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NusaBERT-base-SmSA
LazarusNLP/NusaBERT-base-SmSA
NusaBERT-base-SmSA is a text classification model from LazarusNLP. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Feb 22, 2024
- Updated
- Feb 22, 2024
- SHA
- 49a98582
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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. -->
NusaBERT-base-SmSA
This model is a fine-tuned version of LazarusNLP/NusaBERT-base on the indonlu dataset. It achieves the following results on the evaluation set:
- Loss: 0.2992
- F1: 0.8746
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 344 | 0.2119 | 0.895 |
| 0.3517 | 2.0 | 688 | 0.1745 | 0.9193 |
| 0.1543 | 3.0 | 1032 | 0.1945 | 0.9135 |
| 0.1543 | 4.0 | 1376 | 0.1901 | 0.9149 |
| 0.1006 | 5.0 | 1720 | 0.2158 | 0.9172 |
| 0.0652 | 6.0 | 2064 | 0.2796 | 0.9151 |
| 0.0652 | 7.0 | 2408 | 0.3146 | 0.9164 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Feb 22, 2024
- Updated
- Feb 22, 2024