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: 0.2629
- Accuracy: 0.9511
- Precision: 0.9511
- Recall: 0.9511
- F1: 0.9511
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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 287 | 0.2033 | 0.9372 | 0.9372 | 0.9372 | 0.9372 |
| 0.204 | 2.0 | 574 | 0.2492 | 0.9415 | 0.9415 | 0.9415 | 0.9415 |
| 0.204 | 3.0 | 861 | 0.2422 | 0.9468 | 0.9468 | 0.9468 | 0.9468 |
| 0.094 | 4.0 | 1148 | 0.2540 | 0.9503 | 0.9503 | 0.9503 | 0.9503 |
| 0.094 | 5.0 | 1435 | 0.2629 | 0.9511 | 0.9511 | 0.9511 | 0.9511 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2