End of training
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README.md
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---
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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 [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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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 | 306 | 0.
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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-cased
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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-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: 0.1719
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- Precision: 0.5646
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- Recall: 0.5928
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- F1: 0.5784
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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 | 306 | 0.1170 | 0.5009 | 0.5156 | 0.5081 |
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| 0.1057 | 2.0 | 612 | 0.1382 | 0.5268 | 0.6013 | 0.5616 |
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| 0.1057 | 3.0 | 918 | 0.1719 | 0.5646 | 0.5928 | 0.5784 |
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### Framework versions
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model.safetensors
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runs/May19_07-51-00_868affc172b8/events.out.tfevents.1716105061.868affc172b8.460.0
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