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Qwen3-4B-SQL-Writer – AI Model by griffith-bigdata | AlphaNeural AI
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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