sinhala-bert-small

Model description

hidden_size = 384
num_hidden_layers = 6
num_attention_heads = 6
intermediate_size = 1024

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• 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