japanese-roberta-base-finetuned-wikitext2

This model is a fine-tuned version of rinna/japanese-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.2302

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 18 3.4128
No log 2.0 36 3.1374
No log 3.0 54 3.2285

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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Evaluation results