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New issues
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Hi there, it appears that there are quite a few issues with this script. When wrapping it into a PoSH transcript log, it's full of errors when trying to remove the AppxPackages, but like I say, they "…
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Issues downloading models. all and base fail, but large-v3 works (Using conda env). Error:
(atrain_core_env) C:\>aTrain_core load --model all
C:\anaconda3\envs\atrain_core_env\lib\site-packages\aT…
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## Environment Details
* EclipseStore Version: 2.0
* JDK version: 22
* OS: macos
* Used frameworks: none
## Describe the bug
**I am not sure this is a bug... but is weird enough, maybe somethi…
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@scholastictolase@github.com
What dyu think?
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IDE steals focus randomly.
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#What the test was: Intergration test.
#The expected result:
status code 200
#What when wrong:
Error 404
#steps to reproduce issues:
-run python app.py
-access browser http:// [127.0.0.1:500…
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- In the `babynames` example in the paper, why do you convert it to a data frame? It already is a tibble and therefore a dataframe. This needs fixed or explained. I would suggest loading the `deident`…
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Sometimes, it is useful to set the initial path used by the client to establish a connection, e.g. to bypass the default routing or to specify the port number used by the client. The function `picoqui…
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您好，非常有意义的工作！
在我用您提供的数据集中 LLaVA 1.5的数据进行训练时，发现在Object Hallucination的benchmark上：
全量微调的性能分别为：19.13 与 9.32
lora微调的性能分别为：10.07 与 5.30
远低于您使用online策略微调的模型性能，请问有什么策略 / 使用何种数据可以逼近于您的性能吗？