metadata
base_model: /notebooks/cantonese/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bart-base-cantonese
results: []
bart-base-cantonese
This model is a fine-tuned version of fnlp/bart-base-chinese on indiejoseph/cc100-yue with typo correction and filtered. It achieves the following results on the evaluation set:
- Loss: 0.8513
- Accuracy: 0.8363
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: 0.0001
- 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
- lr_scheduler_warmup_steps: 2000
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0