Training in progress, epoch 0
Browse files
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": "ASCUS",
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"1": "Cancer",
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"2": "HSIL",
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"3": "LSIL",
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"4": "NILM",
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"5": "Non-Diagnostic"
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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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"ASCUS": 0,
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"Cancer": 1,
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"HSIL": 2,
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"LSIL": 3,
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"NILM": 4,
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"Non-Diagnostic": 5
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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": "4.42.4"
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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 sha256:330c3b12d8ca8fb7b90132e915389cadfd049fcd2488aaa45bd65fe80a5e2649
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size 9100712
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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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runs/Aug28_07-30-12_0386e2fe2c9d/events.out.tfevents.1724830242.0386e2fe2c9d.354.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:13a60635075f3c88af52be37cb305f023350d4fd60a5809e91c3b06aeb986a1e
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size 6072
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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:cc166a36a573f31f8005f09329fbad0e9b474b01b0a1afac2bd51393a706c700
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size 5176
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