---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: NousResearch/Llama-2-7b-hf
datasets:
- generator
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: 1.6709

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.9464        | 0.0027 | 20   | 1.8079          |
| 1.8933        | 0.0054 | 40   | 1.7789          |
| 1.8882        | 0.0081 | 60   | 1.7644          |
| 1.7861        | 0.0108 | 80   | 1.7545          |
| 1.7948        | 0.0135 | 100  | 1.7400          |
| 1.8786        | 0.0163 | 120  | 1.7138          |
| 1.8041        | 0.0190 | 140  | 1.7061          |
| 1.713         | 0.0217 | 160  | 1.6969          |
| 1.8453        | 0.0244 | 180  | 1.6944          |
| 1.8526        | 0.0271 | 200  | 1.6914          |
| 1.8792        | 0.0298 | 220  | 1.6907          |
| 1.6989        | 0.0325 | 240  | 1.6874          |
| 1.8333        | 0.0352 | 260  | 1.6868          |
| 1.8608        | 0.0379 | 280  | 1.6847          |
| 1.9045        | 0.0406 | 300  | 1.6830          |
| 1.8614        | 0.0433 | 320  | 1.6822          |
| 1.7854        | 0.0461 | 340  | 1.6801          |
| 1.8538        | 0.0488 | 360  | 1.6783          |
| 1.7165        | 0.0515 | 380  | 1.6766          |
| 1.8302        | 0.0542 | 400  | 1.6782          |
| 1.7844        | 0.0569 | 420  | 1.6761          |
| 1.747         | 0.0596 | 440  | 1.6742          |
| 1.7928        | 0.0623 | 460  | 1.6735          |
| 1.7661        | 0.0650 | 480  | 1.6732          |
| 1.7684        | 0.0677 | 500  | 1.6709          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1