metadata
library_name: transformers
base_model: Qwen/Qwen3-4B-Instruct-2507
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- griffith-bigdata/sft_text2sql
model-index:
- name: Qwen3-4B-SQL-Writer
results: []
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