metadata
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-SQL-2
results: []
phi-1_5-finetuned-SQL-2
This model is a fine-tuned version of 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