---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_codealpacapy_123_1762546585
  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_1762546585

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: 0.4692
- 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: 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.5856        | 1.0   | 1908  | 0.4838          | 1248304           |
| 0.4289        | 2.0   | 3816  | 0.4704          | 2497016           |
| 0.4096        | 3.0   | 5724  | 0.4692          | 3742552           |
| 0.3453        | 4.0   | 7632  | 0.4742          | 4985200           |
| 0.406         | 5.0   | 9540  | 0.4919          | 6233920           |
| 0.3266        | 6.0   | 11448 | 0.5208          | 7478504           |
| 0.2651        | 7.0   | 13356 | 0.5637          | 8722744           |
| 0.4997        | 8.0   | 15264 | 0.6324          | 9977520           |
| 0.1853        | 9.0   | 17172 | 0.7039          | 11225416          |
| 0.2099        | 10.0  | 19080 | 0.8089          | 12472912          |
| 0.1702        | 11.0  | 20988 | 0.8917          | 13721824          |
| 0.0829        | 12.0  | 22896 | 1.0327          | 14970528          |
| 0.0673        | 13.0  | 24804 | 1.1541          | 16220808          |
| 0.0278        | 14.0  | 26712 | 1.2787          | 17464792          |
| 0.0165        | 15.0  | 28620 | 1.3870          | 18706976          |
| 0.0066        | 16.0  | 30528 | 1.4610          | 19956544          |
| 0.0083        | 17.0  | 32436 | 1.5147          | 21204416          |
| 0.0047        | 18.0  | 34344 | 1.5930          | 22451928          |
| 0.0037        | 19.0  | 36252 | 1.6185          | 23696296          |
| 0.0408        | 20.0  | 38160 | 1.6300          | 24941912          |


### Framework versions

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