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mekjr1/longformer-ai-text-detector

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README.md ADDED
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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: allenai/longformer-base-4096
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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: results
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+ results: []
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+ ---
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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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+
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+ # results
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+
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+ This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9265
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+ - Accuracy: 0.881
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+ - Precision: 0.8604
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+ - Recall: 0.9788
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+ - F1: 0.9158
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 64
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+ - eval_batch_size: 64
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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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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.3194 | 1.0 | 157 | 0.4800 | 0.81 | 0.7827 | 0.9864 | 0.8728 |
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+ | 0.2475 | 2.0 | 314 | 0.3097 | 0.88 | 0.8670 | 0.9667 | 0.9142 |
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+ | 0.1697 | 3.0 | 471 | 0.5044 | 0.859 | 0.8291 | 0.9909 | 0.9028 |
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+ | 0.0833 | 4.0 | 628 | 0.3149 | 0.911 | 0.9243 | 0.9425 | 0.9333 |
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+ | 0.0582 | 5.0 | 785 | 0.5629 | 0.885 | 0.8709 | 0.9697 | 0.9177 |
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+ | 0.029 | 6.0 | 942 | 0.7728 | 0.873 | 0.8541 | 0.9743 | 0.9102 |
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+ | 0.0186 | 7.0 | 1099 | 1.0292 | 0.865 | 0.8355 | 0.9909 | 0.9066 |
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+ | 0.0007 | 8.0 | 1256 | 0.9823 | 0.875 | 0.8508 | 0.9834 | 0.9123 |
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+ | 0.0211 | 9.0 | 1413 | 0.8580 | 0.89 | 0.8708 | 0.9788 | 0.9217 |
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+ | 0.0086 | 10.0 | 1570 | 0.9265 | 0.881 | 0.8604 | 0.9788 | 0.9158 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.19.1
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