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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bart-base-cantonese-v8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-base-cantonese-v8
This model is a fine-tuned version of [notebooks/cantonese/bart-base-chinese](https://huggingface.co/notebooks/cantonese/bart-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0433
- Accuracy: 0.8171
## 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: 10.0
### Training results
### Framework versions
- Transformers 4.28.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
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