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---
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 |