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