bert_base_cantonese_pos_hkcancor
This model is a fine-tuned version of 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
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Model tree for AlienKevin/bert_base_cantonese_pos_hkcancor
Base model
google-bert/bert-base-chinese Finetuned
indiejoseph/bert-base-cantonese