Upload winning ResNet-18 cloud classifier
Browse files- config.json +52 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
config.json
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{
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"architectures": [
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"ResNetForImageClassification"
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],
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"depths": [
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2,
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2,
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2,
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2
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],
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"downsample_in_bottleneck": false,
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"downsample_in_first_stage": false,
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"dtype": "float32",
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"embedding_size": 64,
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"hidden_act": "relu",
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"hidden_sizes": [
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64,
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128,
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256,
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512
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],
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"id2label": {
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"0": "Cumulus",
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"1": "Cirrus",
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"2": "Altocumulus",
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"3": "Stratocumulus"
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},
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"label2id": {
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"Altocumulus": 2,
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"Cirrus": 1,
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"Cumulus": 0,
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"Stratocumulus": 3
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},
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"layer_type": "basic",
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"model_type": "resnet",
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"num_channels": 3,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"problem_type": "single_label_classification",
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"transformers_version": "5.18.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ce778b874be5b99dbf0f0be2558970a6cca16b37ae4eb535241976a8dca9554
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size 44768440
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preprocessor_config.json
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{
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"crop_pct": 0.875,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ConvNextImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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