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indobert-smsa_doc-finetuned
andikazf15/indobert-smsa_doc-finetuned
indobert-smsa_doc-finetuned is a text classification model from andikazf15. 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
- Oct 5, 2024
- Updated
- Oct 6, 2024
- SHA
- 398ade66
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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. -->
indobert-smsa_doc-finetuned
This model is a fine-tuned version of indobenchmark/indobert-base-p2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7818
- Precision: 0.9405
- F1: 0.9405
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: 32
- eval_batch_size: 32
- 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 | Precision | F1 |
|---|---|---|---|---|---|
| 0.2174 | 1.0 | 2481 | 0.4282 | 0.9230 | 0.9230 |
| 0.0955 | 2.0 | 4962 | 0.7811 | 0.9405 | 0.9405 |
| 0.0435 | 3.0 | 7443 | 0.7818 | 0.9405 | 0.9405 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Oct 5, 2024
- Updated
- Oct 6, 2024