cantonese-chinese-translation-pycantonese-v22
This model is a fine-tuned version of fnlp/bart-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1513
- Bleu: 7.2337
- Chrf: 6.716
- Gen Len: 8.3247
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
---|---|---|---|---|---|---|
0.475 | 2.91 | 5000 | 0.1728 | 4.088 | 3.9621 | 7.6729 |
0.2232 | 5.82 | 10000 | 0.1513 | 7.2337 | 6.716 | 8.3247 |
0.1892 | 8.73 | 15000 | 0.1397 | 4.7516 | 4.6853 | 8.1438 |
0.1667 | 11.64 | 20000 | 0.1370 | 3.3546 | 3.4247 | 7.9183 |
0.1506 | 14.55 | 25000 | 0.1327 | 3.8002 | 3.7862 | 8.4654 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3
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