metadata
license: mit
base_model: indobenchmark/indobert-large-p2
tags:
- generated_from_trainer
model-index:
- name: Indonesian-LegalBERT-lite
results: []
Indonesian-LegalBERT-lite
This model is a fine-tuned version of indobenchmark/indobert-large-p2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0589
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8363 | 1.0 | 2870 | 1.1978 |
| 1.2286 | 2.0 | 5740 | 1.0848 |
| 1.1488 | 3.0 | 8610 | 1.0526 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3