---
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
should probably proofread and complete it, then remove this comment. -->

# 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: 1.7418

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5296        | 1.25  | 25   | 1.0734          |
| 0.8156        | 2.5   | 50   | 1.1007          |
| 0.3921        | 3.75  | 75   | 1.2204          |
| 0.2148        | 5.0   | 100  | 1.3392          |
| 0.0884        | 6.25  | 125  | 1.4927          |
| 0.0355        | 7.5   | 150  | 1.5451          |
| 0.0284        | 8.75  | 175  | 1.6376          |
| 0.0164        | 10.0  | 200  | 1.5957          |
| 0.0139        | 11.25 | 225  | 1.6211          |
| 0.0051        | 12.5  | 250  | 1.5915          |
| 0.0042        | 13.75 | 275  | 1.6470          |
| 0.0054        | 15.0  | 300  | 1.6318          |
| 0.0047        | 16.25 | 325  | 1.6774          |
| 0.0031        | 17.5  | 350  | 1.6866          |
| 0.0018        | 18.75 | 375  | 1.7033          |
| 0.0022        | 20.0  | 400  | 1.7191          |
| 0.0021        | 21.25 | 425  | 1.7304          |
| 0.0018        | 22.5  | 450  | 1.7366          |
| 0.0017        | 23.75 | 475  | 1.7406          |
| 0.0018        | 25.0  | 500  | 1.7418          |


### Framework versions

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