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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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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 2.
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- Tokenizers 0.13.2
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tags:
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- generated_from_trainer
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datasets:
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- squad
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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 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1725
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.2194 | 1.0 | 5533 | 1.1700 |
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| 0.9533 | 2.0 | 11066 | 1.1341 |
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| 0.7452 | 3.0 | 16599 | 1.1725 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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