---
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_789_1767650456
  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_789_1767650456

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: 0.9208
- Num Input Tokens Seen: 24964664

## 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: 789
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.5727        | 1.0   | 1908  | 0.5040          | 1246616           |
| 0.4818        | 2.0   | 3816  | 0.4911          | 2496088           |
| 0.4558        | 3.0   | 5724  | 0.4849          | 3746728           |
| 0.587         | 4.0   | 7632  | 0.4801          | 4999712           |
| 0.4584        | 5.0   | 9540  | 0.4774          | 6245072           |
| 0.5131        | 6.0   | 11448 | 0.4759          | 7491776           |
| 0.4679        | 7.0   | 13356 | 0.4737          | 8735728           |
| 0.4536        | 8.0   | 15264 | 0.4751          | 9981168           |
| 0.5711        | 9.0   | 17172 | 0.4765          | 11227560          |
| 0.4537        | 10.0  | 19080 | 0.4763          | 12474576          |
| 0.3392        | 11.0  | 20988 | 0.4757          | 13719896          |
| 0.5766        | 12.0  | 22896 | 0.4785          | 14970024          |
| 0.3798        | 13.0  | 24804 | 0.4776          | 16222408          |
| 0.5339        | 14.0  | 26712 | 0.4810          | 17474664          |
| 0.4884        | 15.0  | 28620 | 0.4835          | 18722440          |
| 0.3629        | 16.0  | 30528 | 0.4844          | 19970248          |
| 0.4764        | 17.0  | 32436 | 0.4862          | 21217120          |
| 0.3909        | 18.0  | 34344 | 0.4877          | 22462808          |
| 0.3584        | 19.0  | 36252 | 0.4880          | 23715264          |
| 0.6004        | 20.0  | 38160 | 0.4880          | 24964664          |


### Framework versions

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