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update model card README.md

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@@ -3,7 +3,7 @@ license: apache-2.0
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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: []
@@ -14,7 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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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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  ## Model description
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@@ -41,9 +43,18 @@ The following hyperparameters were used during training:
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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 4.24.0
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- - Pytorch 1.12.1+cu113
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- - Datasets 2.7.1
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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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+
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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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+
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+
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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