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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": "Baseball",
+    "1": "Basketball",
+    "2": "Football",
+    "3": "Soccer"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Baseball": "0",
+    "Basketball": "1",
+    "Football": "2",
+    "Soccer": "3"
+  },
+  "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": "4.29.2"
+}

optimizer.pt

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preprocessor_config.json

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+{
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+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
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+  "rescale_factor": 0.00392156862745098,
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+    "width": 224
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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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+{
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+  "best_model_checkpoint": "./vit-base-beans/checkpoint-40",
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+  "num_train_epochs": 4,
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+}

training_args.bin

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