---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
datasets:
- generator
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: 0.3700

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2068        | 0.06  | 20   | 0.8181          |
| 0.6757        | 0.12  | 40   | 0.5148          |
| 0.5104        | 0.17  | 60   | 0.4552          |
| 0.4633        | 0.23  | 80   | 0.4269          |
| 0.442         | 0.29  | 100  | 0.4110          |
| 0.428         | 0.35  | 120  | 0.3993          |
| 0.4209        | 0.41  | 140  | 0.3983          |
| 0.4142        | 0.47  | 160  | 0.3932          |
| 0.4032        | 0.52  | 180  | 0.3888          |
| 0.3999        | 0.58  | 200  | 0.3841          |
| 0.3977        | 0.64  | 220  | 0.3827          |
| 0.397         | 0.7   | 240  | 0.3811          |
| 0.3927        | 0.76  | 260  | 0.3781          |
| 0.3873        | 0.82  | 280  | 0.3762          |
| 0.3871        | 0.87  | 300  | 0.3728          |
| 0.3861        | 0.93  | 320  | 0.3715          |
| 0.3809        | 0.99  | 340  | 0.3695          |
| 0.3664        | 1.05  | 360  | 0.3700          |


### Framework versions

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