.co:Yaning1001/Impossible_llm.git",
|
| 21 |
+
"commit": "ed716cdcfcdea02b67f7ed0f3504c2b1c8b737c4"
|
| 22 |
+
},
|
| 23 |
+
"email": "yaning1001@gmail.com",
|
| 24 |
+
"root": "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train",
|
| 25 |
+
"host": "mms-large-2",
|
| 26 |
+
"username": "chunhui",
|
| 27 |
+
"executable": "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/bin/python",
|
| 28 |
+
"codePathLocal": "train_deep_wandb.py",
|
| 29 |
+
"cpu_count": 32,
|
| 30 |
+
"cpu_count_logical": 64,
|
| 31 |
+
"gpu": "NVIDIA RTX A6000",
|
| 32 |
+
"gpu_count": 8,
|
| 33 |
+
"disk": {
|
| 34 |
+
"/": {
|
| 35 |
+
"total": "1888559353856",
|
| 36 |
+
"used": "1753159847936"
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"memory": {
|
| 40 |
+
"total": "202617098240"
|
| 41 |
+
},
|
| 42 |
+
"cpu": {
|
| 43 |
+
"count": 32,
|
| 44 |
+
"countLogical": 64
|
| 45 |
+
},
|
| 46 |
+
"gpu_nvidia": [
|
| 47 |
+
{
|
| 48 |
+
"name": "NVIDIA RTX A6000",
|
| 49 |
+
"memoryTotal": "51527024640",
|
| 50 |
+
"cudaCores": 10752,
|
| 51 |
+
"architecture": "Ampere"
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"name": "NVIDIA RTX A6000",
|
| 55 |
+
"memoryTotal": "51527024640",
|
| 56 |
+
"cudaCores": 10752,
|
| 57 |
+
"architecture": "Ampere"
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"name": "NVIDIA RTX A6000",
|
| 61 |
+
"memoryTotal": "51527024640",
|
| 62 |
+
"cudaCores": 10752,
|
| 63 |
+
"architecture": "Ampere"
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"name": "NVIDIA RTX A6000",
|
| 67 |
+
"memoryTotal": "51527024640",
|
| 68 |
+
"cudaCores": 10752,
|
| 69 |
+
"architecture": "Ampere"
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "NVIDIA RTX A6000",
|
| 73 |
+
"memoryTotal": "51527024640",
|
| 74 |
+
"cudaCores": 10752,
|
| 75 |
+
"architecture": "Ampere"
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
wandb/run-20241031_122006-f2ep45tp/files/wandb-summary.json
ADDED
|
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|
|
|
|
|
| 1 |
+
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|
wandb/run-20241031_122006-f2ep45tp/logs/debug-internal.log
ADDED
|
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|
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|
| 1 |
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{"time":"2024-10-31T12:20:06.047606029-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
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| 11 |
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|
wandb/run-20241031_122006-f2ep45tp/logs/debug.log
ADDED
|
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|
| 1 |
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2024-10-31 12:20:06,042 INFO MainThread:557182 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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| 7 |
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|
| 10 |
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|
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|
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|
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wandb/run-20241031_122006-f2ep45tp/run-f2ep45tp.wandb
ADDED
|
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|
wandb/run-20241031_122114-2k9672ya/run-2k9672ya.wandb
ADDED
|
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wandb/run-20241101_093116-8434p043/files/output.log
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
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|
|
| 1 |
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Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:18<00:00, 9.05s/it]
|
| 2 |
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tokenized_valid: Dataset({
|
| 3 |
+
features: ['input_ids', 'attention_mask'],
|
| 4 |
+
num_rows: 600
|
| 5 |
+
})
|
| 6 |
+
/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/transformers/training_args.py:1545: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
|
| 7 |
+
warnings.warn(
|
| 8 |
+
[2024-11-01 09:31:36,808] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 9 |
+
[2024-11-01 09:31:44,772] [INFO] [comm.py:652:init_distributed] cdb=None
|
| 10 |
+
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
|
| 11 |
+
Using /home/chunhui/.cache/torch_extensions/py39_cu117 as PyTorch extensions root...
|
| 12 |
+
Emitting ninja build file /home/chunhui/.cache/torch_extensions/py39_cu117/cpu_adam/build.ninja...
|
| 13 |
+
Building extension module cpu_adam...
|
| 14 |
+
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
|
| 15 |
+
Loading extension module cpu_adam...
|
| 16 |
+
Time to load cpu_adam op: 4.949513912200928 seconds
|
wandb/run-20241101_093116-8434p043/files/requirements.txt
ADDED
|
@@ -0,0 +1,147 @@
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 1 |
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funcsigs==1.0.2
|
| 2 |
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sentry-sdk==2.17.0
|
| 3 |
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multiprocess==0.70.16
|
| 4 |
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numpy==1.26.2
|
| 5 |
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pluralizer==1.2.0
|
| 6 |
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debugpy==1.6.7
|
| 7 |
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nvidia-cudnn-cu11==8.5.0.96
|
| 8 |
+
deepspeed==0.15.2
|
| 9 |
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data==0.4
|
| 10 |
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pandas==2.1.3
|
| 11 |
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tomli==2.0.1
|
| 12 |
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|
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|
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aiosignal==1.3.1
|
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|
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nvidia-cusparse-cu11==11.7.4.91
|
| 17 |
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zipp==3.12.0
|
| 18 |
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mypy-extensions==1.0.0
|
| 19 |
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datasets==3.0.1
|
| 20 |
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joblib==1.3.2
|
| 21 |
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|
| 22 |
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traitlets==5.7.1
|
| 23 |
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|
| 24 |
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transformers==4.45.1
|
| 25 |
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sympy==1.11.1
|
| 26 |
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|
| 27 |
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docker-pycreds==0.4.0
|
| 28 |
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dill==0.3.8
|
| 29 |
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wheel==0.44.0
|
| 30 |
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|
| 31 |
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|
| 32 |
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|
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pyarrow==17.0.0
|
| 34 |
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|
| 35 |
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nvidia-cufft-cu11==10.9.0.58
|
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six==1.16.0
|
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|
| 38 |
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|
| 39 |
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|
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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nvidia-nvtx-cu11==11.7.91
|
| 49 |
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safetensors==0.4.5
|
| 50 |
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|
| 51 |
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decorator==5.1.1
|
| 52 |
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seaborn==0.13.0
|
| 53 |
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sentencepiece==0.2.0
|
| 54 |
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PyYAML==6.0.1
|
| 55 |
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|
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protobuf==4.25.1
|
| 57 |
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pickleshare==0.7.5
|
| 58 |
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peft==0.13.0
|
| 59 |
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triton==2.0.0
|
| 60 |
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nvidia-cuda-runtime-cu11==11.7.99
|
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|
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|
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|
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pytz==2023.3.post1
|
| 68 |
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aiohappyeyeballs==2.4.2
|
| 69 |
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kiwisolver==1.4.5
|
| 70 |
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py-cpuinfo==9.0.0
|
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|
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ptyprocess==0.7.0
|
| 73 |
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|
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GitPython==3.1.43
|
| 75 |
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importlib-metadata==6.0.0
|
| 76 |
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iniconfig==2.0.0
|
| 77 |
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scikit-learn==1.3.2
|
| 78 |
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|
| 79 |
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networkx==2.8.6
|
| 80 |
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accelerate==1.0.0
|
| 81 |
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nltk==3.8.1
|
| 82 |
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shutilwhich==1.1.0
|
| 83 |
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fonttools==4.45.1
|
| 84 |
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future==0.18.3
|
| 85 |
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aiohttp==3.10.6
|
| 86 |
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wcwidth==0.2.5
|
| 87 |
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idna==3.6
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jupyter_core==5.1.0
|
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lit==18.1.8
|
| 92 |
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nvidia-curand-cu11==10.2.10.91
|
| 93 |
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nvidia-cublas-cu11==11.10.3.66
|
| 94 |
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nvidia-ml-py==12.560.30
|
| 95 |
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msgpack==1.1.0
|
| 96 |
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python-dateutil==2.8.2
|
| 97 |
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blessed==1.20.0
|
| 98 |
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packaging==23.0
|
| 99 |
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gitdb==4.0.11
|
| 100 |
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yarl==1.13.0
|
| 101 |
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|
| 102 |
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|
| 103 |
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cycler==0.12.1
|
| 104 |
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tornado==6.2
|
| 105 |
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backcall==0.2.0
|
| 106 |
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plotnine==0.12.4
|
| 107 |
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ninja==1.11.1.1
|
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latex==0.7.0
|
| 109 |
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wandb==0.18.5
|
| 110 |
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setproctitle==1.3.3
|
| 111 |
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| 112 |
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| 114 |
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pip==24.2
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torch==2.0.0
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|
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wandb/run-20241101_093116-8434p043/logs/debug-internal.log
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wandb/run-20241101_093116-8434p043/logs/debug.log
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| 38 |
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},
|
| 39 |
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"memory": {
|
| 40 |
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"total": "202617098240"
|
| 41 |
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|
| 42 |
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"cpu": {
|
| 43 |
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"count": 32,
|
| 44 |
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"countLogical": 64
|
| 45 |
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},
|
| 46 |
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"gpu_nvidia": [
|
| 47 |
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{
|
| 48 |
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"name": "NVIDIA RTX A6000",
|
| 49 |
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"memoryTotal": "51527024640",
|
| 50 |
+
"cudaCores": 10752,
|
| 51 |
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"architecture": "Ampere"
|
| 52 |
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},
|
| 53 |
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{
|
| 54 |
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"name": "NVIDIA RTX A6000",
|
| 55 |
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"memoryTotal": "51527024640",
|
| 56 |
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"cudaCores": 10752,
|
| 57 |
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"architecture": "Ampere"
|
| 58 |
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},
|
| 59 |
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{
|
| 60 |
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"name": "NVIDIA RTX A6000",
|
| 61 |
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"memoryTotal": "51527024640",
|
| 62 |
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"cudaCores": 10752,
|
| 63 |
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"architecture": "Ampere"
|
| 64 |
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},
|
| 65 |
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{
|
| 66 |
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"name": "NVIDIA RTX A6000",
|
| 67 |
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"memoryTotal": "51527024640",
|
| 68 |
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"cudaCores": 10752,
|
| 69 |
+
"architecture": "Ampere"
|
| 70 |
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},
|
| 71 |
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{
|
| 72 |
+
"name": "NVIDIA RTX A6000",
|
| 73 |
+
"memoryTotal": "51527024640",
|
| 74 |
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"cudaCores": 10752,
|
| 75 |
+
"architecture": "Ampere"
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "NVIDIA RTX A6000",
|
| 79 |
+
"memoryTotal": "51527024640",
|
| 80 |
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"cudaCores": 10752,
|
| 81 |
+
"architecture": "Ampere"
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "NVIDIA RTX A6000",
|
| 85 |
+
"memoryTotal": "51527024640",
|
| 86 |
+
"cudaCores": 10752,
|
| 87 |
+
"architecture": "Ampere"
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "NVIDIA RTX A6000",
|
| 91 |
+
"memoryTotal": "51527024640",
|
| 92 |
+
"cudaCores": 10752,
|
| 93 |
+
"architecture": "Ampere"
|
| 94 |
+
}
|
| 95 |
+
],
|
| 96 |
+
"cudaVersion": "11.8"
|
| 97 |
+
}
|
wandb/run-20241101_094656-v2rxhny6/run-v2rxhny6.wandb
ADDED
|
File without changes
|
wandb/run-20241101_200535-6xsf0vem/files/output.log
ADDED
|
@@ -0,0 +1,21 @@
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| 1 |
+
Downloading shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [02:25<00:00, 72.90s/it]
|
| 2 |
+
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:05<00:00, 2.67s/it]
|
| 3 |
+
tokenized_valid: Dataset({
|
| 4 |
+
features: ['input_ids', 'attention_mask'],
|
| 5 |
+
num_rows: 600
|
| 6 |
+
})
|
| 7 |
+
/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/transformers/training_args.py:1545: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
|
| 8 |
+
warnings.warn(
|
| 9 |
+
[2024-11-01 20:08:09,443] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 10 |
+
[2024-11-01 20:08:19,298] [INFO] [comm.py:652:init_distributed] cdb=None
|
| 11 |
+
[2024-11-01 20:08:19,298] [INFO] [comm.py:683:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
|
| 12 |
+
Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
|
| 13 |
+
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
|
| 14 |
+
Using /home/chunhui/.cache/torch_extensions/py39_cu117 as PyTorch extensions root...
|
| 15 |
+
Emitting ninja build file /home/chunhui/.cache/torch_extensions/py39_cu117/cpu_adam/build.ninja...
|
| 16 |
+
Building extension module cpu_adam...
|
| 17 |
+
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
|
| 18 |
+
Loading extension module cpu_adam...
|
| 19 |
+
Time to load cpu_adam op: 5.526603698730469 seconds
|
| 20 |
+
[34m[1mwandb[0m: [33mWARNING[0m The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
|
| 21 |
+
0%| | 0/2739 [00:00<?, ?it/s]
|
wandb/run-20241101_200535-6xsf0vem/files/requirements.txt
ADDED
|
@@ -0,0 +1,147 @@
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
funcsigs==1.0.2
|
| 2 |
+
sentry-sdk==2.17.0
|
| 3 |
+
multiprocess==0.70.16
|
| 4 |
+
numpy==1.26.2
|
| 5 |
+
pluralizer==1.2.0
|
| 6 |
+
debugpy==1.6.7
|
| 7 |
+
nvidia-cudnn-cu11==8.5.0.96
|
| 8 |
+
deepspeed==0.15.2
|
| 9 |
+
data==0.4
|
| 10 |
+
pandas==2.1.3
|
| 11 |
+
tomli==2.0.1
|
| 12 |
+
charset-normalizer==3.3.2
|
| 13 |
+
attrs==24.2.0
|
| 14 |
+
aiosignal==1.3.1
|
| 15 |
+
fsspec==2023.10.0
|
| 16 |
+
nvidia-cusparse-cu11==11.7.4.91
|
| 17 |
+
zipp==3.12.0
|
| 18 |
+
mypy-extensions==1.0.0
|
| 19 |
+
datasets==3.0.1
|
| 20 |
+
joblib==1.3.2
|
| 21 |
+
hjson==3.1.0
|
| 22 |
+
traitlets==5.7.1
|
| 23 |
+
stack-data==0.6.0
|
| 24 |
+
transformers==4.45.1
|
| 25 |
+
sympy==1.11.1
|
| 26 |
+
Pygments==2.15.0
|
| 27 |
+
docker-pycreds==0.4.0
|
| 28 |
+
dill==0.3.8
|
| 29 |
+
wheel==0.44.0
|
| 30 |
+
prompt-toolkit==3.0.30
|
| 31 |
+
parso==0.8.3
|
| 32 |
+
ipykernel==6.23.1
|
| 33 |
+
pyarrow==17.0.0
|
| 34 |
+
certifi==2023.11.17
|
| 35 |
+
nvidia-cufft-cu11==10.9.0.58
|
| 36 |
+
six==1.16.0
|
| 37 |
+
pydantic==2.9.2
|
| 38 |
+
click==8.1.7
|
| 39 |
+
nest-asyncio==1.5.6
|
| 40 |
+
gmpy2==2.1.0
|
| 41 |
+
matplotlib==3.8.2
|
| 42 |
+
scipy==1.11.4
|
| 43 |
+
typing_extensions==4.12.2
|
| 44 |
+
statsmodels==0.14.0
|
| 45 |
+
huggingface-hub==0.25.0
|
| 46 |
+
frozenlist==1.4.1
|
| 47 |
+
gpustat==1.1.1
|
| 48 |
+
nvidia-nvtx-cu11==11.7.91
|
| 49 |
+
safetensors==0.4.5
|
| 50 |
+
stanza==1.9.2
|
| 51 |
+
decorator==5.1.1
|
| 52 |
+
seaborn==0.13.0
|
| 53 |
+
sentencepiece==0.2.0
|
| 54 |
+
PyYAML==6.0.1
|
| 55 |
+
black==24.8.0
|
| 56 |
+
protobuf==4.25.1
|
| 57 |
+
pickleshare==0.7.5
|
| 58 |
+
peft==0.13.0
|
| 59 |
+
triton==2.0.0
|
| 60 |
+
nvidia-cuda-runtime-cu11==11.7.99
|
| 61 |
+
Jinja2==3.1.2
|
| 62 |
+
nvidia-cusolver-cu11==11.4.0.1
|
| 63 |
+
executing==1.2.0
|
| 64 |
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jupyter_client==8.1.0
|
| 65 |
+
pluggy==1.3.0
|
| 66 |
+
cmake==3.30.3
|
| 67 |
+
pytz==2023.3.post1
|
| 68 |
+
aiohappyeyeballs==2.4.2
|
| 69 |
+
kiwisolver==1.4.5
|
| 70 |
+
py-cpuinfo==9.0.0
|
| 71 |
+
Pillow==10.1.0
|
| 72 |
+
ptyprocess==0.7.0
|
| 73 |
+
importlib_resources==6.4.5
|
| 74 |
+
GitPython==3.1.43
|
| 75 |
+
importlib-metadata==6.0.0
|
| 76 |
+
iniconfig==2.0.0
|
| 77 |
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scikit-learn==1.3.2
|
| 78 |
+
exceptiongroup==1.1.0
|
| 79 |
+
networkx==2.8.6
|
| 80 |
+
accelerate==1.0.0
|
| 81 |
+
nltk==3.8.1
|
| 82 |
+
shutilwhich==1.1.0
|
| 83 |
+
fonttools==4.45.1
|
| 84 |
+
future==0.18.3
|
| 85 |
+
aiohttp==3.10.6
|
| 86 |
+
wcwidth==0.2.5
|
| 87 |
+
idna==3.6
|
| 88 |
+
filelock==3.12.2
|
| 89 |
+
pathspec==0.12.1
|
| 90 |
+
jupyter_core==5.1.0
|
| 91 |
+
lit==18.1.8
|
| 92 |
+
nvidia-curand-cu11==10.2.10.91
|
| 93 |
+
nvidia-cublas-cu11==11.10.3.66
|
| 94 |
+
nvidia-ml-py==12.560.30
|
| 95 |
+
msgpack==1.1.0
|
| 96 |
+
python-dateutil==2.8.2
|
| 97 |
+
blessed==1.20.0
|
| 98 |
+
packaging==23.0
|
| 99 |
+
gitdb==4.0.11
|
| 100 |
+
yarl==1.13.0
|
| 101 |
+
emoji==2.8.0
|
| 102 |
+
tzdata==2023.3
|
| 103 |
+
cycler==0.12.1
|
| 104 |
+
tornado==6.2
|
| 105 |
+
backcall==0.2.0
|
| 106 |
+
plotnine==0.12.4
|
| 107 |
+
ninja==1.11.1.1
|
| 108 |
+
latex==0.7.0
|
| 109 |
+
wandb==0.18.5
|
| 110 |
+
setproctitle==1.3.3
|
| 111 |
+
threadpoolctl==3.2.0
|
| 112 |
+
requests==2.32.3
|
| 113 |
+
pyparsing==3.1.1
|
| 114 |
+
smmap==5.0.1
|
| 115 |
+
pyzmq==23.0.0
|
| 116 |
+
async-timeout==4.0.3
|
| 117 |
+
annotated-types==0.7.0
|
| 118 |
+
matplotlib-inline==0.1.6
|
| 119 |
+
latexcodec==1.0.0
|
| 120 |
+
ipython==8.0.0
|
| 121 |
+
patsy==0.5.3
|
| 122 |
+
contourpy==1.2.0
|
| 123 |
+
multidict==6.1.0
|
| 124 |
+
mizani==0.9.3
|
| 125 |
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urllib3==2.1.0
|
| 126 |
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tokenizers==0.20.0
|
| 127 |
+
MarkupSafe==2.1.2
|
| 128 |
+
pip==24.2
|
| 129 |
+
pexpect==4.8.0
|
| 130 |
+
tqdm==4.66.5
|
| 131 |
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jedi==0.18.2
|
| 132 |
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pydantic_core==2.23.4
|
| 133 |
+
tempdir==0.7.1
|
| 134 |
+
mpmath==1.2.1
|
| 135 |
+
setuptools==72.1.0
|
| 136 |
+
pytest==7.4.3
|
| 137 |
+
pure-eval==0.2.2
|
| 138 |
+
psutil==5.9.1
|
| 139 |
+
comm==0.1.2
|
| 140 |
+
nvidia-cuda-cupti-cu11==11.7.101
|
| 141 |
+
nvidia-cuda-nvrtc-cu11==11.7.99
|
| 142 |
+
regex==2023.10.3
|
| 143 |
+
platformdirs==2.5.2
|
| 144 |
+
asttokens==2.2.1
|
| 145 |
+
torch==2.0.0
|
| 146 |
+
nvidia-nccl-cu11==2.14.3
|
| 147 |
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xxhash==3.5.0
|
wandb/run-20241101_200535-6xsf0vem/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
|
|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.4.0-162-generic-x86_64-with-glibc2.31",
|
| 3 |
+
"python": "3.9.19",
|
| 4 |
+
"startedAt": "2024-11-02T00:05:35.688297Z",
|
| 5 |
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"args": [
|
| 6 |
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|
| 7 |
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|
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|
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Downloading shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [02:25<00:00, 72.82s/it]
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Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:05<00:00, 2.68s/it]
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tokenized_valid: Dataset({
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features: ['input_ids', 'attention_mask'],
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num_rows: 600
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})
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/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/transformers/training_args.py:1545: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
|
| 8 |
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warnings.warn(
|
| 9 |
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[2024-11-01 20:08:09,442] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-11-01 20:08:19,404] [INFO] [comm.py:652:init_distributed] cdb=None
|
| 11 |
+
Installed CUDA version 11.8 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
|
| 12 |
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Using /home/chunhui/.cache/torch_extensions/py39_cu117 as PyTorch extensions root...
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Loading extension module cpu_adam...
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Time to load cpu_adam op: 5.504069089889526 seconds
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
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|
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|
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|
|
|
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|
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|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
funcsigs==1.0.2
|
| 2 |
+
sentry-sdk==2.17.0
|
| 3 |
+
multiprocess==0.70.16
|
| 4 |
+
numpy==1.26.2
|
| 5 |
+
pluralizer==1.2.0
|
| 6 |
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debugpy==1.6.7
|
| 7 |
+
nvidia-cudnn-cu11==8.5.0.96
|
| 8 |
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deepspeed==0.15.2
|
| 9 |
+
data==0.4
|
| 10 |
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pandas==2.1.3
|
| 11 |
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tomli==2.0.1
|
| 12 |
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charset-normalizer==3.3.2
|
| 13 |
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attrs==24.2.0
|
| 14 |
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aiosignal==1.3.1
|
| 15 |
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fsspec==2023.10.0
|
| 16 |
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nvidia-cusparse-cu11==11.7.4.91
|
| 17 |
+
zipp==3.12.0
|
| 18 |
+
mypy-extensions==1.0.0
|
| 19 |
+
datasets==3.0.1
|
| 20 |
+
joblib==1.3.2
|
| 21 |
+
hjson==3.1.0
|
| 22 |
+
traitlets==5.7.1
|
| 23 |
+
stack-data==0.6.0
|
| 24 |
+
transformers==4.45.1
|
| 25 |
+
sympy==1.11.1
|
| 26 |
+
Pygments==2.15.0
|
| 27 |
+
docker-pycreds==0.4.0
|
| 28 |
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dill==0.3.8
|
| 29 |
+
wheel==0.44.0
|
| 30 |
+
prompt-toolkit==3.0.30
|
| 31 |
+
parso==0.8.3
|
| 32 |
+
ipykernel==6.23.1
|
| 33 |
+
pyarrow==17.0.0
|
| 34 |
+
certifi==2023.11.17
|
| 35 |
+
nvidia-cufft-cu11==10.9.0.58
|
| 36 |
+
six==1.16.0
|
| 37 |
+
pydantic==2.9.2
|
| 38 |
+
click==8.1.7
|
| 39 |
+
nest-asyncio==1.5.6
|
| 40 |
+
gmpy2==2.1.0
|
| 41 |
+
matplotlib==3.8.2
|
| 42 |
+
scipy==1.11.4
|
| 43 |
+
typing_extensions==4.12.2
|
| 44 |
+
statsmodels==0.14.0
|
| 45 |
+
huggingface-hub==0.25.0
|
| 46 |
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frozenlist==1.4.1
|
| 47 |
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gpustat==1.1.1
|
| 48 |
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nvidia-nvtx-cu11==11.7.91
|
| 49 |
+
safetensors==0.4.5
|
| 50 |
+
stanza==1.9.2
|
| 51 |
+
decorator==5.1.1
|
| 52 |
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seaborn==0.13.0
|
| 53 |
+
sentencepiece==0.2.0
|
| 54 |
+
PyYAML==6.0.1
|
| 55 |
+
black==24.8.0
|
| 56 |
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protobuf==4.25.1
|
| 57 |
+
pickleshare==0.7.5
|
| 58 |
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peft==0.13.0
|
| 59 |
+
triton==2.0.0
|
| 60 |
+
nvidia-cuda-runtime-cu11==11.7.99
|
| 61 |
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Jinja2==3.1.2
|
| 62 |
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nvidia-cusolver-cu11==11.4.0.1
|
| 63 |
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executing==1.2.0
|
| 64 |
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jupyter_client==8.1.0
|
| 65 |
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pluggy==1.3.0
|
| 66 |
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cmake==3.30.3
|
| 67 |
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pytz==2023.3.post1
|
| 68 |
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aiohappyeyeballs==2.4.2
|
| 69 |
+
kiwisolver==1.4.5
|
| 70 |
+
py-cpuinfo==9.0.0
|
| 71 |
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Pillow==10.1.0
|
| 72 |
+
ptyprocess==0.7.0
|
| 73 |
+
importlib_resources==6.4.5
|
| 74 |
+
GitPython==3.1.43
|
| 75 |
+
importlib-metadata==6.0.0
|
| 76 |
+
iniconfig==2.0.0
|
| 77 |
+
scikit-learn==1.3.2
|
| 78 |
+
exceptiongroup==1.1.0
|
| 79 |
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networkx==2.8.6
|
| 80 |
+
accelerate==1.0.0
|
| 81 |
+
nltk==3.8.1
|
| 82 |
+
shutilwhich==1.1.0
|
| 83 |
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fonttools==4.45.1
|
| 84 |
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future==0.18.3
|
| 85 |
+
aiohttp==3.10.6
|
| 86 |
+
wcwidth==0.2.5
|
| 87 |
+
idna==3.6
|
| 88 |
+
filelock==3.12.2
|
| 89 |
+
pathspec==0.12.1
|
| 90 |
+
jupyter_core==5.1.0
|
| 91 |
+
lit==18.1.8
|
| 92 |
+
nvidia-curand-cu11==10.2.10.91
|
| 93 |
+
nvidia-cublas-cu11==11.10.3.66
|
| 94 |
+
nvidia-ml-py==12.560.30
|
| 95 |
+
msgpack==1.1.0
|
| 96 |
+
python-dateutil==2.8.2
|
| 97 |
+
blessed==1.20.0
|
| 98 |
+
packaging==23.0
|
| 99 |
+
gitdb==4.0.11
|
| 100 |
+
yarl==1.13.0
|
| 101 |
+
emoji==2.8.0
|
| 102 |
+
tzdata==2023.3
|
| 103 |
+
cycler==0.12.1
|
| 104 |
+
tornado==6.2
|
| 105 |
+
backcall==0.2.0
|
| 106 |
+
plotnine==0.12.4
|
| 107 |
+
ninja==1.11.1.1
|
| 108 |
+
latex==0.7.0
|
| 109 |
+
wandb==0.18.5
|
| 110 |
+
setproctitle==1.3.3
|
| 111 |
+
threadpoolctl==3.2.0
|
| 112 |
+
requests==2.32.3
|
| 113 |
+
pyparsing==3.1.1
|
| 114 |
+
smmap==5.0.1
|
| 115 |
+
pyzmq==23.0.0
|
| 116 |
+
async-timeout==4.0.3
|
| 117 |
+
annotated-types==0.7.0
|
| 118 |
+
matplotlib-inline==0.1.6
|
| 119 |
+
latexcodec==1.0.0
|
| 120 |
+
ipython==8.0.0
|
| 121 |
+
patsy==0.5.3
|
| 122 |
+
contourpy==1.2.0
|
| 123 |
+
multidict==6.1.0
|
| 124 |
+
mizani==0.9.3
|
| 125 |
+
urllib3==2.1.0
|
| 126 |
+
tokenizers==0.20.0
|
| 127 |
+
MarkupSafe==2.1.2
|
| 128 |
+
pip==24.2
|
| 129 |
+
pexpect==4.8.0
|
| 130 |
+
tqdm==4.66.5
|
| 131 |
+
jedi==0.18.2
|
| 132 |
+
pydantic_core==2.23.4
|
| 133 |
+
tempdir==0.7.1
|
| 134 |
+
mpmath==1.2.1
|
| 135 |
+
setuptools==72.1.0
|
| 136 |
+
pytest==7.4.3
|
| 137 |
+
pure-eval==0.2.2
|
| 138 |
+
psutil==5.9.1
|
| 139 |
+
comm==0.1.2
|
| 140 |
+
nvidia-cuda-cupti-cu11==11.7.101
|
| 141 |
+
nvidia-cuda-nvrtc-cu11==11.7.99
|
| 142 |
+
regex==2023.10.3
|
| 143 |
+
platformdirs==2.5.2
|
| 144 |
+
asttokens==2.2.1
|
| 145 |
+
torch==2.0.0
|
| 146 |
+
nvidia-nccl-cu11==2.14.3
|
| 147 |
+
xxhash==3.5.0
|
wandb/run-20241101_200535-hnfjoqai/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.4.0-162-generic-x86_64-with-glibc2.31",
|
| 3 |
+
"python": "3.9.19",
|
| 4 |
+
"startedAt": "2024-11-02T00:05:35.852878Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--perturbation",
|
| 7 |
+
"shuffle_nondeterministic",
|
| 8 |
+
"--train_set",
|
| 9 |
+
"10M",
|
| 10 |
+
"--batch_size",
|
| 11 |
+
"3",
|
| 12 |
+
"--epoch",
|
| 13 |
+
"3",
|
| 14 |
+
"--seed",
|
| 15 |
+
"0"
|
| 16 |
+
],
|
| 17 |
+
"program": "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py",
|
| 18 |
+
"codePath": "train/train_deep_wandb.py",
|
| 19 |
+
"git": {
|
| 20 |
+
"remote": "git@hf.co:Yaning1001/Impossible_llm.git",
|
| 21 |
+
"commit": "ed716cdcfcdea02b67f7ed0f3504c2b1c8b737c4"
|
| 22 |
+
},
|
| 23 |
+
"email": "yaning1001@gmail.com",
|
| 24 |
+
"root": "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train",
|
| 25 |
+
"host": "mms-large-2",
|
| 26 |
+
"username": "chunhui",
|
| 27 |
+
"executable": "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/bin/python",
|
| 28 |
+
"codePathLocal": "train_deep_wandb.py",
|
| 29 |
+
"cpu_count": 32,
|
| 30 |
+
"cpu_count_logical": 64,
|
| 31 |
+
"gpu": "NVIDIA RTX A6000",
|
| 32 |
+
"gpu_count": 8,
|
| 33 |
+
"disk": {
|
| 34 |
+
"/": {
|
| 35 |
+
"total": "1888559353856",
|
| 36 |
+
"used": "1754801680384"
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"memory": {
|
| 40 |
+
"total": "202617098240"
|
| 41 |
+
},
|
| 42 |
+
"cpu": {
|
| 43 |
+
"count": 32,
|
| 44 |
+
"countLogical": 64
|
| 45 |
+
},
|
| 46 |
+
"gpu_nvidia": [
|
| 47 |
+
{
|
| 48 |
+
"name": "NVIDIA RTX A6000",
|
| 49 |
+
"memoryTotal": "51527024640",
|
| 50 |
+
"cudaCores": 10752,
|
| 51 |
+
"architecture": "Ampere"
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"name": "NVIDIA RTX A6000",
|
| 55 |
+
"memoryTotal": "51527024640",
|
| 56 |
+
"cudaCores": 10752,
|
| 57 |
+
"architecture": "Ampere"
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"name": "NVIDIA RTX A6000",
|
| 61 |
+
"memoryTotal": "51527024640",
|
| 62 |
+
"cudaCores": 10752,
|
| 63 |
+
"architecture": "Ampere"
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"name": "NVIDIA RTX A6000",
|
| 67 |
+
"memoryTotal": "51527024640",
|
| 68 |
+
"cudaCores": 10752,
|
| 69 |
+
"architecture": "Ampere"
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "NVIDIA RTX A6000",
|
| 73 |
+
"memoryTotal": "51527024640",
|
| 74 |
+
"cudaCores": 10752,
|
| 75 |
+
"architecture": "Ampere"
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "NVIDIA RTX A6000",
|
| 79 |
+
"memoryTotal": "51527024640",
|
| 80 |
+
"cudaCores": 10752,
|
| 81 |
+
"architecture": "Ampere"
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "NVIDIA RTX A6000",
|
| 85 |
+
"memoryTotal": "51527024640",
|
| 86 |
+
"cudaCores": 10752,
|
| 87 |
+
"architecture": "Ampere"
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "NVIDIA RTX A6000",
|
| 91 |
+
"memoryTotal": "51527024640",
|
| 92 |
+
"cudaCores": 10752,
|
| 93 |
+
"architecture": "Ampere"
|
| 94 |
+
}
|
| 95 |
+
],
|
| 96 |
+
"cudaVersion": "11.8"
|
| 97 |
+
}
|
wandb/run-20241101_200535-hnfjoqai/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2024-11-01T20:05:35.855602934-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
|
| 2 |
+
{"time":"2024-11-01T20:05:35.855625184-04:00","level":"INFO","msg":"created symlink","path":"/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_200535-hnfjoqai/logs/debug-core.log"}
|
| 3 |
+
{"time":"2024-11-01T20:05:35.961440222-04:00","level":"INFO","msg":"created new stream","id":"hnfjoqai"}
|
| 4 |
+
{"time":"2024-11-01T20:05:35.961471872-04:00","level":"INFO","msg":"stream: started","id":"hnfjoqai"}
|
| 5 |
+
{"time":"2024-11-01T20:05:35.961498182-04:00","level":"INFO","msg":"sender: started","stream_id":"hnfjoqai"}
|
| 6 |
+
{"time":"2024-11-01T20:05:35.961486682-04:00","level":"INFO","msg":"writer: Do: started","stream_id":{"value":"hnfjoqai"}}
|
| 7 |
+
{"time":"2024-11-01T20:05:35.961499202-04:00","level":"INFO","msg":"handler: started","stream_id":{"value":"hnfjoqai"}}
|
| 8 |
+
{"time":"2024-11-01T20:05:36.182162772-04:00","level":"INFO","msg":"Starting system monitor"}
|
wandb/run-20241101_200535-hnfjoqai/logs/debug.log
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2024-11-01 20:05:35,849 INFO MainThread:871227 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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| 2 |
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2024-11-01 20:05:35,849 INFO MainThread:871227 [wandb_setup.py:_flush():79] Configure stats pid to 871227
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| 3 |
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2024-11-01 20:05:35,849 INFO MainThread:871227 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
|
| 4 |
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2024-11-01 20:05:35,849 INFO MainThread:871227 [wandb_setup.py:_flush():79] Loading settings from /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/settings
|
| 5 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
|
| 6 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
|
| 7 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_setup.py:_flush():79] Inferring run settings from compute environment: {'program_relpath': 'train/train_deep_wandb.py', 'program_abspath': '/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py', 'program': '/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py'}
|
| 8 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_setup.py:_flush():79] Applying login settings: {}
|
| 9 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_init.py:_log_setup():534] Logging user logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_200535-hnfjoqai/logs/debug.log
|
| 10 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_init.py:_log_setup():535] Logging internal logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_200535-hnfjoqai/logs/debug-internal.log
|
| 11 |
+
2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_init.py:init():621] calling init triggers
|
| 12 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
|
| 13 |
+
config: {}
|
| 14 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_init.py:init():671] starting backend
|
| 15 |
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2024-11-01 20:05:35,850 INFO MainThread:871227 [wandb_init.py:init():675] sending inform_init request
|
| 16 |
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2024-11-01 20:05:35,852 INFO MainThread:871227 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
| 17 |
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2024-11-01 20:05:35,852 INFO MainThread:871227 [wandb_init.py:init():688] backend started and connected
|
| 18 |
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2024-11-01 20:05:35,855 INFO MainThread:871227 [wandb_init.py:init():783] updated telemetry
|
| 19 |
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2024-11-01 20:05:35,877 INFO MainThread:871227 [wandb_init.py:init():816] communicating run to backend with 90.0 second timeout
|
| 20 |
+
2024-11-01 20:05:36,179 INFO MainThread:871227 [wandb_init.py:init():867] starting run threads in backend
|
| 21 |
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2024-11-01 20:05:36,268 INFO MainThread:871227 [wandb_run.py:_console_start():2463] atexit reg
|
| 22 |
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2024-11-01 20:05:36,268 INFO MainThread:871227 [wandb_run.py:_redirect():2311] redirect: wrap_raw
|
| 23 |
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2024-11-01 20:05:36,268 INFO MainThread:871227 [wandb_run.py:_redirect():2376] Wrapping output streams.
|
| 24 |
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2024-11-01 20:05:36,268 INFO MainThread:871227 [wandb_run.py:_redirect():2401] Redirects installed.
|
| 25 |
+
2024-11-01 20:05:36,269 INFO MainThread:871227 [wandb_init.py:init():911] run started, returning control to user process
|
| 26 |
+
2024-11-01 20:05:36,270 INFO MainThread:871227 [wandb_run.py:_config_callback():1390] config_cb None None {'perturbation': 'shuffle_nondeterministic', 'train_set': '10M', 'batch_size': 3, 'epoch': 3, 'seed': 0, 'lr': 5e-06}
|
wandb/run-20241101_201910-hnwfqg73/files/output.log
ADDED
|
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|
| 1 |
+
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
|
wandb/run-20241101_201910-hnwfqg73/files/requirements.txt
ADDED
|
@@ -0,0 +1,147 @@
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| 1 |
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funcsigs==1.0.2
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nvidia-cudnn-cu11==8.5.0.96
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aiosignal==1.3.1
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nvidia-cusparse-cu11==11.7.4.91
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|
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|
| 19 |
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|
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| 23 |
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|
| 24 |
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| 25 |
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|
| 28 |
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dill==0.3.8
|
| 29 |
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wheel==0.44.0
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| 30 |
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| 31 |
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| 32 |
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ipykernel==6.23.1
|
| 33 |
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pyarrow==17.0.0
|
| 34 |
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certifi==2023.11.17
|
| 35 |
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nvidia-cufft-cu11==10.9.0.58
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six==1.16.0
|
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pydantic==2.9.2
|
| 38 |
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| 39 |
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nest-asyncio==1.5.6
|
| 40 |
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gmpy2==2.1.0
|
| 41 |
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matplotlib==3.8.2
|
| 42 |
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scipy==1.11.4
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typing_extensions==4.12.2
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statsmodels==0.14.0
|
| 45 |
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huggingface-hub==0.25.0
|
| 46 |
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frozenlist==1.4.1
|
| 47 |
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gpustat==1.1.1
|
| 48 |
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nvidia-nvtx-cu11==11.7.91
|
| 49 |
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safetensors==0.4.5
|
| 50 |
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stanza==1.9.2
|
| 51 |
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decorator==5.1.1
|
| 52 |
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seaborn==0.13.0
|
| 53 |
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sentencepiece==0.2.0
|
| 54 |
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PyYAML==6.0.1
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| 55 |
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black==24.8.0
|
| 56 |
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protobuf==4.25.1
|
| 57 |
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pickleshare==0.7.5
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| 58 |
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peft==0.13.0
|
| 59 |
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triton==2.0.0
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| 60 |
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nvidia-cuda-runtime-cu11==11.7.99
|
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|
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nvidia-cusolver-cu11==11.4.0.1
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|
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ptyprocess==0.7.0
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|
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nvidia-ml-py==12.560.30
|
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|
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plotnine==0.12.4
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|
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|
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pip==24.2
|
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|
| 130 |
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|
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|
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|
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|
| 136 |
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|
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|
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|
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comm==0.1.2
|
| 140 |
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nvidia-cuda-cupti-cu11==11.7.101
|
| 141 |
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nvidia-cuda-nvrtc-cu11==11.7.99
|
| 142 |
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|
| 143 |
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|
| 144 |
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asttokens==2.2.1
|
| 145 |
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torch==2.0.0
|
| 146 |
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nvidia-nccl-cu11==2.14.3
|
| 147 |
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|
wandb/run-20241101_201910-hnwfqg73/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
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|
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.4.0-162-generic-x86_64-with-glibc2.31",
|
| 3 |
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"python": "3.9.19",
|
| 4 |
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"startedAt": "2024-11-02T00:19:10.340985Z",
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| 5 |
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"args": [
|
| 6 |
+
"--perturbation",
|
| 7 |
+
"shuffle_nondeterministic",
|
| 8 |
+
"--train_set",
|
| 9 |
+
"10M",
|
| 10 |
+
"--batch_size",
|
| 11 |
+
"3",
|
| 12 |
+
"--epoch",
|
| 13 |
+
"3",
|
| 14 |
+
"--seed",
|
| 15 |
+
"0"
|
| 16 |
+
],
|
| 17 |
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"program": "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py",
|
| 18 |
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|
| 19 |
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"git": {
|
| 20 |
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|
| 21 |
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"commit": "ed716cdcfcdea02b67f7ed0f3504c2b1c8b737c4"
|
| 22 |
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},
|
| 23 |
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"email": "yaning1001@gmail.com",
|
| 24 |
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"root": "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train",
|
| 25 |
+
"host": "mms-large-2",
|
| 26 |
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"username": "chunhui",
|
| 27 |
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"executable": "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/bin/python",
|
| 28 |
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|
| 29 |
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|
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|
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|
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| 33 |
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"disk": {
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"/": {
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"total": "1888559353856",
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|
| 37 |
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|
| 38 |
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| 39 |
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| 40 |
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|
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"gpu_nvidia": [
|
| 47 |
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{
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| 48 |
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|
| 49 |
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|
| 50 |
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"cudaCores": 10752,
|
| 51 |
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|
| 52 |
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},
|
| 53 |
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{
|
| 54 |
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"name": "NVIDIA RTX A6000",
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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{
|
| 60 |
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"name": "NVIDIA RTX A6000",
|
| 61 |
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|
| 62 |
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"cudaCores": 10752,
|
| 63 |
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"architecture": "Ampere"
|
| 64 |
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},
|
| 65 |
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{
|
| 66 |
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"name": "NVIDIA RTX A6000",
|
| 67 |
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"memoryTotal": "51527024640",
|
| 68 |
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"cudaCores": 10752,
|
| 69 |
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"architecture": "Ampere"
|
| 70 |
+
},
|
| 71 |
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{
|
| 72 |
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"name": "NVIDIA RTX A6000",
|
| 73 |
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"memoryTotal": "51527024640",
|
| 74 |
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"cudaCores": 10752,
|
| 75 |
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"architecture": "Ampere"
|
| 76 |
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|
| 77 |
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{
|
| 78 |
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"name": "NVIDIA RTX A6000",
|
| 79 |
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"memoryTotal": "51527024640",
|
| 80 |
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"cudaCores": 10752,
|
| 81 |
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"architecture": "Ampere"
|
| 82 |
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|
| 83 |
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{
|
| 84 |
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"name": "NVIDIA RTX A6000",
|
| 85 |
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"memoryTotal": "51527024640",
|
| 86 |
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"cudaCores": 10752,
|
| 87 |
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"architecture": "Ampere"
|
| 88 |
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},
|
| 89 |
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{
|
| 90 |
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"name": "NVIDIA RTX A6000",
|
| 91 |
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"memoryTotal": "51527024640",
|
| 92 |
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"cudaCores": 10752,
|
| 93 |
+
"architecture": "Ampere"
|
| 94 |
+
}
|
| 95 |
+
],
|
| 96 |
+
"cudaVersion": "11.8"
|
| 97 |
+
}
|
wandb/run-20241101_201910-hnwfqg73/logs/debug-internal.log
ADDED
|
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|
| 1 |
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{"time":"2024-11-01T20:19:10.34296008-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
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{"time":"2024-11-01T20:19:10.34297059-04:00","level":"INFO","msg":"created symlink","path":"/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_201910-hnwfqg73/logs/debug-core.log"}
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{"time":"2024-11-01T20:19:10.450869411-04:00","level":"INFO","msg":"created new stream","id":"hnwfqg73"}
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{"time":"2024-11-01T20:19:10.708980733-04:00","level":"INFO","msg":"Starting system monitor"}
|
wandb/run-20241101_201910-hnwfqg73/logs/debug.log
ADDED
|
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2024-11-01 20:19:10,337 INFO MainThread:877653 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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2024-11-01 20:19:10,337 INFO MainThread:877653 [wandb_setup.py:_flush():79] Configure stats pid to 877653
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_setup.py:_flush():79] Loading settings from /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/settings
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_setup.py:_flush():79] Inferring run settings from compute environment: {'program_relpath': 'train/train_deep_wandb.py', 'program_abspath': '/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py', 'program': '/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py'}
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_setup.py:_flush():79] Applying login settings: {}
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_init.py:init():621] calling init triggers
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
|
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2024-11-01 20:19:10,338 INFO MainThread:877653 [wandb_init.py:init():671] starting backend
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2024-11-01 20:19:10,344 INFO MainThread:877653 [wandb_init.py:init():783] updated telemetry
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2024-11-01 20:19:10,706 INFO MainThread:877653 [wandb_init.py:init():867] starting run threads in backend
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2024-11-01 20:19:10,792 INFO MainThread:877653 [wandb_run.py:_console_start():2463] atexit reg
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2024-11-01 20:19:10,794 INFO MainThread:877653 [wandb_run.py:_config_callback():1390] config_cb None None {'perturbation': 'shuffle_nondeterministic', 'train_set': '10M', 'batch_size': 3, 'epoch': 3, 'seed': 0, 'lr': 5e-06}
|
wandb/run-20241101_201910-hnwfqg73/run-hnwfqg73.wandb
ADDED
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File without changes
|
wandb/run-20241105_160217-21j8oh7z/files/config.yaml
ADDED
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| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.18.5
|
| 4 |
+
m: []
|
| 5 |
+
python_version: 3.9.19
|
| 6 |
+
t:
|
| 7 |
+
"1":
|
| 8 |
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- 1
|
| 9 |
+
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|
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"2":
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|
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|
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"3":
|
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|
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|
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|
| 31 |
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|
| 32 |
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"5": 0.18.5
|
| 33 |
+
"6": 4.45.1
|
| 34 |
+
"8":
|
| 35 |
+
- 5
|
| 36 |
+
"12": 0.18.5
|
| 37 |
+
"13": linux-x86_64
|
| 38 |
+
batch_size:
|
| 39 |
+
value: 3
|
| 40 |
+
epoch:
|
| 41 |
+
value: 3
|
| 42 |
+
lr:
|
| 43 |
+
value: 5e-06
|
| 44 |
+
perturbation:
|
| 45 |
+
value: shuffle_deterministic21
|
| 46 |
+
seed:
|
| 47 |
+
value: 0
|
| 48 |
+
train_set:
|
| 49 |
+
value: 10M
|
wandb/run-20241105_160217-21j8oh7z/files/output.log
ADDED
|
@@ -0,0 +1,19 @@
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|
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|
|
|
|
|
|
|
| 1 |
+
Traceback (most recent call last):
|
| 2 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/pathlib.py", line 1323, in mkdir
|
| 3 |
+
self._accessor.mkdir(self, mode)
|
| 4 |
+
FileNotFoundError: [Errno 2] No such file or directory: '/home/chunhui/.cache/huggingface/datasets/babylm_dataset_test/babylm_shuffle_deterministic21_10M_seed0/0.0.0'
|
| 5 |
+
|
| 6 |
+
During handling of the above exception, another exception occurred:
|
| 7 |
+
|
| 8 |
+
Traceback (most recent call last):
|
| 9 |
+
File "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py", line 165, in <module>
|
| 10 |
+
dataset = load_dataset('babylm_dataset_test.py', name=dataset_name, trust_remote_code=True)
|
| 11 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/datasets/load.py", line 2096, in load_dataset
|
| 12 |
+
builder_instance.download_and_prepare(
|
| 13 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/site-packages/datasets/builder.py", line 855, in download_and_prepare
|
| 14 |
+
Path(self._output_dir).parent.mkdir(parents=True, exist_ok=True)
|
| 15 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/pathlib.py", line 1327, in mkdir
|
| 16 |
+
self.parent.mkdir(parents=True, exist_ok=True)
|
| 17 |
+
File "/mnt/ssd3/chunhui/miniconda/envs/impossible_llm/lib/python3.9/pathlib.py", line 1323, in mkdir
|
| 18 |
+
self._accessor.mkdir(self, mode)
|
| 19 |
+
OSError: [Errno 28] No space left on device: '/home/chunhui/.cache/huggingface/datasets/babylm_dataset_test/babylm_shuffle_deterministic21_10M_seed0'
|