metadata
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: []
zeon8985army/IndonesiaLukasLargeV3_3
This model is a fine-tuned version of 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