---
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: 2.9125

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.7217        | 1.3158  | 25   | 1.7570          |
| 0.6773        | 2.6316  | 50   | 1.7855          |
| 0.3713        | 3.9474  | 75   | 1.8944          |
| 0.1498        | 5.2632  | 100  | 2.2601          |
| 0.0738        | 6.5789  | 125  | 2.3539          |
| 0.0395        | 7.8947  | 150  | 2.4572          |
| 0.03          | 9.2105  | 175  | 2.4119          |
| 0.0179        | 10.5263 | 200  | 2.4960          |
| 0.0154        | 11.8421 | 225  | 2.5468          |
| 0.0054        | 13.1579 | 250  | 2.6392          |
| 0.0041        | 14.4737 | 275  | 2.7146          |
| 0.0027        | 15.7895 | 300  | 2.8038          |
| 0.003         | 17.1053 | 325  | 2.8446          |
| 0.0024        | 18.4211 | 350  | 2.8672          |
| 0.0019        | 19.7368 | 375  | 2.8810          |
| 0.0021        | 21.0526 | 400  | 2.8946          |
| 0.0021        | 22.3684 | 425  | 2.9023          |
| 0.0019        | 23.6842 | 450  | 2.9083          |
| 0.0018        | 25.0    | 475  | 2.9117          |
| 0.0017        | 26.3158 | 500  | 2.9125          |


### Framework versions

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