Add evaluation results and output files to model card

README.md

@@ -5,18 +5,18 @@ tags:
   - model
   - evaluation
 metrics:
-  - average_precision: 0.50
-  - roc_auc: 0.37
-  - best threshold according to F1: 0.03
+  - average_precision: 0.94
+  - roc_auc: 0.91
+  - best threshold according to F1: 0.38
 ---
 
 # Binary Classification Model
 
 ## Evaluation Results
 
-**Average Precision:** 0.50  
-**ROC AUC:** 0.37
-**best threshold according to F1: 0.03
+**Average Precision:** 0.94  
+**ROC AUC:** 0.91
+**best threshold according to F1: 0.38
 
 
 ## Visualizations

checkpoint-1176/config.json

@@ -0,0 +1,22 @@
+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 256,
+  "image_size": 64,
+  "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": 4,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0"
+}

checkpoint-1176/model.safetensors

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checkpoint-1176/optimizer.pt

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checkpoint-1176/preprocessor_config.json

@@ -0,0 +1,23 @@
+{
+  "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": 32,
+    "width": 32
+  }
+}

checkpoint-1176/rng_state.pth

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checkpoint-1176/scheduler.pt

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checkpoint-1176/training_args.bin

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config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "GenetikaPlus/binary_classification_model_v3.1.5_Junction",
   "architectures": [
     "ViTForImageClassification"
   ],
@@ -8,7 +7,7 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
   "hidden_size": 256,
-  "image_size": 32,
+  "image_size": 64,
   "initializer_range": 0.02,
   "intermediate_size": 512,
   "layer_norm_eps": 1e-12,

model.safetensors

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training_args.bin

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