Training in progress, epoch 1
Browse files- config.json +103 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "google/efficientnet-b0",
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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": 1.0,
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"depth_divisor": 8,
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"depthwise_padding": [],
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"drop_connect_rate": 0.2,
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"dropout_rate": 0.2,
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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": 1280,
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"id2label": {
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"0": "Mild_Demented",
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"1": "Moderate_Demented",
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"2": "Non_Demented",
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"3": "Very_Mild_Demented"
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},
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"image_size": 224,
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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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"Mild_Demented": 0,
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"Moderate_Demented": 1,
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"Non_Demented": 2,
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"Very_Mild_Demented": 3
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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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"out_features": null,
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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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"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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"stage5",
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"stage6",
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"stage7"
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],
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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": "4.41.2",
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"width_coefficient": 1.0
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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 sha256:4e47dff17ff07d7427e06dd213485b62b89e62f23b370a93329bb1b7408203a6
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size 16265376
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training_args.bin
ADDED
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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 sha256:2c0a0f7e559cc099995b7a8f435f22d3fdc627bd5c8281a75c5444f333b04567
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size 5048
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