---
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: 1.4158

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.6861        | 1.1905  | 25   | 0.9223          |
| 0.7859        | 2.3810  | 50   | 0.8779          |
| 0.3887        | 3.5714  | 75   | 0.9867          |
| 0.1412        | 4.7619  | 100  | 1.0822          |
| 0.0911        | 5.9524  | 125  | 1.2118          |
| 0.0391        | 7.1429  | 150  | 1.3553          |
| 0.0309        | 8.3333  | 175  | 1.2825          |
| 0.0188        | 9.5238  | 200  | 1.2512          |
| 0.0145        | 10.7143 | 225  | 1.2936          |
| 0.0091        | 11.9048 | 250  | 1.3109          |
| 0.0058        | 13.0952 | 275  | 1.2768          |
| 0.0042        | 14.2857 | 300  | 1.2963          |
| 0.0032        | 15.4762 | 325  | 1.3539          |
| 0.0021        | 16.6667 | 350  | 1.3810          |
| 0.0024        | 17.8571 | 375  | 1.3974          |
| 0.0021        | 19.0476 | 400  | 1.4047          |
| 0.002         | 20.2381 | 425  | 1.4103          |
| 0.0018        | 21.4286 | 450  | 1.4133          |
| 0.0017        | 22.6190 | 475  | 1.4152          |
| 0.0015        | 23.8095 | 500  | 1.4158          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1