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Farjfar
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BERT-politics

Token Classification
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bert
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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/May23_16-09-17_f3e5816089fc/events.out.tfevents.1716480558.f3e5816089fc.257.1 +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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1403
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- - Precision: 0.4926
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- - Recall: 0.5024
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- - F1: 0.4974
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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 | 0.1222 | 0.4955 | 0.3657 | 0.4208 |
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- | 0.1149 | 2.0 | 612 | 0.1239 | 0.5718 | 0.3977 | 0.4691 |
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- | 0.1149 | 3.0 | 918 | 0.1318 | 0.5444 | 0.4797 | 0.5100 |
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- | 0.0534 | 4.0 | 1224 | 0.1403 | 0.4926 | 0.5024 | 0.4974 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2282
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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 | 0.2648 | 0.0 | 0.0 | 0.0 |
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+ | 0.3517 | 2.0 | 612 | 0.2363 | 0.0 | 0.0 | 0.0 |
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+ | 0.3517 | 3.0 | 918 | 0.2301 | 0.0 | 0.0 | 0.0 |
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+ | 0.2116 | 4.0 | 1224 | 0.2282 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
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