Downloads · 30 days
9
3% of all-time downloads
distilbert-base-ja-cased-JaQuAD
cuongtk2002/distilbert-base-ja-cased-JaQuAD
distilbert-base-ja-cased-JaQuAD is a question answering model from cuongtk2002. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
334
Public
Parameters
68.1M
272 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors272 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Dec 5, 2023
- Updated
- Dec 5, 2023
- SHA
- b5dd6cd4
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilbert-base-ja-cased-JaQuAD
This model is a fine-tuned version of line-corporation/line-distilbert-base-japanese on the ja_qu_ad dataset. It achieves the following results on the evaluation set:
- Loss: 1.7949
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 |
|---|---|---|---|
| 2.554 | 1.0 | 1588 | 2.1749 |
| 1.9802 | 2.0 | 3176 | 1.8883 |
| 1.7083 | 3.0 | 4764 | 1.7949 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 5, 2023
- Updated
- Dec 5, 2023