metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: polibert-malaysia-ver4
results: []
polibert-malaysia-ver4
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2641
- Accuracy: 0.9371
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.032 | 1.0 | 938 | 0.3282 | 0.9227 |
| 0.2967 | 2.0 | 1876 | 0.2641 | 0.9371 |
| 0.1987 | 3.0 | 2814 | 0.2902 | 0.9403 |
| 0.163 | 4.0 | 3752 | 0.2995 | 0.9451 |
| 0.1315 | 5.0 | 4690 | 0.2922 | 0.9445 |
| 0.0864 | 6.0 | 5628 | 0.2760 | 0.9504 |
| 0.0861 | 7.0 | 6566 | 0.2836 | 0.9493 |
| 0.0686 | 8.0 | 7504 | 0.2933 | 0.9509 |
Framework versions
- Transformers 4.18.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.12.1