---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- p-tuning
- generated_from_trainer
model-index:
- name: train_piqa_123_1762657736
  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_piqa_123_1762657736

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 piqa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2335
- Num Input Tokens Seen: 44193480

## 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: 0.001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.2309        | 1.0   | 3626  | 0.2313          | 2216600           |
| 0.2301        | 2.0   | 7252  | 0.2324          | 4419000           |
| 0.2325        | 3.0   | 10878 | 0.2316          | 6628280           |
| 0.2325        | 4.0   | 14504 | 0.2313          | 8844408           |
| 0.2315        | 5.0   | 18130 | 0.2315          | 11048200          |
| 0.2289        | 6.0   | 21756 | 0.2316          | 13257624          |
| 0.2334        | 7.0   | 25382 | 0.2314          | 15468632          |
| 0.2302        | 8.0   | 29008 | 0.2315          | 17678024          |
| 0.2308        | 9.0   | 32634 | 0.2315          | 19894712          |
| 0.2312        | 10.0  | 36260 | 0.2318          | 22103448          |
| 0.239         | 11.0  | 39886 | 0.2323          | 24314040          |
| 0.2355        | 12.0  | 43512 | 0.2325          | 26522184          |
| 0.2098        | 13.0  | 47138 | 0.2338          | 28731152          |
| 0.2307        | 14.0  | 50764 | 0.2360          | 30934032          |
| 0.2381        | 15.0  | 54390 | 0.2360          | 33147696          |
| 0.2294        | 16.0  | 58016 | 0.2366          | 35360272          |
| 0.2106        | 17.0  | 61642 | 0.2378          | 37574896          |
| 0.2123        | 18.0  | 65268 | 0.2382          | 39772600          |
| 0.1992        | 19.0  | 68894 | 0.2387          | 41981688          |
| 0.2025        | 20.0  | 72520 | 0.2389          | 44193480          |


### Framework versions

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