ShacharNar/PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable_with_tokens
04
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PEFTqwen2.5coder3bprobgateschemaawarefinetunedonly_answerable
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: 0.0636
Model description
The model was trained using special SQL generation delimeters: <start_sql> SQL QUERY <end_sql>
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: 4
- 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