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Adapting
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Knowledge-Driven-Dialogue

Text2Text Generation
Transformers
PyTorch
bart
Inference Endpoints
Model card Files Community
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- # commit hash
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  1. 5 epoch training: 5e2267251ec1555e81f9ed6f090e1f70355ff1c8
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  2. 10 epoch training: 2e347c5f162fe18bb8d874d2bd0b46ae3d9ff175
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  3. 13 epoch training: 58b307615eb37f44a9233318427420b330fb6cea
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- # training results
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  | Num of Epochs | Training Loss| Validation Loss|
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  | :--- | :--- | :--- |
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  | 1 | 1.569600 | 1.605180 |
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  | 4 | 1.151600 | 1.520266 |
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  | 5 | 1.094100 | 1.516026 |
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- # usage
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
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  ```
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- # dataset
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  [link](https://huggingface.co/datasets/Adapting/Knowledge-Driven-Dialogues)
 
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+ # Commit Hash
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  1. 5 epoch training: 5e2267251ec1555e81f9ed6f090e1f70355ff1c8
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  2. 10 epoch training: 2e347c5f162fe18bb8d874d2bd0b46ae3d9ff175
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  3. 13 epoch training: 58b307615eb37f44a9233318427420b330fb6cea
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+ # Training Results
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  | Num of Epochs | Training Loss| Validation Loss|
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  | :--- | :--- | :--- |
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  | 1 | 1.569600 | 1.605180 |
 
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  | 4 | 1.151600 | 1.520266 |
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  | 5 | 1.094100 | 1.516026 |
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+ # Usage
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
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  ```
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+ # Dataset
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  [link](https://huggingface.co/datasets/Adapting/Knowledge-Driven-Dialogues)