mirror of
https://github.com/Vision-CAIR/MiniGPT-4.git
synced 2025-04-05 10:30:45 +00:00
remove wandb logs
This commit is contained in:
junchen14
parent
ba636c699c
commit
db44bb36e1
@ -1 +0,0 @@
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run-20231023_091030-25yuqsbo/logs/debug-internal.log
|
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@ -1 +0,0 @@
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run-20231023_091030-25yuqsbo/logs/debug.log
|
||||
@ -1 +0,0 @@
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run-20231023_091030-25yuqsbo
|
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@ -1,297 +0,0 @@
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name: eye
|
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channels:
|
||||
- pytorch
|
||||
- defaults
|
||||
dependencies:
|
||||
- _libgcc_mutex=0.1=main
|
||||
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|
||||
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|
||||
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|
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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||||
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|
||||
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|
||||
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|
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|
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|
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
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|
||||
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|
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||||
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||||
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|
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|
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
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|
||||
prefix: /home/chenj0g/anaconda3/envs/eye
|
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@ -1,38 +0,0 @@
|
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wandb_version: 1
|
||||
|
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_wandb:
|
||||
desc: null
|
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value:
|
||||
python_version: 3.9.16
|
||||
cli_version: 0.14.2
|
||||
framework: huggingface
|
||||
huggingface_version: 4.31.0
|
||||
is_jupyter_run: false
|
||||
is_kaggle_kernel: false
|
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start_time: 1698040478.151963
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t:
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1:
|
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- 1
|
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- 11
|
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- 41
|
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- 49
|
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- 55
|
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- 63
|
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- 71
|
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2:
|
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- 1
|
||||
- 11
|
||||
- 41
|
||||
- 49
|
||||
- 55
|
||||
- 63
|
||||
- 71
|
||||
3:
|
||||
- 1
|
||||
- 13
|
||||
- 23
|
||||
4: 3.9.16
|
||||
5: 0.14.2
|
||||
6: 4.31.0
|
||||
8:
|
||||
- 5
|
||||
@ -1,177 +0,0 @@
|
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|
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2023-10-23 08:54:52,781 [INFO] Start training
|
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batch sizes [[2]]
|
||||
module.llama_model.base_model.model.model.layers.0.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.0.self_attn.q_proj.lora_B.weight
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|
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module.llama_model.base_model.model.model.layers.1.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.1.self_attn.q_proj.lora_B.weight
|
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|
||||
module.llama_model.base_model.model.model.layers.1.self_attn.v_proj.lora_B.weight
|
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|
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|
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|
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module.llama_model.base_model.model.model.layers.6.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.6.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.6.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.7.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.7.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.7.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.7.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.8.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.8.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.8.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.8.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.9.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.9.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.9.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.9.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.10.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.10.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.10.self_attn.v_proj.lora_A.weight
|
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module.llama_model.base_model.model.model.layers.10.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.11.self_attn.q_proj.lora_A.weight
|
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module.llama_model.base_model.model.model.layers.11.self_attn.q_proj.lora_B.weight
|
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module.llama_model.base_model.model.model.layers.11.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.11.self_attn.v_proj.lora_B.weight
|
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module.llama_model.base_model.model.model.layers.12.self_attn.q_proj.lora_A.weight
|
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module.llama_model.base_model.model.model.layers.12.self_attn.q_proj.lora_B.weight
|
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module.llama_model.base_model.model.model.layers.12.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.12.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.13.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.13.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.13.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.13.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.14.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.14.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.14.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.14.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.15.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.15.self_attn.q_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.15.self_attn.v_proj.lora_A.weight
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module.llama_model.base_model.model.model.layers.15.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.16.self_attn.q_proj.lora_A.weight
|
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module.llama_model.base_model.model.model.layers.16.self_attn.q_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.16.self_attn.v_proj.lora_A.weight
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module.llama_model.base_model.model.model.layers.16.self_attn.v_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.17.self_attn.q_proj.lora_A.weight
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module.llama_model.base_model.model.model.layers.17.self_attn.q_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.17.self_attn.v_proj.lora_A.weight
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module.llama_model.base_model.model.model.layers.17.self_attn.v_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.18.self_attn.q_proj.lora_A.weight
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module.llama_model.base_model.model.model.layers.18.self_attn.q_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.18.self_attn.v_proj.lora_A.weight
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module.llama_model.base_model.model.model.layers.18.self_attn.v_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.19.self_attn.q_proj.lora_A.weight
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module.llama_model.base_model.model.model.layers.19.self_attn.q_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.19.self_attn.v_proj.lora_A.weight
|
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module.llama_model.base_model.model.model.layers.19.self_attn.v_proj.lora_B.weight
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module.llama_model.base_model.model.model.layers.20.self_attn.q_proj.lora_A.weight
|
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module.llama_model.base_model.model.model.layers.20.self_attn.q_proj.lora_B.weight
|
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module.llama_model.base_model.model.model.layers.20.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.20.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.21.self_attn.q_proj.lora_A.weight
|
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module.llama_model.base_model.model.model.layers.21.self_attn.q_proj.lora_B.weight
|
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module.llama_model.base_model.model.model.layers.21.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.21.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.22.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.22.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.22.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.22.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.23.self_attn.q_proj.lora_A.weight
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module.llama_model.base_model.model.model.layers.23.self_attn.q_proj.lora_B.weight
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||||
module.llama_model.base_model.model.model.layers.23.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.23.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.24.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.24.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.24.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.24.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.25.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.25.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.25.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.25.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.26.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.26.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.26.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.26.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.27.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.27.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.27.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.27.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.28.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.28.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.28.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.28.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.29.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.29.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.29.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.29.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.30.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.30.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.30.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.30.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.31.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.31.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.31.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.31.self_attn.v_proj.lora_B.weight
|
||||
module.llama_proj.weight
|
||||
module.llama_proj.bias
|
||||
2023-10-23 08:54:54,750 [INFO] dataset_ratios not specified, datasets will be concatenated (map-style datasets) or chained (webdataset.DataPipeline).
|
||||
2023-10-23 08:54:54,750 [INFO] Loaded 12171 records for train split from the dataset.
|
||||
2023-10-23 08:54:54,768 [INFO] number of trainable parameters: 56627200
|
||||
2023-10-23 08:54:54,769 [INFO] Start training epoch 0, 1000 iters per inner epoch.
|
||||
Train: data epoch: [0] [ 0/1000] eta: 0:44:54 lr: 0.000001 loss: 1.3049 time: 2.6941 data: 0.0000 max mem: 33053
|
||||
/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
|
||||
warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
|
||||
Train: data epoch: [0] [ 50/1000] eta: 0:07:57 lr: 0.000001 loss: 1.2327 time: 0.4510 data: 0.0000 max mem: 38294
|
||||
Train: data epoch: [0] [ 100/1000] eta: 0:07:10 lr: 0.000002 loss: 1.1049 time: 0.4456 data: 0.0000 max mem: 39573
|
||||
Train: data epoch: [0] [ 150/1000] eta: 0:06:42 lr: 0.000002 loss: 1.2879 time: 0.4630 data: 0.0000 max mem: 40208
|
||||
Train: data epoch: [0] [ 200/1000] eta: 0:06:18 lr: 0.000003 loss: 1.0077 time: 0.4521 data: 0.0000 max mem: 40208
|
||||
Train: data epoch: [0] [ 250/1000] eta: 0:05:52 lr: 0.000003 loss: 1.4790 time: 0.4627 data: 0.0000 max mem: 41447
|
||||
Train: data epoch: [0] [ 300/1000] eta: 0:05:27 lr: 0.000004 loss: 1.2864 time: 0.4646 data: 0.0000 max mem: 41447
|
||||
Train: data epoch: [0] [ 350/1000] eta: 0:05:02 lr: 0.000004 loss: 1.1261 time: 0.4556 data: 0.0000 max mem: 41447
|
||||
Traceback (most recent call last):
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py", line 117, in <module>
|
||||
main()
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py", line 113, in main
|
||||
runner.train()
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/runners/runner_base.py", line 377, in train
|
||||
train_stats = self.train_epoch(cur_epoch)
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/runners/runner_base.py", line 437, in train_epoch
|
||||
return self.task.train_epoch(
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/tasks/base_task.py", line 116, in train_epoch
|
||||
return self._train_inner_loop(
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/tasks/base_task.py", line 221, in _train_inner_loop
|
||||
loss = self.train_step(model=model, samples=samples)
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/tasks/base_task.py", line 70, in train_step
|
||||
loss = model(samples)["loss"]
|
||||
File "/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
|
||||
return forward_call(*args, **kwargs)
|
||||
File "/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/nn/parallel/distributed.py", line 1156, in forward
|
||||
output = self._run_ddp_forward(*inputs, **kwargs)
|
||||
File "/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/nn/parallel/distributed.py", line 1110, in _run_ddp_forward
|
||||
return module_to_run(*inputs[0], **kwargs[0]) # type: ignore[index]
|
||||
File "/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
|
||||
return forward_call(*args, **kwargs)
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/models/minigpt_base.py", line 279, in forward
|
||||
self.preparing_embedding(samples)
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/models/minigpt_base.py", line 215, in preparing_embedding
|
||||
img_embeds, img_atts = self.encode_img(samples["image"])
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/models/minigpt_v2.py", line 88, in encode_img
|
||||
atts_llama = torch.ones(inputs_llama.size()[:-1], dtype=torch.long).to(image.device)
|
||||
KeyboardInterrupt
|
||||
@ -1,246 +0,0 @@
|
||||
accelerate==0.20.3
|
||||
aiofiles==23.2.1
|
||||
aiohttp==3.8.4
|
||||
aiosignal==1.3.1
|
||||
altair==5.1.2
|
||||
antlr4-python3-runtime==4.9.3
|
||||
anyio==3.6.2
|
||||
appdirs==1.4.4
|
||||
argon2-cffi-bindings==21.2.0
|
||||
argon2-cffi==21.3.0
|
||||
arrow==1.2.3
|
||||
asttokens==2.2.1
|
||||
async-timeout==4.0.2
|
||||
attrs==22.2.0
|
||||
backcall==0.2.0
|
||||
beautifulsoup4==4.12.2
|
||||
bitsandbytes==0.37.0
|
||||
bleach==6.0.0
|
||||
blis==0.7.9
|
||||
braceexpand==0.1.7
|
||||
brotlipy==0.7.0
|
||||
catalogue==2.0.8
|
||||
cchardet==2.1.7
|
||||
certifi==2022.12.7
|
||||
cffi==1.15.1
|
||||
chardet==5.1.0
|
||||
charset-normalizer==2.0.4
|
||||
click==8.1.3
|
||||
cloudpickle==2.2.1
|
||||
cmake==3.26.1
|
||||
comm==0.1.3
|
||||
confection==0.0.4
|
||||
contourpy==1.0.7
|
||||
cryptography==39.0.1
|
||||
cycler==0.11.0
|
||||
cymem==2.0.7
|
||||
datasets==2.13.1
|
||||
debugpy==1.6.7
|
||||
decorator==5.1.1
|
||||
decord==0.6.0
|
||||
defusedxml==0.7.1
|
||||
dill==0.3.6
|
||||
docker-pycreds==0.4.0
|
||||
einops==0.6.0
|
||||
entrypoints==0.4
|
||||
executing==1.2.0
|
||||
fairscale==0.4.13
|
||||
fastapi==0.95.0
|
||||
fastjsonschema==2.16.3
|
||||
ffmpy==0.3.1
|
||||
filelock==3.9.0
|
||||
fire==0.5.0
|
||||
flit-core==3.8.0
|
||||
fonttools==4.38.0
|
||||
fqdn==1.5.1
|
||||
frozenlist==1.3.3
|
||||
fsspec==2023.9.2
|
||||
gitdb==4.0.10
|
||||
gitpython==3.1.31
|
||||
gradio-client==0.6.0
|
||||
gradio==3.24.1
|
||||
h11==0.14.0
|
||||
httpcore==0.18.0
|
||||
httpx==0.25.0
|
||||
huggingface-hub==0.18.0
|
||||
idna==3.4
|
||||
imageio==2.31.1
|
||||
importlib-metadata==6.2.0
|
||||
importlib-resources==5.12.0
|
||||
iopath==0.1.10
|
||||
ipykernel==6.22.0
|
||||
ipython-genutils==0.2.0
|
||||
ipython==8.12.0
|
||||
isoduration==20.11.0
|
||||
jedi==0.18.2
|
||||
jinja2==3.1.2
|
||||
joblib==1.2.0
|
||||
jsonpointer==2.3
|
||||
jsonschema==4.17.3
|
||||
jupyter-client==8.1.0
|
||||
jupyter-core==5.3.0
|
||||
jupyter-events==0.6.3
|
||||
jupyter-server-terminals==0.4.4
|
||||
jupyter-server==2.5.0
|
||||
jupyterlab-pygments==0.2.2
|
||||
kiwisolver==1.4.4
|
||||
langcodes==3.3.0
|
||||
lazy-loader==0.2
|
||||
linkify-it-py==2.0.2
|
||||
lit==16.0.0
|
||||
llvmlite==0.39.1
|
||||
loralib==0.1.1
|
||||
markdown-it-py==2.2.0
|
||||
markupsafe==2.1.2
|
||||
matplotlib-inline==0.1.6
|
||||
matplotlib==3.7.0
|
||||
mdit-py-plugins==0.3.3
|
||||
mdurl==0.1.2
|
||||
mistune==2.0.5
|
||||
mkl-fft==1.3.1
|
||||
mkl-random==1.2.2
|
||||
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@ -1 +0,0 @@
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{"epoch": 0, "loss": 1.1899254322052002, "_timestamp": 1698040660.278502, "_runtime": 182.1265389919281, "_step": 355, "_wandb": {"runtime": 180}}
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File diff suppressed because it is too large
Load Diff
@ -1,27 +0,0 @@
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||||
2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_setup.py:_flush():76] Configure stats pid to 49300
|
||||
2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_setup.py:_flush():76] Loading settings from /home/chenj0g/.config/wandb/settings
|
||||
2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_setup.py:_flush():76] Loading settings from /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/settings
|
||||
2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
||||
2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'train.py', 'program': '/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py'}
|
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2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_init.py:_log_setup():507] Logging user logs to /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/run-20231023_085438-bxwpu63q/logs/debug.log
|
||||
2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_init.py:_log_setup():508] Logging internal logs to /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/run-20231023_085438-bxwpu63q/logs/debug-internal.log
|
||||
2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_init.py:init():547] calling init triggers
|
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2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_init.py:init():554] wandb.init called with sweep_config: {}
|
||||
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|
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2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_init.py:init():595] starting backend
|
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2023-10-23 08:54:38,127 INFO MainThread:49300 [wandb_init.py:init():599] setting up manager
|
||||
2023-10-23 08:54:38,129 INFO MainThread:49300 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2023-10-23 08:54:38,151 INFO MainThread:49300 [wandb_init.py:init():605] backend started and connected
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2023-10-23 08:54:38,153 INFO MainThread:49300 [wandb_init.py:init():695] updated telemetry
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2023-10-23 08:54:38,561 INFO MainThread:49300 [wandb_init.py:init():732] communicating run to backend with 60.0 second timeout
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2023-10-23 08:54:39,256 INFO MainThread:49300 [wandb_run.py:_on_init():2176] communicating current version
|
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2023-10-23 08:54:39,594 INFO MainThread:49300 [wandb_run.py:_on_init():2185] got version response upgrade_message: "wandb version 0.15.12 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
|
||||
|
||||
2023-10-23 08:54:39,594 INFO MainThread:49300 [wandb_init.py:init():782] starting run threads in backend
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2023-10-23 08:54:52,772 INFO MainThread:49300 [wandb_run.py:_console_start():2157] atexit reg
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2023-10-23 08:54:52,772 INFO MainThread:49300 [wandb_run.py:_redirect():2012] redirect: SettingsConsole.WRAP_RAW
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2023-10-23 08:54:52,772 INFO MainThread:49300 [wandb_run.py:_redirect():2102] Redirects installed.
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2023-10-23 08:54:52,773 INFO MainThread:49300 [wandb_init.py:init():824] run started, returning control to user process
|
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@ -1,38 +0,0 @@
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|
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@ -1,164 +0,0 @@
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||||
|
||||
2023-10-23 09:01:04,885 [INFO] Start training
|
||||
batch sizes [[2]]
|
||||
module.llama_model.base_model.model.model.layers.0.self_attn.q_proj.lora_A.weight
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
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|
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|
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|
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|
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|
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module.llama_model.base_model.model.model.layers.27.self_attn.q_proj.lora_A.weight
|
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|
||||
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|
||||
module.llama_model.base_model.model.model.layers.27.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.28.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.28.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.28.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.28.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.29.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.29.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.29.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.29.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.30.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.30.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.30.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.30.self_attn.v_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.31.self_attn.q_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.31.self_attn.q_proj.lora_B.weight
|
||||
module.llama_model.base_model.model.model.layers.31.self_attn.v_proj.lora_A.weight
|
||||
module.llama_model.base_model.model.model.layers.31.self_attn.v_proj.lora_B.weight
|
||||
module.llama_proj.weight
|
||||
module.llama_proj.bias
|
||||
2023-10-23 09:01:07,002 [INFO] dataset_ratios not specified, datasets will be concatenated (map-style datasets) or chained (webdataset.DataPipeline).
|
||||
2023-10-23 09:01:07,002 [INFO] Loaded 12171 records for train split from the dataset.
|
||||
2023-10-23 09:01:07,020 [INFO] number of trainable parameters: 56627200
|
||||
2023-10-23 09:01:07,021 [INFO] Start training epoch 0, 1000 iters per inner epoch.
|
||||
Train: data epoch: [0] [ 0/1000] eta: 0:45:28 lr: 0.000001 loss: 1.3049 time: 2.7288 data: 0.0000 max mem: 33055
|
||||
/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
|
||||
warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
|
||||
Train: data epoch: [0] [ 50/1000] eta: 0:07:58 lr: 0.000001 loss: 1.2327 time: 0.4508 data: 0.0000 max mem: 38295
|
||||
Train: data epoch: [0] [ 100/1000] eta: 0:07:10 lr: 0.000002 loss: 1.1049 time: 0.4457 data: 0.0000 max mem: 39575
|
||||
Train: data epoch: [0] [ 150/1000] eta: 0:06:42 lr: 0.000002 loss: 1.2879 time: 0.4630 data: 0.0000 max mem: 40211
|
||||
Train: data epoch: [0] [ 200/1000] eta: 0:06:18 lr: 0.000003 loss: 1.0077 time: 0.4527 data: 0.0000 max mem: 40211
|
||||
Train: data epoch: [0] [ 250/1000] eta: 0:05:52 lr: 0.000003 loss: 1.4790 time: 0.4626 data: 0.0000 max mem: 41450
|
||||
Train: data epoch: [0] [ 300/1000] eta: 0:05:27 lr: 0.000004 loss: 1.2864 time: 0.4639 data: 0.0000 max mem: 41450
|
||||
Traceback (most recent call last):
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py", line 118, in <module>
|
||||
main()
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py", line 114, in main
|
||||
runner.train()
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/runners/runner_base.py", line 377, in train
|
||||
train_stats = self.train_epoch(cur_epoch)
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/runners/runner_base.py", line 437, in train_epoch
|
||||
return self.task.train_epoch(
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/tasks/base_task.py", line 116, in train_epoch
|
||||
return self._train_inner_loop(
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/tasks/base_task.py", line 225, in _train_inner_loop
|
||||
scaler.scale(loss).backward()
|
||||
File "/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/_tensor.py", line 487, in backward
|
||||
torch.autograd.backward(
|
||||
File "/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/autograd/__init__.py", line 200, in backward
|
||||
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
|
||||
KeyboardInterrupt
|
||||
@ -1,246 +0,0 @@
|
||||
accelerate==0.20.3
|
||||
aiofiles==23.2.1
|
||||
aiohttp==3.8.4
|
||||
aiosignal==1.3.1
|
||||
altair==5.1.2
|
||||
antlr4-python3-runtime==4.9.3
|
||||
anyio==3.6.2
|
||||
appdirs==1.4.4
|
||||
argon2-cffi-bindings==21.2.0
|
||||
argon2-cffi==21.3.0
|
||||
arrow==1.2.3
|
||||
asttokens==2.2.1
|
||||
async-timeout==4.0.2
|
||||
attrs==22.2.0
|
||||
backcall==0.2.0
|
||||
beautifulsoup4==4.12.2
|
||||
bitsandbytes==0.37.0
|
||||
bleach==6.0.0
|
||||
blis==0.7.9
|
||||
braceexpand==0.1.7
|
||||
brotlipy==0.7.0
|
||||
catalogue==2.0.8
|
||||
cchardet==2.1.7
|
||||
certifi==2022.12.7
|
||||
cffi==1.15.1
|
||||
chardet==5.1.0
|
||||
charset-normalizer==2.0.4
|
||||
click==8.1.3
|
||||
cloudpickle==2.2.1
|
||||
cmake==3.26.1
|
||||
comm==0.1.3
|
||||
confection==0.0.4
|
||||
contourpy==1.0.7
|
||||
cryptography==39.0.1
|
||||
cycler==0.11.0
|
||||
cymem==2.0.7
|
||||
datasets==2.13.1
|
||||
debugpy==1.6.7
|
||||
decorator==5.1.1
|
||||
decord==0.6.0
|
||||
defusedxml==0.7.1
|
||||
dill==0.3.6
|
||||
docker-pycreds==0.4.0
|
||||
einops==0.6.0
|
||||
entrypoints==0.4
|
||||
executing==1.2.0
|
||||
fairscale==0.4.13
|
||||
fastapi==0.95.0
|
||||
fastjsonschema==2.16.3
|
||||
ffmpy==0.3.1
|
||||
filelock==3.9.0
|
||||
fire==0.5.0
|
||||
flit-core==3.8.0
|
||||
fonttools==4.38.0
|
||||
fqdn==1.5.1
|
||||
frozenlist==1.3.3
|
||||
fsspec==2023.9.2
|
||||
gitdb==4.0.10
|
||||
gitpython==3.1.31
|
||||
gradio-client==0.6.0
|
||||
gradio==3.24.1
|
||||
h11==0.14.0
|
||||
httpcore==0.18.0
|
||||
httpx==0.25.0
|
||||
huggingface-hub==0.18.0
|
||||
idna==3.4
|
||||
imageio==2.31.1
|
||||
importlib-metadata==6.2.0
|
||||
importlib-resources==5.12.0
|
||||
iopath==0.1.10
|
||||
ipykernel==6.22.0
|
||||
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@ -1,374 +0,0 @@
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|
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{
|
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|
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|
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@ -1 +0,0 @@
|
||||
{"epoch": 0, "loss": 1.0476144552230835, "_timestamp": 1698041023.1460156, "_runtime": 165.02019357681274, "_step": 334, "_wandb": {"runtime": 164}}
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,26 +0,0 @@
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_setup.py:_flush():76] Configure stats pid to 51105
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_setup.py:_flush():76] Loading settings from /home/chenj0g/.config/wandb/settings
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_setup.py:_flush():76] Loading settings from /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/settings
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'train.py', 'program': '/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py'}
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_init.py:_log_setup():507] Logging user logs to /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/run-20231023_090058-141dzr9c/logs/debug.log
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_init.py:_log_setup():508] Logging internal logs to /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/run-20231023_090058-141dzr9c/logs/debug-internal.log
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_init.py:init():547] calling init triggers
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_init.py:init():554] wandb.init called with sweep_config: {}
|
||||
config: {}
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_init.py:init():595] starting backend
|
||||
2023-10-23 09:00:58,119 INFO MainThread:51105 [wandb_init.py:init():599] setting up manager
|
||||
2023-10-23 09:00:58,121 INFO MainThread:51105 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
||||
2023-10-23 09:00:58,125 INFO MainThread:51105 [wandb_init.py:init():605] backend started and connected
|
||||
2023-10-23 09:00:58,127 INFO MainThread:51105 [wandb_init.py:init():695] updated telemetry
|
||||
2023-10-23 09:00:58,534 INFO MainThread:51105 [wandb_init.py:init():732] communicating run to backend with 60.0 second timeout
|
||||
2023-10-23 09:00:59,118 INFO MainThread:51105 [wandb_run.py:_on_init():2176] communicating current version
|
||||
2023-10-23 09:00:59,434 INFO MainThread:51105 [wandb_run.py:_on_init():2185] got version response upgrade_message: "wandb version 0.15.12 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
|
||||
|
||||
2023-10-23 09:00:59,434 INFO MainThread:51105 [wandb_init.py:init():782] starting run threads in backend
|
||||
2023-10-23 09:01:04,878 INFO MainThread:51105 [wandb_run.py:_console_start():2157] atexit reg
|
||||
2023-10-23 09:01:04,878 INFO MainThread:51105 [wandb_run.py:_redirect():2012] redirect: SettingsConsole.WRAP_RAW
|
||||
2023-10-23 09:01:04,878 INFO MainThread:51105 [wandb_run.py:_redirect():2077] Wrapping output streams.
|
||||
2023-10-23 09:01:04,878 INFO MainThread:51105 [wandb_run.py:_redirect():2102] Redirects installed.
|
||||
2023-10-23 09:01:04,879 INFO MainThread:51105 [wandb_init.py:init():824] run started, returning control to user process
|
||||
2023-10-23 09:01:04,879 INFO MainThread:51105 [wandb_watch.py:watch():51] Watching
|
||||
Binary file not shown.
@ -1,297 +0,0 @@
|
||||
name: eye
|
||||
channels:
|
||||
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|
||||
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|
||||
dependencies:
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
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|
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|
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|
||||
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|
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|
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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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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|
||||
prefix: /home/chenj0g/anaconda3/envs/eye
|
||||
@ -1,38 +0,0 @@
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/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
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@ -1 +0,0 @@
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{"epoch": 0, "loss": 1.071101188659668, "_timestamp": 1698041570.1773224, "_runtime": 140.1417534351349, "_step": 258, "_wandb": {"runtime": 139}}
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File diff suppressed because it is too large
Load Diff
@ -1,26 +0,0 @@
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2023-10-23 09:10:30,028 INFO MainThread:53640 [wandb_setup.py:_flush():76] Configure stats pid to 53640
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2023-10-23 09:10:30,028 INFO MainThread:53640 [wandb_setup.py:_flush():76] Loading settings from /home/chenj0g/.config/wandb/settings
|
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2023-10-23 09:10:30,028 INFO MainThread:53640 [wandb_setup.py:_flush():76] Loading settings from /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/settings
|
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2023-10-23 09:10:30,028 INFO MainThread:53640 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
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2023-10-23 09:10:30,028 INFO MainThread:53640 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'train.py', 'program': '/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py'}
|
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2023-10-23 09:10:30,028 INFO MainThread:53640 [wandb_init.py:_log_setup():507] Logging user logs to /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/run-20231023_091029-txn4i28h/logs/debug.log
|
||||
2023-10-23 09:10:30,028 INFO MainThread:53640 [wandb_init.py:_log_setup():508] Logging internal logs to /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/run-20231023_091029-txn4i28h/logs/debug-internal.log
|
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2023-10-23 09:10:30,028 INFO MainThread:53640 [wandb_init.py:init():547] calling init triggers
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2023-10-23 09:10:30,029 INFO MainThread:53640 [wandb_init.py:init():554] wandb.init called with sweep_config: {}
|
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config: {}
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2023-10-23 09:10:30,029 INFO MainThread:53640 [wandb_init.py:init():595] starting backend
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2023-10-23 09:10:30,029 INFO MainThread:53640 [wandb_init.py:init():599] setting up manager
|
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2023-10-23 09:10:30,030 INFO MainThread:53640 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2023-10-23 09:10:30,035 INFO MainThread:53640 [wandb_init.py:init():605] backend started and connected
|
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2023-10-23 09:10:30,446 INFO MainThread:53640 [wandb_init.py:init():732] communicating run to backend with 60.0 second timeout
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2023-10-23 09:10:31,357 INFO MainThread:53640 [wandb_run.py:_on_init():2185] got version response upgrade_message: "wandb version 0.15.12 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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|
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2023-10-23 09:10:31,357 INFO MainThread:53640 [wandb_init.py:init():782] starting run threads in backend
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2023-10-23 09:10:37,065 INFO MainThread:53640 [wandb_run.py:_console_start():2157] atexit reg
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|
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|
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|
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|
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
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||||
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|
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|
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|
||||
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||||
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|
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||||
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|
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|
||||
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|
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|
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|
||||
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|
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|
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|
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|
||||
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|
||||
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|
||||
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|
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||||
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||||
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|
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prefix: /home/chenj0g/anaconda3/envs/eye
|
||||
@ -1,38 +0,0 @@
|
||||
wandb_version: 1
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|
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|
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desc: null
|
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value:
|
||||
python_version: 3.9.16
|
||||
cli_version: 0.14.2
|
||||
framework: huggingface
|
||||
huggingface_version: 4.31.0
|
||||
is_jupyter_run: false
|
||||
is_kaggle_kernel: false
|
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start_time: 1698041430.036499
|
||||
t:
|
||||
1:
|
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|
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2:
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8:
|
||||
- 5
|
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@ -1,161 +0,0 @@
|
||||
|
||||
2023-10-23 09:10:36,980 [INFO] Start training
|
||||
batch sizes [[2]]
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2023-10-23 09:10:39,273 [INFO] dataset_ratios not specified, datasets will be concatenated (map-style datasets) or chained (webdataset.DataPipeline).
|
||||
2023-10-23 09:10:39,273 [INFO] Loaded 12171 records for train split from the dataset.
|
||||
2023-10-23 09:10:39,291 [INFO] number of trainable parameters: 56627200
|
||||
2023-10-23 09:10:39,292 [INFO] Start training epoch 0, 1000 iters per inner epoch.
|
||||
Train: data epoch: [0] [ 0/1000] eta: 0:54:33 lr: 0.000001 loss: 1.4162 time: 3.2736 data: 0.0000 max mem: 33043
|
||||
/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
|
||||
warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
|
||||
Train: data epoch: [0] [ 50/1000] eta: 0:08:41 lr: 0.000001 loss: 1.4426 time: 0.4963 data: 0.0000 max mem: 38128
|
||||
Train: data epoch: [0] [ 100/1000] eta: 0:07:50 lr: 0.000002 loss: 1.3406 time: 0.4881 data: 0.0000 max mem: 40846
|
||||
Train: data epoch: [0] [ 150/1000] eta: 0:07:14 lr: 0.000002 loss: 1.5900 time: 0.4890 data: 0.0000 max mem: 41228
|
||||
Train: data epoch: [0] [ 200/1000] eta: 0:06:45 lr: 0.000003 loss: 1.6308 time: 0.5138 data: 0.0000 max mem: 41228
|
||||
Train: data epoch: [0] [ 250/1000] eta: 0:06:18 lr: 0.000003 loss: 1.4190 time: 0.5009 data: 0.0000 max mem: 41228
|
||||
Traceback (most recent call last):
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py", line 113, in <module>
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py", line 109, in main
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/runners/runner_base.py", line 377, in train
|
||||
train_stats = self.train_epoch(cur_epoch)
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/runners/runner_base.py", line 437, in train_epoch
|
||||
return self.task.train_epoch(
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/tasks/base_task.py", line 116, in train_epoch
|
||||
return self._train_inner_loop(
|
||||
File "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/minigpt4/tasks/base_task.py", line 225, in _train_inner_loop
|
||||
scaler.scale(loss).backward()
|
||||
File "/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/_tensor.py", line 487, in backward
|
||||
torch.autograd.backward(
|
||||
File "/home/chenj0g/anaconda3/envs/eye/lib/python3.9/site-packages/torch/autograd/__init__.py", line 200, in backward
|
||||
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
|
||||
KeyboardInterrupt
|
||||
@ -1,246 +0,0 @@
|
||||
accelerate==0.20.3
|
||||
aiofiles==23.2.1
|
||||
aiohttp==3.8.4
|
||||
aiosignal==1.3.1
|
||||
altair==5.1.2
|
||||
antlr4-python3-runtime==4.9.3
|
||||
anyio==3.6.2
|
||||
appdirs==1.4.4
|
||||
argon2-cffi-bindings==21.2.0
|
||||
argon2-cffi==21.3.0
|
||||
arrow==1.2.3
|
||||
asttokens==2.2.1
|
||||
async-timeout==4.0.2
|
||||
attrs==22.2.0
|
||||
backcall==0.2.0
|
||||
beautifulsoup4==4.12.2
|
||||
bitsandbytes==0.37.0
|
||||
bleach==6.0.0
|
||||
blis==0.7.9
|
||||
braceexpand==0.1.7
|
||||
brotlipy==0.7.0
|
||||
catalogue==2.0.8
|
||||
cchardet==2.1.7
|
||||
certifi==2022.12.7
|
||||
cffi==1.15.1
|
||||
chardet==5.1.0
|
||||
charset-normalizer==2.0.4
|
||||
click==8.1.3
|
||||
cloudpickle==2.2.1
|
||||
cmake==3.26.1
|
||||
comm==0.1.3
|
||||
confection==0.0.4
|
||||
contourpy==1.0.7
|
||||
cryptography==39.0.1
|
||||
cycler==0.11.0
|
||||
cymem==2.0.7
|
||||
datasets==2.13.1
|
||||
debugpy==1.6.7
|
||||
decorator==5.1.1
|
||||
decord==0.6.0
|
||||
defusedxml==0.7.1
|
||||
dill==0.3.6
|
||||
docker-pycreds==0.4.0
|
||||
einops==0.6.0
|
||||
entrypoints==0.4
|
||||
executing==1.2.0
|
||||
fairscale==0.4.13
|
||||
fastapi==0.95.0
|
||||
fastjsonschema==2.16.3
|
||||
ffmpy==0.3.1
|
||||
filelock==3.9.0
|
||||
fire==0.5.0
|
||||
flit-core==3.8.0
|
||||
fonttools==4.38.0
|
||||
fqdn==1.5.1
|
||||
frozenlist==1.3.3
|
||||
fsspec==2023.9.2
|
||||
gitdb==4.0.10
|
||||
gitpython==3.1.31
|
||||
gradio-client==0.6.0
|
||||
gradio==3.24.1
|
||||
h11==0.14.0
|
||||
httpcore==0.18.0
|
||||
httpx==0.25.0
|
||||
huggingface-hub==0.18.0
|
||||
idna==3.4
|
||||
imageio==2.31.1
|
||||
importlib-metadata==6.2.0
|
||||
importlib-resources==5.12.0
|
||||
iopath==0.1.10
|
||||
ipykernel==6.22.0
|
||||
ipython-genutils==0.2.0
|
||||
ipython==8.12.0
|
||||
isoduration==20.11.0
|
||||
jedi==0.18.2
|
||||
jinja2==3.1.2
|
||||
joblib==1.2.0
|
||||
jsonpointer==2.3
|
||||
jsonschema==4.17.3
|
||||
jupyter-client==8.1.0
|
||||
jupyter-core==5.3.0
|
||||
jupyter-events==0.6.3
|
||||
jupyter-server-terminals==0.4.4
|
||||
jupyter-server==2.5.0
|
||||
jupyterlab-pygments==0.2.2
|
||||
kiwisolver==1.4.4
|
||||
langcodes==3.3.0
|
||||
lazy-loader==0.2
|
||||
linkify-it-py==2.0.2
|
||||
lit==16.0.0
|
||||
llvmlite==0.39.1
|
||||
loralib==0.1.1
|
||||
markdown-it-py==2.2.0
|
||||
markupsafe==2.1.2
|
||||
matplotlib-inline==0.1.6
|
||||
matplotlib==3.7.0
|
||||
mdit-py-plugins==0.3.3
|
||||
mdurl==0.1.2
|
||||
mistune==2.0.5
|
||||
mkl-fft==1.3.1
|
||||
mkl-random==1.2.2
|
||||
mkl-service==2.4.0
|
||||
mpmath==1.3.0
|
||||
multidict==6.0.4
|
||||
multiprocess==0.70.14
|
||||
murmurhash==1.0.9
|
||||
nbclassic==0.5.5
|
||||
nbclient==0.7.3
|
||||
nbconvert==7.3.0
|
||||
nbformat==5.8.0
|
||||
nest-asyncio==1.5.6
|
||||
networkx==3.1
|
||||
nltk==3.8.1
|
||||
notebook-shim==0.2.2
|
||||
notebook==6.5.4
|
||||
numba==0.56.4
|
||||
numpy==1.23.5
|
||||
nvidia-cublas-cu11==11.10.3.66
|
||||
nvidia-cuda-cupti-cu11==11.7.101
|
||||
nvidia-cuda-nvrtc-cu11==11.7.99
|
||||
nvidia-cuda-runtime-cu11==11.7.99
|
||||
nvidia-cudnn-cu11==8.5.0.96
|
||||
nvidia-cufft-cu11==10.9.0.58
|
||||
nvidia-curand-cu11==10.2.10.91
|
||||
nvidia-cusolver-cu11==11.4.0.1
|
||||
nvidia-cusparse-cu11==11.7.4.91
|
||||
nvidia-nccl-cu11==2.14.3
|
||||
nvidia-nvtx-cu11==11.7.91
|
||||
omegaconf==2.3.0
|
||||
openai==0.27.0
|
||||
opencv-python==4.7.0.72
|
||||
orjson==3.9.8
|
||||
packaging==23.0
|
||||
pandas==2.0.0
|
||||
pandocfilters==1.5.0
|
||||
parso==0.8.3
|
||||
pathlib==1.0.1
|
||||
pathtools==0.1.2
|
||||
pathy==0.10.1
|
||||
peft==0.2.0
|
||||
pexpect==4.8.0
|
||||
pickleshare==0.7.5
|
||||
pillow==9.4.0
|
||||
pip==23.0.1
|
||||
platformdirs==3.2.0
|
||||
policies==0.4.2
|
||||
portalocker==2.7.0
|
||||
preshed==3.0.8
|
||||
progressbar2==4.2.0
|
||||
prometheus-client==0.16.0
|
||||
prompt-toolkit==3.0.38
|
||||
protobuf==4.22.1
|
||||
psutil==5.9.4
|
||||
ptyprocess==0.7.0
|
||||
pure-eval==0.2.2
|
||||
pyarrow==12.0.1
|
||||
pycocoevalcap==1.2
|
||||
pycocotools==2.0.6
|
||||
pycparser==2.21
|
||||
pycryptodome==3.17
|
||||
pydantic==1.10.7
|
||||
pydub==0.25.1
|
||||
pygments==2.14.0
|
||||
pynndescent==0.5.8
|
||||
pyopenssl==23.0.0
|
||||
pyparsing==3.0.9
|
||||
pyrsistent==0.19.3
|
||||
pysocks==1.7.1
|
||||
python-dateutil==2.8.2
|
||||
python-json-logger==2.0.7
|
||||
python-multipart==0.0.6
|
||||
python-utils==3.7.0
|
||||
pytz==2023.3
|
||||
pywavelets==1.4.1
|
||||
pyyaml==6.0
|
||||
pyzmq==25.0.2
|
||||
regex==2022.10.31
|
||||
requests==2.28.1
|
||||
rfc3339-validator==0.1.4
|
||||
rfc3986-validator==0.1.1
|
||||
rfc3986==1.5.0
|
||||
rpe-index==1.2.0
|
||||
safetensors==0.3.1
|
||||
scikit-image==0.21.0
|
||||
scikit-learn==1.2.2
|
||||
scipy==1.10.1
|
||||
seaborn==0.12.2
|
||||
semantic-version==2.10.0
|
||||
send2trash==1.8.0
|
||||
sentence-transformers==2.2.2
|
||||
sentencepiece==0.1.97
|
||||
sentry-sdk==1.19.1
|
||||
setproctitle==1.3.2
|
||||
setuptools==65.6.3
|
||||
six==1.16.0
|
||||
smart-open==6.3.0
|
||||
smmap==5.0.0
|
||||
sniffio==1.3.0
|
||||
soupsieve==2.4
|
||||
spacy-legacy==3.0.12
|
||||
spacy-loggers==1.0.4
|
||||
spacy==3.5.1
|
||||
srsly==2.4.6
|
||||
stack-data==0.6.2
|
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starlette==0.26.1
|
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submitit==1.4.5
|
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sympy==1.11.1
|
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tenacity==8.2.2
|
||||
termcolor==2.3.0
|
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terminado==0.17.1
|
||||
thinc==8.1.9
|
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threadpoolctl==3.1.0
|
||||
tifffile==2023.4.12
|
||||
timm==0.6.13
|
||||
tinycss2==1.2.1
|
||||
tokenizers==0.13.3
|
||||
toolz==0.12.0
|
||||
torch==2.0.0
|
||||
torchaudio==0.12.1
|
||||
torchvision==0.13.1
|
||||
tornado==6.2
|
||||
tqdm==4.64.1
|
||||
traitlets==5.9.0
|
||||
transformers==4.31.0
|
||||
triton==2.0.0
|
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typer==0.7.0
|
||||
typing-extensions==4.4.0
|
||||
tzdata==2023.3
|
||||
uc-micro-py==1.0.2
|
||||
umap-learn==0.5.3
|
||||
uri-template==1.2.0
|
||||
urllib3==1.26.15
|
||||
uvicorn==0.21.1
|
||||
visual-genome==1.1.1
|
||||
wandb==0.14.2
|
||||
wasabi==1.1.1
|
||||
wcwidth==0.2.6
|
||||
webcolors==1.13
|
||||
webdataset==0.2.48
|
||||
webencodings==0.5.1
|
||||
websocket-client==1.5.1
|
||||
websockets==11.0.1
|
||||
wheel==0.38.4
|
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xxhash==3.2.0
|
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yarl==1.8.2
|
||||
zipp==3.14.0
|
||||
@ -1,374 +0,0 @@
|
||||
{
|
||||
"os": "Linux-3.10.0-1160.76.1.el7.x86_64-x86_64-with-glibc2.17",
|
||||
"python": "3.9.16",
|
||||
"heartbeatAt": "2023-10-23T06:10:31.385390",
|
||||
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|
||||
"docker": null,
|
||||
"cuda": null,
|
||||
"args": [
|
||||
"--job_name",
|
||||
"minigpt4_v2_test",
|
||||
"--cfg-path",
|
||||
"train_configs/minigpt_v2_finetune.yaml"
|
||||
],
|
||||
"state": "running",
|
||||
"program": "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py",
|
||||
"codePath": "train.py",
|
||||
"git": {
|
||||
"remote": "https://github.com/junchen14/MiniGPT-4_finetune",
|
||||
"commit": "5c3ec8bb730b2e9df23b4bb3eb24108f9c04a8d6"
|
||||
},
|
||||
"email": "jun.chen@kaust.edu.sa",
|
||||
"root": "/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune",
|
||||
"host": "gpu201-16-l",
|
||||
"username": "chenj0g",
|
||||
"executable": "/home/chenj0g/anaconda3/envs/eye/bin/python",
|
||||
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|
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|
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@ -1 +0,0 @@
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{"epoch": 0, "loss": 1.2293027639389038, "_timestamp": 1698041570.1777537, "_runtime": 140.1412546634674, "_step": 258, "_wandb": {"runtime": 139}}
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File diff suppressed because it is too large
Load Diff
@ -1,26 +0,0 @@
|
||||
2023-10-23 09:10:30,032 INFO MainThread:53639 [wandb_setup.py:_flush():76] Configure stats pid to 53639
|
||||
2023-10-23 09:10:30,032 INFO MainThread:53639 [wandb_setup.py:_flush():76] Loading settings from /home/chenj0g/.config/wandb/settings
|
||||
2023-10-23 09:10:30,032 INFO MainThread:53639 [wandb_setup.py:_flush():76] Loading settings from /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/settings
|
||||
2023-10-23 09:10:30,032 INFO MainThread:53639 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
||||
2023-10-23 09:10:30,032 INFO MainThread:53639 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'train.py', 'program': '/ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/train.py'}
|
||||
2023-10-23 09:10:30,033 INFO MainThread:53639 [wandb_init.py:_log_setup():507] Logging user logs to /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/run-20231023_091030-25yuqsbo/logs/debug.log
|
||||
2023-10-23 09:10:30,033 INFO MainThread:53639 [wandb_init.py:_log_setup():508] Logging internal logs to /ibex/project/c2133/minigpt2_finetune/MiniGPT-4_finetune/wandb/run-20231023_091030-25yuqsbo/logs/debug-internal.log
|
||||
2023-10-23 09:10:30,033 INFO MainThread:53639 [wandb_init.py:init():547] calling init triggers
|
||||
2023-10-23 09:10:30,033 INFO MainThread:53639 [wandb_init.py:init():554] wandb.init called with sweep_config: {}
|
||||
config: {}
|
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2023-10-23 09:10:30,033 INFO MainThread:53639 [wandb_init.py:init():595] starting backend
|
||||
2023-10-23 09:10:30,033 INFO MainThread:53639 [wandb_init.py:init():599] setting up manager
|
||||
2023-10-23 09:10:30,034 INFO MainThread:53639 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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||||
2023-10-23 09:10:30,036 INFO MainThread:53639 [wandb_init.py:init():605] backend started and connected
|
||||
2023-10-23 09:10:30,038 INFO MainThread:53639 [wandb_init.py:init():695] updated telemetry
|
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2023-10-23 09:10:30,456 INFO MainThread:53639 [wandb_init.py:init():732] communicating run to backend with 60.0 second timeout
|
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2023-10-23 09:10:31,052 INFO MainThread:53639 [wandb_run.py:_on_init():2176] communicating current version
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2023-10-23 09:10:31,359 INFO MainThread:53639 [wandb_run.py:_on_init():2185] got version response upgrade_message: "wandb version 0.15.12 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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||||
|
||||
2023-10-23 09:10:31,359 INFO MainThread:53639 [wandb_init.py:init():782] starting run threads in backend
|
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2023-10-23 09:10:36,972 INFO MainThread:53639 [wandb_run.py:_console_start():2157] atexit reg
|
||||
2023-10-23 09:10:36,972 INFO MainThread:53639 [wandb_run.py:_redirect():2012] redirect: SettingsConsole.WRAP_RAW
|
||||
2023-10-23 09:10:36,972 INFO MainThread:53639 [wandb_run.py:_redirect():2077] Wrapping output streams.
|
||||
2023-10-23 09:10:36,972 INFO MainThread:53639 [wandb_run.py:_redirect():2102] Redirects installed.
|
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2023-10-23 09:10:36,972 INFO MainThread:53639 [wandb_init.py:init():824] run started, returning control to user process
|
||||
2023-10-23 09:10:36,973 INFO MainThread:53639 [wandb_watch.py:watch():51] Watching
|
||||
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Loading…
Reference in New Issue
Block a user