Downloads · 30 days
4
1% of all-time downloads
mBERT-IndoSQuADv2_1691743731-8-2e-05-0.01-5
rizquuula/mBERT-IndoSQuADv2_1691743731-8-2e-05-0.01-5
mBERT-IndoSQuADv2_1691743731-8-2e-05-0.01-5 is a question answering model from rizquuula. 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
273
Public
Repo size
4.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin709 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 11, 2023
- Updated
- Aug 11, 2023
- SHA
- 25ebba29
Try a prompt
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. -->
mBERT-IndoSQuADv2_1691743731-8-2e-05-0.01-5
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4830
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8424 | 1.0 | 16290 | 1.8481 |
| 1.3688 | 2.0 | 32580 | 1.8686 |
| 1.0558 | 3.0 | 48870 | 1.9955 |
| 0.8048 | 4.0 | 65160 | 2.2597 |
| 0.6203 | 5.0 | 81450 | 2.4830 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 11, 2023
- Updated
- Aug 11, 2023