---
base_model: meta-llama/Llama-2-7b-hf
datasets:
- generator
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama7bit-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. -->

# llama7bit-lora-sql

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3666

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2114        | 0.06  | 20   | 0.8331          |
| 0.6838        | 0.12  | 40   | 0.5232          |
| 0.5107        | 0.17  | 60   | 0.4600          |
| 0.4618        | 0.23  | 80   | 0.4289          |
| 0.4412        | 0.29  | 100  | 0.4153          |
| 0.425         | 0.35  | 120  | 0.4067          |
| 0.4182        | 0.41  | 140  | 0.3956          |
| 0.4137        | 0.47  | 160  | 0.3912          |
| 0.4047        | 0.52  | 180  | 0.3865          |
| 0.4034        | 0.58  | 200  | 0.3834          |
| 0.3968        | 0.64  | 220  | 0.3833          |
| 0.3954        | 0.7   | 240  | 0.3782          |
| 0.3921        | 0.76  | 260  | 0.3756          |
| 0.3877        | 0.82  | 280  | 0.3730          |
| 0.3849        | 0.87  | 300  | 0.3722          |
| 0.3831        | 0.93  | 320  | 0.3714          |
| 0.3787        | 0.99  | 340  | 0.3702          |
| 0.3677        | 1.05  | 360  | 0.3692          |
| 0.3632        | 1.11  | 380  | 0.3686          |
| 0.3611        | 1.17  | 400  | 0.3677          |
| 0.3588        | 1.22  | 420  | 0.3669          |
| 0.3579        | 1.28  | 440  | 0.3666          |
| 0.3551        | 1.34  | 460  | 0.3666          |
| 0.3586        | 1.4   | 480  | 0.3665          |
| 0.3581        | 1.46  | 500  | 0.3666          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2