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--- |
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license: mit |
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base_model: |
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- google-bert/bert-base-cased |
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tags: |
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- generated_from_trainer |
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- finetune |
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datasets: |
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- vrclc/dakshina-lexicons-ml |
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language: |
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- si |
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new_version: google-bert/bert-base-cased |
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base-model: |
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- Ransaka/sinhala-bert-medium-v2 |
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wedget: |
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- text: "අපි තමයි [MASK] කරේ." |
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- text: "මට හෙට එන්න වෙන්නේ [MASK]." |
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- text: "අපි ගෙදර [MASK]." |
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- text: 'සිංහල සහ [MASK] අලුත් අවුරුද්ද.' |
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--- |
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# fine-tune-sinhala-bert |
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This model is pretrained on Sinhala data resources. |
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## Model description |
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hidden_size = 786 |
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num_hidden_layers = 6 |
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num_attention_heads = 6 |
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intermediate_size = 1024 |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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### Training results |
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Epoch Training Loss Validation Loss |
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1 3.946600 3.898129 |
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2 3.782100 3.800080 |
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3 3.678300 3.706316 |
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4 3.485600 3.646217 |
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5 3.480900 3.601913 |
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6 3.420000 3.615573 |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.0.0 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
