metadata
license: apache-2.0
base_model: tohoku-nlp/bert-base-japanese-v3
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gigazine-labeling
results: []
gigazine-labeling
This model is a fine-tuned version of tohoku-nlp/bert-base-japanese-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3062
- Accuracy: 0.623
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: 5e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.4089 | 1.0 | 125 | 1.5892 | 0.551 |
| 1.2661 | 2.0 | 250 | 1.3291 | 0.601 |
| 0.6811 | 3.0 | 375 | 1.3062 | 0.623 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1