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stunting-medsos-sentiment
hiseulgi/stunting-medsos-sentiment
stunting-medsos-sentiment is a text classification model from hiseulgi. 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
- Jul 10, 2024
- Updated
- Jul 10, 2024
- SHA
- 97d0bc58
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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. -->
stunting-medsos-sentiment
This model is a fine-tuned version of ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9685
- Accuracy: 0.8360
- Precision: 0.7971
- Recall: 0.7985
- F1: 0.7976
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: 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 314 | 0.5221 | 0.8105 | 0.7868 | 0.7345 | 0.7517 |
| 0.5607 | 2.0 | 628 | 0.6322 | 0.8296 | 0.7991 | 0.7670 | 0.7794 |
| 0.5607 | 3.0 | 942 | 0.9147 | 0.8201 | 0.7929 | 0.7655 | 0.7731 |
| 0.2289 | 4.0 | 1256 | 0.9736 | 0.8296 | 0.7929 | 0.7990 | 0.7957 |
| 0.0597 | 5.0 | 1570 | 0.9685 | 0.8360 | 0.7971 | 0.7985 | 0.7976 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 10, 2024
- Updated
- Jul 10, 2024