ShacharNar/qwen2.5_coder_3b_sqlfuse_probgate_only_answerable_delimeters_eos

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qwen2.5coder3bsqlfuseprobgateonlyanswerabledelimeterseos

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-3B on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2362

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: 5e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.56.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.5.0
• —Tokenizers 0.22.0

Additional Logging Information

tags:

• —text-to-sql
• —sqlfuse_prompt
• —Qwen2.5-Coder-3B ---

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-3B for the text-to-SQL task.

Training Details

• —Training Time: 02:35:39
• —GPU: NVIDIA A100 80GB PCIe
• —Training Date: 2025-11-28 11:45:10