bert-base-japanese-whole-word-masking-finetuned
This model is a fine-tuned version of cl-tohoku/bert-base-japanese-whole-word-masking on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7457
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|
| 2.9789 | 1.0 | 2 | 1.7973 |
| 0.3371 | 2.0 | 4 | 0.3530 |
| 6.0381 | 3.0 | 6 | 1.8948 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3