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
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Intended uses & limitations
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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
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Model tree for andikazf15/indobert-smsa_doc-finetuned
Base model
indobenchmark/indobert-base-p2