ShacharNar/PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable_delimeters_eos

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PEFTqwen2.5coder3bprobgateschemaawarefinetunedonlyanswerabledelimeters_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: 0.0637

The model was trained using the <start_sql> and <end_sql> delimiters and the <|end_of_text> token.

LoRA config:

• —tasktype='CAUSALLM'
• —r=128
• —targetmodules={'embedtokens', 'upproj', 'gateproj', 'downproj', 'vproj', 'oproj', 'qproj', 'lmhead', 'kproj'}
• —lora_alpha=256
• —lora_dropout=0.1

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: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.48.0
• —Pytorch 2.7.1+cu126
• —Datasets 3.2.0
• —Tokenizers 0.21.0