---
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_1757340160
  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_1757340160

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: 0.2412
- Num Input Tokens Seen: 6927000

## 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: 42
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.2546        | 1.0   | 3848  | 0.2480          | 346040            |
| 0.1205        | 2.0   | 7696  | 0.2484          | 692368            |
| 0.2615        | 3.0   | 11544 | 0.2438          | 1039080           |
| 0.2572        | 4.0   | 15392 | 0.2436          | 1385192           |
| 0.2552        | 5.0   | 19240 | 0.2432          | 1731824           |
| 0.3358        | 6.0   | 23088 | 0.2496          | 2078408           |
| 0.2235        | 7.0   | 26936 | 0.2438          | 2424592           |
| 0.2903        | 8.0   | 30784 | 0.2476          | 2770768           |
| 0.2715        | 9.0   | 34632 | 0.2459          | 3117120           |
| 0.2141        | 10.0  | 38480 | 0.2748          | 3463336           |
| 0.2359        | 11.0  | 42328 | 0.2426          | 3809536           |
| 0.316         | 12.0  | 46176 | 0.2439          | 4155688           |
| 0.3199        | 13.0  | 50024 | 0.2455          | 4502336           |
| 0.2547        | 14.0  | 53872 | 0.2459          | 4848864           |
| 0.2146        | 15.0  | 57720 | 0.2422          | 5194640           |
| 0.3529        | 16.0  | 61568 | 0.2419          | 5541160           |
| 0.2237        | 17.0  | 65416 | 0.2437          | 5887864           |
| 0.3058        | 18.0  | 69264 | 0.2429          | 6234216           |
| 0.2963        | 19.0  | 73112 | 0.2419          | 6580528           |
| 0.3099        | 20.0  | 76960 | 0.2412          | 6927000           |


### Framework versions

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