adapter/README.md

metadata

library_name: peft
license: other
base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: qwen7b_limo_lora_2
    results: []

qwen7b_limo_lora_2

This model is a fine-tuned version of unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit on the limo_restructured 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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• 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: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0