---
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_cola_1757340184
  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_cola_1757340184

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 cola dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9521
- Num Input Tokens Seen: 6929680

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.1268        | 1.0   | 3848  | 0.2820          | 346872            |
| 0.3132        | 2.0   | 7696  | 0.2417          | 693752            |
| 0.2179        | 3.0   | 11544 | 0.2405          | 1040128           |
| 0.2649        | 4.0   | 15392 | 0.2411          | 1386696           |
| 0.2187        | 5.0   | 19240 | 0.2434          | 1733072           |
| 0.1872        | 6.0   | 23088 | 0.2394          | 2079640           |
| 0.2849        | 7.0   | 26936 | 0.2419          | 2425920           |
| 0.1858        | 8.0   | 30784 | 0.2366          | 2772144           |
| 0.2726        | 9.0   | 34632 | 0.2393          | 3118472           |
| 0.2241        | 10.0  | 38480 | 0.2438          | 3465288           |
| 0.2284        | 11.0  | 42328 | 0.2862          | 3811696           |
| 0.0849        | 12.0  | 46176 | 0.2743          | 4158168           |
| 0.1104        | 13.0  | 50024 | 0.3264          | 4504416           |
| 0.1854        | 14.0  | 53872 | 0.3800          | 4850888           |
| 0.1511        | 15.0  | 57720 | 0.4422          | 5197456           |
| 0.0483        | 16.0  | 61568 | 0.5154          | 5543848           |
| 0.1082        | 17.0  | 65416 | 0.6811          | 5890320           |
| 0.2789        | 18.0  | 69264 | 0.7981          | 6237200           |
| 0.3151        | 19.0  | 73112 | 0.9202          | 6583408           |
| 0.0006        | 20.0  | 76960 | 0.9521          | 6929680           |


### Framework versions

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