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README.md CHANGED
@@ -19,10 +19,10 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4966
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- - F1: 0.5882
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- - Roc Auc: 0.7540
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- - Accuracy: 0.5556
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  ## Model description
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@@ -47,14 +47,15 @@ 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: 200
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.0246 | 79.0 | 790 | 0.6811 | 0.3529 | 0.6270 | 0.3333 |
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- | 0.0667 | 158.0 | 1580 | 0.4966 | 0.5882 | 0.7540 | 0.5556 |
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6007
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+ - F1: 0.6667
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+ - Roc Auc: 0.8095
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+ - Accuracy: 0.6667
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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: 300
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | 0.0016 | 79.0 | 790 | 0.4859 | 0.6667 | 0.8095 | 0.6667 |
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+ | 0.0006 | 158.0 | 1580 | 0.5649 | 0.6667 | 0.8095 | 0.6667 |
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+ | 0.0004 | 237.0 | 2370 | 0.6007 | 0.6667 | 0.8095 | 0.6667 |
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  ### Framework versions
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