Add evaluation results and output files to model card

README.md

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+---
+language: code
+tags:
+  - binary-classification
+  - model
+  - evaluation
+metrics:
+  - average_precision: 0.93
+  - roc_auc: 0.74
+  - best threshold according to F1: 0.46
+---
+
+# Binary Classification Model
+
+## Evaluation Results
+
+**Average Precision:** 0.93  
+**ROC AUC:** 0.74
+**best threshold according to F1: 0.46
+
+
+## Visualizations
+
+### Precision-Recall Curve
+![Precision-Recall Curve](./pr_curve.png)
+
+### ROC Curve
+![ROC Curve](./roc_curve.png)
+
+## Output Files and Directories
+
+- 📂 `checkpoint-171/`
+- `config.json`
+- `model.safetensors`
+- `preprocessor_config.json`
+- `training_args.bin`

checkpoint-250/config.json

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+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 256,
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 8,
+  "num_channels": 3,
+  "num_hidden_layers": 4,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0"
+}

checkpoint-250/model.safetensors

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checkpoint-250/optimizer.pt

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checkpoint-250/preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": false,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 256,
+    "width": 256
+  }
+}

checkpoint-250/rng_state.pth

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+size 14244

checkpoint-250/scheduler.pt

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+size 1064

checkpoint-250/training_args.bin

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config.json

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+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 256,
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 8,
+  "num_channels": 3,
+  "num_hidden_layers": 4,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0"
+}

model.safetensors

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+size 9497424

preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": false,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 256,
+    "width": 256
+  }
+}

training_args.bin

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