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: 0.87
+  - roc_auc: 0.76
+  - best threshold according to F1: 0.13
+---
+
+# Binary Classification Model
+
+## Evaluation Results
+
+**Average Precision:** 0.87  
+**ROC AUC:** 0.76
+**best threshold according to F1: 0.13
+
+
+## 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-5/config.json

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+{
+  "_name_or_path": "GenetikaPlus/binary_classification_model_v3.1.3_junctions",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 256,
+  "image_size": 32,
+  "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": "4.46.2"
+}

checkpoint-5/model.safetensors

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checkpoint-5/optimizer.pt

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checkpoint-5/preprocessor_config.json

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+{
+  "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-5/rng_state.pth

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checkpoint-5/scheduler.pt

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checkpoint-5/trainer_state.json

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+{
+  "best_metric": 0.8960872354073124,
+  "best_model_checkpoint": "/tmp/logs/binary_classification_model_v3.1.5_junctions/checkpoint-5",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 5,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.2,
+      "grad_norm": 1199763.125,
+      "learning_rate": 2.2614201718679333e-08,
+      "loss": 0.4418,
+      "step": 1
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+    {
+      "epoch": 0.4,
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+      "learning_rate": 4.5228403437358665e-08,
+      "loss": 0.4503,
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+      "learning_rate": 1.1307100859339666e-07,
+      "loss": 0.4085,
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+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8534599728629579,
+      "eval_f1": 0.8960872354073124,
+      "eval_loss": 0.42866843938827515,
+      "eval_precision": 0.8769617074701821,
+      "eval_recall": 0.9160655737704918,
+      "eval_runtime": 2.9509,
+      "eval_samples_per_second": 749.269,
+      "eval_steps_per_second": 0.678,
+      "step": 5
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 250,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 50,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
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+      "attributes": {}
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+  },
+  "total_flos": 348664733024256.0,
+  "train_batch_size": 2048,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-5/training_args.bin

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config.json

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+{
+  "_name_or_path": "GenetikaPlus/binary_classification_model_v3.1.3_junctions",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 256,
+  "image_size": 32,
+  "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": "4.46.2"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "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
+  }
+}

training_args.bin

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