qwen2.5_coder_3b_sqlfuse_probgate_only_answerable_delimeters_eos

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
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0	0	1.7824
0.1544	1.0	4674	0.1842
0.1131	2.0	9348	0.1640
0.0814	3.0	14022	0.1701
0.0561	4.0	18696	0.1827
0.0359	5.0	23370	0.2362

Framework versions

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

Additional Logging Information

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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