---
base_model: NousResearch/Meta-Llama-3.1-8B-Instruct
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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5277

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5011        | 25.0  | 25   | 3.0612          |
| 0.0019        | 50.0  | 50   | 4.5464          |
| 0.0002        | 75.0  | 75   | 4.6303          |
| 0.0001        | 100.0 | 100  | 4.6056          |
| 0.0001        | 125.0 | 125  | 4.5918          |
| 0.0001        | 150.0 | 150  | 4.5832          |
| 0.0001        | 175.0 | 175  | 4.5747          |
| 0.0001        | 200.0 | 200  | 4.5668          |
| 0.0001        | 225.0 | 225  | 4.5618          |
| 0.0           | 250.0 | 250  | 4.5547          |
| 0.0           | 275.0 | 275  | 4.5493          |
| 0.0           | 300.0 | 300  | 4.5446          |
| 0.0           | 325.0 | 325  | 4.5417          |
| 0.0           | 350.0 | 350  | 4.5371          |
| 0.0           | 375.0 | 375  | 4.5340          |
| 0.0           | 400.0 | 400  | 4.5326          |
| 0.0           | 425.0 | 425  | 4.5295          |
| 0.0           | 450.0 | 450  | 4.5290          |
| 0.0           | 475.0 | 475  | 4.5282          |
| 0.0           | 500.0 | 500  | 4.5277          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1