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: 0.1700
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- Precision: 0.5721
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- Recall: 0.5533
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- F1: 0.5625
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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 | 0.1223 | 0.5281 | 0.4609 | 0.4922 |
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| 0.1096 | 2.0 | 612 | 0.1298 | 0.5102 | 0.6126 | 0.5567 |
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| 0.1096 | 3.0 | 918 | 0.1700 | 0.5721 | 0.5533 | 0.5625 |
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### Framework versions
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model.safetensors
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runs/May19_19-23-19_ad9b2bcda10b/events.out.tfevents.1716146600.ad9b2bcda10b.713.1
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