---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_42_1760638811
  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_1760638811

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: 0.4541
- 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: 0.03
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.4965        | 1.0   | 1908  | 0.4692          | 1243048           |
| 0.3516        | 2.0   | 3816  | 0.4636          | 2489456           |
| 0.4189        | 3.0   | 5724  | 0.4576          | 3733736           |
| 0.5105        | 4.0   | 7632  | 0.4567          | 4976128           |
| 0.5727        | 5.0   | 9540  | 0.4546          | 6219592           |
| 0.5876        | 6.0   | 11448 | 0.4546          | 7467968           |
| 0.4743        | 7.0   | 13356 | 0.4541          | 8709168           |
| 0.4622        | 8.0   | 15264 | 0.4543          | 9958360           |
| 0.4449        | 9.0   | 17172 | 0.4557          | 11204000          |
| 0.4562        | 10.0  | 19080 | 0.4582          | 12446408          |
| 0.3546        | 11.0  | 20988 | 0.4627          | 13691904          |
| 0.3935        | 12.0  | 22896 | 0.4697          | 14937216          |
| 0.5209        | 13.0  | 24804 | 0.4720          | 16179624          |
| 0.3421        | 14.0  | 26712 | 0.4755          | 17425368          |
| 0.2642        | 15.0  | 28620 | 0.4898          | 18668536          |
| 0.3709        | 16.0  | 30528 | 0.4946          | 19916008          |
| 0.1985        | 17.0  | 32436 | 0.5012          | 21158120          |
| 0.3645        | 18.0  | 34344 | 0.5048          | 22400368          |
| 0.3265        | 19.0  | 36252 | 0.5051          | 23645440          |
| 0.2443        | 20.0  | 38160 | 0.5052          | 24887720          |


### Framework versions

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