Upload 9 files
Browse files- all_results.json +13 -0
- config.json +115 -0
- eval_results.json +8 -0
- gitattributes +35 -0
- preprocessor_config.json +27 -0
- pytorch_model.bin +3 -0
- train_results.json +8 -0
- trainer_state.json +1810 -0
- training_args.bin +3 -0
all_results.json
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{
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"epoch": 9.98,
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"eval_accuracy": 0.9556772908366534,
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"eval_loss": 0.13210950791835785,
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"eval_runtime": 90.1971,
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"eval_samples_per_second": 44.525,
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"eval_steps_per_second": 1.397,
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"total_flos": 3.6866520144277144e+19,
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"train_loss": 0.47005472250864017,
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"train_runtime": 16871.6284,
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"train_samples_per_second": 21.419,
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"train_steps_per_second": 0.167
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}
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config.json
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{
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"_name_or_path": "facebook/dinov2-base",
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"_out_features": [
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"stage12"
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],
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"_out_indices": [
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12
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],
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"apply_layernorm": true,
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"architectures": [
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"Dinov2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"drop_path_rate": 0.0,
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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": "Basal Cell Carcinoma",
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"1": "Darier_s Disease",
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"2": "Epidermolysis Bullosa Pruriginosa",
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"3": "Hailey-Hailey Disease",
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"4": "Herpes Simplex",
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"5": "Impetigo",
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"6": "Larva Migrans",
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"7": "Leprosy Borderline",
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"8": "Leprosy Lepromatous",
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"9": "Leprosy Tuberculoid",
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"10": "Lichen Planus",
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"11": "Lupus Erythematosus Chronicus Discoides",
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"12": "Melanoma",
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"13": "Molluscum Contagiosum",
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"14": "Mycosis Fungoides",
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"15": "Neurofibromatosis",
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"16": "Papilomatosis Confluentes And Reticulate",
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"17": "Pediculosis Capitis",
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"18": "Pityriasis Rosea",
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"19": "Porokeratosis Actinic",
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"20": "Psoriasis",
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"21": "Tinea Corporis",
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"22": "Tinea Nigra",
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"23": "Tungiasis",
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"24": "actinic keratosis",
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"25": "dermatofibroma",
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"26": "nevus",
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"27": "pigmented benign keratosis",
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"28": "seborrheic keratosis",
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"29": "squamous cell carcinoma",
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"30": "vascular lesion"
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},
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"image_size": 518,
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"initializer_range": 0.02,
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"label2id": {
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"Basal Cell Carcinoma": 0,
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"Darier_s Disease": 1,
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"Epidermolysis Bullosa Pruriginosa": 2,
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"Hailey-Hailey Disease": 3,
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"Herpes Simplex": 4,
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"Impetigo": 5,
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"Larva Migrans": 6,
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"Leprosy Borderline": 7,
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"Leprosy Lepromatous": 8,
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"Leprosy Tuberculoid": 9,
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"Lichen Planus": 10,
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"Lupus Erythematosus Chronicus Discoides": 11,
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"Melanoma": 12,
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"Molluscum Contagiosum": 13,
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"Mycosis Fungoides": 14,
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"Neurofibromatosis": 15,
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"Papilomatosis Confluentes And Reticulate": 16,
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"Pediculosis Capitis": 17,
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"Pityriasis Rosea": 18,
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"Porokeratosis Actinic": 19,
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"Psoriasis": 20,
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"Tinea Corporis": 21,
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"Tinea Nigra": 22,
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"Tungiasis": 23,
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"actinic keratosis": 24,
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"dermatofibroma": 25,
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"nevus": 26,
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"pigmented benign keratosis": 27,
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"seborrheic keratosis": 28,
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"squamous cell carcinoma": 29,
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"vascular lesion": 30
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},
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"layer_norm_eps": 1e-06,
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"layerscale_value": 1.0,
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"mlp_ratio": 4,
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"model_type": "dinov2",
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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": 14,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"reshape_hidden_states": true,
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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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"stage5",
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"stage6",
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"stage7",
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"stage8",
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"stage9",
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"stage10",
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"stage11",
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"stage12"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.33.2",
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"use_swiglu_ffn": false
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}
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eval_results.json
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{
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"epoch": 9.98,
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"eval_accuracy": 0.9556772908366534,
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"eval_loss": 0.13210950791835785,
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"eval_runtime": 90.1971,
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"eval_samples_per_second": 44.525,
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"eval_steps_per_second": 1.397
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}
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gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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| 7 |
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"do_convert_rgb": true,
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"do_normalize": true,
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| 9 |
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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": "BitImageProcessor",
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| 17 |
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"image_std": [
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0.229,
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0.224,
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| 20 |
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0.225
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],
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| 22 |
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"resample": 3,
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| 23 |
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"rescale_factor": 0.00392156862745098,
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| 24 |
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"size": {
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| 25 |
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"shortest_edge": 256
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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 sha256:9107f296e77604842ee0edf9d42a2c7b403f0465ac3b02e4d32564abab9f692d
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| 3 |
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size 346588561
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train_results.json
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{
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"epoch": 9.98,
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| 3 |
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"total_flos": 3.6866520144277144e+19,
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| 4 |
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"train_loss": 0.47005472250864017,
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| 5 |
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"train_runtime": 16871.6284,
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| 6 |
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"train_samples_per_second": 21.419,
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| 7 |
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"train_steps_per_second": 0.167
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| 8 |
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}
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trainer_state.json
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training_args.bin
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