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firqaaa-indo-sentence-bert-base
daze-unlv/firqaaa-indo-sentence-bert-base
firqaaa-indo-sentence-bert-base is a multiple choice model from daze-unlv. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. 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. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 12, 2024
- Updated
- Mar 13, 2024
- SHA
- 137b73e8
Base models
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. -->
firqaaa-indo-sentence-bert-base
This model is a fine-tuned version of firqaaa/indo-sentence-bert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4549
- Accuracy: 0.3349
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: 64
- eval_batch_size: 64
- 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 | Accuracy |
|---|---|---|---|---|
| 1.34 | 1.0 | 2857 | 1.3546 | 0.3258 |
| 1.2482 | 2.0 | 5714 | 1.4019 | 0.3378 |
| 1.1038 | 3.0 | 8571 | 1.4549 | 0.3349 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 12, 2024
- Updated
- Mar 13, 2024