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--- |
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license: cc-by-4.0 |
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base_model: indiejoseph/bert-base-cantonese |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-suicide-detection-hk |
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results: [] |
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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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# bert-suicide-detection-hk |
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This model is a fine-tuned version of [indiejoseph/bert-base-cantonese](https://huggingface.co/indiejoseph/bert-base-cantonese) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0004 |
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## Model description |
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More information needed |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.2689 | 0.4630 | 50 | 0.0547 | |
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| 0.106 | 0.9259 | 100 | 0.0343 | |
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| 0.0657 | 1.3889 | 150 | 0.0187 | |
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| 0.0465 | 1.8519 | 200 | 0.0005 | |
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| 0.026 | 2.3148 | 250 | 0.0180 | |
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| 0.0069 | 2.7778 | 300 | 0.0005 | |
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| 0.0105 | 3.2407 | 350 | 0.0012 | |
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| 0.0003 | 3.7037 | 400 | 0.0029 | |
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| 0.0023 | 4.1667 | 450 | 0.0004 | |
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| 0.0002 | 4.6296 | 500 | 0.0004 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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