metadata
license: apache-2.0
base_model: asaduas/distilbert-base-uncased-indonesia-squadv2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: indo_specific_model
results: []
indo_specific_model
This model is a fine-tuned version of asaduas/distilbert-base-uncased-indonesia-squadv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3639
- Accuracy: 0.8447
- F1: 0.8415
- Precision: 0.8614
- Recall: 0.8224
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4331 | 1.0 | 713 | 0.3639 | 0.8447 | 0.8415 | 0.8614 | 0.8224 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1