Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/dinov2-giant
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: dino_finetuned_giant_10_layers_thawed
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7361218408564176
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# dino_finetuned_giant_10_layers_thawed
+
+This model is a fine-tuned version of [facebook/dinov2-giant](https://huggingface.co/facebook/dinov2-giant) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0387
+- Accuracy: 0.7361
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 54
+- eval_batch_size: 54
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 216
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 3.3778        | 0.3145 | 25   | 2.5161          | 0.3373   |
+| 2.0106        | 0.6289 | 50   | 1.8874          | 0.4838   |
+| 1.9           | 0.9434 | 75   | 1.6407          | 0.5441   |
+| 1.2966        | 1.2579 | 100  | 1.4907          | 0.5930   |
+| 1.3413        | 1.5723 | 125  | 1.3532          | 0.6358   |
+| 1.2871        | 1.8868 | 150  | 1.2731          | 0.6547   |
+| 0.7792        | 2.2013 | 175  | 1.1967          | 0.6875   |
+| 0.7153        | 2.5157 | 200  | 1.1761          | 0.6966   |
+| 0.7544        | 2.8302 | 225  | 1.1136          | 0.7096   |
+| 0.465         | 3.1447 | 250  | 1.0962          | 0.7187   |
+| 0.414         | 3.4591 | 275  | 1.0997          | 0.7274   |
+| 0.4749        | 3.7736 | 300  | 1.0717          | 0.7291   |
+| 0.4742        | 4.0881 | 325  | 1.0425          | 0.7323   |
+| 0.3448        | 4.4025 | 350  | 1.0402          | 0.7392   |
+| 0.3341        | 4.7170 | 375  | 1.0387          | 0.7361   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "facebook/dinov2-giant",
+  "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": 1536,
+  "id2label": {
+    "0": "Alternative",
+    "1": "Animecore",
+    "10": "Dark_Fantasy",
+    "11": "E-Girl",
+    "12": "Ethereal",
+    "13": "Fairycore",
+    "14": "Goblincore",
+    "15": "Goth",
+    "16": "Grunge",
+    "17": "Hypebeast",
+    "18": "Jersey_Shore",
+    "19": "Kawaii",
+    "2": "Art_Hoe",
+    "20": "Kidcore",
+    "21": "Lagenlook",
+    "22": "Lolita",
+    "23": "Mob_Wife",
+    "24": "Normcore",
+    "25": "Old_Money",
+    "26": "Pastel_Goth",
+    "27": "Preppy",
+    "28": "Punk",
+    "29": "Soft_Grunge",
+    "3": "Avant-garde",
+    "30": "Steampunk",
+    "31": "Tomato_Girl_Summer",
+    "32": "Twee",
+    "33": "VSCO",
+    "34": "Vaporwave",
+    "35": "Y2K",
+    "4": "Baddie",
+    "5": "Bohemian",
+    "6": "Cottagecore",
+    "7": "Country",
+    "8": "Cyberpunk",
+    "9": "Dark_Academia"
+  },
+  "image_size": 518,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Alternative": "0",
+    "Animecore": "1",
+    "Art_Hoe": "2",
+    "Avant-garde": "3",
+    "Baddie": "4",
+    "Bohemian": "5",
+    "Cottagecore": "6",
+    "Country": "7",
+    "Cyberpunk": "8",
+    "Dark_Academia": "9",
+    "Dark_Fantasy": "10",
+    "E-Girl": "11",
+    "Ethereal": "12",
+    "Fairycore": "13",
+    "Goblincore": "14",
+    "Goth": "15",
+    "Grunge": "16",
+    "Hypebeast": "17",
+    "Jersey_Shore": "18",
+    "Kawaii": "19",
+    "Kidcore": "20",
+    "Lagenlook": "21",
+    "Lolita": "22",
+    "Mob_Wife": "23",
+    "Normcore": "24",
+    "Old_Money": "25",
+    "Pastel_Goth": "26",
+    "Preppy": "27",
+    "Punk": "28",
+    "Soft_Grunge": "29",
+    "Steampunk": "30",
+    "Tomato_Girl_Summer": "31",
+    "Twee": "32",
+    "VSCO": "33",
+    "Vaporwave": "34",
+    "Y2K": "35"
+  },
+  "layer_norm_eps": 1e-06,
+  "layerscale_value": 1.0,
+  "mlp_ratio": 4,
+  "model_type": "dinov2",
+  "num_attention_heads": 24,
+  "num_channels": 3,
+  "num_hidden_layers": 40,
+  "out_features": [
+    "stage40"
+  ],
+  "out_indices": [
+    40
+  ],
+  "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",
+    "stage13",
+    "stage14",
+    "stage15",
+    "stage16",
+    "stage17",
+    "stage18",
+    "stage19",
+    "stage20",
+    "stage21",
+    "stage22",
+    "stage23",
+    "stage24",
+    "stage25",
+    "stage26",
+    "stage27",
+    "stage28",
+    "stage29",
+    "stage30",
+    "stage31",
+    "stage32",
+    "stage33",
+    "stage34",
+    "stage35",
+    "stage36",
+    "stage37",
+    "stage38",
+    "stage39",
+    "stage40"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_swiglu_ffn": true
+}

model.safetensors

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+size 4546453200

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_convert_rgb",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

runs/Jun05_01-56-31_236c2c095f0f/events.out.tfevents.1717552593.236c2c095f0f.21358.0

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training_args.bin

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