metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Religion-Classification
results: []
Religion-Classification
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0924
- Accuracy: 0.9879
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1027 | 1.0 | 3753 | 0.0862 | 0.9801 |
| 0.0599 | 2.0 | 7506 | 0.0714 | 0.9842 |
| 0.0232 | 3.0 | 11259 | 0.0732 | 0.9865 |
| 0.0062 | 4.0 | 15012 | 0.0874 | 0.9881 |
| 0.0032 | 5.0 | 18765 | 0.0924 | 0.9879 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.12.0
- Datasets 2.9.0
- Tokenizers 0.10.3