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metadata
base_model: zeon8985army/IndonesiaLukasLargeV3
datasets:
  - '-'
language:
  - id
library_name: peft
tags:
  - id-asr-leaderboard
  - generated_from_trainer
model-index:
  - name: zeon8985army/IndonesiaLukasLargeV3-2
    results: []

zeon8985army/IndonesiaLukasLargeV3-2

This model is a fine-tuned version of 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