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Dear author, now if I want to add a GQA dataset for training, what do I need to do exactly?
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Is it trainable ? Could you please tell whether i can finetune this model to fix personal use?
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Hello,
I've ran a full finetuning on Flux using guidance_scale=1.0.
Now when I try to inference the model, I need to set the CFG scale > 1 because if I let it at 1 to disable it like I'm used t…
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## The problem
I'm having trouble with using groupwise metrics with finetune
## Reproducible example
```r
pacman::p_load(tidymodels, finetune)
data(ames)
diff_range Warning in max(best_…
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Thanks for your good work. I use the offered SDXL weights to finetune with my own data, but it seems the loss doesn't converge and I wonder whether the offered weights are trained on 1024 resolution. …
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This is a very useful repository!
We would like to fine tune the pretrained models on our own dataset. If you are able to, could you please provide training checkpoints of your pretrained models wi…
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我的微调命令就是基于本仓库提供的示例
https://github.com/FlagOpen/FlagEmbedding/tree/master/examples/unified_finetune
微调命令:
`export CUDA_VISIBLE_DEVICES=0,1
torchrun --nproc_per_node 2 \
-m FlagEmbedding.BGE_M3…
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Could you provide a script/notebook demo to show how to finetune this model?
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Hello. At line 111 of the main.py script, the output of the finetune() function is not returned. Is this the intended behavior?
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I'm sorry to bother you
I want to change this model from zero-shot to finetune with less data
When I use 4 data (repeated about 10 times) = 40 data for training. But He will keep popping up errors. …