Qwen-2.5-Coder-0.5B-SQL-Writer

This model is a fine-tuned version of /home/datht/huggingface/Qwen/Qwen2.5-Coder-0.5B-Instruct on the /home/datht/mats/data/sft/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: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 64
• total_train_batch_size: 128
• total_eval_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 2

Training results

Framework versions

• Transformers 4.45.0
• Pytorch 2.2.2+cu121
• Datasets 4.1.1
• Tokenizers 0.20.3