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BERT-ukpolitics

Token Classification
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Training in progress, step 500

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  1. README.md +11 -11
  2. model.safetensors +1 -1
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README.md CHANGED
@@ -8,21 +8,21 @@ metrics:
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  - recall
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  - f1
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  model-index:
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- - name: BERT-ukpolitics
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # BERT-ukpolitics
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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: 0.1119
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- - Precision: 0.6922
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- - Recall: 0.6077
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- - F1: 0.6472
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  ## Model description
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@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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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 | 0.0991 | 0.5836 | 0.5652 | 0.5742 |
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- | 0.1062 | 2.0 | 612 | 0.1117 | 0.6449 | 0.5953 | 0.6191 |
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- | 0.1062 | 3.0 | 918 | 0.1119 | 0.6922 | 0.6077 | 0.6472 |
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  ### Framework versions
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  - Transformers 4.40.2
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  - recall
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  - f1
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  model-index:
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+ - name: BERT-Libertarian
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: nan
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+ - Precision: 0.6101
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+ - Recall: 0.6414
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+ - F1: 0.6254
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  ## Model description
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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 | 302 | nan | 0.6213 | 0.4303 | 0.5085 |
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+ | 0.0 | 2.0 | 604 | nan | 0.6480 | 0.5338 | 0.5854 |
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+ | 0.0 | 3.0 | 906 | nan | 0.6101 | 0.6414 | 0.6254 |
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  ### Framework versions
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  - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
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