---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: NousResearch/Llama-2-7b-hf
model-index:
- name: output_llama2_instruct
  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. -->

# output_llama2_instruct

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: 1.6746

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9193        | 0.0   | 20   | 1.8124          |
| 1.8847        | 0.01  | 40   | 1.7835          |
| 1.813         | 0.01  | 60   | 1.7710          |
| 1.9026        | 0.01  | 80   | 1.7605          |
| 1.8352        | 0.01  | 100  | 1.7449          |
| 1.7327        | 0.02  | 120  | 1.7100          |
| 1.8625        | 0.02  | 140  | 1.7055          |
| 1.9379        | 0.02  | 160  | 1.7008          |
| 1.8597        | 0.02  | 180  | 1.6971          |
| 1.8703        | 0.03  | 200  | 1.6943          |
| 1.7749        | 0.03  | 220  | 1.6902          |
| 1.7645        | 0.03  | 240  | 1.6898          |
| 1.7894        | 0.04  | 260  | 1.6886          |
| 1.8492        | 0.04  | 280  | 1.6870          |
| 1.7331        | 0.04  | 300  | 1.6841          |
| 1.7278        | 0.04  | 320  | 1.6830          |
| 1.6963        | 0.05  | 340  | 1.6826          |
| 1.8226        | 0.05  | 360  | 1.6813          |
| 1.8246        | 0.05  | 380  | 1.6797          |
| 1.8577        | 0.05  | 400  | 1.6778          |
| 1.6691        | 0.06  | 420  | 1.6779          |
| 1.7001        | 0.06  | 440  | 1.6774          |
| 1.9008        | 0.06  | 460  | 1.6770          |
| 1.7856        | 0.07  | 480  | 1.6733          |
| 1.7674        | 0.07  | 500  | 1.6746          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1