---
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: 1.6705

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9724        | 0.0   | 20   | 1.8100          |
| 1.8173        | 0.01  | 40   | 1.7801          |
| 1.8184        | 0.01  | 60   | 1.7671          |
| 1.8725        | 0.01  | 80   | 1.7568          |
| 1.8967        | 0.01  | 100  | 1.7460          |
| 1.8943        | 0.02  | 120  | 1.7172          |
| 1.788         | 0.02  | 140  | 1.7045          |
| 1.8953        | 0.02  | 160  | 1.6986          |
| 1.8262        | 0.02  | 180  | 1.6943          |
| 1.8472        | 0.03  | 200  | 1.6926          |
| 1.8416        | 0.03  | 220  | 1.6896          |
| 1.838         | 0.03  | 240  | 1.6855          |
| 1.7743        | 0.04  | 260  | 1.6806          |
| 1.8562        | 0.04  | 280  | 1.6785          |
| 1.8562        | 0.04  | 300  | 1.6794          |
| 1.8117        | 0.04  | 320  | 1.6783          |
| 1.8193        | 0.05  | 340  | 1.6768          |
| 1.8807        | 0.05  | 360  | 1.6745          |
| 1.7641        | 0.05  | 380  | 1.6738          |
| 1.7738        | 0.05  | 400  | 1.6735          |
| 1.7759        | 0.06  | 420  | 1.6733          |
| 1.7089        | 0.06  | 440  | 1.6721          |
| 1.7984        | 0.06  | 460  | 1.6706          |
| 1.7243        | 0.07  | 480  | 1.6720          |
| 1.9205        | 0.07  | 500  | 1.6705          |


### Framework versions

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