Qwen3-4B-SQL-Writer

This model is a fine-tuned version of /export/home/s2986280/Qwen/Qwen3-4B-Instruct-2507 on the /export/home/s2986280/sft_text2sql_v2 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: 2e-05
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 64
• total_train_batch_size: 128
• 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
• num_epochs: 2

Training results

Framework versions

• Transformers 4.57.1
• Pytorch 2.2.2
• Datasets 4.1.1
• Tokenizers 0.22.1