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November 29, 2024 03:18
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Train GPT2 4090
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| Running pytorch 2.6.0.dev20241126+cu124 compiled for CUDA 12.4 | |
| nvidia-smi: | |
| Fri Nov 29 00:54:16 2024 | |
| +-----------------------------------------------------------------------------------------+ | |
| | NVIDIA-SMI 550.76 Driver Version: 550.76 CUDA Version: 12.4 | | |
| |-----------------------------------------+------------------------+----------------------+ | |
| | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | |
| | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | |
| | | | MIG M. | | |
| |=========================================+========================+======================| | |
| | 0 NVIDIA GeForce RTX 4090 On | 00000000:61:00.0 Off | Off | | |
| | 0% 31C P2 39W / 450W | 2339MiB / 24564MiB | 15% Default | | |
| | | | N/A | | |
| +-----------------------------------------+------------------------+----------------------+ | |
| +-----------------------------------------------------------------------------------------+ | |
| | Processes: | | |
| | GPU GI CI PID Type Process name GPU Memory | | |
| | ID ID Usage | | |
| |=========================================================================================| | |
| +-----------------------------------------------------------------------------------------+ | |
| ==================================================================================================== | |
| Training DataLoader: total number of tokens: 1000000000 across 10 files | |
| Validation DataLoader: total number of tokens: 100000000 across 1 files | |
| ==================================================================================================== | |
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| peak memory consumption: 20770 MiB |
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