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README.md
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The model's training data includes a proprietary dataset comprising approximately 80,000 images. This dataset encompasses a significant amount of variability and consists of two distinct classes: "normal" and "nsfw." The training process on this data aimed to equip the model with the ability to distinguish between safe and explicit content effectively.
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**Note:** It's essential to use this model responsibly and ethically, adhering to content guidelines and applicable regulations when implementing it in real-world applications, particularly those involving potentially sensitive content.
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For more details on model fine-tuning and usage, please refer to the model's documentation and the model hub.
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The model's training data includes a proprietary dataset comprising approximately 80,000 images. This dataset encompasses a significant amount of variability and consists of two distinct classes: "normal" and "nsfw." The training process on this data aimed to equip the model with the ability to distinguish between safe and explicit content effectively.
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### Training Stats
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``` markdown
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- 'eval_loss': 0.07463177293539047,
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- 'eval_accuracy': 0.980375,
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- 'eval_runtime': 304.9846,
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- 'eval_samples_per_second': 52.462,
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- 'eval_steps_per_second': 3.279
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```
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<hr>
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**Note:** It's essential to use this model responsibly and ethically, adhering to content guidelines and applicable regulations when implementing it in real-world applications, particularly those involving potentially sensitive content.
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For more details on model fine-tuning and usage, please refer to the model's documentation and the model hub.
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