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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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Files changed (3) hide show
  1. README.md +11 -12
  2. model.safetensors +1 -1
  3. runs/May19_16-00-39_4a16901c767a/events.out.tfevents.1716134440.4a16901c767a.1826.0 +2 -2
README.md CHANGED
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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:
@@ -17,12 +16,12 @@ 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-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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  ---
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+ base_model: cambridgeltl/tacl-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 [cambridgeltl/tacl-bert-base-uncased](https://huggingface.co/cambridgeltl/tacl-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: 0.1111
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+ - Precision: 0.5074
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+ - Recall: 0.5881
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+ - F1: 0.5448
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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 | 0.0830 | 0.4479 | 0.5367 | 0.4883 |
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+ | 0.0865 | 2.0 | 612 | 0.0929 | 0.4781 | 0.5632 | 0.5172 |
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+ | 0.0865 | 3.0 | 918 | 0.1111 | 0.5074 | 0.5881 | 0.5448 |
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  ### Framework versions
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