---
base_model: NousResearch/Llama-2-7b-hf
datasets:
- generator
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
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: 1.6759

## 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
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9468        | 0.0027 | 20   | 1.8141          |
| 1.8734        | 0.0054 | 40   | 1.7849          |
| 1.8769        | 0.0081 | 60   | 1.7718          |
| 1.8633        | 0.0108 | 80   | 1.7599          |
| 1.8583        | 0.0135 | 100  | 1.7472          |
| 1.8264        | 0.0163 | 120  | 1.7176          |
| 1.8714        | 0.0190 | 140  | 1.7053          |
| 1.831         | 0.0217 | 160  | 1.7012          |
| 1.7957        | 0.0244 | 180  | 1.6947          |
| 1.8613        | 0.0271 | 200  | 1.6934          |
| 1.81          | 0.0298 | 220  | 1.6915          |
| 1.7995        | 0.0325 | 240  | 1.6893          |
| 1.9067        | 0.0352 | 260  | 1.6872          |
| 1.8261        | 0.0379 | 280  | 1.6860          |
| 1.8609        | 0.0406 | 300  | 1.6843          |
| 1.7725        | 0.0433 | 320  | 1.6835          |
| 1.8061        | 0.0461 | 340  | 1.6819          |
| 1.8842        | 0.0488 | 360  | 1.6804          |
| 1.7648        | 0.0515 | 380  | 1.6799          |
| 1.8121        | 0.0542 | 400  | 1.6796          |
| 1.8056        | 0.0569 | 420  | 1.6777          |
| 1.7423        | 0.0596 | 440  | 1.6780          |
| 1.8971        | 0.0623 | 460  | 1.6782          |
| 1.8234        | 0.0650 | 480  | 1.6771          |
| 1.8978        | 0.0677 | 500  | 1.6759          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0