metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_new
results: []
Zidan_model_output_new
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: 0.7244
- Accuracy: 0.8545
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-05
- train_batch_size: 8
- eval_batch_size: 16
- 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 | 124 | 0.8299 | 0.6364 |
| No log | 2.0 | 248 | 0.4376 | 0.8182 |
| No log | 3.0 | 372 | 0.4606 | 0.8364 |
| No log | 4.0 | 496 | 0.4147 | 0.8182 |
| 0.6148 | 5.0 | 620 | 0.3365 | 0.8727 |
| 0.6148 | 6.0 | 744 | 0.3996 | 0.8545 |
| 0.6148 | 7.0 | 868 | 0.5302 | 0.8364 |
| 0.6148 | 8.0 | 992 | 0.5224 | 0.8545 |
| 0.1989 | 9.0 | 1116 | 0.5880 | 0.8727 |
| 0.1989 | 10.0 | 1240 | 0.6525 | 0.8545 |
| 0.1989 | 11.0 | 1364 | 0.5338 | 0.8909 |
| 0.1989 | 12.0 | 1488 | 0.7244 | 0.8545 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1