Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: VIT-VoxCelebSpoof-ConstantQ-Synthetic-Voice-Detection-New
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# VIT-VoxCelebSpoof-ConstantQ-Synthetic-Voice-Detection-New
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
+It achieves the following results on the evaluation set:
+- Accuracy: 1.0
+- F1: 1.0
+- Loss: 0.0000
+- Precision: 1.0
+- Recall: 1.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Accuracy | F1     | Validation Loss | Precision | Recall |
+|:-------------:|:-----:|:-----:|:--------:|:------:|:---------------:|:---------:|:------:|
+| 0.0           | 1.0   | 29527 | 0.9999   | 0.9999 | 0.0006          | 0.9999    | 1.0    |
+| 0.0           | 2.0   | 59054 | 1.0000   | 1.0000 | 0.0002          | 1.0       | 0.9999 |
+| 0.0           | 3.0   | 88581 | 1.0      | 1.0    | 0.0000          | 1.0       | 1.0    |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Bonafide",
+    "1": "Spoof"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Bonafide": "0",
+    "Spoof": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0"
+}

model.safetensors

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+size 343223968

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Jan23_01-30-15_Phoenix/events.out.tfevents.1705973416.Phoenix.9568.0

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runs/Jan23_03-39-09_Phoenix/events.out.tfevents.1705981152.Phoenix.15448.0

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runs/Jan23_11-09-25_Phoenix/events.out.tfevents.1706008169.Phoenix.33056.0

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runs/Jan23_14-39-00_Phoenix/events.out.tfevents.1706020743.Phoenix.26932.0

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training_args.bin

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