---
license: cc-by-4.0
base_model: indiejoseph/bert-base-cantonese
tags:
- generated_from_trainer
datasets:
- hkcancor
model-index:
- name: bert_base_cantonese_pos_hkcancor
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_cantonese_pos_hkcancor

This model is a fine-tuned version of [indiejoseph/bert-base-cantonese](https://huggingface.co/indiejoseph/bert-base-cantonese) on the hkcancor dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1293

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1555        | 1.0   | 669  | 0.1348          |
| 0.1112        | 2.0   | 1338 | 0.1293          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1