---
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_456_1765199214
  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_456_1765199214

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: 0.6115
- Num Input Tokens Seen: 22326528

## 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: 456
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.39          | 2.0   | 3392  | 0.5126          | 2240840           |
| 0.4011        | 4.0   | 6784  | 0.4946          | 4476776           |
| 0.6057        | 6.0   | 10176 | 0.4917          | 6712376           |
| 0.3139        | 8.0   | 13568 | 0.5016          | 8942288           |
| 0.4498        | 10.0  | 16960 | 0.5173          | 11175920          |
| 0.4502        | 12.0  | 20352 | 0.5455          | 13399864          |
| 0.2905        | 14.0  | 23744 | 0.5702          | 15636912          |
| 0.2389        | 16.0  | 27136 | 0.5845          | 17867032          |
| 0.3118        | 18.0  | 30528 | 0.6043          | 20098848          |
| 0.3651        | 20.0  | 33920 | 0.6115          | 22326528          |


### Framework versions

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