---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- generator
model-index:
- name: gemma7bit-lora-sql
  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. -->

# gemma7bit-lora-sql

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4155

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1399
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 16.1657       | 0.06  | 20   | 13.6485         |
| 7.8281        | 0.13  | 40   | 0.7808          |
| 0.6243        | 0.19  | 60   | 0.5270          |
| 0.5179        | 0.25  | 80   | 0.4859          |
| 0.4908        | 0.32  | 100  | 0.4754          |
| 0.4752        | 0.38  | 120  | 0.4600          |
| 0.4877        | 0.45  | 140  | 0.4584          |
| 0.4626        | 0.51  | 160  | 0.4560          |
| 0.4569        | 0.57  | 180  | 0.4428          |
| 0.4504        | 0.64  | 200  | 0.4354          |
| 0.4432        | 0.7   | 220  | 0.4348          |
| 0.4395        | 0.76  | 240  | 0.4317          |
| 0.4338        | 0.83  | 260  | 0.4256          |
| 0.4308        | 0.89  | 280  | 0.4260          |
| 0.4283        | 0.95  | 300  | 0.4210          |
| 0.4146        | 1.02  | 320  | 0.4225          |
| 0.3848        | 1.08  | 340  | 0.4186          |
| 0.3812        | 1.14  | 360  | 0.4185          |
| 0.38          | 1.21  | 380  | 0.4200          |
| 0.3795        | 1.27  | 400  | 0.4171          |
| 0.3766        | 1.34  | 420  | 0.4174          |
| 0.3772        | 1.4   | 440  | 0.4136          |
| 0.3777        | 1.46  | 460  | 0.4148          |
| 0.379         | 1.53  | 480  | 0.4155          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2