PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable_with_tokens – AI Model by ShacharNar | AlphaNeural AI

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PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable_with_tokens

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Qwen/Qwen2.5-Coder-3B

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PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_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
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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0	0	1.1622
0.0589	1.0	1169	0.0610
0.0531	2.0	2338	0.0607
0.0489	3.0	3507	0.0636

Framework versions

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