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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: cantonese-chinese-translation |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# cantonese-chinese-translation |
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This model is a fine-tuned version of [fnlp/bart-base-chinese](https://huggingface.co/fnlp/bart-base-chinese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2373 |
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- Bleu: 58.9213 |
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- Chrf: 57.6665 |
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- Gen Len: 12.8396 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:| |
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| 0.3565 | 0.48 | 1000 | 0.2624 | 58.3152 | 56.9278 | 12.8539 | |
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| 0.3077 | 0.96 | 2000 | 0.2403 | 58.4429 | 57.226 | 12.8036 | |
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| 0.2297 | 1.44 | 3000 | 0.2469 | 58.6654 | 57.3437 | 12.8374 | |
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| 0.2256 | 1.92 | 4000 | 0.2373 | 58.9213 | 57.6665 | 12.8396 | |
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| 0.1711 | 2.39 | 5000 | 0.2427 | 58.8291 | 57.4604 | 12.8506 | |
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| 0.1694 | 2.87 | 6000 | 0.2500 | 58.4154 | 57.0752 | 12.813 | |
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| 0.1336 | 3.35 | 7000 | 0.2575 | 58.4311 | 57.0237 | 12.8415 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.13.3 |
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