Training in progress, epoch 1
Browse files
config.json
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{
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"architectures": [
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"MobileNetV2ForImageClassification"
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],
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"classifier_dropout_prob": 0.8,
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"depth_divisible_by": 8,
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"depth_multiplier": 1.0,
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"expand_ratio": 6.0,
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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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"9": "LABEL_9",
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"10": "LABEL_10",
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"11": "LABEL_11",
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"12": "LABEL_12",
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"13": "LABEL_13",
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"14": "LABEL_14"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_10": 10,
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"LABEL_11": 11,
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"LABEL_12": 12,
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"LABEL_13": 13,
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"LABEL_14": 14,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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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": "4.37.2"
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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 sha256:6e5c639f60456e5301fe2e2f923351eda35688e5e7222048bec9662e7f221cb5
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size 9146828
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preprocessor_config.json
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{
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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": "ViTImageProcessor",
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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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"height": 224,
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"width": 224
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}
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}
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runs/Feb26_23-16-51_bc728ad1a7f5/events.out.tfevents.1708989563.bc728ad1a7f5.1925.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:48660ff6e7e74d4b3bdf7e205850416d57ea4091da29fe9b0ed85801a62e0a5b
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size 5293
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fa0c7670205351b354acdd511b332771131ad3c487c2dad185be93250e2fa03
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size 4664
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