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README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Wound-Image-classification
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Wound-Image-classification
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1209
+- Accuracy: 0.965
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0919        | 1.0   | 200  | 0.7780          | 0.76     |
+| 0.6157        | 2.0   | 400  | 0.5695          | 0.7925   |
+| 0.4894        | 3.0   | 600  | 0.3667          | 0.8775   |
+| 0.3786        | 4.0   | 800  | 0.4436          | 0.8625   |
+| 0.3142        | 5.0   | 1000 | 0.4412          | 0.8625   |
+| 0.2636        | 6.0   | 1200 | 0.4430          | 0.86     |
+| 0.198         | 7.0   | 1400 | 0.2760          | 0.9175   |
+| 0.1456        | 8.0   | 1600 | 0.2211          | 0.93     |
+| 0.1586        | 9.0   | 1800 | 0.3520          | 0.905    |
+| 0.1307        | 10.0  | 2000 | 0.3188          | 0.9175   |
+| 0.106         | 11.0  | 2200 | 0.3167          | 0.925    |
+| 0.0975        | 12.0  | 2400 | 0.2633          | 0.92     |
+| 0.0734        | 13.0  | 2600 | 0.1813          | 0.9525   |
+| 0.0994        | 14.0  | 2800 | 0.2150          | 0.945    |
+| 0.0622        | 15.0  | 3000 | 0.1757          | 0.955    |
+| 0.0609        | 16.0  | 3200 | 0.1209          | 0.965    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Abrasions",
+    "1": "Bruises",
+    "2": "Burns",
+    "3": "Cut",
+    "4": "Diabetic Wounds",
+    "5": "Laseration",
+    "6": "Normal",
+    "7": "Pressure Wounds",
+    "8": "Surgical Wounds",
+    "9": "Venous Wounds"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Abrasions": "0",
+    "Bruises": "1",
+    "Burns": "2",
+    "Cut": "3",
+    "Diabetic Wounds": "4",
+    "Laseration": "5",
+    "Normal": "6",
+    "Pressure Wounds": "7",
+    "Surgical Wounds": "8",
+    "Venous Wounds": "9"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:978096c4a7925df8cc207df6bcd7b389bae886e7f932298fcaccf07a89ee6595
+size 343248584

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": 224,
+    "width": 224
+  }
+}

training_args.bin

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+size 4920