sravanthib / single-node-single-gpu-qwen-custom-sft

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 2
30-day runs: 4
Model's Last Updated: July 10 2025

Introduction of single-node-single-gpu-qwen-custom-sft

Model Details of single-node-single-gpu-qwen-custom-sft

single-node-single-gpu-qwen-custom-sft

This model is a fine-tuned version of Qwen/Qwen2.5-3B on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 10
  • total_train_batch_size: 20
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • training_steps: 500
Training results
Framework versions
  • PEFT 0.14.0
  • Transformers 4.51.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.21.2

Runs of sravanthib single-node-single-gpu-qwen-custom-sft on huggingface.co

5
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
4
30-day runs

More Information About single-node-single-gpu-qwen-custom-sft huggingface.co Model

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single-node-single-gpu-qwen-custom-sft huggingface.co Url

https://huggingface.co/sravanthib/single-node-single-gpu-qwen-custom-sft

sravanthib single-node-single-gpu-qwen-custom-sft online free

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single-node-single-gpu-qwen-custom-sft install

single-node-single-gpu-qwen-custom-sft is an open source model from GitHub that offers a free installation service, and any user can find single-node-single-gpu-qwen-custom-sft on GitHub to install. At the same time, huggingface.co provides the effect of single-node-single-gpu-qwen-custom-sft install, users can directly use single-node-single-gpu-qwen-custom-sft installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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sravanthib
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