indobert-qa-IndoCareer-multiple-choice
This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5120
- Accuracy: 0.2879
- F1: 0.2811
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.618 | 1.0 | 548 | 1.5223 | 0.2424 | 0.2465 |
| 1.5077 | 2.0 | 1096 | 1.4804 | 0.3485 | 0.3489 |
| 1.449 | 3.0 | 1644 | 1.5120 | 0.2879 | 0.2811 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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The model cannot be deployed to the HF Inference API:
The HF Inference API does not support multiple-choice models for transformers library.
Model tree for FaishalbhiteX/indobert-qa-IndoCareer-multiple-choice
Base model
indolem/indobert-base-uncased