README.md

metadata

library_name: peft
license: other
base_model: unsloth/Qwen2.5-7B-Instruct-bnb-4bit
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: qwen_lora
    results: []

qwen_lora

This model is a fine-tuned version of unsloth/Qwen2.5-7B-Instruct-bnb-4bit on the alpaca_en_demo 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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• 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: 0.1
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.46.1
• Pytorch 2.3.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3