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--- |
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base_model: zeon8985army/IndonesiaLukasLargeV3 |
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datasets: |
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- '-' |
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language: |
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- id |
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library_name: peft |
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tags: |
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- id-asr-leaderboard |
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- generated_from_trainer |
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model-index: |
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- name: zeon8985army/IndonesiaLukasLargeV3-2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# zeon8985army/IndonesiaLukasLargeV3-2 |
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This model is a fine-tuned version of [zeon8985army/IndonesiaLukasLargeV3-2](https://huggingface.co/zeon8985army/IndonesiaLukasLargeV3-2) on the Mozilla & GoogleFleur dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1613 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 12 |
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- training_steps: 552 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.2396 | 0.0785 | 23 | 0.2246 | |
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| 0.2199 | 0.1570 | 46 | 0.2234 | |
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| 0.1963 | 0.2355 | 69 | 0.2176 | |
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| 0.206 | 0.3140 | 92 | 0.2117 | |
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| 0.1755 | 0.3925 | 115 | 0.1899 | |
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| 0.1713 | 0.4710 | 138 | 0.2041 | |
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| 0.2126 | 0.5495 | 161 | 0.1806 | |
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| 0.1778 | 0.6280 | 184 | 0.1787 | |
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| 0.1646 | 0.7065 | 207 | 0.1767 | |
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| 0.1674 | 0.7850 | 230 | 0.1746 | |
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| 0.1545 | 0.8635 | 253 | 0.1725 | |
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| 0.1742 | 0.9420 | 276 | 0.1708 | |
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| 0.1434 | 1.0205 | 299 | 0.1687 | |
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| 0.15 | 1.0990 | 322 | 0.1679 | |
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| 0.1374 | 1.1775 | 345 | 0.1671 | |
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| 0.136 | 1.2560 | 368 | 0.1650 | |
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| 0.1407 | 1.3345 | 391 | 0.1642 | |
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| 0.153 | 1.4130 | 414 | 0.1629 | |
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| 0.1505 | 1.4915 | 437 | 0.1632 | |
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| 0.1543 | 1.5700 | 460 | 0.1624 | |
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| 0.1394 | 1.6485 | 483 | 0.1616 | |
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| 0.1255 | 1.7270 | 506 | 0.1617 | |
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| 0.1342 | 1.8055 | 529 | 0.1613 | |
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| 0.1459 | 1.8840 | 552 | 0.1613 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
