metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_v2
results: []
Zidan_model_output_v2
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: 0.7630
- Accuracy: 0.6818
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: 1e-06
- 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 220 | 1.0479 | 0.5091 |
| No log | 2.0 | 440 | 0.9568 | 0.5455 |
| 1.0321 | 3.0 | 660 | 0.9094 | 0.5818 |
| 1.0321 | 4.0 | 880 | 0.8748 | 0.6182 |
| 0.8487 | 5.0 | 1100 | 0.8410 | 0.6182 |
| 0.8487 | 6.0 | 1320 | 0.8203 | 0.6727 |
| 0.7405 | 7.0 | 1540 | 0.8106 | 0.6273 |
| 0.7405 | 8.0 | 1760 | 0.7971 | 0.6636 |
| 0.7405 | 9.0 | 1980 | 0.7852 | 0.6636 |
| 0.6747 | 10.0 | 2200 | 0.7788 | 0.6636 |
| 0.6747 | 11.0 | 2420 | 0.7754 | 0.6455 |
| 0.6304 | 12.0 | 2640 | 0.7688 | 0.6545 |
| 0.6304 | 13.0 | 2860 | 0.7656 | 0.6727 |
| 0.6064 | 14.0 | 3080 | 0.7626 | 0.6727 |
| 0.6064 | 15.0 | 3300 | 0.7630 | 0.6818 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1