---
base_model: zeon8985army/IndonesiaLukasLargeV3_2
datasets:
- '-'
language:
- id
library_name: peft
tags:
- id-asr-leaderboard
- generated_from_trainer
model-index:
- name: zeon8985army/IndonesiaLukasLargeV3_3
  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_3

This model is a fine-tuned version of [zeon8985army/IndonesiaLukasLargeV3_3](https://huggingface.co/zeon8985army/IndonesiaLukasLargeV3_3) on the Mozilla & GoogleFleur dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1630

## 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: 585
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1375        | 0.1047 | 36   | 0.1698          |
| 0.1478        | 0.2093 | 72   | 0.1691          |
| 0.1443        | 0.3140 | 108  | 0.1684          |
| 0.1428        | 0.4186 | 144  | 0.1679          |
| 0.1339        | 0.5233 | 180  | 0.1675          |
| 0.1442        | 0.6279 | 216  | 0.1666          |
| 0.1473        | 0.7326 | 252  | 0.1666          |
| 0.1372        | 0.8372 | 288  | 0.1662          |
| 0.1585        | 0.9419 | 324  | 0.1650          |
| 0.1356        | 1.0465 | 360  | 0.1642          |
| 0.1402        | 1.1512 | 396  | 0.1639          |
| 0.1245        | 1.2558 | 432  | 0.1627          |
| 0.1231        | 1.3605 | 468  | 0.1635          |
| 0.1345        | 1.4651 | 504  | 0.1631          |
| 0.1256        | 1.5698 | 540  | 0.1636          |
| 0.1426        | 1.6744 | 576  | 0.1630          |


### Framework versions

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