Training in progress epoch 0

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: YKXBCi/vit-base-patch16-224-in21k-aidSat
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# YKXBCi/vit-base-patch16-224-in21k-aidSat
+
+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:
+- Train Loss: 2.3544
+- Train Accuracy: 0.7383
+- Train Top-3-accuracy: 0.8687
+- Validation Loss: 1.5415
+- Validation Accuracy: 0.9266
+- Validation Top-3-accuracy: 0.9857
+- Epoch: 0
+
+## 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:
+- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1325, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
+|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 2.3544     | 0.7383         | 0.8687               | 1.5415          | 0.9266              | 0.9857                    | 0     |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- TensorFlow 2.6.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1

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": "Airport",
+    "1": "BareLand",
+    "10": "Farmland",
+    "11": "Forest",
+    "12": "Industrial",
+    "13": "Meadow",
+    "14": "MediumResidential",
+    "15": "Mountain",
+    "16": "Park",
+    "17": "Parking",
+    "18": "Playground",
+    "19": "Pond",
+    "2": "BaseballField",
+    "20": "Port",
+    "21": "RailwayStation",
+    "22": "Resort",
+    "23": "River",
+    "24": "School",
+    "25": "SparseResidential",
+    "26": "Square",
+    "27": "Stadium",
+    "28": "StorageTanks",
+    "29": "Viaduct",
+    "3": "Beach",
+    "4": "Bridge",
+    "5": "Center",
+    "6": "Church",
+    "7": "Commercial",
+    "8": "DenseResidential",
+    "9": "Desert"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Airport": "0",
+    "BareLand": "1",
+    "BaseballField": "2",
+    "Beach": "3",
+    "Bridge": "4",
+    "Center": "5",
+    "Church": "6",
+    "Commercial": "7",
+    "DenseResidential": "8",
+    "Desert": "9",
+    "Farmland": "10",
+    "Forest": "11",
+    "Industrial": "12",
+    "Meadow": "13",
+    "MediumResidential": "14",
+    "Mountain": "15",
+    "Park": "16",
+    "Parking": "17",
+    "Playground": "18",
+    "Pond": "19",
+    "Port": "20",
+    "RailwayStation": "21",
+    "Resort": "22",
+    "River": "23",
+    "School": "24",
+    "SparseResidential": "25",
+    "Square": "26",
+    "Stadium": "27",
+    "StorageTanks": "28",
+    "Viaduct": "29"
+  },
+  "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,
+  "transformers_version": "4.18.0"
+}

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