metadata
library_name: peft
base_model: Chinastark/DatA-SQL-7B
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: data-sql-7b-oracle-postgresql
results: []
data-sql-7b-oracle-postgresql
This model is a fine-tuned version of Chinastark/DatA-SQL-7B on an unknown dataset.
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
Framework versions
- PEFT 0.13.0
- Transformers 4.45.0
- Pytorch 2.9.0+cu126
- Datasets 3.1.0
- Tokenizers 0.20.3