religion-classifier
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0425
- Accuracy: 0.9975
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: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.1656 | 1.0 | 1475 | 0.0819 | 0.9941 |
0.0737 | 2.0 | 2950 | 0.0668 | 0.9952 |
0.0453 | 3.0 | 4425 | 0.0884 | 0.9945 |
0.0289 | 4.0 | 5900 | 0.0478 | 0.9969 |
0.0333 | 5.0 | 7375 | 0.0454 | 0.9971 |
0.0265 | 6.0 | 8850 | 0.0734 | 0.9956 |
0.0137 | 7.0 | 10325 | 0.0538 | 0.9968 |
0.0181 | 8.0 | 11800 | 0.0428 | 0.9973 |
0.0089 | 9.0 | 13275 | 0.0450 | 0.9973 |
0.0047 | 10.0 | 14750 | 0.0425 | 0.9975 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 14
Model tree for LukeJacob2023/religion-classifier
Base model
google-bert/bert-base-multilingual-uncased