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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+base_model: google/vit-large-patch32-384
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metrics
+loss: 0.1774035394191742
+
+f1: 0.9329446064139941
+
+precision: 0.954653937947494
+
+recall: 0.9122006841505131
+
+auc: 0.9865613292067112
+
+accuracy: 0.9547778214707039

checkpoint-16268/config.json

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+{
+  "_name_or_path": "google/vit-large-patch32-384",
+  "_num_labels": 2,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "negative": 0,
+    "positive": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 32,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0"
+}

checkpoint-16268/model.safetensors

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checkpoint-16268/optimizer.pt

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checkpoint-16268/rng_state.pth

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checkpoint-16268/scheduler.pt

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checkpoint-16268/training_args.bin

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config.json

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+{
+  "_name_or_path": "google/vit-large-patch32-384",
+  "_num_labels": 2,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "negative": 0,
+    "positive": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 32,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0"
+}

model.safetensors

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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": 384,
+    "width": 384
+  }
+}

runs/Oct04_20-30-32_PcMasterCarrera/events.out.tfevents.1728088233.PcMasterCarrera.269053.0

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runs/Oct04_20-30-32_PcMasterCarrera/events.out.tfevents.1728120979.PcMasterCarrera.269053.1

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training_args.bin

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training_params.json

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+{
+    "data_path": "Prostate158-PI-CAI-MRI-T2W-ADC-HBV-DWI-v01/autotrain-data",
+    "model": "google/vit-large-patch32-384",
+    "username": "Emilio407",
+    "lr": 0.00005,
+    "epochs": 600,
+    "batch_size": 100,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0005,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "train_split": "train",
+    "valid_split": "validation",
+    "logging_steps": -1,
+    "project_name": "Prostate158-PI-CAI-MRI-Tumor-T2W-ADC-HBV-DWI-v01",
+    "auto_find_batch_size": false,
+    "mixed_precision": "bf16",
+    "save_total_limit": 1,
+    "push_to_hub": false,
+    "eval_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "tensorboard",
+    "early_stopping_patience": 100,
+    "early_stopping_threshold": 0.01
+}