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qwen_lora_finetuned

PEFT
PyTorch
Safetensors
qwen2
Generated from Trainer
unsloth
trl
sft
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qwen_lora_finetuned / README.md
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metadata
base_model: Qwen/Qwen2.5-0.5B
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
  - unsloth
  - trl
  - sft
model-index:
  - name: qwen_lora_finetuned
    results: []

qwen_lora_finetuned

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on the None 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: 16
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.1
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0