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tinybert-javanese

This model is a fine-tuned version of on the akahana/GlotCC-V1-jav-Latn-content-only default dataset. It achieves the following results on the evaluation set:

  • Loss: 6.2427
  • Accuracy: 0.1400

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 30.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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Dataset used to train akahana/tinybert-javanese

Evaluation results

  • Accuracy on akahana/GlotCC-V1-jav-Latn-content-only default
    self-reported
    0.140