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zeon8985army/IndonesiaLukasLargeV3_higherLR

This model is a fine-tuned version of zeon8985army/IndonesiaLukasLargeV3_higherLR on the Mozilla & GoogleFleur dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1587

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: 0.001
  • 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: 50
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.389 0.2907 100 0.2098
0.1724 0.5814 200 0.1748
0.147 0.8721 300 0.1587

Framework versions

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