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End of training

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README.md CHANGED
@@ -1,7 +1,7 @@
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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_antielite_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: 0.3879
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- - Accuracy: 0.8994
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- - F1: 0.4758
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  ## Model description
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@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.2439 | 1.0 | 701 | 0.2366 | 0.9026 | 0.5081 |
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- | 0.1779 | 2.0 | 1402 | 0.3256 | 0.9037 | 0.4643 |
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- | 0.1365 | 3.0 | 2103 | 0.3879 | 0.8994 | 0.4758 |
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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_antielite_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: 0.3246
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+ - Accuracy: 0.9130
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+ - F1: 0.5271
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.2293 | 1.0 | 701 | 0.2211 | 0.9005 | 0.4645 |
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+ | 0.1704 | 2.0 | 1402 | 0.2803 | 0.9165 | 0.4429 |
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+ | 0.11 | 3.0 | 2103 | 0.3246 | 0.9130 | 0.5271 |
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  ### Framework versions
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