Training in progress epoch 0

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: YKXBCi/resnet-50-ucSat
+  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/resnet-50-ucSat
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 2.6504
+- Train Accuracy: 0.2057
+- Train Top-3-accuracy: 0.3591
+- Validation Loss: 2.2693
+- Validation Accuracy: 0.3299
+- Validation Top-3-accuracy: 0.5069
+- 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': 275, '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 |
+|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 2.6504     | 0.2057         | 0.3591               | 2.2693          | 0.3299              | 0.5069                    | 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": "microsoft/resnet-50",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    3,
+    4,
+    6,
+    3
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "encoder_stride": 16,
+  "hidden_act": "relu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "agricultural",
+    "1": "airplane",
+    "10": "harbor",
+    "11": "intersection",
+    "12": "mediumresidential",
+    "13": "mobilehomepark",
+    "14": "overpass",
+    "15": "parkinglot",
+    "16": "river",
+    "17": "runway",
+    "18": "sparseresidential",
+    "19": "storagetanks",
+    "2": "baseballdiamond",
+    "20": "tenniscourt",
+    "3": "beach",
+    "4": "buildings",
+    "5": "chaparral",
+    "6": "denseresidential",
+    "7": "forest",
+    "8": "freeway",
+    "9": "golfcourse"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "agricultural": "0",
+    "airplane": "1",
+    "baseballdiamond": "2",
+    "beach": "3",
+    "buildings": "4",
+    "chaparral": "5",
+    "denseresidential": "6",
+    "forest": "7",
+    "freeway": "8",
+    "golfcourse": "9",
+    "harbor": "10",
+    "intersection": "11",
+    "mediumresidential": "12",
+    "mobilehomepark": "13",
+    "overpass": "14",
+    "parkinglot": "15",
+    "river": "16",
+    "runway": "17",
+    "sparseresidential": "18",
+    "storagetanks": "19",
+    "tenniscourt": "20"
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_type": "bottleneck",
+  "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": "4.18.0"
+}

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