| --- |
| license: apache-2.0 |
| base_model: tiiuae/falcon-7b |
| tags: |
| - generated_from_trainer |
| datasets: |
| - spider |
| model-index: |
| - name: falcon_qlora_sql |
| 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. --> |
|
|
| # falcon_qlora_sql |
|
|
| This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the spider dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1772 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 43.7 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.2917 | 0.23 | 100 | 0.3571 | |
| | 0.8787 | 0.46 | 200 | 0.3685 | |
| | 0.3366 | 0.68 | 300 | 0.4001 | |
| | 0.2319 | 0.91 | 400 | 0.3134 | |
| | 0.3005 | 1.14 | 500 | 0.3567 | |
| | 0.4231 | 1.37 | 600 | 0.3052 | |
| | 0.2535 | 1.6 | 700 | 0.3218 | |
| | 0.2257 | 1.83 | 800 | 0.2744 | |
| | 0.0771 | 2.05 | 900 | 0.2567 | |
| | 0.0978 | 2.28 | 1000 | 0.2304 | |
| | 0.2031 | 2.51 | 1100 | 0.2236 | |
| | 0.2471 | 2.74 | 1200 | 0.2431 | |
| | 0.1514 | 2.97 | 1300 | 0.1897 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
| |
