metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bart-base-cantonese-v6
results: []
bart-base-cantonese-v6
This model is a fine-tuned version of notebooks/cantonese/bart-base-chinese-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2737
- Accuracy: 0.7885
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: 1e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.28.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3