---
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: 1.6728

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.8965        | 0.0027 | 20   | 1.8107          |
| 1.8264        | 0.0054 | 40   | 1.7808          |
| 1.9263        | 0.0081 | 60   | 1.7669          |
| 1.8825        | 0.0108 | 80   | 1.7538          |
| 1.8391        | 0.0135 | 100  | 1.7324          |
| 1.8253        | 0.0163 | 120  | 1.7068          |
| 1.9297        | 0.0190 | 140  | 1.7029          |
| 1.8338        | 0.0217 | 160  | 1.6985          |
| 1.7641        | 0.0244 | 180  | 1.6939          |
| 1.7714        | 0.0271 | 200  | 1.6916          |
| 1.715         | 0.0298 | 220  | 1.6886          |
| 1.7786        | 0.0325 | 240  | 1.6866          |
| 1.716         | 0.0352 | 260  | 1.6860          |
| 1.899         | 0.0379 | 280  | 1.6857          |
| 1.8455        | 0.0406 | 300  | 1.6851          |
| 1.6802        | 0.0433 | 320  | 1.6836          |
| 1.7304        | 0.0461 | 340  | 1.6818          |
| 1.8154        | 0.0488 | 360  | 1.6793          |
| 1.8813        | 0.0515 | 380  | 1.6793          |
| 1.8423        | 0.0542 | 400  | 1.6789          |
| 1.7785        | 0.0569 | 420  | 1.6767          |
| 1.8999        | 0.0596 | 440  | 1.6763          |
| 1.7594        | 0.0623 | 460  | 1.6752          |
| 1.7182        | 0.0650 | 480  | 1.6745          |
| 1.8259        | 0.0677 | 500  | 1.6728          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1