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update model card README.md

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@@ -17,9 +17,9 @@ 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: 0.8186
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- - Accuracy: 0.6630
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- - F1: 0.6630
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.7581 | 1.0 | 1839 | 0.7575 | 0.6649 | 0.6649 |
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- | 0.6685 | 2.0 | 3678 | 0.7727 | 0.6611 | 0.6611 |
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- | 0.5403 | 3.0 | 5517 | 0.8186 | 0.6630 | 0.6630 |
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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: 0.7639
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+ - Accuracy: 0.6649
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+ - F1: 0.6649
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.7565 | 1.0 | 1839 | 0.7589 | 0.6635 | 0.6635 |
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+ | 0.6693 | 2.0 | 3678 | 0.7639 | 0.6649 | 0.6649 |
 
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  ### Framework versions