config.json

{
    "_name_or_path": "facebook/dinov2-small",
    "apply_layernorm": true,
    "architectures": [
        "Dinov2ForImageClassification"
    ],
    "attention_probs_dropout_prob": 0.0,
    "drop_path_rate": 0.0,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.0,
    "hidden_size": 384,
    "id2label": {
        "0": "ALGAE",
        "1": "Acr",
        "2": "Acr_Br",
        "3": "Anem",
        "4": "CCA",
        "5": "Ech",
        "6": "Fts",
        "7": "Gal",
        "8": "Gon",
        "9": "H_oval",
        "10": "H_uni",
        "11": "Mtp",
        "12": "P",
        "13": "Poc",
        "14": "Por",
        "15": "R",
        "16": "RDC",
        "17": "S",
        "18": "SG",
        "19": "Sarg",
        "20": "Ser",
        "21": "Slt",
        "22": "Sp",
        "23": "Turf"
    },
    "image_size": 224,
    "initializer_range": 0.02,
    "label2id": {
        "ALGAE": 0,
        "Acr": 1,
        "Acr_Br": 2,
        "Anem": 3,
        "CCA": 4,
        "Ech": 5,
        "Fts": 6,
        "Gal": 7,
        "Gon": 8,
        "H_oval": 9,
        "H_uni": 10,
        "Mtp": 11,
        "P": 12,
        "Poc": 13,
        "Por": 14,
        "R": 15,
        "RDC": 16,
        "S": 17,
        "SG": 18,
        "Sarg": 19,
        "Ser": 20,
        "Slt": 21,
        "Sp": 22,
        "Turf": 23
    },
    "layer_norm_eps": 1e-06,
    "layerscale_value": 1.0,
    "mlp_ratio": 4,
    "model_type": "dinov2",
    "num_attention_heads": 6,
    "num_channels": 3,
    "num_hidden_layers": 12,
    "out_features": [
        "stage12"
    ],
    "out_indices": [
        12
    ],
    "patch_size": 14,
    "problem_type": "single_label_classification",
    "qkv_bias": true,
    "reshape_hidden_states": true,
    "stage_names": [
        "stem",
        "stage1",
        "stage2",
        "stage3",
        "stage4",
        "stage5",
        "stage6",
        "stage7",
        "stage8",
        "stage9",
        "stage10",
        "stage11",
        "stage12"
    ],
    "torch_dtype": "float32",
    "transformers_version": "4.48.0",
    "use_swiglu_ffn": false,
    "initial_learning_rate": 0.001,
    "train_batch_size": 16,
    "eval_batch_size": 16,
    "optimizer": {
        "type": "Adam"
    },
    "lr_scheduler_type": {
        "type": "ReduceLROnPlateau"
    },
    "patience_lr_scheduler": 5,
    "factor_lr_scheduler": 0.1,
    "weight_decay": 0.0001,
    "early_stopping_patience": 10,
    "freeze_encoder": true,
    "data_augmentation": true,
    "num_epochs": 150
}