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Ransaka
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sinhala-bert-small

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Transformers
PyTorch
Sinhala
bert
Inference Endpoints
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sinhala-bert-small

This model is pretrained on Sinhala data srources.

Model description 

hidden_size = 384
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
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Evaluation results

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