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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/electra-large-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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model-index: |
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- name: deberta-v3-hybrid-detector |
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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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# deberta-v3-hybrid-detector |
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This model is a fine-tuned version of [google/electra-large-discriminator](https://huggingface.co/google/electra-large-discriminator) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0564 |
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- Accuracy: 0.9654 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.0926 | 0.125 | 1000 | 0.0443 | 0.9446 | |
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| 0.0565 | 0.25 | 2000 | 0.0480 | 0.9251 | |
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| 0.0442 | 0.375 | 3000 | 0.2126 | 0.8871 | |
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| 0.0383 | 0.5 | 4000 | 0.0716 | 0.9479 | |
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| 0.0332 | 0.625 | 5000 | 0.2383 | 0.8774 | |
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| 0.0253 | 0.75 | 6000 | 0.0347 | 0.9706 | |
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| 0.0168 | 0.875 | 7000 | 0.0347 | 0.9795 | |
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| 0.0117 | 1.0 | 8000 | 0.0564 | 0.9654 | |
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### Framework versions |
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- Transformers 4.57.3 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.4.2 |
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- Tokenizers 0.22.1 |
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