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--- |
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library_name: transformers |
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base_model: Ajayk/Truviz-ai-detect |
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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: Truviz-ai-detect-new |
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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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# Truviz-ai-detect-new |
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This model is a fine-tuned version of [Ajayk/Truviz-ai-detect](https://huggingface.co/Ajayk/Truviz-ai-detect) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2677 |
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- Accuracy: 0.9423 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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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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| 0.3847 | 0.1 | 500 | 0.2306 | 0.9071 | |
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| 0.2661 | 0.2 | 1000 | 0.4132 | 0.8855 | |
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| 0.2539 | 0.3 | 1500 | 0.2856 | 0.9146 | |
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| 0.2548 | 0.4 | 2000 | 0.2069 | 0.9295 | |
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| 0.1454 | 0.5 | 2500 | 0.3659 | 0.9212 | |
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| 0.2236 | 0.6 | 3000 | 0.2453 | 0.9344 | |
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| 0.2285 | 0.7 | 3500 | 0.1480 | 0.9497 | |
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| 0.2007 | 0.8 | 4000 | 0.2612 | 0.9229 | |
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| 0.2503 | 0.9 | 4500 | 0.2008 | 0.9384 | |
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| 0.2128 | 1.0 | 5000 | 0.1633 | 0.953 | |
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| 0.0849 | 1.1 | 5500 | 0.2167 | 0.9538 | |
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| 0.0706 | 1.2 | 6000 | 0.3862 | 0.9347 | |
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| 0.0915 | 1.3 | 6500 | 0.2781 | 0.9487 | |
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| 0.1187 | 1.4 | 7000 | 0.2677 | 0.9423 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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