| library_name: transformers | |
| base_model: Qwen/Qwen2.5-Coder-3B-Instruct | |
| tags: | |
| - alignment-handbook | |
| - generated_from_trainer | |
| datasets: | |
| - griffith-bigdata/sft_text2sql | |
| model-index: | |
| - name: Qwen-2.5-Coder-3B-SQL-Writer | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # Qwen-2.5-Coder-3B-SQL-Writer | |
| This model is a fine-tuned version of [/home/datht/huggingface/Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co//home/datht/huggingface/Qwen/Qwen2.5-Coder-3B-Instruct) on the /home/datht/mats/data/sft/sft_text2sql_v2 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: 2e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 2 | |
| - gradient_accumulation_steps: 64 | |
| - total_train_batch_size: 128 | |
| - total_eval_batch_size: 2 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 2 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.45.0 | |
| - Pytorch 2.2.2+cu121 | |
| - Datasets 4.1.1 | |
| - Tokenizers 0.20.3 | |