---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: NousResearch/Llama-2-7b-hf
model-index:
- name: llama2_instruct_generation
  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. -->

# llama2_instruct_generation

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6717

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 20
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9453        | 0.0   | 20   | 1.8075          |
| 1.8785        | 0.01  | 40   | 1.7784          |
| 1.8857        | 0.01  | 60   | 1.7662          |
| 1.8799        | 0.01  | 80   | 1.7530          |
| 1.9231        | 0.01  | 100  | 1.7425          |
| 1.813         | 0.02  | 120  | 1.7142          |
| 1.8755        | 0.02  | 140  | 1.7035          |
| 1.8051        | 0.02  | 160  | 1.6975          |
| 1.7347        | 0.02  | 180  | 1.6927          |
| 1.7275        | 0.03  | 200  | 1.6907          |
| 1.8213        | 0.03  | 220  | 1.6882          |
| 1.7671        | 0.03  | 240  | 1.6851          |
| 1.7736        | 0.04  | 260  | 1.6839          |
| 1.8085        | 0.04  | 280  | 1.6826          |
| 1.74          | 0.04  | 300  | 1.6803          |
| 1.7354        | 0.04  | 320  | 1.6789          |
| 1.7736        | 0.05  | 340  | 1.6808          |
| 1.8226        | 0.05  | 360  | 1.6786          |
| 1.7954        | 0.05  | 380  | 1.6761          |
| 1.7472        | 0.05  | 400  | 1.6746          |
| 1.6613        | 0.06  | 420  | 1.6736          |
| 1.7523        | 0.06  | 440  | 1.6721          |
| 1.7296        | 0.06  | 460  | 1.6717          |
| 1.8324        | 0.07  | 480  | 1.6729          |
| 1.7083        | 0.07  | 500  | 1.6717          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0