jimjakdiend
commited on
Commit
•
52abe15
1
Parent(s):
c48976b
Training in progress, step 14
Browse files- config.json +64 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "jimjakdiend/centadv1test",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "01turquoise",
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"1": "02bluethick",
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"2": "03whitethin",
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"3": "04yellow",
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"4": "05brown",
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"5": "06red",
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"6": "07black",
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"7": "08darkbrown",
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"8": "09bluecircle",
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"9": "10bluethin",
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"10": "11blackcircle",
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"11": "12green",
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"12": "13whitethick",
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"13": "14defblack",
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"14": "15defwhitethin",
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"15": "16defgreen",
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"16": "17defred",
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"17": "18defbluethin"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"01turquoise": "0",
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"02bluethick": "1",
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"03whitethin": "2",
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"04yellow": "3",
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"05brown": "4",
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"06red": "5",
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"07black": "6",
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"08darkbrown": "7",
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"09bluecircle": "8",
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"10bluethin": "9",
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"11blackcircle": "10",
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"12green": "11",
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"13whitethick": "12",
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"14defblack": "13",
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"15defwhitethin": "14",
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"16defgreen": "15",
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"17defred": "16",
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"18defbluethin": "17"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.34.1"
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}
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0c8d6a9479af8dfbbe4d1f993e13ae3e60a7aabeb3c6cb14dcfa0cb83785069
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size 343318378
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e9905289fcad50278fdec85800c26dd0b34bbb250ee8ae87ed0a87044b781c6
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size 4600
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