---
license: llama3
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: shawgpt-ft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# shawgpt-ft

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1847

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2637        | 0.9992 | 652  | 1.1808          |
| 1.142         | 2.0    | 1305 | 1.1452          |
| 1.0811        | 2.9992 | 1957 | 1.1300          |
| 1.0268        | 4.0    | 2610 | 1.1262          |
| 0.9815        | 4.9992 | 3262 | 1.1269          |
| 0.9389        | 6.0    | 3915 | 1.1323          |
| 0.9061        | 6.9992 | 4567 | 1.1498          |
| 0.8749        | 8.0    | 5220 | 1.1575          |
| 0.8523        | 8.9992 | 5872 | 1.1676          |
| 0.8351        | 9.9923 | 6520 | 1.1847          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1