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q_lora_on_qwen2.5_14b

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q_lora_on_qwen2.5_14b / README.md
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metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-14B
tags:
  - generated_from_trainer
model-index:
  - name: q_lora_on_qwen2.5_14b
    results: []

q_lora_on_qwen2.5_14b

This model is a fine-tuned version of Qwen/Qwen2.5-14B 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: 5e-05
  • train_batch_size: 3
  • eval_batch_size: 3
  • seed: 42
  • gradient_accumulation_steps: 5
  • total_train_batch_size: 15
  • optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.48.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0