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newsclassifier
This model is a fine-tuned version of HooshvareLab/bert-fa-zwnj-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1405
- Matthews Correlation: 0.9731
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.2207 | 1.0 | 2397 | 0.1706 | 0.9595 |
| 0.0817 | 2.0 | 4794 | 0.1505 | 0.9663 |
| 0.0235 | 3.0 | 7191 | 0.1405 | 0.9731 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
