
# SinhalaRoberta - Pretrained Roberta for Sinhala MLM tasks.

This model is trained on various Sinhala corpus extracted from News and articles.

## Model description

Trained on MLM tasks, Please use [MASK] token to indicate masked token. The model comprises a total of 68 million parameters

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
{"language": ["si"], "license": "apache-2.0", "tags": ["MLM"], "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": "RobertaSin", "results": []}]}
transformers pytorch tensorboard roberta fill-mask MLM si license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #roberta #fill-mask #MLM #si #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 


# SinhalaRoberta - Pretrained Roberta for Sinhala MLM tasks.

This model is trained on various Sinhala corpus extracted from News and articles.

## Model description

Trained on MLM tasks, Please use [MASK] token to indicate masked token. The model comprises a total of 68 million parameters

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
# SinhalaRoberta - Pretrained Roberta for Sinhala MLM tasks.

This model is trained on various Sinhala corpus extracted from News and articles. ## Model description

Trained on MLM tasks, Please use [MASK] token to indicate masked token. The model comprises a total of 68 million parameters ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #roberta #fill-mask #MLM #si #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # SinhalaRoberta - Pretrained Roberta for Sinhala MLM tasks.

This model is trained on various Sinhala corpus extracted from News and articles. ## Model description

Trained on MLM tasks, Please use [MASK] token to indicate masked token. The model comprises a total of 68 million parameters ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #roberta #fill-mask #MLM #si #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
# SinhalaRoberta - Pretrained Roberta for Sinhala MLM tasks.

This model is trained on various Sinhala corpus extracted from News and articles.## Model description

Trained on MLM tasks, Please use [MASK] token to indicate masked token. The model comprises a total of 68 million parameters### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2