metadata
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cantonese-chinese-translation
results: []
cantonese-chinese-translation
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: 0.2349
- Bleu: 60.8976
- Chrf: 59.0374
- Gen Len: 12.9296
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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
|---|---|---|---|---|---|---|
| 0.3535 | 0.48 | 1000 | 0.2530 | 60.3526 | 58.5789 | 12.8843 |
| 0.3069 | 0.96 | 2000 | 0.2452 | 60.6498 | 58.8383 | 12.9006 |
| 0.2299 | 1.44 | 3000 | 0.2389 | 60.6464 | 58.9253 | 12.8851 |
| 0.2203 | 1.92 | 4000 | 0.2349 | 60.8976 | 59.0374 | 12.9296 |
| 0.1745 | 2.39 | 5000 | 0.2407 | 60.7308 | 58.8719 | 12.9298 |
| 0.1658 | 2.87 | 6000 | 0.2373 | 60.3476 | 58.6283 | 12.8618 |
| 0.1351 | 3.35 | 7000 | 0.2589 | 60.7838 | 58.8847 | 12.9313 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.13.3