Upload EfficientNetForImageClassification
Browse files- config.json +100 -0
- model.safetensors +3 -0
config.json
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{
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"_name_or_path": "google/efficientnet-b2",
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"architectures": [
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"EfficientNetForImageClassification"
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],
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"batch_norm_eps": 0.001,
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"batch_norm_momentum": 0.99,
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"depth_coefficient": 1.2,
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"depth_divisor": 8,
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"depthwise_padding": [
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5,
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8,
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16
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],
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"drop_connect_rate": 0.2,
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"dropout_rate": 0.3,
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"expand_ratios": [
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1,
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6,
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6,
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6,
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6,
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6,
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6
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],
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"hidden_act": "swish",
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"hidden_dim": 1408,
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"id2label": {
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"0": "1",
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"1": "2",
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"2": "3",
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"3": "4",
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"4": "5",
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"5": "6"
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},
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"image_size": 260,
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"in_channels": [
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32,
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16,
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24,
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40,
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80,
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112,
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192
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],
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"initializer_range": 0.02,
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"kernel_sizes": [
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3,
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3,
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5,
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3,
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5,
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5,
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3
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],
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"label2id": {
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"1": "0",
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"2": "1",
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"3": "2",
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"4": "3",
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"5": "4",
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"6": "5"
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},
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"model_type": "efficientnet",
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"num_block_repeats": [
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1,
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2,
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2,
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3,
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3,
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4,
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1
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],
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"num_channels": 3,
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"num_hidden_layers": 64,
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"out_channels": [
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16,
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24,
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40,
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80,
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112,
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192,
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320
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],
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"pooling_type": "mean",
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"problem_type": "single_label_classification",
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"squeeze_expansion_ratio": 0.25,
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"strides": [
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1,
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2,
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2,
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2,
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1,
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2,
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1
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],
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"width_coefficient": 1.1
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}
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model.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:ffcaf792bfa6bcec581b8a507b3ccbffc7f192505404e9c265cdf6f549376fb9
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size 31174192
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