Delete ImageModel_epoch2
Browse files- ImageModel_epoch2/checkpoint-3571/config.json +0 -32
- ImageModel_epoch2/checkpoint-3571/model.safetensors +0 -3
- ImageModel_epoch2/checkpoint-3571/optimizer.pt +0 -3
- ImageModel_epoch2/checkpoint-3571/preprocessor_config.json +0 -23
- ImageModel_epoch2/checkpoint-3571/rng_state.pth +0 -3
- ImageModel_epoch2/checkpoint-3571/scheduler.pt +0 -3
- ImageModel_epoch2/checkpoint-3571/trainer_state.json +0 -92
- ImageModel_epoch2/checkpoint-3571/training_args.bin +0 -3
- ImageModel_epoch2/config.json +0 -32
- ImageModel_epoch2/model.safetensors +0 -3
- ImageModel_epoch2/preprocessor_config.json +0 -23
- ImageModel_epoch2/training_args.bin +0 -3
ImageModel_epoch2/checkpoint-3571/config.json
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{
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"_name_or_path": "dima806/deepfake_vs_real_image_detection",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "Real",
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"1": "Fake"
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Fake": 1,
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.47.0"
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ImageModel_epoch2/checkpoint-3571/model.safetensors
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ImageModel_epoch2/checkpoint-3571/optimizer.pt
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ImageModel_epoch2/checkpoint-3571/preprocessor_config.json
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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ImageModel_epoch2/checkpoint-3571/rng_state.pth
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ImageModel_epoch2/checkpoint-3571/scheduler.pt
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ImageModel_epoch2/checkpoint-3571/trainer_state.json
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"eval_steps": 500,
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ImageModel_epoch2/checkpoint-3571/training_args.bin
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ImageModel_epoch2/config.json
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{
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"_name_or_path": "dima806/deepfake_vs_real_image_detection",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "Real",
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"1": "Fake"
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"image_size": 224,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"transformers_version": "4.47.0"
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ImageModel_epoch2/model.safetensors
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ImageModel_epoch2/preprocessor_config.json
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ImageModel_epoch2/training_args.bin
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