Downloads · 30 days
5
0% of all-time downloads
IndoBERT-ExamQA
sinu/IndoBERT-ExamQA
IndoBERT-ExamQA is a question answering model from sinu. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.9K
Public
Repo size
880 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin440 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Feb 26, 2023
- Updated
- Mar 20, 2023
- SHA
- 2b086e8c
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. -->
IndoBERT-ExamQA
This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8183
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: -
- train_batch_size: -
- eval_batch_size: -
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.395 | 1.0 | 8202 | 1.3536 |
| 1.1534 | 2.0 | 16404 | 1.4040 |
| 1.2816 | 2.0 | 32808 | 1.8183 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- id
- Created
- Feb 26, 2023
- Updated
- Mar 20, 2023