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update model card README.md

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  1. README.md +6 -6
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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: my_awesome_qa_model
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  results: []
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_qa_model
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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: 1.6298
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  ## Model description
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@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 250 | 2.1731 |
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- | 2.6513 | 2.0 | 500 | 1.7050 |
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- | 2.6513 | 3.0 | 750 | 1.6298 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - covid_qa_deepset
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  model-index:
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  - name: my_awesome_qa_model
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  results: []
 
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  # my_awesome_qa_model
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the covid_qa_deepset dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8725
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 100 | 0.9837 |
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+ | No log | 2.0 | 200 | 0.9051 |
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+ | No log | 3.0 | 300 | 0.8725 |
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  ### Framework versions