---
base_model: NousResearch/Meta-Llama-3.1-8B-Instruct
datasets:
- generator
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama381binstruct_summarize_short
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama381binstruct_summarize_short

This model is a fine-tuned version of [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5714

## 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: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.7592        | 1.3889  | 25   | 1.5098          |
| 0.7167        | 2.7778  | 50   | 1.5089          |
| 0.4127        | 4.1667  | 75   | 1.7655          |
| 0.0811        | 5.5556  | 100  | 2.0770          |
| 0.0501        | 6.9444  | 125  | 2.2019          |
| 0.0184        | 8.3333  | 150  | 2.2421          |
| 0.0268        | 9.7222  | 175  | 2.1572          |
| 0.0206        | 11.1111 | 200  | 2.2244          |
| 0.0085        | 12.5    | 225  | 2.3922          |
| 0.0056        | 13.8889 | 250  | 2.3233          |
| 0.0032        | 15.2778 | 275  | 2.4017          |
| 0.0021        | 16.6667 | 300  | 2.4708          |
| 0.0021        | 18.0556 | 325  | 2.5064          |
| 0.0014        | 19.4444 | 350  | 2.5270          |
| 0.0016        | 20.8333 | 375  | 2.5422          |
| 0.0014        | 22.2222 | 400  | 2.5534          |
| 0.002         | 23.6111 | 425  | 2.5619          |
| 0.0015        | 25.0    | 450  | 2.5669          |
| 0.0013        | 26.3889 | 475  | 2.5706          |
| 0.0012        | 27.7778 | 500  | 2.5714          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1