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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- t5-large |
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- text2text-generation |
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- conversational question rewriting |
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datasets: |
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- CANARD |
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metrics: |
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- BLEU |
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widget: |
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- text: 'Rewrite the question according to the given context to make the dialog fluent |
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using anaphora and ellipsis. |
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question: What else happened during 1977-1981 other than Superstar Billy Graham''s |
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return? |
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context: Superstar Billy Graham |
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Return to WWWF (1977-1981) |
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Why did he return to the WWWF? |
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an agreement with promoter Vincent J. McMahon (Senior |
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What was his agreement with McMahon? |
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I don''t know. |
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How did people respond to his return? |
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I don''t know.' |
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- text: 'Rewrite the question according to the given context to make the dialog fluent |
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using anaphora and ellipsis. |
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question: why did Billy Graham personally sued Zahorian and the WWF? |
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context: Superstar Billy Graham |
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Disputes with the McMahons |
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what disputes did he have? |
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Graham personally sued Zahorian and the WWF,' |
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inference: |
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parameters: |
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max_length: 100 |
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base_model: t5-large |
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model-index: |
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- name: t5-large-coqr-canard |
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results: |
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- task: |
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type: text2text-generation |
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name: conversational question rewriting |
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dataset: |
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name: CANARD |
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type: CANARD |
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split: test |
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metrics: |
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- type: BLEU |
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value: 77.8 |
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name: BLEU |
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--- |
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# t5-large-coqr-canard |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the [CANARD](https://sites.google.com/view/qanta/projects/canard) dataset. |
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It achieves the following results on the test set: |
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- Loss: 0.3064 |
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- Bleu: 77.1979 |
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- Generation Length: 9.576 |
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## Model description |
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CANARD dataset rewrites the original questions in conversations to make them context-independent (understandable w/o context). |
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On the contrary, this model is trained to rewrite context-independent questions to conversational questions, aiming to create fluent dialog with anaphora and ellipsis. |
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Input: |
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``` |
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Rewrite the question according to the given context to make the dialog fluent using anaphora and ellipsis. |
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question: How did people respond to Superstar Billy Graham's return? |
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context: Superstar Billy Graham |
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Return to WWWF (1977-1981) |
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Why did he return to the WWWF? |
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an agreement with promoter Vincent J. McMahon (Senior |
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What was his agreement with McMahon? |
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I don't know. |
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``` |
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Target: |
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``` |
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How did people respond to his return? |
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``` |
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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: 0.001 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 512 |
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- optimizer: Adafactor |
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- lr_scheduler_type: linear |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 62 | 0.2987 | 77.2361 | 9.4534 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.12.1 |
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