make codespell happy

This commit is contained in:
Aaron Miller 2023-10-10 08:58:41 -07:00 committed by AT
parent 4f0cee9330
commit 3c25d81759
2 changed files with 3 additions and 3 deletions

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@ -75,7 +75,7 @@
* resumable downloads for models * resumable downloads for models
* chat list in the drawer drop down * chat list in the drawer drop down
* add/remove/rename chats * add/remove/rename chats
* perist chats to disk and restore them with full context (WARNING: the average size of each chat on disk is ~1.5GB) * persist chats to disk and restore them with full context (WARNING: the average size of each chat on disk is ~1.5GB)
* NOTE: to turn on the persistent chats feature you need to do so via the settings dialog as it is off by default * NOTE: to turn on the persistent chats feature you need to do so via the settings dialog as it is off by default
* automatically rename chats using the AI after the first prompt/response pair * automatically rename chats using the AI after the first prompt/response pair
* new usage statistics including more detailed hardware info to help debug problems on older hardware * new usage statistics including more detailed hardware info to help debug problems on older hardware
@ -524,7 +524,7 @@
"version": "2.4.19", "version": "2.4.19",
"notes": "notes":
" "
* Fix a crasher on systems with corrupted vulkan drivers or corrupted vulkan dlls * Fix a crash on systems with corrupted vulkan drivers or corrupted vulkan dlls
", ",
"contributors": "contributors":
" "

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@ -75,7 +75,7 @@ def train(accelerator, config):
else DummyOptim else DummyOptim
) )
# karpathy doesn't decay embeddding, maybe we should exclude # karpathy doesn't decay embedding, maybe we should exclude
# https://github.com/karpathy/minGPT/commit/bbbdac74fa9b2e55574d70056163ffbae42310c1#diff-2075fa9c224b395be5bda85544dd36572b59c76c54562819eadadbf268602834R157s # https://github.com/karpathy/minGPT/commit/bbbdac74fa9b2e55574d70056163ffbae42310c1#diff-2075fa9c224b395be5bda85544dd36572b59c76c54562819eadadbf268602834R157s
optimizer = optimizer_cls(model.parameters(), lr=config["lr"], weight_decay=config["weight_decay"]) optimizer = optimizer_cls(model.parameters(), lr=config["lr"], weight_decay=config["weight_decay"])