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Qwen-2.5-Coder-1.5B-SQL-Writer

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Qwen-2.5-Coder-1.5B-SQL-Writer

This model is a fine-tuned version of /home/datht/huggingface/Qwen/Qwen2.5-Coder-1.5B-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
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