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End of training

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README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: bert-base-cased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # BERT-Libertarian
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- This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1798
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- - Precision: 0.5583
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- - Recall: 0.5910
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- - F1: 0.5742
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  ## Model description
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@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 306 | 0.1235 | 0.5622 | 0.4430 | 0.4955 |
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- | 0.1033 | 2.0 | 612 | 0.1375 | 0.5447 | 0.6089 | 0.5750 |
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- | 0.1033 | 3.0 | 918 | 0.1798 | 0.5583 | 0.5910 | 0.5742 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # BERT-Libertarian
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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: 0.2033
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+ - Precision: 0.0
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+ - Recall: 0.0
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+ - F1: 0.0
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|
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+ | No log | 1.0 | 306 | 0.2012 | 0.0 | 0.0 | 0.0 |
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+ | 0.9403 | 2.0 | 612 | 0.2023 | 0.0 | 0.0 | 0.0 |
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+ | 0.9403 | 3.0 | 918 | 0.2033 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
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