---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lntuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_1754507521
  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. -->

# train_codealpacapy_1754507521

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 codealpacapy dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4833
- Num Input Tokens Seen: 12472912

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 123
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.6575        | 0.5   | 954   | 0.6278          | 616992            |
| 0.6347        | 1.0   | 1908  | 0.5514          | 1248304           |
| 0.5265        | 1.5   | 2862  | 0.5263          | 1877040           |
| 0.4717        | 2.0   | 3816  | 0.5128          | 2497016           |
| 0.6225        | 2.5   | 4770  | 0.5046          | 3129368           |
| 0.4337        | 3.0   | 5724  | 0.4989          | 3742552           |
| 0.4868        | 3.5   | 6678  | 0.4947          | 4361944           |
| 0.4298        | 4.0   | 7632  | 0.4916          | 4985200           |
| 0.5116        | 4.5   | 8586  | 0.4893          | 5611760           |
| 0.494         | 5.0   | 9540  | 0.4879          | 6233920           |
| 0.4493        | 5.5   | 10494 | 0.4866          | 6849184           |
| 0.4835        | 6.0   | 11448 | 0.4856          | 7478504           |
| 0.3614        | 6.5   | 12402 | 0.4851          | 8083560           |
| 0.4523        | 7.0   | 13356 | 0.4842          | 8722744           |
| 0.4158        | 7.5   | 14310 | 0.4838          | 9345976           |
| 0.7811        | 8.0   | 15264 | 0.4836          | 9977520           |
| 0.2548        | 8.5   | 16218 | 0.4834          | 10604656          |
| 0.4824        | 9.0   | 17172 | 0.4833          | 11225416          |
| 0.3894        | 9.5   | 18126 | 0.4835          | 11845704          |
| 0.6659        | 10.0  | 19080 | 0.4833          | 12472912          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1