metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_v1
results: []
Zidan_model_output_v1
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: 0.5962
- Accuracy: 0.7636
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 | 248 | 1.0058 | 0.5818 |
| No log | 2.0 | 496 | 0.9174 | 0.6182 |
| 0.9971 | 3.0 | 744 | 0.8306 | 0.6182 |
| 0.9971 | 4.0 | 992 | 0.7732 | 0.6727 |
| 0.8391 | 5.0 | 1240 | 0.7360 | 0.6545 |
| 0.8391 | 6.0 | 1488 | 0.7084 | 0.6909 |
| 0.7312 | 7.0 | 1736 | 0.6780 | 0.6909 |
| 0.7312 | 8.0 | 1984 | 0.6657 | 0.7455 |
| 0.6526 | 9.0 | 2232 | 0.6486 | 0.7455 |
| 0.6526 | 10.0 | 2480 | 0.6153 | 0.7818 |
| 0.5949 | 11.0 | 2728 | 0.6290 | 0.7818 |
| 0.5949 | 12.0 | 2976 | 0.6071 | 0.7455 |
| 0.5579 | 13.0 | 3224 | 0.6088 | 0.7818 |
| 0.5579 | 14.0 | 3472 | 0.5985 | 0.7636 |
| 0.5308 | 15.0 | 3720 | 0.5962 | 0.7636 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1