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Misinformation-Covid-bert-base-german-cased

Text Classification
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PyTorch
bert
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  1. README.md +12 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -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 [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8485
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- - F1: 0.5366
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.6693 | 1.0 | 201 | 0.6232 | 0.4 |
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- | 0.5901 | 2.0 | 402 | 0.5644 | 0.4321 |
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- | 0.5235 | 3.0 | 603 | 0.5257 | 0.5192 |
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- | 0.4525 | 4.0 | 804 | 0.5301 | 0.5149 |
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- | 0.4244 | 5.0 | 1005 | 0.6341 | 0.5349 |
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- | 0.4167 | 6.0 | 1206 | 0.6546 | 0.5169 |
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- | 0.3718 | 7.0 | 1407 | 0.7417 | 0.5366 |
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- | 0.3626 | 8.0 | 1608 | 0.8642 | 0.5455 |
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- | 0.3884 | 9.0 | 1809 | 0.8662 | 0.5385 |
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- | 0.3962 | 10.0 | 2010 | 0.8485 | 0.5366 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7182
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+ - F1: 0.3333
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6609 | 1.0 | 189 | 0.6062 | 0.0 |
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+ | 0.6168 | 2.0 | 378 | 0.5649 | 0.1818 |
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+ | 0.5638 | 3.0 | 567 | 0.5665 | 0.1818 |
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+ | 0.5382 | 4.0 | 756 | 0.5790 | 0.2128 |
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+ | 0.5399 | 5.0 | 945 | 0.5459 | 0.3284 |
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+ | 0.4745 | 6.0 | 1134 | 0.7525 | 0.3265 |
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+ | 0.5061 | 7.0 | 1323 | 0.6379 | 0.3529 |
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+ | 0.377 | 8.0 | 1512 | 0.6965 | 0.3692 |
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+ | 0.4159 | 9.0 | 1701 | 0.7172 | 0.3478 |
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+ | 0.3924 | 10.0 | 1890 | 0.7182 | 0.3333 |
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  ### Framework versions
pytorch_model.bin CHANGED
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