---
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: 2.1014

## 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: 20000

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.2954        | 3.2   | 1000  | 1.8424          |
| 1.747         | 6.4   | 2000  | 1.7355          |
| 1.6037        | 9.6   | 3000  | 1.6513          |
| 1.4616        | 12.8  | 4000  | 1.6125          |
| 1.3183        | 16.0  | 5000  | 1.6114          |
| 1.1743        | 19.2  | 6000  | 1.6670          |
| 1.0421        | 22.4  | 7000  | 1.7143          |
| 0.9229        | 25.6  | 8000  | 1.7434          |
| 0.8166        | 28.8  | 9000  | 1.8055          |
| 0.7256        | 32.0  | 10000 | 1.8523          |
| 0.6435        | 35.2  | 11000 | 1.9160          |
| 0.5779        | 38.4  | 12000 | 1.9352          |
| 0.5209        | 41.6  | 13000 | 1.9740          |
| 0.4739        | 44.8  | 14000 | 2.0014          |
| 0.4353        | 48.0  | 15000 | 2.0192          |
| 0.4036        | 51.2  | 16000 | 2.0506          |
| 0.3814        | 54.4  | 17000 | 2.0678          |
| 0.3626        | 57.6  | 18000 | 2.0861          |
| 0.3504        | 60.8  | 19000 | 2.0940          |
| 0.3391        | 64.0  | 20000 | 2.1014          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1