metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_80_10_10_v3
results: []
Zidan_model_output_80_10_10_v3
This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6777
- Accuracy: 0.7455
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 220 | 0.6662 | 0.7636 |
| No log | 2.0 | 440 | 0.6709 | 0.7545 |
| 0.6918 | 3.0 | 660 | 0.9846 | 0.7545 |
| 0.6918 | 4.0 | 880 | 1.1782 | 0.7364 |
| 0.277 | 5.0 | 1100 | 1.5201 | 0.7455 |
| 0.277 | 6.0 | 1320 | 1.5724 | 0.7364 |
| 0.0809 | 7.0 | 1540 | 1.5310 | 0.7364 |
| 0.0809 | 8.0 | 1760 | 1.6199 | 0.7455 |
| 0.0809 | 9.0 | 1980 | 1.6281 | 0.7545 |
| 0.0375 | 10.0 | 2200 | 1.5576 | 0.7545 |
| 0.0375 | 11.0 | 2420 | 1.6472 | 0.7455 |
| 0.0223 | 12.0 | 2640 | 1.6777 | 0.7455 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1