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update model card README.md

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0401
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- - Accuracy: 0.6117
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  ## Model description
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@@ -44,15 +44,14 @@ 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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 32 | 1.0224 | 0.5845 |
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- | No log | 2.0 | 64 | 0.9723 | 0.6218 |
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- | No log | 3.0 | 96 | 1.0401 | 0.6117 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6045
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+ - Accuracy: 0.7960
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.7494 | 1.0 | 4597 | 0.5942 | 0.7716 |
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+ | 0.3499 | 2.0 | 9194 | 0.6045 | 0.7960 |
 
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  ### Framework versions