metadata
license: mit
base_model: Ransaka/sinhala-bert-medium-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Sinhala-comment-classifier
results: []
Sinhala-comment-classifier
This model is a fine-tuned version of Ransaka/sinhala-bert-medium-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1118
- Accuracy: 0.9736
Model description
More information needed
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.7 | 100 | 0.1270 | 0.9561 |
| No log | 1.4 | 200 | 0.1239 | 0.9649 |
| No log | 2.1 | 300 | 0.1114 | 0.9719 |
| No log | 2.8 | 400 | 0.1118 | 0.9736 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0