---
license: mit
base_model:
- google-bert/bert-base-cased
tags:
- generated_from_trainer
- finetune
datasets:
- vrclc/dakshina-lexicons-ml
language:
- si
new_version: google-bert/bert-base-cased
base-model:
- Ransaka/sinhala-bert-medium-v2
wedget:
- text: "අපි තමයි [MASK] කරේ."
- text: "මට හෙට එන්න වෙන්නේ [MASK]."
- text: "අපි ගෙදර [MASK]."
- text: 'සිංහල සහ [MASK] අලුත් අවුරුද්ද.'
---

# fine-tune-sinhala-bert

This model is pretrained on Sinhala data resources.

## Model description

    hidden_size = 786
    num_hidden_layers = 6
    num_attention_heads = 6
    intermediate_size = 1024

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

Epoch	Training Loss	Validation Loss
1	    3.946600	    3.898129
2	    3.782100	    3.800080
3	    3.678300	    3.706316
4	    3.485600	    3.646217
5	    3.480900	    3.601913
6	    3.420000	    3.615573

### Framework versions

- Transformers 4.47.0
- Pytorch 2.0.0
- Datasets 3.2.0
- Tokenizers 0.21.0