metadata
library_name: transformers
license: mit
base_model: flax-community/indonesian-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: model_1_sentences
results: []
NOTE: backup model kept so app potentially doesn't break, for actual model that is going to be used go to elidle/indonesian-roberta-base-company-reputation
model_1_sentences
This model is a fine-tuned version of flax-community/indonesian-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6418
- Accuracy: 0.8413
- F1: 0.8421
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4906 | 1.0 | 3415 | 0.4751 | 0.8155 | 0.8197 |
| 0.353 | 2.0 | 6830 | 0.5212 | 0.8391 | 0.8409 |
| 0.2384 | 3.0 | 10245 | 0.6594 | 0.8457 | 0.8449 |
| 0.1574 | 4.0 | 13660 | 0.9253 | 0.8435 | 0.8421 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1