| --- |
| license: apache-2.0 |
| base_model: tiiuae/falcon-40b |
| tags: |
| - generated_from_trainer |
| datasets: |
| - spider |
| model-index: |
| - name: falcon_40b_qlora_sql_r64 |
| 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_40b_qlora_sql_r64 |
|
|
| This model is a fine-tuned version of [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) on the spider dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1260 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - 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: 43.7 |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.1845 | 0.23 | 100 | 0.2542 | |
| | 0.5572 | 0.46 | 200 | 0.2048 | |
| | 0.0779 | 0.69 | 300 | 0.1761 | |
| | 0.0581 | 0.91 | 400 | 0.1315 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.32.0.dev0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
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|
