X-ray-ai-detection
Browse files- README.md +55 -0
- config.json +63 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: umm-maybe/AI-image-detector
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tags:
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- generated_from_trainer
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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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<!-- 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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# results
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This model is a fine-tuned version of [umm-maybe/AI-image-detector](https://huggingface.co/umm-maybe/AI-image-detector) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0554
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- eval_accuracy: 0.9842
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- eval_runtime: 88.2511
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- eval_samples_per_second: 25.065
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- eval_steps_per_second: 3.139
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- epoch: 0.09
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- step: 100
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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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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "umm-maybe/AI-image-detector",
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"architectures": [
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"SwinForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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18,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 128,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "artificial",
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"1": "human"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"artificial": "0",
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"human": "1"
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},
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"layer_norm_eps": 1e-05,
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"max_length": 128,
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"mlp_ratio": 4.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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4,
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8,
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16,
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32
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],
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"num_layers": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"padding": "max_length",
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"patch_size": 4,
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"path_norm": true,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"use_absolute_embeddings": false,
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"window_size": 7
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:309765249ddaf9a0be789c5d4f0124b026fa3a767608890595ba403ffa796956
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size 347498816
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:49424b10287be137405df23bf4458f99754543aa611f8d41259833b619e43964
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size 4536
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