metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: indonesian-roberta-base-prdect-id
results: []
indonesian-roberta-base-prdect-id
This model is a fine-tuned version of flax-community/indonesian-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8133
- Accuracy: 0.6852
- F1: 0.6447
- Precision: 0.6464
- Recall: 0.6437
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|
| 1.0358 | 1.0 | 152 | 0.8293 | 0.6519 | 0.5814 | 0.6399 | 0.5746 |
| 0.7012 | 2.0 | 304 | 0.7444 | 0.6741 | 0.6269 | 0.6360 | 0.6220 |
| 0.5599 | 3.0 | 456 | 0.7635 | 0.6852 | 0.6440 | 0.6433 | 0.6453 |
| 0.4628 | 4.0 | 608 | 0.8031 | 0.6852 | 0.6421 | 0.6471 | 0.6396 |
| 0.4027 | 5.0 | 760 | 0.8133 | 0.6852 | 0.6447 | 0.6464 | 0.6437 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2