---
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_42_1760664611
  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_42_1760664611

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: 0.6779
- Num Input Tokens Seen: 24887720

## 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: 42
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.4991        | 1.0   | 1908  | 0.4799          | 1243048           |
| 0.3548        | 2.0   | 3816  | 0.4697          | 2489456           |
| 0.4295        | 3.0   | 5724  | 0.4684          | 3733736           |
| 0.515         | 4.0   | 7632  | 0.4609          | 4976128           |
| 0.5856        | 5.0   | 9540  | 0.4563          | 6219592           |
| 0.5946        | 6.0   | 11448 | 0.4549          | 7467968           |
| 0.4937        | 7.0   | 13356 | 0.4562          | 8709168           |
| 0.4793        | 8.0   | 15264 | 0.4539          | 9958360           |
| 0.4566        | 9.0   | 17172 | 0.4536          | 11204000          |
| 0.4859        | 10.0  | 19080 | 0.4540          | 12446408          |
| 0.3744        | 11.0  | 20988 | 0.4555          | 13691904          |
| 0.4353        | 12.0  | 22896 | 0.4597          | 14937216          |
| 0.5904        | 13.0  | 24804 | 0.4587          | 16179624          |
| 0.3804        | 14.0  | 26712 | 0.4592          | 17425368          |
| 0.3276        | 15.0  | 28620 | 0.4626          | 18668536          |
| 0.458         | 16.0  | 30528 | 0.4635          | 19916008          |
| 0.2553        | 17.0  | 32436 | 0.4646          | 21158120          |
| 0.4614        | 18.0  | 34344 | 0.4666          | 22400368          |
| 0.402         | 19.0  | 36252 | 0.4667          | 23645440          |
| 0.301         | 20.0  | 38160 | 0.4669          | 24887720          |


### Framework versions

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