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PEFT_qwen2.5_coder_3b_probgate_schema_aware_only_answerable_delimeters_eos
ShacharNar/PEFT_qwen2.5_coder_3b_probgate_schema_aware_only_answerable_delimeters_eos
PEFT_qwen2.5_coder_3b_probgate_schema_aware_only_answerable_delimeters_eos is a machine learning model from ShacharNar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jun 14, 2025
- Updated
- Jun 14, 2025
- SHA
- 18950f71
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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<start_sql> {query} \n<end_sql>"
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
- Library
- peft
- License
- other
- Created
- Jun 14, 2025
- Updated
- Jun 14, 2025