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electra-based-ja-fc-classifier

This model is a fine-tuned version of megagonlabs/transformers-ud-japanese-electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1861
  • Accuracy: 0.9414

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: 3.38340974405913e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: tpu
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.3593 1.0 1223 0.2104 0.9160
0.2137 2.0 2446 0.1861 0.9414
0.1187 3.0 3669 0.2379 0.9355

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0
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