PEFT_qwen2.5_coder_3b_probgate_schema_aware_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: 0.0375

Finetuned the model using PeFT for 8 epochs (3+5). The best validation loss achieved on 3 opochs and 1169 steps.

query_wrapper = lambda query: f"\n\n {query} \n"

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-06
• train_batch_size: 4
• 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	0.0742
0.0212	1.0	1169	0.0326
0.0191	2.0	2338	0.0333
0.0173	3.0	3507	0.0338
0.0156	4.0	4676	0.0360
0.0143	5.0	5845	0.0375

Framework versions

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