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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- cwchang/tw_address_large |
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metrics: |
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- rouge |
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model-index: |
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- name: formatted_address |
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results: |
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- task: |
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name: Summarization |
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type: summarization |
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dataset: |
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name: cwchang/tw_address_large |
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type: cwchang/tw_address_large |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 97.0 |
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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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# formatted_address |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the cwchang/tw_address_large dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1388 |
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- Rouge1: 97.0 |
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- Rouge2: 48.3471 |
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- Rougel: 96.996 |
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- Rougelsum: 96.9932 |
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- Gen Len: 13.7152 |
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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: 5e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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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: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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