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--- |
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license: mit |
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base_model: Ransaka/sinhala-bert-medium-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: SentimentClassifier.si |
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results: [] |
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language: |
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- si |
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pipeline_tag: text-classification |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SentimentClassifier.si |
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This model is a fine-tuned version of [Ransaka/sinhala-bert-medium-v2](https://huggingface.co/Ransaka/sinhala-bert-medium-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2358 |
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- F1: 0.8877 |
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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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Labels |
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```plaintext |
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NEGATIVE: 1 |
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POSITIVE: 0 |
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``` |
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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: 0.0002 |
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- train_batch_size: 16 |
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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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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.4053 | 0.08 | 100 | 0.2802 | 0.8677 | |
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| 0.3768 | 0.16 | 200 | 0.3123 | 0.8616 | |
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| 0.3334 | 0.24 | 300 | 0.2810 | 0.8732 | |
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| 0.2906 | 0.32 | 400 | 0.2554 | 0.8779 | |
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| 0.3027 | 0.4 | 500 | 0.2595 | 0.8836 | |
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| 0.2612 | 0.48 | 600 | 0.2797 | 0.8592 | |
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| 0.2568 | 0.56 | 700 | 0.2474 | 0.8785 | |
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| 0.2325 | 0.64 | 800 | 0.2546 | 0.8816 | |
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| 0.2272 | 0.72 | 900 | 0.2424 | 0.8878 | |
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| 0.2331 | 0.8 | 1000 | 0.2358 | 0.8877 | |
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Model performance on validation dataset |
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```plaintext |
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precision recall f1-score support |
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0 0.95 0.92 0.93 6943 |
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1 0.82 0.88 0.84 2913 |
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accuracy 0.90 9856 |
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macro avg 0.88 0.90 0.89 9856 |
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weighted avg 0.91 0.90 0.91 9856 |
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``` |
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<img |
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src="https://cdn-uploads.huggingface.co/production/uploads/60f2e10dadf471cbdf8bb661/Yi9TbdOF6CoMfKk40Bcvu.png" |
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alt="Confusion Matrix on Validation Data" |
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width="300"> |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
