| --- |
| license: llama2 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: codellama/CodeLlama-7b-hf |
| model-index: |
| - name: sql-code-llama |
| 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. --> |
|
|
| # sql-code-llama |
|
|
| This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4583 |
|
|
| ## 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: 0.0003 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 400 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.2023 | 0.04 | 20 | 2.0520 | |
| | 1.212 | 0.07 | 40 | 0.8926 | |
| | 0.8532 | 0.11 | 60 | 0.7526 | |
| | 0.5953 | 0.14 | 80 | 0.5960 | |
| | 0.3869 | 0.18 | 100 | 0.5596 | |
| | 0.5738 | 0.22 | 120 | 0.5181 | |
| | 0.4281 | 0.25 | 140 | 0.5080 | |
| | 0.6451 | 0.29 | 160 | 0.5146 | |
| | 0.4874 | 0.33 | 180 | 0.4893 | |
| | 0.3588 | 0.36 | 200 | 0.5016 | |
| | 0.5308 | 0.4 | 220 | 0.4816 | |
| | 0.4006 | 0.43 | 240 | 0.4777 | |
| | 0.5958 | 0.47 | 260 | 0.4780 | |
| | 0.4682 | 0.51 | 280 | 0.4685 | |
| | 0.3507 | 0.54 | 300 | 0.4753 | |
| | 0.5079 | 0.58 | 320 | 0.4664 | |
| | 0.3933 | 0.62 | 340 | 0.4626 | |
| | 0.5839 | 0.65 | 360 | 0.4622 | |
| | 0.4543 | 0.69 | 380 | 0.4594 | |
| | 0.3475 | 0.72 | 400 | 0.4583 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.10.1.dev0 |
| - Transformers 4.36.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
