---
license: cc-by-4.0
base_model: indiejoseph/bert-base-cantonese
tags:
- generated_from_trainer
model-index:
- name: bert-suicide-detection-hk
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-suicide-detection-hk

This model is a fine-tuned version of [indiejoseph/bert-base-cantonese](https://huggingface.co/indiejoseph/bert-base-cantonese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0004

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2689        | 0.4630 | 50   | 0.0547          |
| 0.106         | 0.9259 | 100  | 0.0343          |
| 0.0657        | 1.3889 | 150  | 0.0187          |
| 0.0465        | 1.8519 | 200  | 0.0005          |
| 0.026         | 2.3148 | 250  | 0.0180          |
| 0.0069        | 2.7778 | 300  | 0.0005          |
| 0.0105        | 3.2407 | 350  | 0.0012          |
| 0.0003        | 3.7037 | 400  | 0.0029          |
| 0.0023        | 4.1667 | 450  | 0.0004          |
| 0.0002        | 4.6296 | 500  | 0.0004          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1