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---
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 |