Training in progress, epoch 0
Browse files- config.json +61 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
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@@ -0,0 +1,61 @@
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{
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"_name_or_path": "facebook/convnextv2-large-1k-224",
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"architectures": [
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"ConvNextV2ForImageClassification"
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],
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"depths": [
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3,
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3,
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27,
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3
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],
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_sizes": [
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192,
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384,
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768,
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1536
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],
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"id2label": {
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"0": "akiec",
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"1": "bcc",
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"2": "bkl",
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"3": "df",
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"4": "mel",
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"5": "nv",
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"6": "vasc"
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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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"akiec": 0,
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"bcc": 1,
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"bkl": 2,
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"df": 3,
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"mel": 4,
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"nv": 5,
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"vasc": 6
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},
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"layer_norm_eps": 1e-12,
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"model_type": "convnextv2",
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"num_channels": 3,
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"num_stages": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"patch_size": 4,
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"problem_type": "single_label_classification",
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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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],
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"torch_dtype": "float32",
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"transformers_version": "4.32.0"
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}
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preprocessor_config.json
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{
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"crop_pct": 0.875,
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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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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ConvNextImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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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:ab535a61105901d85d2ef3eb47de4c2e0bf6247f0a9c20c89799398efb2b2363
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size 785854781
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training_args.bin
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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:d799d0eb432e49defb75e8ab8b2c85a2dabd38048bc2d51b8b90c00e18fbcd0d
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size 4219
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