---
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: 1.6728

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9239        | 0.0   | 20   | 1.8081          |
| 1.8915        | 0.01  | 40   | 1.7801          |
| 1.9622        | 0.01  | 60   | 1.7659          |
| 1.8338        | 0.01  | 80   | 1.7555          |
| 1.8614        | 0.01  | 100  | 1.7390          |
| 1.8221        | 0.02  | 120  | 1.7068          |
| 1.7601        | 0.02  | 140  | 1.7031          |
| 1.8557        | 0.02  | 160  | 1.6985          |
| 1.8575        | 0.02  | 180  | 1.6942          |
| 1.777         | 0.03  | 200  | 1.6925          |
| 1.8087        | 0.03  | 220  | 1.6904          |
| 1.856         | 0.03  | 240  | 1.6884          |
| 1.7704        | 0.04  | 260  | 1.6870          |
| 1.819         | 0.04  | 280  | 1.6838          |
| 1.8136        | 0.04  | 300  | 1.6836          |
| 1.768         | 0.04  | 320  | 1.6821          |
| 1.7937        | 0.05  | 340  | 1.6809          |
| 1.8045        | 0.05  | 360  | 1.6791          |
| 1.7958        | 0.05  | 380  | 1.6784          |
| 1.7995        | 0.05  | 400  | 1.6790          |
| 1.805         | 0.06  | 420  | 1.6775          |
| 1.9388        | 0.06  | 440  | 1.6742          |
| 1.8304        | 0.06  | 460  | 1.6742          |
| 1.8732        | 0.07  | 480  | 1.6729          |
| 1.8443        | 0.07  | 500  | 1.6728          |


### Framework versions

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