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**Describe the bug**
![image](https://github.com/modelscope/swift/assets/47747764/c2057146-3e09-43a9-850b-f9e73267cc3b)
**Your hardware and system info**
torchrun --nproc_per_node ${num_gpu_per_no…
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**Categorization**
bug report
**Author list for the paper**
Xin Ye : xy348709@ohio.edu
Razvan Bunescu: bunescu@ohio.edu
Chang Liu:liuc@ohio.edu
**General overview of the data**
This dataset contai…
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```
import os
import sys
from typing import List
import fire
import torch
import transformers
from datasets import load_dataset
import os
# os.environ["NCCL_P2P_DISABLE"] = "1"
# os.envi…
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On the latest version (2.03) of xgboost4j-spark XGBoostClassifer and XGBoostRegressor are available for classification and regression trainning tasks, but there seems to be no equivalent pipeline for …
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### Describe the bug
I executed the following command to train a dreambooth model using the example script from the document. The only change I made is to change the `--train_text_encoder_ti` to `-…
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hi, I use the image and code in the paper, but cannot reproduce the results, here is the train and infer details:
```
accelerate launch train_dreambooth_b-lora_sdxl.py \
--pretrained_model_name…
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Another interesting improvement idea for our LoRA implementation:
> LoRA+: Efficient Low Rank Adaptation of Large Model, [https://arxiv.org/abs/2402.12354](https://arxiv.org/abs/2402.12354)
In s…
rasbt updated
3 months ago
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I'm trying to run MMLSpark with LightGBM algorithms and applying hyper parameters tuning, but it is not so easy to adapt it based on the actual examples and with the Python API.
I would like to see…
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Thank you for your implementation.
I want to know how to run Personalized Re-ranking Model based on your recsys?
Could you please provide a **Google Colab version example** for me ?Thank you a lot!!…
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Dear @FabianIsensee and team: I encountered into this (or at least a related) issue with "RuntimeError: Some background workers are no longer alive" (including the whole error log below just for refer…