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config.json

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+{
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+  "architectures": [
+    "ViTForImageClassification"
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+  "id2label": {
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+    "1": "large cell carcinoma",
+    "2": "normal",
+    "3": "squamous cell carcinoma"
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+  "label2id": {
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+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
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+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1"
+}

optimizer.pt

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preprocessor_config.json

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+  "do_resize": true,
+  "image_mean": [
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pytorch_model.bin

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rng_state.pth

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scheduler.pt

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trainer_state.json

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training_args.bin

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