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Farjfar
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BERT-Libertarian

Token Classification
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bert
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End of training

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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/May21_15-02-11_106c40bf8134/events.out.tfevents.1716303733.106c40bf8134.357.14 +2 -2
  4. runs/May21_15-03-03_106c40bf8134/events.out.tfevents.1716303785.106c40bf8134.357.16 +2 -2
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.3498
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- - Precision: 0.5939
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- - Recall: 0.5605
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- - F1: 0.5767
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  ## Model description
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@@ -53,9 +53,9 @@ 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 | 302 | 0.2395 | 0.5539 | 0.5420 | 0.5479 |
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- | 0.2014 | 2.0 | 604 | 0.3445 | 0.6157 | 0.4990 | 0.5512 |
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- | 0.2014 | 3.0 | 906 | 0.3498 | 0.5939 | 0.5605 | 0.5767 |
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  ### Framework versions
 
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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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