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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_v2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1562
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  ## Model description
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@@ -41,20 +41,22 @@ 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: 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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- | 1.2794 | 1.0 | 2719 | 1.1530 |
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- | 0.9735 | 2.0 | 5438 | 1.1372 |
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- | 0.7425 | 3.0 | 8157 | 1.1562 |
 
 
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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_v2 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8286
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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: 5
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.208 | 1.0 | 8235 | 1.2577 |
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+ | 0.945 | 2.0 | 16470 | 1.1991 |
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+ | 0.7462 | 3.0 | 24705 | 1.3663 |
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+ | 0.5751 | 4.0 | 32940 | 1.6074 |
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+ | 0.4865 | 5.0 | 41175 | 1.8286 |
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  ### Framework versions
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  - Transformers 4.19.2
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+ - Pytorch 1.11.0
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  - Datasets 2.2.2
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  - Tokenizers 0.12.1