---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_piqa_456_1765404385
  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_456_1765404385

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: 0.2310
- Num Input Tokens Seen: 44177928

## 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: 0.03
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.2295        | 1.0   | 3626  | 0.2317          | 2208216           |
| 0.2319        | 2.0   | 7252  | 0.2316          | 4420664           |
| 0.2317        | 3.0   | 10878 | 0.2311          | 6629696           |
| 0.228         | 4.0   | 14504 | 0.2317          | 8840800           |
| 0.232         | 5.0   | 18130 | 0.2317          | 11045752          |
| 0.2319        | 6.0   | 21756 | 0.2312          | 13254840          |
| 0.2383        | 7.0   | 25382 | 0.2312          | 15458512          |
| 0.2329        | 8.0   | 29008 | 0.2314          | 17666816          |
| 0.2299        | 9.0   | 32634 | 0.2314          | 19878664          |
| 0.233         | 10.0  | 36260 | 0.2310          | 22082280          |
| 0.2254        | 11.0  | 39886 | 0.2310          | 24300584          |
| 0.2281        | 12.0  | 43512 | 0.2310          | 26515920          |
| 0.226         | 13.0  | 47138 | 0.2317          | 28721912          |
| 0.2289        | 14.0  | 50764 | 0.2314          | 30927016          |
| 0.2304        | 15.0  | 54390 | 0.2314          | 33135160          |
| 0.2306        | 16.0  | 58016 | 0.2312          | 35347688          |
| 0.2343        | 17.0  | 61642 | 0.2314          | 37560560          |
| 0.2283        | 18.0  | 65268 | 0.2315          | 39771536          |
| 0.2357        | 19.0  | 68894 | 0.2310          | 41974792          |
| 0.2315        | 20.0  | 72520 | 0.2313          | 44177928          |


### Framework versions

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