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End of training

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README.md CHANGED
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: google-bert/bert-large-cased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # germanic_populist_eng
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- This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-large-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1934
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- - Accuracy: 0.9386
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- - F1: 0.0
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  ## Model description
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@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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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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- | 0.2272 | 1.0 | 701 | 0.1895 | 0.9386 | 0.0 |
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- | 0.2208 | 2.0 | 1402 | 0.2406 | 0.9386 | 0.0 |
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- | 0.1895 | 3.0 | 2103 | 0.1934 | 0.9386 | 0.0 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: google-bert/bert-base-multilingual-cased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # germanic_populist_eng
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+ This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1896
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+ - Accuracy: 0.9440
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+ - F1: 0.3985
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  ## Model description
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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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+ | 0.191 | 1.0 | 701 | 0.1594 | 0.9379 | 0.3409 |
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+ | 0.1461 | 2.0 | 1402 | 0.2252 | 0.9429 | 0.1667 |
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+ | 0.116 | 3.0 | 2103 | 0.1896 | 0.9440 | 0.3985 |
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  ### Framework versions
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