---
license: mit
base_model: Ransaka/sinhala-bert-medium-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Sinhala-comment-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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: 0.1118
- Accuracy: 0.9736

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.7   | 100  | 0.1270          | 0.9561   |
| No log        | 1.4   | 200  | 0.1239          | 0.9649   |
| No log        | 2.1   | 300  | 0.1114          | 0.9719   |
| No log        | 2.8   | 400  | 0.1118          | 0.9736   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0