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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
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  model-index:
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  - name: distilbert-base-uncased_mod
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  results: []
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert-base-uncased_mod
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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: 1.1686
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  ## Model description
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@@ -45,16 +45,16 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.1907 | 1.0 | 5475 | 1.1238 |
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- | 0.8831 | 2.0 | 10950 | 1.0881 |
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- | 0.6164 | 3.0 | 16425 | 1.1686 |
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  ### Framework versions
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- - Transformers 4.27.4
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  - Pytorch 2.0.0+cu118
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  - Datasets 2.11.0
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  - Tokenizers 0.13.3
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - quoref
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  model-index:
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  - name: distilbert-base-uncased_mod
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  results: []
 
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  # distilbert-base-uncased_mod
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+ This model is a fine-tuned version of [damapika/distilbert-base-uncased_mod](https://huggingface.co/damapika/distilbert-base-uncased_mod) on the quoref dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0147
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.6873 | 1.0 | 1213 | 1.6969 |
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+ | 1.1652 | 2.0 | 2426 | 1.8045 |
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+ | 0.7953 | 3.0 | 3639 | 2.0147 |
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  ### Framework versions
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+ - Transformers 4.29.2
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  - Pytorch 2.0.0+cu118
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  - Datasets 2.11.0
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  - Tokenizers 0.13.3