2ade0506-ad4c-47c4-a59c-11065a948277

This model is a fine-tuned version of defog/sqlcoder-7b-2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9242

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: 0.000214
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 50
• training_steps: 219

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0017	1	1.2973
1.1048	0.0858	50	1.0283
0.9773	0.1716	100	0.9924
0.9845	0.2574	150	1.0258
0.9741	0.3432	200	0.9242

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1