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: 0.1798
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- Precision: 0.5583
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- Recall: 0.5910
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- F1: 0.5742
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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 | 0.1235 | 0.5622 | 0.4430 | 0.4955 |
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| 0.1033 | 2.0 | 612 | 0.1375 | 0.5447 | 0.6089 | 0.5750 |
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| 0.1033 | 3.0 | 918 | 0.1798 | 0.5583 | 0.5910 | 0.5742 |
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### Framework versions
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model.safetensors
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runs/May19_14-45-05_54e05bb8fb08/events.out.tfevents.1716129905.54e05bb8fb08.27661.0
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