Training in progress, epoch 0
Browse files
config.json
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{
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"_name_or_path": "google/vit-large-patch16-224-in21k",
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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": 1024,
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"id2label": {
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"0": "Actinic keratoses",
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"1": "Basal cell carcinoma",
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"10": "Melanoma",
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"11": "Monkeypox",
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"12": "Squamous cell carcinoma",
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"13": "Vascular lesions",
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"2": "Benign keratosis-like lesions",
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"3": "Chickenpox",
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"4": "Cowpox",
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"5": "Dermatofibroma",
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"6": "HFMD",
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"7": "Healthy",
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"8": "Measles",
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"9": "Melanocytic nevi"
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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": 4096,
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"label2id": {
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"Actinic keratoses": "0",
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"Basal cell carcinoma": "1",
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"Benign keratosis-like lesions": "2",
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"Chickenpox": "3",
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"Cowpox": "4",
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"Dermatofibroma": "5",
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"HFMD": "6",
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"Healthy": "7",
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"Measles": "8",
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"Melanocytic nevi": "9",
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"Melanoma": "10",
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"Monkeypox": "11",
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"Squamous cell carcinoma": "12",
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"Vascular lesions": "13"
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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": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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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": "4.36.2"
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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 sha256:3547b12ef387366d6a99d7d25eef084fdd0f5bec7f651017b99897b8d8d5604c
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size 1213310472
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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/Mar29_21-11-50_3917dc302e3e/events.out.tfevents.1711746746.3917dc302e3e.26.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e60bbdcdc719d44176b9b95963a30ae0a97a5718ad3f49d44ff8124efe6bb10
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size 7799
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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:d9ad9e668ae61578b5d13d01e83dd4ec413240e49c732f465395ee3a719a5eba
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size 4283
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