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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: 0.2370 |
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- Bleu: 62.9641 |
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- Chrf: 60.8644 |
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- Gen Len: 12.8539 |
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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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| 0.3589 | 0.48 | 1000 | 0.2446 | 62.6737 | 60.5633 | 12.874 | |
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| 0.3038 | 0.96 | 2000 | 0.2347 | 62.8493 | 60.8189 | 12.8479 | |
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| 0.2301 | 1.44 | 3000 | 0.2370 | 62.9641 | 60.8644 | 12.8539 | |
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| 0.2267 | 1.92 | 4000 | 0.2323 | 62.9373 | 60.7878 | 12.9001 | |
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| 0.1725 | 2.39 | 5000 | 0.2431 | 62.7294 | 60.5396 | 12.8728 | |
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| 0.1665 | 2.87 | 6000 | 0.2399 | 62.6086 | 60.4485 | 12.8479 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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