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vit-base-patch16-224-in21k-euroSat

Image Classification
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  1. README.md +57 -0
  2. config.json +46 -0
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README.md CHANGED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: YKXBCi/vit-base-patch16-224-in21k-euroSat
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # YKXBCi/vit-base-patch16-224-in21k-euroSat
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4593
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+ - Train Accuracy: 0.9478
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+ - Train Top-3-accuracy: 0.9912
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+ - Validation Loss: 0.1558
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+ - Validation Accuracy: 0.9809
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+ - Validation Top-3-accuracy: 0.9995
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3585, '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}
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+ - training_precision: mixed_float16
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+
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+ ### Training results
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+
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+ | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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+ |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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+ | 0.4593 | 0.9478 | 0.9912 | 0.1558 | 0.9809 | 0.9995 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.18.0
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+ - TensorFlow 2.6.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.12.1
config.json ADDED
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+ {
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+ "_name_or_path": "google/vit-base-patch16-224-in21k",
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "encoder_stride": 16,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "River",
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+ "1": "AnnualCrop",
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+ "2": "HerbaceousVegetation",
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+ "3": "Industrial",
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+ "4": "Residential",
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+ "5": "Highway",
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+ "6": "Pasture",
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+ "7": "Forest",
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+ "8": "SeaLake",
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+ "9": "PermanentCrop"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "AnnualCrop": "1",
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+ "Forest": "7",
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+ "HerbaceousVegetation": "2",
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+ "Highway": "5",
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+ "Industrial": "3",
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+ "Pasture": "6",
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+ "PermanentCrop": "9",
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+ "Residential": "4",
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+ "River": "0",
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+ "SeaLake": "8"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "qkv_bias": true,
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+ "transformers_version": "4.18.0"
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+ }
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