---
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_123_1762496345
  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_123_1762496345

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: 0.6313
- Num Input Tokens Seen: 22139032

## 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: 123
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.6065        | 2.0   | 3392  | 0.5241          | 2216560           |
| 0.4471        | 4.0   | 6784  | 0.5017          | 4419816           |
| 0.5516        | 6.0   | 10176 | 0.5020          | 6632800           |
| 0.3557        | 8.0   | 13568 | 0.5099          | 8848168           |
| 0.4427        | 10.0  | 16960 | 0.5294          | 11063280          |
| 0.4077        | 12.0  | 20352 | 0.5488          | 13281912          |
| 0.2964        | 14.0  | 23744 | 0.5795          | 15500632          |
| 0.3286        | 16.0  | 27136 | 0.6075          | 17712104          |
| 0.3527        | 18.0  | 30528 | 0.6274          | 19926608          |
| 0.2493        | 20.0  | 33920 | 0.6313          | 22139032          |


### Framework versions

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