metadata
license: mit
base_model: indobenchmark/indobert-lite-base-p1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: indobert-lite-base-p1-indonli-distil
results: []
indobert-lite-base-p1-indonli-distil
This model is a fine-tuned version of indobenchmark/indobert-lite-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5443
- Accuracy: 0.6123
- F1: 0.6060
- Precision: 0.6275
- Recall: 0.6184
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5053 | 1.0 | 646 | 0.4511 | 0.7506 | 0.7462 | 0.7530 | 0.7445 |
| 0.4516 | 2.0 | 1292 | 0.4458 | 0.7692 | 0.7683 | 0.7684 | 0.7697 |
| 0.4192 | 3.0 | 1938 | 0.4433 | 0.7701 | 0.7677 | 0.7685 | 0.7673 |
| 0.3647 | 4.0 | 2584 | 0.4497 | 0.7720 | 0.7699 | 0.7697 | 0.7701 |
| 0.3502 | 5.0 | 3230 | 0.4530 | 0.7679 | 0.7661 | 0.7658 | 0.7668 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0