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Training completed
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metadata
library_name: peft
license: other
base_model: Qwen/Qwen2.5-3B
tags:
  - generated_from_trainer
model-index:
  - name: single-node-single-gpu-qwen-custom-sft
    results: []

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