---
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: 1.6750

## 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: 0.03
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8413        | 0.0   | 20   | 1.8102          |
| 1.9042        | 0.01  | 40   | 1.7811          |
| 1.8402        | 0.01  | 60   | 1.7657          |
| 1.8856        | 0.01  | 80   | 1.7511          |
| 1.9212        | 0.01  | 100  | 1.7390          |
| 1.807         | 0.02  | 120  | 1.7090          |
| 1.8321        | 0.02  | 140  | 1.7029          |
| 1.871         | 0.02  | 160  | 1.6979          |
| 1.848         | 0.02  | 180  | 1.6947          |
| 1.8378        | 0.03  | 200  | 1.6908          |
| 1.746         | 0.03  | 220  | 1.6893          |
| 1.7568        | 0.03  | 240  | 1.6874          |
| 1.8227        | 0.04  | 260  | 1.6860          |
| 1.8134        | 0.04  | 280  | 1.6835          |
| 1.8026        | 0.04  | 300  | 1.6819          |
| 1.8267        | 0.04  | 320  | 1.6831          |
| 1.7998        | 0.05  | 340  | 1.6816          |
| 1.8747        | 0.05  | 360  | 1.6793          |
| 1.8478        | 0.05  | 380  | 1.6785          |
| 1.8627        | 0.05  | 400  | 1.6776          |
| 1.7956        | 0.06  | 420  | 1.6783          |
| 1.7184        | 0.06  | 440  | 1.6764          |
| 1.7038        | 0.06  | 460  | 1.6753          |
| 1.9049        | 0.07  | 480  | 1.6764          |
| 1.8113        | 0.07  | 500  | 1.6750          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0