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# Sinhala-comment-classifier

This model is a fine-tuned version of [Ransaka/sinhala-bert-medium-v2](https://huggingface.co/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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transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:Ransaka/sinhala-bert-medium-v2 license:mit autotrain_compatible endpoints_compatible region:us