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README.md
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tags:
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- generated_from_trainer
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datasets:
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model-index:
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- name: distilbert-base-uncased-finetuned-squad
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results: []
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# distilbert-base-uncased-finetuned-squad
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.
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- Tokenizers 0.
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tags:
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- generated_from_trainer
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datasets:
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- squad_v2
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model-index:
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- name: distilbert-base-uncased-finetuned-squad
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results: []
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# distilbert-base-uncased-finetuned-squad
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad_v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3970
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.2314 | 1.0 | 8235 | 1.2204 |
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| 0.9538 | 2.0 | 16470 | 1.2508 |
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| 0.7651 | 3.0 | 24705 | 1.3970 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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