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End of training
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README.md
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base_model: google/electra-base-discriminator
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tags:
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- generated_from_trainer
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model-index:
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- name: electra-base
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results: []
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# electra-base
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This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) 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: google/electra-base-discriminator
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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: electra-base
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results: []
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# electra-base
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This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3373
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- Accuracy: 0.8875
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- Precision: 0.8919
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- Recall: 0.8818
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- F1: 0.8868
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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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| 0.3187 | 1.0 | 1074 | 0.3036 | 0.8785 | 0.8880 | 0.8663 | 0.8770 |
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| 0.228 | 2.0 | 2148 | 0.3022 | 0.8861 | 0.8921 | 0.8785 | 0.8853 |
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| 0.1759 | 3.0 | 3222 | 0.3373 | 0.8875 | 0.8919 | 0.8818 | 0.8868 |
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### Framework versions
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- Transformers 4.36.2
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