| | --- |
| | license: other |
| | base_model: facebook/opt-iml-1.3b |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: sql-OPT-IML-Spider |
| | 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-OPT-IML-Spider |
| |
|
| | This model is a fine-tuned version of [facebook/opt-iml-1.3b](https://huggingface.co/facebook/opt-iml-1.3b) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6240 |
| |
|
| | ## 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: 16 |
| | - 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: 200 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.4167 | 2.76 | 20 | 3.3131 | |
| | | 2.822 | 5.52 | 40 | 2.6244 | |
| | | 1.8781 | 8.28 | 60 | 1.7491 | |
| | | 1.1619 | 11.03 | 80 | 1.3205 | |
| | | 0.7079 | 13.79 | 100 | 1.0339 | |
| | | 0.4644 | 16.55 | 120 | 0.8472 | |
| | | 0.3597 | 19.31 | 140 | 0.7265 | |
| | | 0.3092 | 22.07 | 160 | 0.6580 | |
| | | 0.2789 | 24.83 | 180 | 0.6310 | |
| | | 0.2646 | 27.59 | 200 | 0.6240 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.0 |
| |
|
