--- base_model: NumbersStation/nsql-350M library_name: peft license: bsd-3-clause tags: - generated_from_trainer model-index: - name: training_run results: [] --- # training_run This model is a fine-tuned version of [NumbersStation/nsql-350M](https://huggingface.co/NumbersStation/nsql-350M) on an custom dataset. ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0001 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results ### Framework versions - PEFT 0.12.0 - Transformers 4.42.3 - Pytorch 2.1.2 - Datasets 2.20.0 - Tokenizers 0.19.1