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thatdramebaazguy
/
roberta-base-squad

Question Answering
Transformers
PyTorch
TensorFlow
JAX
roberta
roberta-base
qa
Inference Endpoints
Model card Files Community
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Update README.md

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@@ -31,7 +31,7 @@ pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="question
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  **Language:** English
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  **Downstream-task:** QA
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  **Training data:** SQuADv1
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- **Eval data:** SQuAD
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  **Infrastructure**: 2x Tesla v100
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  **Code:** See [example](https://github.com/adityaarunsinghal/Domain-Adaptation/blob/master/scripts/shell_scripts/train_movieR_just_squadv1.sh)
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@@ -45,7 +45,7 @@ Total train batch size (w. parallel, distributed & accumulation) = 64
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  ```
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  ## Performance
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- ### Eval on MoviesQA
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  - epoch = 10.0
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  - eval_samples = 10790
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  - exact_match = 83.6045
 
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  **Language:** English
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  **Downstream-task:** QA
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  **Training data:** SQuADv1
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+ **Eval data:** SQuAD
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  **Infrastructure**: 2x Tesla v100
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  **Code:** See [example](https://github.com/adityaarunsinghal/Domain-Adaptation/blob/master/scripts/shell_scripts/train_movieR_just_squadv1.sh)
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  ```
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  ## Performance
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+ ### Eval on SQuADv1
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  - epoch = 10.0
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  - eval_samples = 10790
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  - exact_match = 83.6045