distilbert-base-multilingual-cased-JaQuAD
This model is a fine-tuned version of distilbert-base-multilingual-cased on the ja_qu_ad dataset. It achieves the following results on the evaluation set:
- Loss: 0.8854
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1814 | 1.0 | 1588 | 0.9811 |
| 0.8336 | 2.0 | 3176 | 0.8850 |
| 0.6443 | 3.0 | 4764 | 0.8854 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 7
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.