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update model card README.md

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@@ -17,8 +17,8 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2614
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- - Accuracy: 0.9296
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  ## Model description
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@@ -43,14 +43,17 @@ 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: 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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- | No log | 1.0 | 112 | 0.2497 | 0.9246 |
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- | No log | 2.0 | 224 | 0.2614 | 0.9296 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0942
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+ - Accuracy: 0.9799
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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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 112 | 0.1198 | 0.9749 |
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+ | No log | 2.0 | 224 | 0.0874 | 0.9698 |
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+ | No log | 3.0 | 336 | 0.1638 | 0.9598 |
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+ | No log | 4.0 | 448 | 0.1002 | 0.9799 |
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+ | 0.1595 | 5.0 | 560 | 0.0942 | 0.9799 |
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  ### Framework versions