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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2192
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- - Accuracy: 0.9265
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- - F1: 0.9264
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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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- | 0.8829 | 1.0 | 250 | 0.3189 | 0.9125 | 0.9102 |
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- | 0.2566 | 2.0 | 500 | 0.2192 | 0.9265 | 0.9264 |
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1491
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+ - Accuracy: 0.939
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+ - F1: 0.9390
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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: 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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+ | 0.1789 | 1.0 | 250 | 0.1740 | 0.932 | 0.9314 |
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+ | 0.1189 | 2.0 | 500 | 0.1573 | 0.936 | 0.9361 |
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+ | 0.098 | 3.0 | 750 | 0.1491 | 0.939 | 0.9390 |
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  ### Framework versions