metadata
license: mit
base_model: indobenchmark/indobert-large-p1
tags:
- generated_from_trainer
model-index:
- name: stek1
results: []
stek1
This model is a fine-tuned version of indobenchmark/indobert-large-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4620
- F1 macro: 0.3922
- Weighted: 0.6228
- Balanced accuracy: 0.4926
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|---|---|---|---|---|---|---|
| 1.6323 | 1.0 | 162 | 1.4006 | 0.3891 | 0.6022 | 0.5337 |
| 0.6435 | 2.0 | 324 | 1.6296 | 0.3035 | 0.4982 | 0.4633 |
| 0.6794 | 3.0 | 486 | 1.5549 | 0.4513 | 0.6180 | 0.5184 |
| 0.0961 | 4.0 | 648 | 2.0822 | 0.3697 | 0.6076 | 0.4753 |
| 0.0246 | 5.0 | 810 | 2.2624 | 0.3830 | 0.6130 | 0.4865 |
| 0.0009 | 6.0 | 972 | 2.5032 | 0.3856 | 0.6057 | 0.4891 |
| 0.001 | 7.0 | 1134 | 2.4620 | 0.3922 | 0.6228 | 0.4926 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1