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.gitattributes
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wandb/run-20241030_222932-sh4rlbgu/run-sh4rlbgu.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20241030_222932-sh4rlbgu/run-sh4rlbgu.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20241113_180154-b24s43he/run-b24s43he.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20241030_233740-0fagh7s8/run-0fagh7s8.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20241031_001055-dua2g15g/run-dua2g15g.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20241101_200535-xloij0da/run-xloij0da.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20241030_112700-d8o4g13r/files/wandb-metadata.json
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{
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"--perturbation",
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"reverse_control",
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"--train_set",
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"10M",
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"--batch_size",
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"3",
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"--epoch",
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"3",
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"--seed",
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"0"
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"program": "/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/train_deep_wandb.py",
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| 25 |
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"username": "chunhui",
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"name": "NVIDIA RTX A6000",
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"name": "NVIDIA RTX A6000",
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"architecture": "Ampere"
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wandb/run-20241030_231835-no2y29q9/files/output.log
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Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:05<00:00, 2.94s/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
|
| 7 |
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warnings.warn(
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[2024-10-30 23:18:43,562] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-30 23:18:53,300] [INFO] [comm.py:652:init_distributed] cdb=None
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[2024-10-30 23:18:53,301] [INFO] [comm.py:683:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
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| 11 |
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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.
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| 12 |
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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
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| 13 |
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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: 5.888516664505005 seconds
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[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.
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| 17 |
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| 18 |
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{'loss': 2.7525, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.0}
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{'loss': 2.7605, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.0}
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{'loss': 2.8008, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.0}
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| 21 |
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{'loss': 2.809, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.0}
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{'loss': 2.7841, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.01}
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| 23 |
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{'loss': 2.7924, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.01}
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{'loss': 2.7732, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.01}
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{'loss': 2.7953, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.01}
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{'loss': 2.7747, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.01}
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{'loss': 2.7909, 'grad_norm': 0.0, 'learning_rate': 5e-06, 'epoch': 0.01}
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{'loss': 1.799, 'grad_norm': 2.449467182159424, 'learning_rate': 4.791238877481178e-06, 'epoch': 0.14}
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{'loss': 1.765, 'grad_norm': 2.472188949584961, 'learning_rate': 4.78952772073922e-06, 'epoch': 0.14}
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{'loss': 1.7534, 'grad_norm': 2.3607966899871826, 'learning_rate': 4.787816563997262e-06, 'epoch': 0.14}
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{'loss': 1.7835, 'grad_norm': 2.830254077911377, 'learning_rate': 4.786105407255305e-06, 'epoch': 0.14}
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{'loss': 1.7279, 'grad_norm': 2.241579532623291, 'learning_rate': 4.784394250513347e-06, 'epoch': 0.15}
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{'loss': 1.87, 'grad_norm': 2.860384941101074, 'learning_rate': 4.78268309377139e-06, 'epoch': 0.15}
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{'loss': 1.7452, 'grad_norm': 2.333618640899658, 'learning_rate': 4.7809719370294325e-06, 'epoch': 0.15}
|
| 177 |
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{'loss': 1.729, 'grad_norm': 2.3267569541931152, 'learning_rate': 4.779260780287474e-06, 'epoch': 0.15}
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| 178 |
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{'loss': 1.7302, 'grad_norm': 2.508273124694824, 'learning_rate': 4.777549623545517e-06, 'epoch': 0.15}
|
| 179 |
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{'loss': 1.7606, 'grad_norm': 2.3898637294769287, 'learning_rate': 4.7758384668035595e-06, 'epoch': 0.15}
|
| 180 |
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{'loss': 1.7658, 'grad_norm': 2.4441757202148438, 'learning_rate': 4.774127310061602e-06, 'epoch': 0.15}
|
| 181 |
+
{'loss': 1.8535, 'grad_norm': 2.4708995819091797, 'learning_rate': 4.772416153319645e-06, 'epoch': 0.15}
|
| 182 |
+
{'loss': 1.7782, 'grad_norm': 2.721252918243408, 'learning_rate': 4.770704996577687e-06, 'epoch': 0.15}
|
| 183 |
+
{'eval_loss': 1.980696201324463, 'eval_runtime': 11.5248, 'eval_samples_per_second': 52.062, 'eval_steps_per_second': 1.128, 'epoch': 0.15}
|
wandb/run-20241030_231835-no2y29q9/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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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
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 |
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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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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 |
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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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hjson==3.1.0
|
| 22 |
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traitlets==5.7.1
|
| 23 |
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stack-data==0.6.0
|
| 24 |
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transformers==4.45.1
|
| 25 |
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sympy==1.11.1
|
| 26 |
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Pygments==2.15.0
|
| 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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prompt-toolkit==3.0.30
|
| 31 |
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parso==0.8.3
|
| 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
|
| 36 |
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six==1.16.0
|
| 37 |
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pydantic==2.9.2
|
| 38 |
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click==8.1.7
|
| 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
|
| 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 |
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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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wcwidth==0.2.5
|
| 87 |
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idna==3.6
|
| 88 |
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filelock==3.12.2
|
| 89 |
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pathspec==0.12.1
|
| 90 |
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jupyter_core==5.1.0
|
| 91 |
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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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emoji==2.8.0
|
| 102 |
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tzdata==2023.3
|
| 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
|
| 108 |
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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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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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patsy==0.5.3
|
| 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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MarkupSafe==2.1.2
|
| 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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jedi==0.18.2
|
| 132 |
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pydantic_core==2.23.4
|
| 133 |
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tempdir==0.7.1
|
| 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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xxhash==3.5.0
|
wandb/run-20241030_231835-no2y29q9/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 |
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"startedAt": "2024-10-31T03:18:35.473254Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--perturbation",
|
| 7 |
+
"reverse_full",
|
| 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 |
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"git": {
|
| 20 |
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"remote": "git@hf.co:Yaning1001/Impossible_llm.git",
|
| 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 |
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"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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"codePathLocal": "train_deep_wandb.py",
|
| 29 |
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"cpu_count": 32,
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| 30 |
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"cpu_count_logical": 64,
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| 31 |
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"gpu": "NVIDIA RTX A6000",
|
| 32 |
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"gpu_count": 8,
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| 33 |
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"disk": {
|
| 34 |
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"/": {
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| 35 |
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"total": "1888559353856",
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| 36 |
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"used": "1711064555520"
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| 37 |
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}
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| 38 |
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},
|
| 39 |
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"memory": {
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| 40 |
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"total": "202617098240"
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| 41 |
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},
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| 42 |
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"cpu": {
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| 43 |
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"count": 32,
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| 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 |
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"cudaCores": 10752,
|
| 51 |
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"architecture": "Ampere"
|
| 52 |
+
},
|
| 53 |
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{
|
| 54 |
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|
| 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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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
+
{
|
| 66 |
+
"name": "NVIDIA RTX A6000",
|
| 67 |
+
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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{
|
| 72 |
+
"name": "NVIDIA RTX A6000",
|
| 73 |
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"memoryTotal": "51527024640",
|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
+
{
|
| 78 |
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"name": "NVIDIA RTX A6000",
|
| 79 |
+
"memoryTotal": "51527024640",
|
| 80 |
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|
| 81 |
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"architecture": "Ampere"
|
| 82 |
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|
| 83 |
+
{
|
| 84 |
+
"name": "NVIDIA RTX A6000",
|
| 85 |
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"memoryTotal": "51527024640",
|
| 86 |
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|
| 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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|
| 92 |
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|
| 93 |
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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_231835-no2y29q9/logs/debug-internal.log
ADDED
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| 1 |
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{"time":"2024-10-30T23:18:35.475047064-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
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wandb/run-20241030_231835-no2y29q9/logs/debug.log
ADDED
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2024-10-30 23:18:35,471 INFO MainThread:457826 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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2024-10-30 23:18:35,471 INFO MainThread:457826 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
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2024-10-30 23:18:35,471 INFO MainThread:457826 [wandb_init.py:init():671] starting backend
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2024-10-30 23:19:28,559 INFO MainThread:457826 [wandb_run.py:_config_callback():1390] config_cb None None {'vocab_size': 128256, 'max_position_embeddings': 131072, 'hidden_size': 3072, 'intermediate_size': 8192, 'num_hidden_layers': 28, 'num_attention_heads': 24, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': True, 'rope_theta': 500000.0, 'rope_scaling': {'factor': 32.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 128, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'bfloat16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': 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|
| 28 |
+
2024-10-30 23:19:28,563 INFO MainThread:457826 [wandb_config.py:__setitem__():154] config set model/num_parameters = 3212749824 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7f2a7e632f10>>
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| 29 |
+
2024-10-30 23:19:28,563 INFO MainThread:457826 [wandb_run.py:_config_callback():1390] config_cb model/num_parameters 3212749824 None
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wandb/run-20241030_233740-a8ghkt6q/files/output.log
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Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:05<00:00, 2.95s/it]
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tokenized_valid: Dataset({
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| 3 |
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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 |
+
[2024-10-30 23:37:50,707] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 9 |
+
[2024-10-30 23:37:58,435] [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 |
+
Loading extension module cpu_adam...
|
| 13 |
+
Time to load cpu_adam op: 4.681263446807861 seconds
|
wandb/run-20241030_233740-a8ghkt6q/files/requirements.txt
ADDED
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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
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| 10 |
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| 11 |
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tomli==2.0.1
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| 12 |
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| 13 |
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| 15 |
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|
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nvidia-cusparse-cu11==11.7.4.91
|
| 17 |
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| 18 |
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mypy-extensions==1.0.0
|
| 19 |
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datasets==3.0.1
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| 20 |
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joblib==1.3.2
|
| 21 |
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|
| 22 |
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traitlets==5.7.1
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| 23 |
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|
| 24 |
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| 25 |
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|
| 27 |
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docker-pycreds==0.4.0
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| 28 |
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|
| 29 |
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wheel==0.44.0
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| 30 |
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|
| 31 |
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parso==0.8.3
|
| 32 |
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|
| 33 |
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pyarrow==17.0.0
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| 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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| 36 |
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six==1.16.0
|
| 37 |
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pydantic==2.9.2
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| 38 |
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| 39 |
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nest-asyncio==1.5.6
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| 40 |
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gmpy2==2.1.0
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| 41 |
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matplotlib==3.8.2
|
| 42 |
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scipy==1.11.4
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statsmodels==0.14.0
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huggingface-hub==0.25.0
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nvidia-nvtx-cu11==11.7.91
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safetensors==0.4.5
|
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decorator==5.1.1
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seaborn==0.13.0
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sentencepiece==0.2.0
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black==24.8.0
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protobuf==4.25.1
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aiohappyeyeballs==2.4.2
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kiwisolver==1.4.5
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py-cpuinfo==9.0.0
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ptyprocess==0.7.0
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importlib-metadata==6.0.0
|
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scikit-learn==1.3.2
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networkx==2.8.6
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accelerate==1.0.0
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nltk==3.8.1
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future==0.18.3
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wcwidth==0.2.5
|
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idna==3.6
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lit==18.1.8
|
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nvidia-curand-cu11==10.2.10.91
|
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nvidia-cublas-cu11==11.10.3.66
|
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nvidia-ml-py==12.560.30
|
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msgpack==1.1.0
|
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python-dateutil==2.8.2
|
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blessed==1.20.0
|
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packaging==23.0
|
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gitdb==4.0.11
|
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yarl==1.13.0
|
| 101 |
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emoji==2.8.0
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tzdata==2023.3
|
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cycler==0.12.1
|
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tornado==6.2
|
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backcall==0.2.0
|
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plotnine==0.12.4
|
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ninja==1.11.1.1
|
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latex==0.7.0
|
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wandb==0.18.5
|
| 110 |
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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
|
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patsy==0.5.3
|
| 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
|
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MarkupSafe==2.1.2
|
| 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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jedi==0.18.2
|
| 132 |
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pydantic_core==2.23.4
|
| 133 |
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tempdir==0.7.1
|
| 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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xxhash==3.5.0
|
wandb/run-20241030_233740-a8ghkt6q/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
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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": "2024-10-31T03:37:40.852967Z",
|
| 5 |
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"args": [
|
| 6 |
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"--perturbation",
|
| 7 |
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"reverse_control",
|
| 8 |
+
"--train_set",
|
| 9 |
+
"10M",
|
| 10 |
+
"--batch_size",
|
| 11 |
+
"3",
|
| 12 |
+
"--epoch",
|
| 13 |
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"3",
|
| 14 |
+
"--seed",
|
| 15 |
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"0"
|
| 16 |
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],
|
| 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": {
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| 20 |
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| 21 |
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"commit": "ed716cdcfcdea02b67f7ed0f3504c2b1c8b737c4"
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| 22 |
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},
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| 23 |
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"email": "yaning1001@gmail.com",
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| 24 |
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| 25 |
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| 26 |
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"username": "chunhui",
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| 27 |
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| 28 |
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| 29 |
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"/": {
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| 65 |
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{
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| 68 |
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| 69 |
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"architecture": "Ampere"
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| 70 |
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},
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| 71 |
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{
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| 72 |
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"name": "NVIDIA RTX A6000",
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| 73 |
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"memoryTotal": "51527024640",
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| 74 |
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"cudaCores": 10752,
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| 75 |
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"architecture": "Ampere"
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| 76 |
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},
|
| 77 |
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{
|
| 78 |
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"name": "NVIDIA RTX A6000",
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| 79 |
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"memoryTotal": "51527024640",
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| 80 |
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"cudaCores": 10752,
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| 81 |
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"architecture": "Ampere"
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| 82 |
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},
|
| 83 |
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{
|
| 84 |
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"name": "NVIDIA RTX A6000",
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| 85 |
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"memoryTotal": "51527024640",
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| 86 |
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"cudaCores": 10752,
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| 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",
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| 91 |
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"memoryTotal": "51527024640",
|
| 92 |
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"cudaCores": 10752,
|
| 93 |
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"architecture": "Ampere"
|
| 94 |
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}
|
| 95 |
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],
|
| 96 |
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"cudaVersion": "11.8"
|
| 97 |
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}
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wandb/run-20241030_233740-a8ghkt6q/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,8 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2024-10-30T23:37:40.855273129-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
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{"time":"2024-10-30T23:37:41.220876038-04:00","level":"INFO","msg":"Starting system monitor"}
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wandb/run-20241030_233740-a8ghkt6q/logs/debug.log
ADDED
|
@@ -0,0 +1,26 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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2024-10-30 23:37:40,849 INFO MainThread:464537 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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2024-10-30 23:37:40,849 INFO MainThread:464537 [wandb_setup.py:_flush():79] Configure stats pid to 464537
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2024-10-30 23:37:40,849 INFO MainThread:464537 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
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| 4 |
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2024-10-30 23:37:40,849 INFO MainThread:464537 [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 23:37:40,849 INFO MainThread:464537 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
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2024-10-30 23:37:40,849 INFO MainThread:464537 [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 23:37:40,849 INFO MainThread:464537 [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 23:37:40,849 INFO MainThread:464537 [wandb_setup.py:_flush():79] Applying login settings: {}
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2024-10-30 23:37:40,850 INFO MainThread:464537 [wandb_init.py:_log_setup():534] Logging user logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241030_233740-a8ghkt6q/logs/debug.log
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2024-10-30 23:37:40,850 INFO MainThread:464537 [wandb_init.py:_log_setup():535] Logging internal logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241030_233740-a8ghkt6q/logs/debug-internal.log
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2024-10-30 23:37:40,850 INFO MainThread:464537 [wandb_init.py:init():621] calling init triggers
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2024-10-30 23:37:40,850 INFO MainThread:464537 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
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2024-10-30 23:37:40,850 INFO MainThread:464537 [wandb_init.py:init():671] starting backend
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2024-10-30 23:37:40,855 INFO MainThread:464537 [wandb_init.py:init():783] updated telemetry
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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
|
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|
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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
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
funcsigs==1.0.2
|
| 2 |
+
sentry-sdk==2.17.0
|
| 3 |
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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 |
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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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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 |
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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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hjson==3.1.0
|
| 22 |
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traitlets==5.7.1
|
| 23 |
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stack-data==0.6.0
|
| 24 |
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transformers==4.45.1
|
| 25 |
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sympy==1.11.1
|
| 26 |
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Pygments==2.15.0
|
| 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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prompt-toolkit==3.0.30
|
| 31 |
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parso==0.8.3
|
| 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
|
| 36 |
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six==1.16.0
|
| 37 |
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pydantic==2.9.2
|
| 38 |
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click==8.1.7
|
| 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
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| 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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| 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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jupyter_client==8.1.0
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pluggy==1.3.0
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cmake==3.30.3
|
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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
|
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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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wcwidth==0.2.5
|
| 87 |
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idna==3.6
|
| 88 |
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filelock==3.12.2
|
| 89 |
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pathspec==0.12.1
|
| 90 |
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jupyter_core==5.1.0
|
| 91 |
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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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emoji==2.8.0
|
| 102 |
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tzdata==2023.3
|
| 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
|
| 108 |
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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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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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patsy==0.5.3
|
| 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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MarkupSafe==2.1.2
|
| 128 |
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pip==24.2
|
| 129 |
+
pexpect==4.8.0
|
| 130 |
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tqdm==4.66.5
|
| 131 |
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jedi==0.18.2
|
| 132 |
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pydantic_core==2.23.4
|
| 133 |
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tempdir==0.7.1
|
| 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 |
+
xxhash==3.5.0
|
wandb/run-20241101_012733-val6n9r9/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,97 @@
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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": "2024-11-01T05:27:33.992750Z",
|
| 5 |
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"args": [
|
| 6 |
+
"--perturbation",
|
| 7 |
+
"shuffle_nondeterministic",
|
| 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 |
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"codePath": "train/train_deep_wandb.py",
|
| 19 |
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"git": {
|
| 20 |
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"remote": "git@hf.co:Yaning1001/Impossible_llm.git",
|
| 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 |
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"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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"codePathLocal": "train_deep_wandb.py",
|
| 29 |
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"cpu_count": 32,
|
| 30 |
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"cpu_count_logical": 64,
|
| 31 |
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"gpu": "NVIDIA RTX A6000",
|
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"gpu_count": 8,
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"disk": {
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| 34 |
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"/": {
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| 42 |
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|
| 45 |
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},
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| 46 |
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"gpu_nvidia": [
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| 47 |
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{
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| 48 |
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"name": "NVIDIA RTX A6000",
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| 49 |
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"memoryTotal": "51527024640",
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| 50 |
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| 51 |
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"architecture": "Ampere"
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| 52 |
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},
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| 53 |
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{
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| 54 |
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"name": "NVIDIA RTX A6000",
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| 55 |
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| 56 |
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| 57 |
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"architecture": "Ampere"
|
| 58 |
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},
|
| 59 |
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{
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| 60 |
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"name": "NVIDIA RTX A6000",
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| 61 |
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"memoryTotal": "51527024640",
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| 62 |
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"cudaCores": 10752,
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| 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",
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| 68 |
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"cudaCores": 10752,
|
| 69 |
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"architecture": "Ampere"
|
| 70 |
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},
|
| 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 |
+
"architecture": "Ampere"
|
| 76 |
+
},
|
| 77 |
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{
|
| 78 |
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"name": "NVIDIA RTX A6000",
|
| 79 |
+
"memoryTotal": "51527024640",
|
| 80 |
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"cudaCores": 10752,
|
| 81 |
+
"architecture": "Ampere"
|
| 82 |
+
},
|
| 83 |
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{
|
| 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 |
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}
|
| 95 |
+
],
|
| 96 |
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"cudaVersion": "11.8"
|
| 97 |
+
}
|
wandb/run-20241101_012733-val6n9r9/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2024-11-01T01:27:33.995250587-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
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| 2 |
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{"time":"2024-11-01T01:27:33.995267057-04:00","level":"INFO","msg":"created symlink","path":"/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_012733-val6n9r9/logs/debug-core.log"}
|
| 3 |
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{"time":"2024-11-01T01:27:34.1039281-04:00","level":"INFO","msg":"created new stream","id":"val6n9r9"}
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| 4 |
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{"time":"2024-11-01T01:27:34.103978121-04:00","level":"INFO","msg":"stream: started","id":"val6n9r9"}
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| 5 |
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{"time":"2024-11-01T01:27:34.104094092-04:00","level":"INFO","msg":"sender: started","stream_id":"val6n9r9"}
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| 6 |
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{"time":"2024-11-01T01:27:34.104027291-04:00","level":"INFO","msg":"writer: Do: started","stream_id":{"value":"val6n9r9"}}
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| 7 |
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{"time":"2024-11-01T01:27:34.104049701-04:00","level":"INFO","msg":"handler: started","stream_id":{"value":"val6n9r9"}}
|
| 8 |
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{"time":"2024-11-01T01:27:34.310274622-04:00","level":"INFO","msg":"Starting system monitor"}
|
wandb/run-20241101_012733-val6n9r9/logs/debug.log
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2024-11-01 01:27:33,990 INFO MainThread:678553 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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| 2 |
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2024-11-01 01:27:33,990 INFO MainThread:678553 [wandb_setup.py:_flush():79] Configure stats pid to 678553
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| 3 |
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2024-11-01 01:27:33,990 INFO MainThread:678553 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
|
| 4 |
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2024-11-01 01:27:33,990 INFO MainThread:678553 [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 01:27:33,990 INFO MainThread:678553 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
|
| 6 |
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2024-11-01 01:27:33,990 INFO MainThread:678553 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
|
| 7 |
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2024-11-01 01:27:33,990 INFO MainThread:678553 [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 01:27:33,990 INFO MainThread:678553 [wandb_setup.py:_flush():79] Applying login settings: {}
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| 9 |
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2024-11-01 01:27:33,990 INFO MainThread:678553 [wandb_init.py:_log_setup():534] Logging user logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_012733-val6n9r9/logs/debug.log
|
| 10 |
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2024-11-01 01:27:33,990 INFO MainThread:678553 [wandb_init.py:_log_setup():535] Logging internal logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_012733-val6n9r9/logs/debug-internal.log
|
| 11 |
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2024-11-01 01:27:33,991 INFO MainThread:678553 [wandb_init.py:init():621] calling init triggers
|
| 12 |
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2024-11-01 01:27:33,991 INFO MainThread:678553 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
|
| 13 |
+
config: {}
|
| 14 |
+
2024-11-01 01:27:33,991 INFO MainThread:678553 [wandb_init.py:init():671] starting backend
|
| 15 |
+
2024-11-01 01:27:33,991 INFO MainThread:678553 [wandb_init.py:init():675] sending inform_init request
|
| 16 |
+
2024-11-01 01:27:33,992 INFO MainThread:678553 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
| 17 |
+
2024-11-01 01:27:33,992 INFO MainThread:678553 [wandb_init.py:init():688] backend started and connected
|
| 18 |
+
2024-11-01 01:27:33,996 INFO MainThread:678553 [wandb_init.py:init():783] updated telemetry
|
| 19 |
+
2024-11-01 01:27:34,020 INFO MainThread:678553 [wandb_init.py:init():816] communicating run to backend with 90.0 second timeout
|
| 20 |
+
2024-11-01 01:27:34,307 INFO MainThread:678553 [wandb_init.py:init():867] starting run threads in backend
|
| 21 |
+
2024-11-01 01:27:34,397 INFO MainThread:678553 [wandb_run.py:_console_start():2463] atexit reg
|
| 22 |
+
2024-11-01 01:27:34,397 INFO MainThread:678553 [wandb_run.py:_redirect():2311] redirect: wrap_raw
|
| 23 |
+
2024-11-01 01:27:34,397 INFO MainThread:678553 [wandb_run.py:_redirect():2376] Wrapping output streams.
|
| 24 |
+
2024-11-01 01:27:34,397 INFO MainThread:678553 [wandb_run.py:_redirect():2401] Redirects installed.
|
| 25 |
+
2024-11-01 01:27:34,399 INFO MainThread:678553 [wandb_init.py:init():911] run started, returning control to user process
|
| 26 |
+
2024-11-01 01:27:34,399 INFO MainThread:678553 [wandb_run.py:_config_callback():1390] config_cb None None {'perturbation': 'shuffle_nondeterministic', 'train_set': '10M', 'batch_size': 3, 'epoch': 6, 'seed': 0, 'lr': 5e-06}
|
wandb/run-20241101_093116-jo652wfc/files/output.log
ADDED
|
@@ -0,0 +1,13 @@
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|
| 1 |
+
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:18<00:00, 9.08s/it]
|
| 2 |
+
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 09:31:37,056] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 9 |
+
[2024-11-01 09:31:45,780] [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 |
+
Loading extension module cpu_adam...
|
| 13 |
+
Time to load cpu_adam op: 4.828465461730957 seconds
|
wandb/run-20241101_093116-jo652wfc/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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|
|
|
|
|
|
|
|
| 1 |
+
funcsigs==1.0.2
|
| 2 |
+
sentry-sdk==2.17.0
|
| 3 |
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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 |
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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 |
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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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hjson==3.1.0
|
| 22 |
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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 |
+
prompt-toolkit==3.0.30
|
| 31 |
+
parso==0.8.3
|
| 32 |
+
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 |
+
pydantic==2.9.2
|
| 38 |
+
click==8.1.7
|
| 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 |
+
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 |
+
stanza==1.9.2
|
| 51 |
+
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 |
+
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 |
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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 |
+
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
|
| 88 |
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|
| 89 |
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|
| 90 |
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jupyter_core==5.1.0
|
| 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 |
+
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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emoji==2.8.0
|
| 102 |
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tzdata==2023.3
|
| 103 |
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cycler==0.12.1
|
| 104 |
+
tornado==6.2
|
| 105 |
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backcall==0.2.0
|
| 106 |
+
plotnine==0.12.4
|
| 107 |
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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 |
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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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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 |
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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 |
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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 |
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torch==2.0.0
|
| 146 |
+
nvidia-nccl-cu11==2.14.3
|
| 147 |
+
xxhash==3.5.0
|
wandb/run-20241101_093116-jo652wfc/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 |
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"startedAt": "2024-11-01T13:31:16.509088Z",
|
| 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 |
+
"--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 |
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"git": {
|
| 20 |
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"remote": "git@hf.co:Yaning1001/Impossible_llm.git",
|
| 21 |
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"commit": "ed716cdcfcdea02b67f7ed0f3504c2b1c8b737c4"
|
| 22 |
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},
|
| 23 |
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"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 |
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"codePathLocal": "train_deep_wandb.py",
|
| 29 |
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"cpu_count": 32,
|
| 30 |
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"cpu_count_logical": 64,
|
| 31 |
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"gpu": "NVIDIA RTX A6000",
|
| 32 |
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"gpu_count": 8,
|
| 33 |
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"disk": {
|
| 34 |
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"/": {
|
| 35 |
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"total": "1888559353856",
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| 36 |
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"used": "1754716262400"
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| 37 |
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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 |
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"cudaCores": 10752,
|
| 51 |
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"architecture": "Ampere"
|
| 52 |
+
},
|
| 53 |
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{
|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"name": "NVIDIA RTX A6000",
|
| 61 |
+
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|
| 62 |
+
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|
| 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_093116-jo652wfc/logs/debug-internal.log
ADDED
|
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|
|
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|
|
| 1 |
+
{"time":"2024-11-01T09:31:16.511149419-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
|
| 2 |
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{"time":"2024-11-01T09:31:16.511162399-04:00","level":"INFO","msg":"created symlink","path":"/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_093116-jo652wfc/logs/debug-core.log"}
|
| 3 |
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{"time":"2024-11-01T09:31:16.618441589-04:00","level":"INFO","msg":"created new stream","id":"jo652wfc"}
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| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
+
{"time":"2024-11-01T09:31:16.832438843-04:00","level":"INFO","msg":"Starting system monitor"}
|
wandb/run-20241101_093116-jo652wfc/logs/debug.log
ADDED
|
@@ -0,0 +1,26 @@
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|
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|
| 1 |
+
2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
|
| 2 |
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2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_setup.py:_flush():79] Configure stats pid to 781949
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| 3 |
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2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
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| 4 |
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2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_setup.py:_flush():79] Loading settings from /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/settings
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| 5 |
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2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
|
| 6 |
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2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
|
| 7 |
+
2024-11-01 09:31:16,507 INFO MainThread:781949 [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 09:31:16,507 INFO MainThread:781949 [wandb_setup.py:_flush():79] Applying login settings: {}
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| 9 |
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|
| 10 |
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|
| 11 |
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2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_init.py:init():621] calling init triggers
|
| 12 |
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2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
|
| 13 |
+
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|
| 14 |
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2024-11-01 09:31:16,507 INFO MainThread:781949 [wandb_init.py:init():671] starting backend
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| 15 |
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|
| 16 |
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2024-11-01 09:31:16,508 INFO MainThread:781949 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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| 17 |
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|
| 18 |
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2024-11-01 09:31:16,511 INFO MainThread:781949 [wandb_init.py:init():783] updated telemetry
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| 19 |
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|
| 20 |
+
2024-11-01 09:31:16,829 INFO MainThread:781949 [wandb_init.py:init():867] starting run threads in backend
|
| 21 |
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2024-11-01 09:31:16,925 INFO MainThread:781949 [wandb_run.py:_console_start():2463] atexit reg
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| 25 |
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| 26 |
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2024-11-01 09:31:16,927 INFO MainThread:781949 [wandb_run.py:_config_callback():1390] config_cb None None {'perturbation': 'reverse_control', 'train_set': '10M', 'batch_size': 3, 'epoch': 7, 'seed': 0, 'lr': 5e-06}
|
wandb/run-20241101_093116-jo652wfc/run-jo652wfc.wandb
ADDED
|
Binary file (32.8 kB). View file
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|
|
wandb/run-20241101_093116-w11cgu13/files/output.log
ADDED
|
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|
| 1 |
+
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:18<00:00, 9.04s/it]
|
| 2 |
+
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 09:31:37,040] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 9 |
+
[2024-11-01 09:31:45,693] [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 |
+
Loading extension module cpu_adam...
|
| 13 |
+
Time to load cpu_adam op: 4.85305643081665 seconds
|
wandb/run-20241101_093116-w11cgu13/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 |
+
funcsigs==1.0.2
|
| 2 |
+
sentry-sdk==2.17.0
|
| 3 |
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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 |
+
nvidia-cudnn-cu11==8.5.0.96
|
| 8 |
+
deepspeed==0.15.2
|
| 9 |
+
data==0.4
|
| 10 |
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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 |
+
zipp==3.12.0
|
| 18 |
+
mypy-extensions==1.0.0
|
| 19 |
+
datasets==3.0.1
|
| 20 |
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joblib==1.3.2
|
| 21 |
+
hjson==3.1.0
|
| 22 |
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traitlets==5.7.1
|
| 23 |
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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 |
+
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 |
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nvidia-cufft-cu11==10.9.0.58
|
| 36 |
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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 |
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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 |
+
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 |
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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 |
+
pickleshare==0.7.5
|
| 58 |
+
peft==0.13.0
|
| 59 |
+
triton==2.0.0
|
| 60 |
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nvidia-cuda-runtime-cu11==11.7.99
|
| 61 |
+
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 |
+
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 |
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filelock==3.12.2
|
| 89 |
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pathspec==0.12.1
|
| 90 |
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jupyter_core==5.1.0
|
| 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 |
+
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 |
+
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 |
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latex==0.7.0
|
| 109 |
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wandb==0.18.5
|
| 110 |
+
setproctitle==1.3.3
|
| 111 |
+
threadpoolctl==3.2.0
|
| 112 |
+
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
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|
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pip==24.2
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|
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asttokens==2.2.1
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torch==2.0.0
|
| 146 |
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|
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xxhash==3.5.0
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wandb/run-20241101_093116-w11cgu13/files/wandb-metadata.json
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| 89 |
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|
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wandb/run-20241101_093116-w11cgu13/logs/debug-internal.log
ADDED
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{"time":"2024-11-01T09:31:16.515903771-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
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wandb/run-20241101_093116-w11cgu13/logs/debug.log
ADDED
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|
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2024-11-01 09:31:16,511 INFO MainThread:781946 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
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2024-11-01 09:31:16,511 INFO MainThread:781946 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
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2024-11-01 09:31:16,511 INFO MainThread:781946 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
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wandb/run-20241101_200535-lnp8ii96/files/output.log
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model-00001-of-00002.safetensors: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4.97G/4.97G [01:51<00:00, 42.0MB/s]
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model-00002-of-00002.safetensors: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.46G/1.46G [00:34<00:00, 42.3MB/s]
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Downloading shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [02:25<00:00, 72.94s/it]
|
| 4 |
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Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:05<00:00, 2.56s/it]
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generation_config.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 185/185 [00:00<00:00, 66.7kB/s]
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| 6 |
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tokenized_valid: Dataset({
|
| 7 |
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features: ['input_ids', 'attention_mask'],
|
| 8 |
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num_rows: 600
|
| 9 |
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})
|
| 10 |
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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
|
| 11 |
+
warnings.warn(
|
| 12 |
+
[2024-11-01 20:08:09,443] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 13 |
+
[2024-11-01 20:08:19,367] [INFO] [comm.py:652:init_distributed] cdb=None
|
| 14 |
+
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
|
| 15 |
+
Using /home/chunhui/.cache/torch_extensions/py39_cu117 as PyTorch extensions root...
|
| 16 |
+
Loading extension module cpu_adam...
|
| 17 |
+
Time to load cpu_adam op: 5.52386474609375 seconds
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wandb/run-20241101_200535-lnp8ii96/files/requirements.txt
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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 |
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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 |
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stack-data==0.6.0
|
| 24 |
+
transformers==4.45.1
|
| 25 |
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sympy==1.11.1
|
| 26 |
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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 |
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prompt-toolkit==3.0.30
|
| 31 |
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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 |
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nest-asyncio==1.5.6
|
| 40 |
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gmpy2==2.1.0
|
| 41 |
+
matplotlib==3.8.2
|
| 42 |
+
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 |
+
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 |
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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
|
| 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 |
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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 |
+
wcwidth==0.2.5
|
| 87 |
+
idna==3.6
|
| 88 |
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filelock==3.12.2
|
| 89 |
+
pathspec==0.12.1
|
| 90 |
+
jupyter_core==5.1.0
|
| 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 |
+
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 |
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threadpoolctl==3.2.0
|
| 112 |
+
requests==2.32.3
|
| 113 |
+
pyparsing==3.1.1
|
| 114 |
+
smmap==5.0.1
|
| 115 |
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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 |
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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 |
+
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-lnp8ii96/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": "2024-11-02T00:05:35.623567Z",
|
| 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 |
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"cpu_count_logical": 64,
|
| 31 |
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"gpu": "NVIDIA RTX A6000",
|
| 32 |
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"gpu_count": 8,
|
| 33 |
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"disk": {
|
| 34 |
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"/": {
|
| 35 |
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"total": "1888559353856",
|
| 36 |
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"used": "1754801684480"
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| 37 |
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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 |
+
{
|
| 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-lnp8ii96/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2024-11-01T20:05:35.626320342-04:00","level":"INFO","msg":"using version","core version":"0.18.5"}
|
| 2 |
+
{"time":"2024-11-01T20:05:35.626341822-04:00","level":"INFO","msg":"created symlink","path":"/mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_200535-lnp8ii96/logs/debug-core.log"}
|
| 3 |
+
{"time":"2024-11-01T20:05:35.736138328-04:00","level":"INFO","msg":"created new stream","id":"lnp8ii96"}
|
| 4 |
+
{"time":"2024-11-01T20:05:35.736185149-04:00","level":"INFO","msg":"stream: started","id":"lnp8ii96"}
|
| 5 |
+
{"time":"2024-11-01T20:05:35.736261459-04:00","level":"INFO","msg":"sender: started","stream_id":"lnp8ii96"}
|
| 6 |
+
{"time":"2024-11-01T20:05:35.736245139-04:00","level":"INFO","msg":"writer: Do: started","stream_id":{"value":"lnp8ii96"}}
|
| 7 |
+
{"time":"2024-11-01T20:05:35.73631463-04:00","level":"INFO","msg":"handler: started","stream_id":{"value":"lnp8ii96"}}
|
| 8 |
+
{"time":"2024-11-01T20:05:35.90118916-04:00","level":"INFO","msg":"Starting system monitor"}
|
wandb/run-20241101_200535-lnp8ii96/logs/debug.log
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2024-11-01 20:05:35,620 INFO MainThread:871229 [wandb_setup.py:_flush():79] Current SDK version is 0.18.5
|
| 2 |
+
2024-11-01 20:05:35,620 INFO MainThread:871229 [wandb_setup.py:_flush():79] Configure stats pid to 871229
|
| 3 |
+
2024-11-01 20:05:35,620 INFO MainThread:871229 [wandb_setup.py:_flush():79] Loading settings from /home/chunhui/.config/wandb/settings
|
| 4 |
+
2024-11-01 20:05:35,620 INFO MainThread:871229 [wandb_setup.py:_flush():79] Loading settings from /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/settings
|
| 5 |
+
2024-11-01 20:05:35,620 INFO MainThread:871229 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
|
| 6 |
+
2024-11-01 20:05:35,620 INFO MainThread:871229 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
|
| 7 |
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2024-11-01 20:05:35,620 INFO MainThread:871229 [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 20:05:35,620 INFO MainThread:871229 [wandb_setup.py:_flush():79] Applying login settings: {}
|
| 9 |
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2024-11-01 20:05:35,620 INFO MainThread:871229 [wandb_init.py:_log_setup():534] Logging user logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_200535-lnp8ii96/logs/debug.log
|
| 10 |
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2024-11-01 20:05:35,620 INFO MainThread:871229 [wandb_init.py:_log_setup():535] Logging internal logs to /mnt/ssd3/chunhui/yaning/project/impossible_llm/train/wandb/run-20241101_200535-lnp8ii96/logs/debug-internal.log
|
| 11 |
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2024-11-01 20:05:35,621 INFO MainThread:871229 [wandb_init.py:init():621] calling init triggers
|
| 12 |
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2024-11-01 20:05:35,621 INFO MainThread:871229 [wandb_init.py:init():628] wandb.init called with sweep_config: {}
|
| 13 |
+
config: {}
|
| 14 |
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2024-11-01 20:05:35,621 INFO MainThread:871229 [wandb_init.py:init():671] starting backend
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| 15 |
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2024-11-01 20:05:35,621 INFO MainThread:871229 [wandb_init.py:init():675] sending inform_init request
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| 16 |
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2024-11-01 20:05:35,622 INFO MainThread:871229 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
| 17 |
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2024-11-01 20:05:35,623 INFO MainThread:871229 [wandb_init.py:init():688] backend started and connected
|
| 18 |
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2024-11-01 20:05:35,626 INFO MainThread:871229 [wandb_init.py:init():783] updated telemetry
|
| 19 |
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2024-11-01 20:05:35,646 INFO MainThread:871229 [wandb_init.py:init():816] communicating run to backend with 90.0 second timeout
|
| 20 |
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2024-11-01 20:05:35,897 INFO MainThread:871229 [wandb_init.py:init():867] starting run threads in backend
|
| 21 |
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2024-11-01 20:05:35,987 INFO MainThread:871229 [wandb_run.py:_console_start():2463] atexit reg
|
| 22 |
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2024-11-01 20:05:35,987 INFO MainThread:871229 [wandb_run.py:_redirect():2311] redirect: wrap_raw
|
| 23 |
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2024-11-01 20:05:35,987 INFO MainThread:871229 [wandb_run.py:_redirect():2376] Wrapping output streams.
|
| 24 |
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2024-11-01 20:05:35,987 INFO MainThread:871229 [wandb_run.py:_redirect():2401] Redirects installed.
|
| 25 |
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2024-11-01 20:05:35,989 INFO MainThread:871229 [wandb_init.py:init():911] run started, returning control to user process
|
| 26 |
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2024-11-01 20:05:35,989 INFO MainThread:871229 [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_200535-xloij0da/run-xloij0da.wandb
ADDED
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 131072
|
wandb/run-20241105_155905-adxztc74/files/config.yaml
ADDED
|
@@ -0,0 +1,49 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.18.5
|
| 4 |
+
m: []
|
| 5 |
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python_version: 3.9.19
|
| 6 |
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t:
|
| 7 |
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"1":
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
+
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|
| 12 |
+
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|
| 13 |
+
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|
| 14 |
+
- 55
|
| 15 |
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|
| 16 |
+
- 98
|
| 17 |
+
"2":
|
| 18 |
+
- 1
|
| 19 |
+
- 5
|
| 20 |
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|
| 21 |
+
- 49
|
| 22 |
+
- 51
|
| 23 |
+
- 53
|
| 24 |
+
- 55
|
| 25 |
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- 71
|
| 26 |
+
- 98
|
| 27 |
+
"3":
|
| 28 |
+
- 13
|
| 29 |
+
- 23
|
| 30 |
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- 55
|
| 31 |
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"4": 3.9.19
|
| 32 |
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|
| 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_155905-adxztc74/files/output.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
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'
|
wandb/run-20241105_155905-adxztc74/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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|
|
|
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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 |
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sentry-sdk==2.17.0
|
| 3 |
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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 |
+
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 |
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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 |
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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 |
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filelock==3.12.2
|
| 89 |
+
pathspec==0.12.1
|
| 90 |
+
jupyter_core==5.1.0
|
| 91 |
+
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 |
+
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 |
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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 |
+
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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patsy==0.5.3
|
| 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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MarkupSafe==2.1.2
|
| 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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jedi==0.18.2
|
| 132 |
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pydantic_core==2.23.4
|
| 133 |
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tempdir==0.7.1
|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
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|
| 140 |
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|
| 143 |
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|
| 146 |
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|
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value: 3
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wandb/run-20241105_155954-daaq0lj0/files/output.log
ADDED
|
@@ -0,0 +1,19 @@
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|
| 1 |
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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'
|