---
base_model: zeon8985army/IndonesiaLukasLargeV3
datasets:
- '-'
language:
- id
library_name: peft
tags:
- id-asr-leaderboard
- generated_from_trainer
model-index:
- name: zeon8985army/IndonesiaLukasLargeV3-2
  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. -->

# zeon8985army/IndonesiaLukasLargeV3-2

This model is a fine-tuned version of [zeon8985army/IndonesiaLukasLargeV3-2](https://huggingface.co/zeon8985army/IndonesiaLukasLargeV3-2) on the Mozilla & GoogleFleur dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1613

## 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: 6e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 12
- training_steps: 552
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2396        | 0.0785 | 23   | 0.2246          |
| 0.2199        | 0.1570 | 46   | 0.2234          |
| 0.1963        | 0.2355 | 69   | 0.2176          |
| 0.206         | 0.3140 | 92   | 0.2117          |
| 0.1755        | 0.3925 | 115  | 0.1899          |
| 0.1713        | 0.4710 | 138  | 0.2041          |
| 0.2126        | 0.5495 | 161  | 0.1806          |
| 0.1778        | 0.6280 | 184  | 0.1787          |
| 0.1646        | 0.7065 | 207  | 0.1767          |
| 0.1674        | 0.7850 | 230  | 0.1746          |
| 0.1545        | 0.8635 | 253  | 0.1725          |
| 0.1742        | 0.9420 | 276  | 0.1708          |
| 0.1434        | 1.0205 | 299  | 0.1687          |
| 0.15          | 1.0990 | 322  | 0.1679          |
| 0.1374        | 1.1775 | 345  | 0.1671          |
| 0.136         | 1.2560 | 368  | 0.1650          |
| 0.1407        | 1.3345 | 391  | 0.1642          |
| 0.153         | 1.4130 | 414  | 0.1629          |
| 0.1505        | 1.4915 | 437  | 0.1632          |
| 0.1543        | 1.5700 | 460  | 0.1624          |
| 0.1394        | 1.6485 | 483  | 0.1616          |
| 0.1255        | 1.7270 | 506  | 0.1617          |
| 0.1342        | 1.8055 | 529  | 0.1613          |
| 0.1459        | 1.8840 | 552  | 0.1613          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1