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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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4553
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- - Accuracy: 0.8267
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- - F1: 0.8270
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  ## Model description
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@@ -44,15 +44,16 @@ 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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- | 0.803 | 1.0 | 48 | 0.6463 | 0.6997 | 0.6460 |
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- | 0.5508 | 2.0 | 96 | 0.5141 | 0.8042 | 0.8051 |
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- | 0.4111 | 3.0 | 144 | 0.4553 | 0.8267 | 0.8270 |
 
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3995
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+ - Accuracy: 0.8479
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+ - F1: 0.8480
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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: 4
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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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+ | 0.7981 | 1.0 | 48 | 0.6349 | 0.7037 | 0.6527 |
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+ | 0.5263 | 2.0 | 96 | 0.4732 | 0.8320 | 0.8321 |
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+ | 0.3521 | 3.0 | 144 | 0.4009 | 0.8426 | 0.8413 |
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+ | 0.268 | 4.0 | 192 | 0.3995 | 0.8479 | 0.8480 |
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  ### Framework versions