---
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: 2.5418

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.7346        | 1.1905  | 25   | 1.5509          |
| 0.876         | 2.3810  | 50   | 1.6489          |
| 0.3296        | 3.5714  | 75   | 1.7988          |
| 0.1572        | 4.7619  | 100  | 2.0011          |
| 0.0918        | 5.9524  | 125  | 2.1469          |
| 0.0518        | 7.1429  | 150  | 2.1057          |
| 0.0343        | 8.3333  | 175  | 2.1788          |
| 0.0133        | 9.5238  | 200  | 2.2228          |
| 0.01          | 10.7143 | 225  | 2.2292          |
| 0.0112        | 11.9048 | 250  | 2.2735          |
| 0.0073        | 13.0952 | 275  | 2.3250          |
| 0.0037        | 14.2857 | 300  | 2.3380          |
| 0.0028        | 15.4762 | 325  | 2.4173          |
| 0.0019        | 16.6667 | 350  | 2.4736          |
| 0.0019        | 17.8571 | 375  | 2.5015          |
| 0.0023        | 19.0476 | 400  | 2.5184          |
| 0.002         | 20.2381 | 425  | 2.5288          |
| 0.0015        | 21.4286 | 450  | 2.5356          |
| 0.0016        | 22.6190 | 475  | 2.5401          |
| 0.0013        | 23.8095 | 500  | 2.5418          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1