A newer version of this model is available: google-bert/bert-base-cased
fine-tune-sinhala-bert
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: 16
- 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 4.47.0
- Pytorch 2.0.0
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for ThilinaGunathilaka/fine-tune-sinhala-bert-v2
Base model
google-bert/bert-base-cased