Upload 6 files
Browse files- config.json +60 -0
- preprocessor_config.json +22 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +456 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"ResNetForImageClassification"
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],
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"depths": [
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3,
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4,
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6,
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3
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],
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"downsample_in_bottleneck": false,
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"downsample_in_first_stage": false,
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"embedding_size": 64,
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"hidden_act": "relu",
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"hidden_sizes": [
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256,
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512,
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1024,
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2048
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],
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"id2label": {
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"0": "Melanoma",
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"1": "Melanocytic nevus",
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"2": "Basal cell carcinoma",
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"3": "Actinic keratosis",
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"4": "Benign keratosis",
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"5": "Dermatofibroma",
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"6": "Vascular lesion",
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"7": "Squamous cell carcinoma"
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},
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"label2id": {
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"Actinic keratosis": "3",
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"Basal cell carcinoma": "2",
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"Benign keratosis": "4",
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"Dermatofibroma": "5",
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"Melanocytic nevus": "1",
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"Melanoma": "0",
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"Squamous cell carcinoma": "7",
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"Vascular lesion": "6"
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},
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"layer_type": "bottleneck",
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"model_type": "resnet",
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"num_channels": 3,
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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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"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": "4.36.2"
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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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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0aed792a47d538d4606b5e807a1bd2f4997f0a0949639142cd1ccc32b12ac820
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5314c481ce523764fa1832e2d087c3cbc252f08c2ad31c78398b6fc6f79f97d1
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size 1064
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trainer_state.json
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