---
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_42_1760719585
  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_42_1760719585

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: 0.4525
- Num Input Tokens Seen: 24887720

## 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: 42
- 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.5784        | 1.0   | 1908  | 0.5529          | 1243048           |
| 0.3809        | 2.0   | 3816  | 0.4983          | 2489456           |
| 0.4314        | 3.0   | 5724  | 0.4791          | 3733736           |
| 0.5146        | 4.0   | 7632  | 0.4709          | 4976128           |
| 0.5703        | 5.0   | 9540  | 0.4652          | 6219592           |
| 0.616         | 6.0   | 11448 | 0.4614          | 7467968           |
| 0.487         | 7.0   | 13356 | 0.4585          | 8709168           |
| 0.4804        | 8.0   | 15264 | 0.4569          | 9958360           |
| 0.4684        | 9.0   | 17172 | 0.4552          | 11204000          |
| 0.4914        | 10.0  | 19080 | 0.4542          | 12446408          |
| 0.3796        | 11.0  | 20988 | 0.4539          | 13691904          |
| 0.4404        | 12.0  | 22896 | 0.4535          | 14937216          |
| 0.6154        | 13.0  | 24804 | 0.4534          | 16179624          |
| 0.4073        | 14.0  | 26712 | 0.4528          | 17425368          |
| 0.3595        | 15.0  | 28620 | 0.4529          | 18668536          |
| 0.4605        | 16.0  | 30528 | 0.4528          | 19916008          |
| 0.2781        | 17.0  | 32436 | 0.4528          | 21158120          |
| 0.4609        | 18.0  | 34344 | 0.4528          | 22400368          |
| 0.4204        | 19.0  | 36252 | 0.4525          | 23645440          |
| 0.3394        | 20.0  | 38160 | 0.4527          | 24887720          |


### Framework versions

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