Commit ·
26017b9
1
Parent(s): 320af82
Training in progress, epoch 0
Browse files- config.json +39 -0
- preprocessor_config.json +26 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "google/mobilenet_v2_1.0_224",
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"architectures": [
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"MobileNetV2ForImageClassification"
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],
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"classifier_dropout_prob": 0.2,
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"depth_divisible_by": 8,
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"depth_multiplier": 1.0,
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"expand_ratio": 6,
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"finegrained_output": true,
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"first_layer_is_expansion": true,
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"hidden_act": "relu6",
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"id2label": {
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"0": "DRINK",
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"1": "FOOD",
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"2": "INSIDE",
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"3": "MENU",
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"4": "OUTSIDE"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"DRINK": 0,
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"FOOD": 1,
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"INSIDE": 2,
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"MENU": 3,
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"OUTSIDE": 4
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},
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"layer_norm_eps": 0.001,
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"min_depth": 8,
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"model_type": "mobilenet_v2",
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"num_channels": 3,
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"output_stride": 32,
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"problem_type": "single_label_classification",
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"semantic_loss_ignore_index": 255,
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"tf_padding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.33.1"
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}
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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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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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "MobileNetV2ImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 256
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b50af6bc2dbfff85a86701204a5900e2f0c8062527a3e5549f443856caf9725a
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size 9161589
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:894056fbe6d2ce3b0fcff3c3eac54721c8f00dcb382e2a1103e13867e81469b1
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size 4091
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