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--- |
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language: en |
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datasets: |
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- squad_v2 |
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license: cc-by-4.0 |
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tags: |
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- deberta |
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- deberta-v3 |
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--- |
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# deberta-v3-base for QA |
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This is the [deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) model, fine-tuned using the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering. |
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## Overview |
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**Language model:** deberta-v3-base |
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**Language:** English |
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**Downstream-task:** Extractive QA |
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**Training data:** SQuAD 2.0 |
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**Eval data:** SQuAD 2.0 |
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**Code:** See [an example QA pipeline on Haystack](https://haystack.deepset.ai/tutorials/first-qa-system) |
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**Infrastructure**: |
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## Hyperparameters |
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``` |
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batch_size = 12 |
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n_epochs = 4 |
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base_LM_model = "deberta-v3-base" |
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max_seq_len = 512 |
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learning_rate = 2e-5 |
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lr_schedule = LinearWarmup |
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warmup_proportion = 0.2 |
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doc_stride=128 |
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max_query_length=64 |
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``` |
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