End of training
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README.md
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---
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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-
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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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base_model: princeton-nlp/sup-simcse-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 [princeton-nlp/sup-simcse-bert-base-uncased](https://huggingface.co/princeton-nlp/sup-simcse-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: 0.1155
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- Precision: 0.4862
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- Recall: 0.6053
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- F1: 0.5393
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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 | 0.0852 | 0.4574 | 0.5772 | 0.5103 |
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| 0.0829 | 2.0 | 612 | 0.0979 | 0.4655 | 0.5897 | 0.5203 |
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| 0.0829 | 3.0 | 918 | 0.1155 | 0.4862 | 0.6053 | 0.5393 |
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### Framework versions
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model.safetensors
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runs/May19_08-00-45_868affc172b8/events.out.tfevents.1716105645.868affc172b8.460.3
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