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NusaBERT-base-EmoT
LazarusNLP/NusaBERT-base-EmoT
NusaBERT-base-EmoT 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
- a52777bd
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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-EmoT
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: 0.7778
- F1: 0.761
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 | 111 | 1.2158 | 0.5511 |
| No log | 2.0 | 222 | 0.8299 | 0.6929 |
| No log | 3.0 | 333 | 0.7713 | 0.7324 |
| No log | 4.0 | 444 | 0.7383 | 0.7431 |
| 0.8834 | 5.0 | 555 | 0.7813 | 0.7261 |
| 0.8834 | 6.0 | 666 | 0.7781 | 0.7591 |
| 0.8834 | 7.0 | 777 | 0.8360 | 0.7375 |
| 0.8834 | 8.0 | 888 | 0.8802 | 0.7287 |
| 0.8834 | 9.0 | 999 | 0.9192 | 0.7474 |
| 0.2881 | 10.0 | 1110 | 1.0433 | 0.733 |
| 0.2881 | 11.0 | 1221 | 1.0686 | 0.7277 |
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