metadata
license: cc-by-sa-4.0
base_model: cl-tohoku/bert-base-japanese
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-japanese-ghost_rate-weighted
results: []
bert-base-japanese-ghost_rate-weighted
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: 1.7735
- Accuracy: 0.4195
- F1: 0.4186
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|---|
| No log | 0.9977 | 220 | 1.5524 | 0.3651 | 0.3644 |
| No log | 2.0 | 441 | 1.5018 | 0.3781 | 0.3761 |
| 1.5438 | 2.9977 | 661 | 1.5367 | 0.3934 | 0.3832 |
| 1.5438 | 4.0 | 882 | 1.5724 | 0.4019 | 0.4042 |
| 1.1647 | 4.9977 | 1102 | 1.6488 | 0.4093 | 0.4115 |
| 1.1647 | 6.0 | 1323 | 1.7250 | 0.4138 | 0.4176 |
| 0.8864 | 6.9977 | 1543 | 1.7735 | 0.4195 | 0.4186 |
| 0.8864 | 8.0 | 1764 | 1.8372 | 0.4138 | 0.4161 |
| 0.8864 | 8.9977 | 1984 | 1.8975 | 0.4150 | 0.4133 |
| 0.6978 | 9.9773 | 2200 | 1.8925 | 0.4127 | 0.4146 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1