---
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_101112_1770438262
  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_101112_1770438262

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: 2.6960
- Num Input Tokens Seen: 24913312

## 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: 101112
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.6502        | 1.0   | 1908  | 0.5047          | 1245424           |
| 0.5121        | 2.0   | 3816  | 0.4964          | 2489840           |
| 0.4514        | 3.0   | 5724  | 0.4886          | 3736568           |
| 0.4348        | 4.0   | 7632  | 0.4900          | 4984176           |
| 0.4158        | 5.0   | 9540  | 0.4862          | 6229240           |
| 0.4036        | 6.0   | 11448 | 0.4906          | 7476480           |
| 0.425         | 7.0   | 13356 | 0.4846          | 8722408           |
| 0.4785        | 8.0   | 15264 | 0.4832          | 9967176           |
| 0.3771        | 9.0   | 17172 | 0.4847          | 11214472          |
| 0.3931        | 10.0  | 19080 | 0.4845          | 12463312          |
| 0.5228        | 11.0  | 20988 | 0.4846          | 13708664          |
| 0.4694        | 12.0  | 22896 | 0.4867          | 14951560          |
| 0.471         | 13.0  | 24804 | 0.4856          | 16193456          |
| 0.4008        | 14.0  | 26712 | 0.4889          | 17439088          |
| 0.4933        | 15.0  | 28620 | 0.4885          | 18687760          |
| 0.3565        | 16.0  | 30528 | 0.4923          | 19936088          |
| 0.3716        | 17.0  | 32436 | 0.4926          | 21184936          |
| 0.3937        | 18.0  | 34344 | 0.4931          | 22429992          |
| 0.3256        | 19.0  | 36252 | 0.4940          | 23671264          |
| 0.3567        | 20.0  | 38160 | 0.4942          | 24913312          |


### Framework versions

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