tags: - generated_from_trainer - finetune model-index: - name: fine-tune-sinhala-bert-v2 results: [] datasets: - vrclc/dakshina-lexicons-ml base_model: - Ransaka/sinhala-bert-medium-v2 widget: - text: "අපි තමයි [MASK] කරේ." - text: "මට හෙට එන්න වෙන්නේ [MASK]." - text: "අපි ගෙදර [MASK]." - text: 'සිංහල සහ [MASK] අලුත් අවුරුද්ද.' license: mit language: - si

sinhala-bert-medium

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: 8
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 4.33.3
Pytorch 2.0.0
Datasets 2.14.5
Tokenizers 0.13.3