metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_v9
results: []
Zidan_model_output_v9
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: 1.4760
- Accuracy: 0.8
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 248 | 0.6499 | 0.7818 |
| No log | 2.0 | 496 | 0.8322 | 0.7818 |
| 0.7366 | 3.0 | 744 | 0.7805 | 0.8 |
| 0.7366 | 4.0 | 992 | 1.1599 | 0.8182 |
| 0.4101 | 5.0 | 1240 | 0.8254 | 0.8727 |
| 0.4101 | 6.0 | 1488 | 0.9355 | 0.8364 |
| 0.1646 | 7.0 | 1736 | 0.7034 | 0.9091 |
| 0.1646 | 8.0 | 1984 | 0.8547 | 0.8545 |
| 0.0927 | 9.0 | 2232 | 1.2842 | 0.8182 |
| 0.0927 | 10.0 | 2480 | 1.2158 | 0.8364 |
| 0.0457 | 11.0 | 2728 | 1.2863 | 0.8182 |
| 0.0457 | 12.0 | 2976 | 1.4266 | 0.8182 |
| 0.0383 | 13.0 | 3224 | 1.4670 | 0.8182 |
| 0.0383 | 14.0 | 3472 | 1.4547 | 0.8182 |
| 0.0221 | 15.0 | 3720 | 1.4760 | 0.8 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1