|
--- |
|
license: mit |
|
base_model: Ransaka/sinhala-bert-medium-v2 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: Sinhala-comment-classifier |
|
results: [] |
|
widget: |
|
- text: "PC පිස්සුව කියන්නෙ හොඳ කරන්න අමාරු ලෙඩක් නෙවෙයි හොඳ කරන්න බැරි ලෙඩක්" |
|
- text: "මේ පිස්සෝ එක්ක රට හදන එකනම් බොරුවක්" |
|
- text: "ඒ මනුස්සයා පිස්සෙක් වෙන්න කලින් හොදට හිටියා" |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 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 |
|
|
