metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indonesian-personalyty-indoBERT-finetuned
results: []
indonesian-personalyty-indoBERT-finetuned
This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1403
- Accuracy: 0.9732
- Precision: 0.9732
- Recall: 0.9732
- F1: 0.9732
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: 1e-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
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.434 | 1.0 | 550 | 0.1352 | 0.9659 | 0.9659 | 0.9659 | 0.9659 |
| 0.1207 | 2.0 | 1100 | 0.1403 | 0.9732 | 0.9732 | 0.9732 | 0.9732 |
| 0.091 | 3.0 | 1650 | 0.1291 | 0.9700 | 0.9700 | 0.9700 | 0.9700 |
| 0.0633 | 4.0 | 2200 | 0.1367 | 0.9722 | 0.9722 | 0.9722 | 0.9722 |
| 0.0463 | 5.0 | 2750 | 0.1414 | 0.9732 | 0.9732 | 0.9732 | 0.9732 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2