metadata
license: mit
base_model: indobenchmark/indobert-base-p2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sent_model
results: []
sent_model
This model is a fine-tuned version of indobenchmark/indobert-base-p2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4024
- Accuracy: 0.9512
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: 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 | 72 | 0.2019 | 0.9617 |
| No log | 2.0 | 144 | 0.2298 | 0.9582 |
| No log | 3.0 | 216 | 0.3607 | 0.9408 |
| No log | 4.0 | 288 | 0.4106 | 0.9338 |
| No log | 5.0 | 360 | 0.3390 | 0.9547 |
| No log | 6.0 | 432 | 0.3567 | 0.9547 |
| 0.0226 | 7.0 | 504 | 0.3608 | 0.9582 |
| 0.0226 | 8.0 | 576 | 0.3653 | 0.9547 |
| 0.0226 | 9.0 | 648 | 0.4015 | 0.9512 |
| 0.0226 | 10.0 | 720 | 0.4024 | 0.9512 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0