---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_789_1767616167
  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_1767616167

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: 0.6284
- Num Input Tokens Seen: 21981320

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.6441        | 2.0   | 3392  | 0.5280          | 2199016           |
| 0.4641        | 4.0   | 6784  | 0.5045          | 4393784           |
| 0.4362        | 6.0   | 10176 | 0.5032          | 6595976           |
| 0.4142        | 8.0   | 13568 | 0.5134          | 8792592           |
| 0.2648        | 10.0  | 16960 | 0.5319          | 10994984          |
| 0.304         | 12.0  | 20352 | 0.5534          | 13192800          |
| 0.2875        | 14.0  | 23744 | 0.5814          | 15387192          |
| 0.4434        | 16.0  | 27136 | 0.6058          | 17580200          |
| 0.3317        | 18.0  | 30528 | 0.6231          | 19780824          |
| 0.2477        | 20.0  | 33920 | 0.6284          | 21981320          |


### Framework versions

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