README.md

metadata

library_name: peft
license: apache-2.0
base_model: Qwen/Qwen3-4B
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: product-price-predictor-2025-05-17_07.41.06
    results: []

product-price-predictor-2025-05-17_07.41.06

This model is a fine-tuned version of Qwen/Qwen3-4B 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: 4
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use paged_adamw_32bit 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: 0.03
• num_epochs: 1

Framework versions

• PEFT 0.15.2
• Transformers 4.51.3
• Pytorch 2.7.0+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1