bert-base-japanese-ghost_rate
This model is a fine-tuned version of cl-tohoku/bert-base-japanese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8997
- Accuracy: 0.2234
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-07
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 441 | 1.8997 | 0.2234 |
| 1.9362 | 2.0 | 882 | 1.8844 | 0.2234 |
| 1.9011 | 3.0 | 1323 | 1.8772 | 0.2234 |
| 1.8889 | 4.0 | 1764 | 1.8714 | 0.2234 |
| 1.8829 | 5.0 | 2205 | 1.8672 | 0.2234 |
| 1.8777 | 6.0 | 2646 | 1.8631 | 0.2234 |
| 1.8761 | 7.0 | 3087 | 1.8601 | 0.2234 |
| 1.8705 | 8.0 | 3528 | 1.8576 | 0.2234 |
| 1.8705 | 9.0 | 3969 | 1.8561 | 0.2234 |
| 1.8678 | 10.0 | 4410 | 1.8556 | 0.2234 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for cwei13/bert-base-japanese-ghost_rate
Base model
tohoku-nlp/bert-base-japanese