---
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_456_1765320135
  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_1765320135

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: 0.4469
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.6003        | 1.0   | 1908  | 0.5420          | 1246832           |
| 0.562         | 2.0   | 3816  | 0.4901          | 2497936           |
| 0.4684        | 3.0   | 5724  | 0.4709          | 3743760           |
| 0.4606        | 4.0   | 7632  | 0.4625          | 4991472           |
| 1.1977        | 5.0   | 9540  | 0.4581          | 6239608           |
| 0.4325        | 6.0   | 11448 | 0.4543          | 7485248           |
| 0.6624        | 7.0   | 13356 | 0.4522          | 8733024           |
| 0.6294        | 8.0   | 15264 | 0.4506          | 9983720           |
| 0.3541        | 9.0   | 17172 | 0.4490          | 11229792          |
| 0.3995        | 10.0  | 19080 | 0.4484          | 12476552          |
| 0.4189        | 11.0  | 20988 | 0.4486          | 13725560          |
| 0.4387        | 12.0  | 22896 | 0.4477          | 14977976          |
| 0.4162        | 13.0  | 24804 | 0.4474          | 16225896          |
| 0.4816        | 14.0  | 26712 | 0.4473          | 17477224          |
| 0.4314        | 15.0  | 28620 | 0.4472          | 18726216          |
| 0.316         | 16.0  | 30528 | 0.4469          | 19973408          |
| 0.3909        | 17.0  | 32436 | 0.4470          | 21226656          |
| 0.4489        | 18.0  | 34344 | 0.4469          | 22472696          |
| 0.4458        | 19.0  | 36252 | 0.4472          | 23722376          |
| 0.7972        | 20.0  | 38160 | 0.4471          | 24973864          |


### Framework versions

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