| | --- |
| | license: other |
| | base_model: microsoft/phi-1_5 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: phi-1_5-finetuned-SQL-2 |
| | 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. --> |
| |
|
| | # phi-1_5-finetuned-SQL-2 |
| | |
| | This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7586 |
| | |
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - training_steps: 10000 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 2.1598 | 3.2 | 1000 | 1.7484 | |
| | | 1.6682 | 6.4 | 2000 | 1.5604 | |
| | | 1.5154 | 9.6 | 3000 | 1.4110 | |
| | | 1.3766 | 12.8 | 4000 | 1.2735 | |
| | | 1.2458 | 16.0 | 5000 | 1.1389 | |
| | | 1.1176 | 19.2 | 6000 | 1.0163 | |
| | | 1.0093 | 22.4 | 7000 | 0.9195 | |
| | | 0.9166 | 25.6 | 8000 | 0.8406 | |
| | | 0.8448 | 28.8 | 9000 | 0.7828 | |
| | | 0.7928 | 32.0 | 10000 | 0.7586 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.1 |
| | |
