---
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