Commit ·
cb721b0
1
Parent(s): 5c46844
Training in progress, epoch 1
Browse files- config.json +51 -0
- preprocessor_config.json +16 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "apple/mobilevitv2-1.0-imagenet1k-256",
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"architectures": [
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"MobileViTV2ForImageClassification"
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],
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"aspp_dropout_prob": 0.1,
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"aspp_out_channels": 512,
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"atrous_rates": [
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6,
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12,
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18
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],
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"attn_dropout": 0.0,
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"base_attn_unit_dims": [
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128,
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192,
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256
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],
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"classifier_dropout_prob": 0.1,
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"conv_kernel_size": 3,
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"expand_ratio": 2.0,
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"ffn_dropout": 0.0,
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"ffn_multiplier": 2,
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"hidden_act": "swish",
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"id2label": {
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"0": "Normal",
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"1": "Abnormal"
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},
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"image_size": 256,
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"initializer_range": 0.02,
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"label2id": {
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"Abnormal": 1,
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"Normal": 0
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 2.0,
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"model_type": "mobilevitv2",
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"n_attn_blocks": [
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2,
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4,
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3
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],
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"num_channels": 3,
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"output_stride": 32,
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"patch_size": 2,
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"problem_type": "single_label_classification",
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"semantic_loss_ignore_index": 255,
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"torch_dtype": "float32",
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"transformers_version": "4.33.2",
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"width_multiplier": 1.0
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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": 256,
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"width": 256
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},
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"do_center_crop": true,
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"do_flip_channel_order": true,
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"do_rescale": true,
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"do_resize": true,
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"image_processor_type": "MobileViTImageProcessor",
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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": 288
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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 sha256:3a3168412b122c4b8764ef94d38595d0b6d66ac7c629b85a3f26f78c17450203
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size 17720129
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:042bca5676d3bf056732067e9377ef2cace98fc3ef8d73cdfff02cad7a7446b3
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size 4091
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