---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- p-tuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_456_1765235666
  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_1765235666

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: 8.1253
- 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: 0.001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.5233        | 1.0   | 1908  | 0.4729          | 1246832           |
| 0.5393        | 2.0   | 3816  | 0.4684          | 2497936           |
| 0.4665        | 3.0   | 5724  | 0.4608          | 3743760           |
| 0.4402        | 4.0   | 7632  | 0.4560          | 4991472           |
| 1.0149        | 5.0   | 9540  | 0.4551          | 6239608           |
| 0.4209        | 6.0   | 11448 | 0.4515          | 7485248           |
| 0.6452        | 7.0   | 13356 | 0.4506          | 8733024           |
| 0.6306        | 8.0   | 15264 | 0.4495          | 9983720           |
| 0.367         | 9.0   | 17172 | 0.4497          | 11229792          |
| 0.4111        | 10.0  | 19080 | 0.4492          | 12476552          |
| 0.4192        | 11.0  | 20988 | 0.4500          | 13725560          |
| 0.453         | 12.0  | 22896 | 0.4507          | 14977976          |
| 0.4087        | 13.0  | 24804 | 0.4503          | 16225896          |
| 0.5087        | 14.0  | 26712 | 0.4510          | 17477224          |
| 0.4207        | 15.0  | 28620 | 0.4529          | 18726216          |
| 0.3203        | 16.0  | 30528 | 0.4537          | 19973408          |
| 0.3979        | 17.0  | 32436 | 0.4543          | 21226656          |
| 0.4305        | 18.0  | 34344 | 0.4551          | 22472696          |
| 0.4425        | 19.0  | 36252 | 0.4555          | 23722376          |
| 0.7746        | 20.0  | 38160 | 0.4553          | 24973864          |


### Framework versions

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