---
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: 1.6908

## 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: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7099        | 0.0   | 20   | 1.8211          |
| 1.9047        | 0.0   | 40   | 1.7987          |
| 1.9396        | 0.0   | 60   | 1.7830          |
| 1.9942        | 0.0   | 80   | 1.7758          |
| 1.8507        | 0.0   | 100  | 1.7698          |
| 2.0794        | 0.0   | 120  | 1.7683          |
| 1.8043        | 0.0   | 140  | 1.7646          |
| 2.0321        | 0.01  | 160  | 1.7563          |
| 1.7889        | 0.01  | 180  | 1.7487          |
| 1.8727        | 0.01  | 200  | 1.7279          |
| 1.6872        | 0.01  | 220  | 1.7131          |
| 1.6098        | 0.01  | 240  | 1.7100          |
| 2.0663        | 0.01  | 260  | 1.7101          |
| 1.8513        | 0.01  | 280  | 1.7054          |
| 1.7695        | 0.01  | 300  | 1.7015          |
| 1.7101        | 0.01  | 320  | 1.7015          |
| 1.7896        | 0.01  | 340  | 1.6957          |
| 2.0864        | 0.01  | 360  | 1.6974          |
| 1.8656        | 0.01  | 380  | 1.6949          |
| 1.8073        | 0.01  | 400  | 1.6928          |
| 1.7276        | 0.01  | 420  | 1.6911          |
| 1.7795        | 0.01  | 440  | 1.6897          |
| 1.8992        | 0.02  | 460  | 1.6882          |
| 1.5421        | 0.02  | 480  | 1.6889          |
| 1.9574        | 0.02  | 500  | 1.6908          |


### Framework versions

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