End of training
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README.md
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- recall
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model-index:
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- name: BERT-
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# BERT-
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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.
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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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| 0.
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### Framework versions
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- recall
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- f1
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model-index:
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- name: BERT-worldpolitics
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# BERT-worldpolitics
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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: 0.1773
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- Precision: 0.5895
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- Recall: 0.4879
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- F1: 0.5339
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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 | 0.1229 | 0.4522 | 0.3858 | 0.4164 |
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| 0.0968 | 2.0 | 612 | 0.1420 | 0.5316 | 0.5212 | 0.5264 |
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| 0.0968 | 3.0 | 918 | 0.1773 | 0.5895 | 0.4879 | 0.5339 |
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### Framework versions
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model.safetensors
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