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README.md

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----
-license: cc-by-nc-sa-4.0
----
+# ch-observations-12-12-2023-200530
+## Description
+Fine-tuned vit_large_patch16 model for ch-observations-12-12-2023-200530
+
+## Use Cases
+- Use case 1
+- Use case 2
+
+## Limitations
+- Limitation 1
+- Limitation 2
+
+## Ethics
+- Ethics 1
+- Ethics 2
+
+## Training Data
+420 images from 9 classes
+
+## Training Procedure
+Fine-tuned for 1 epochs with batch size 10 and base learning rate 0.005
+
+## Intended Use
+Intended for use with ch-observations
+
+## Authors
+- Author 1
+- Author 2
+
+## References
+- Reference 1
+- Reference 2

_metrics_test.csv

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+0.824468085106383,0.125,0.875,nan,0.46879739269445153,0.13078102709831613,nan,0.0,2.0616 (2.1209)

_metrics_val.csv

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+0.8260869565217391,0.125,0.875,nan,0.5113370591314772,0.14641543657977882,nan,0.0,2.0563 (2.1143)

checkpoint-best.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6e93518293d54e2ea7333758202c8dc720d430c7c644ae1642cdca9103aad50a
+size 3640773295

config.json

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+{
+  "architectures": [
+    "VisionTransformerForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8"
+  },
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8
+  },
+  "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": "4.30.2"
+}

config_vit.json

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+{
+  "architectures": [
+    "VisionTransformerForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8"
+  },
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8
+  },
+  "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": "4.30.2"
+}

dataset_info.json

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+{"num_classes": 9, "classes": ["cotton wool spot", "db heme", "dr wo csme", "exudate", "large cd ratio", "microaneurysm", "normal", "npdr mild wo csme", "npdr moderate wo csme"], "num_training_images": 420}

model_card.json

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+{"model_name": "ch-observations-12-12-2023-200530", "model_type": "vit", "architecture": "vit_large_patch16", "description": "Fine-tuned vit_large_patch16 model for ch-observations-12-12-2023-200530", "use_cases": ["Use case 1", "Use case 2"], "limitations": ["Limitation 1", "Limitation 2"], "ethics": ["Ethics 1", "Ethics 2"], "training_data": "420 images from 9 classes", "training_procedure": "Fine-tuned for 1 epochs with batch size 10 and base learning rate 0.005", "intended_use": "Intended for use with ch-observations", "authors": ["Author 1", "Author 2"], "references": ["Reference 1", "Reference 2"]}

preprocessor_config.json

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+{"preprocess": {"resize": [256, 256], "normalize": {"mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225]}}}

pytorch_model.bin

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+oid sha256:8858bda82f0d471403c350109077d68c28335ea3c63569f07ba68ec328411aa8
+size 1217401839

requirements.txt

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+torch==1.8.1+cu111
+timm==0.3.2
+torchvision==0.9.1+cu111
+torchaudio==0.8.1
+opencv-python>=4.5.3.56
+pandas>=0.25.3
+Pillow>=8.3.1
+protobuf>=3.17.3
+pycm>=3.2
+pydicom>=2.3.0
+scikit-image>=0.17.2
+scikit-learn>=0.24.2
+scipy>=1.5.4
+tensorboard>=2.6.0
+tensorboard-data-server>=0.6.1
+tensorboard-plugin-wit>=1.8.0
+tqdm>=4.62.1
+einops>=0.3.0
+h5py>=2.8.0
+imageio>=2.9.0
+matplotlib>=3.3.2
+tqdm>=4.51.0
+transformers>=3.5.1
+utils>=1.0.1
+Pygments>=2.7.4
+pytorch-msssim>=1.0.0
+toml

training_config.json

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+{"batch_size": 10, "epochs": 1, "model": "vit_large_patch16", "base_learning_rate": 0.005, "layer_decay": 0.65, "weight_decay": 0.05, "drop_path_rate": 0.2, "input_size": 256, "num_classes": 9, "task": "./models/ch-observations-12-12-2023-200530/", "output_dir": "X:\\code\\UIaEYE\\data\\Cherry Health\\images\\segmented\\dataset-clean and trimmed-tags-12-02-2023-022946\\observations\\_datasets\\_dataset_12-10-2023-161414\\training_data\\outputs\\_artifacts_12-12-2023-200530", "world_size": 1, "finetune": "D:\\\\data\\\\RetFound\\\\weights\\\\RETFound_cfp_weights.pth", "rmbg": true}