---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lntuning
- generated_from_trainer
model-index:
- name: train_multirc_1753094164
  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_multirc_1753094164

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 multirc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1492
- Num Input Tokens Seen: 132272272

## 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: 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: 10.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.2959        | 0.5   | 3065  | 0.1770          | 6639424           |
| 0.1984        | 1.0   | 6130  | 0.1572          | 13255424          |
| 0.0889        | 1.5   | 9195  | 0.1520          | 19871232          |
| 0.1146        | 2.0   | 12260 | 0.1492          | 26471216          |
| 0.1268        | 2.5   | 15325 | 0.1545          | 33075856          |
| 0.1007        | 3.0   | 18390 | 0.1629          | 39694112          |
| 0.1521        | 3.5   | 21455 | 0.1603          | 46313216          |
| 0.006         | 4.0   | 24520 | 0.1501          | 52929744          |
| 0.3003        | 4.5   | 27585 | 0.1589          | 59549072          |
| 0.1177        | 5.0   | 30650 | 0.1592          | 66152480          |
| 0.0486        | 5.5   | 33715 | 0.1672          | 72765696          |
| 0.0755        | 6.0   | 36780 | 0.1772          | 79389648          |
| 0.0772        | 6.5   | 39845 | 0.1912          | 86008784          |
| 0.0286        | 7.0   | 42910 | 0.1884          | 92621824          |
| 0.1522        | 7.5   | 45975 | 0.1887          | 99237152          |
| 0.0034        | 8.0   | 49040 | 0.1856          | 105830544         |
| 0.0042        | 8.5   | 52105 | 0.1977          | 112458064         |
| 0.0036        | 9.0   | 55170 | 0.1930          | 119047920         |
| 0.1249        | 9.5   | 58235 | 0.1925          | 125686064         |
| 0.0941        | 10.0  | 61300 | 0.1924          | 132272272         |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1