---
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_456_1765305198
  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_456_1765305198

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: 0.4399
- Num Input Tokens Seen: 24973864

## 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: 456
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.4909        | 1.0   | 1908  | 0.4533          | 1246832           |
| 0.5107        | 2.0   | 3816  | 0.4463          | 2497936           |
| 0.4271        | 3.0   | 5724  | 0.4399          | 3743760           |
| 0.3778        | 4.0   | 7632  | 0.4473          | 4991472           |
| 0.9067        | 5.0   | 9540  | 0.4627          | 6239608           |
| 0.2917        | 6.0   | 11448 | 0.4996          | 7485248           |
| 0.4214        | 7.0   | 13356 | 0.5415          | 8733024           |
| 0.3429        | 8.0   | 15264 | 0.5936          | 9983720           |
| 0.1361        | 9.0   | 17172 | 0.6715          | 11229792          |
| 0.1287        | 10.0  | 19080 | 0.7588          | 12476552          |
| 0.0863        | 11.0  | 20988 | 0.8549          | 13725560          |
| 0.0963        | 12.0  | 22896 | 0.9736          | 14977976          |
| 0.0586        | 13.0  | 24804 | 1.0952          | 16225896          |
| 0.0351        | 14.0  | 26712 | 1.2337          | 17477224          |
| 0.013         | 15.0  | 28620 | 1.3411          | 18726216          |
| 0.0066        | 16.0  | 30528 | 1.4384          | 19973408          |
| 0.0078        | 17.0  | 32436 | 1.5158          | 21226656          |
| 0.0046        | 18.0  | 34344 | 1.5550          | 22472696          |
| 0.0027        | 19.0  | 36252 | 1.5828          | 23722376          |
| 0.0136        | 20.0  | 38160 | 1.5947          | 24973864          |


### Framework versions

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