Model save
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README.md
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license: apache-2.0
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base_model: dima806/deepfake_vs_real_image_detection
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tags:
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- image-classification
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# realFake-food
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This model is a fine-tuned version of [dima806/deepfake_vs_real_image_detection](https://huggingface.co/dima806/deepfake_vs_real_image_detection) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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### Framework versions
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license: apache-2.0
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base_model: dima806/deepfake_vs_real_image_detection
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8972602739726028
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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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# realFake-food
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This model is a fine-tuned version of [dima806/deepfake_vs_real_image_detection](https://huggingface.co/dima806/deepfake_vs_real_image_detection) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2854
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- Accuracy: 0.8973
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.3931 | 1.9231 | 100 | 0.3748 | 0.8288 |
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| 0.1422 | 3.8462 | 200 | 0.2854 | 0.8973 |
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### Framework versions
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model.safetensors
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runs/Aug22_17-43-12_95d27f699f23/events.out.tfevents.1724348602.95d27f699f23.377.2
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training_args.bin
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