
# sinhala-bert-medium

This model is pretrained on Sinhala data srources.

## 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: 10

### Training results



### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3

{"language": ["si"], "license": "mit", "tags": ["generated_from_trainer"], "widget": [{"text": "\u0d85\u0db4\u0dd2 \u0dad\u0db8\u0dba\u0dd2 [MASK] \u0d9a\u0dbb\u0dda."}, {"text": "\u0db8\u0da7 \u0dc4\u0dd9\u0da7 \u0d91\u0db1\u0dca\u0db1 \u0dc0\u0dd9\u0db1\u0dca\u0db1\u0dda [MASK]."}, {"text": "\u0d85\u0db4\u0dd2 \u0d9c\u0dd9\u0daf\u0dbb [MASK]."}, {"text": "\u0dc3\u0dd2\u0d82\u0dc4\u0dbd \u0dc3\u0dc4 [MASK] \u0d85\u0dbd\u0dd4\u0dad\u0dca \u0d85\u0dc0\u0dd4\u0dbb\u0dd4\u0daf\u0dca\u0daf."}], "model-index": [{"name": "sinhala-bert-medium", "results": []}]}
transformers safetensors bert fill-mask generated_from_trainer si license:mit autotrain_compatible endpoints_compatible has_space region:us