---
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_123_1762506128
  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_123_1762506128

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: 0.4728
- Num Input Tokens Seen: 24941912

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.5889        | 1.0   | 1908  | 0.4966          | 1248304           |
| 0.4331        | 2.0   | 3816  | 0.4844          | 2497016           |
| 0.4405        | 3.0   | 5724  | 0.4833          | 3742552           |
| 0.4097        | 4.0   | 7632  | 0.4753          | 4985200           |
| 0.4668        | 5.0   | 9540  | 0.4767          | 6233920           |
| 0.4781        | 6.0   | 11448 | 0.4731          | 7478504           |
| 0.4447        | 7.0   | 13356 | 0.4728          | 8722744           |
| 0.7575        | 8.0   | 15264 | 0.4755          | 9977520           |
| 0.4325        | 9.0   | 17172 | 0.4789          | 11225416          |
| 0.5884        | 10.0  | 19080 | 0.4832          | 12472912          |
| 0.5296        | 11.0  | 20988 | 0.4880          | 13721824          |
| 0.4288        | 12.0  | 22896 | 0.4906          | 14970528          |
| 0.5057        | 13.0  | 24804 | 0.4987          | 16220808          |
| 0.3346        | 14.0  | 26712 | 0.5085          | 17464792          |
| 0.328         | 15.0  | 28620 | 0.5197          | 18706976          |
| 0.2985        | 16.0  | 30528 | 0.5279          | 19956544          |
| 0.3145        | 17.0  | 32436 | 0.5337          | 21204416          |
| 0.3131        | 18.0  | 34344 | 0.5392          | 22451928          |
| 0.3053        | 19.0  | 36252 | 0.5407          | 23696296          |
| 0.5008        | 20.0  | 38160 | 0.5409          | 24941912          |


### Framework versions

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