TheNewPing
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End of training
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README.md
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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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model-index:
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- name: bert-base
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results: []
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# bert-base
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.36.2
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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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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: bert-base
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results: []
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# bert-base
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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: 0.5726
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- Accuracy: 0.6855
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- Precision: 0.6780
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- Recall: 0.7066
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- F1: 0.6920
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.6944 | 1.0 | 1074 | 0.6932 | 0.4921 | 0.4901 | 0.3924 | 0.4359 |
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| 0.6935 | 2.0 | 2148 | 0.6914 | 0.5337 | 0.5443 | 0.4139 | 0.4702 |
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| 0.5977 | 3.0 | 3222 | 0.5726 | 0.6855 | 0.6780 | 0.7066 | 0.6920 |
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### Framework versions
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- Transformers 4.36.2
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