Sinhala-comment-classifier
This model is a fine-tuned version of Ransaka/sinhala-bert-medium-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1381
- Accuracy: 0.9681
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: 0.0002
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.284 | 0.78 | 100 | 0.1764 | 0.9544 |
| 0.1662 | 1.56 | 200 | 0.1954 | 0.9453 |
| 0.0763 | 2.34 | 300 | 0.1381 | 0.9681 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for Ransaka/Sinhala-comment-classifier
Base model
Ransaka/sinhala-bert-medium-v2