metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_v8
results: []
Zidan_model_output_v8
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: 1.5008
- Accuracy: 0.7818
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 248 | 0.9353 | 0.4545 |
| No log | 2.0 | 496 | 0.8453 | 0.7636 |
| 0.8008 | 3.0 | 744 | 0.9547 | 0.8364 |
| 0.8008 | 4.0 | 992 | 0.9477 | 0.8 |
| 0.3923 | 5.0 | 1240 | 1.2342 | 0.8 |
| 0.3923 | 6.0 | 1488 | 1.5085 | 0.8 |
| 0.1679 | 7.0 | 1736 | 1.2791 | 0.8182 |
| 0.1679 | 8.0 | 1984 | 1.3501 | 0.8182 |
| 0.0693 | 9.0 | 2232 | 1.5200 | 0.7818 |
| 0.0693 | 10.0 | 2480 | 1.5008 | 0.7818 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1