End of training
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README.md
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---
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license: apache-2.0
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base_model: bert-base-
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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-
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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 results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1
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| No log | 1.0 | 306 | 0.
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| 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-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 [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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model.safetensors
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runs/May19_15-01-58_54e05bb8fb08/events.out.tfevents.1716130918.54e05bb8fb08.27661.1
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