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update model card README.md

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.1855
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  ## Model description
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@@ -41,18 +41,21 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.2207 | 1.0 | 11066 | 1.1855 |
 
 
 
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  ### Framework versions
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- - Transformers 4.19.2
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  - Pytorch 1.11.0+cu113
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  - Datasets 2.2.2
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  - Tokenizers 0.12.1
 
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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: 1.3672
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.1755 | 1.0 | 11066 | 1.1177 |
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+ | 0.9004 | 2.0 | 22132 | 1.1589 |
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+ | 0.6592 | 3.0 | 33198 | 1.2326 |
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+ | 0.4823 | 4.0 | 44264 | 1.3672 |
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  ### Framework versions
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+ - Transformers 4.19.4
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  - Pytorch 1.11.0+cu113
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  - Datasets 2.2.2
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  - Tokenizers 0.12.1