Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: finetuned-food
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9281675392670157
+---
+
+<!-- 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. -->
+
+# finetuned-food
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2816
+- Accuracy: 0.9282
+
+## 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: 0.0002
+- train_batch_size: 15
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8456        | 0.39  | 500  | 0.8593          | 0.7634   |
+| 0.7824        | 0.78  | 1000 | 0.6625          | 0.8172   |
+| 0.4806        | 1.18  | 1500 | 0.4951          | 0.8618   |
+| 0.6206        | 1.57  | 2000 | 0.4434          | 0.88     |
+| 0.5096        | 1.96  | 2500 | 0.4937          | 0.8683   |
+| 0.4576        | 2.35  | 3000 | 0.4060          | 0.8907   |
+| 0.3284        | 2.75  | 3500 | 0.3414          | 0.9081   |
+| 0.2022        | 3.14  | 4000 | 0.3330          | 0.9118   |
+| 0.1332        | 3.53  | 4500 | 0.3043          | 0.9208   |
+| 0.1821        | 3.92  | 5000 | 0.2816          | 0.9282   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.2.0.post100
+- Datasets 2.12.0
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Baked Potato",
+    "1": "Crispy Chicken",
+    "10": "butter_naan",
+    "11": "chai",
+    "12": "chapati",
+    "13": "cheesecake",
+    "14": "chicken_curry",
+    "15": "chole_bhature",
+    "16": "dal_makhani",
+    "17": "dhokla",
+    "18": "fried_rice",
+    "19": "ice_cream",
+    "2": "Donut",
+    "20": "idli",
+    "21": "jalebi",
+    "22": "kaathi_rolls",
+    "23": "kadai_paneer",
+    "24": "kulfi",
+    "25": "masala_dosa",
+    "26": "momos",
+    "27": "omelette",
+    "28": "paani_puri",
+    "29": "pakode",
+    "3": "Fries",
+    "30": "pav_bhaji",
+    "31": "pizza",
+    "32": "samosa",
+    "33": "sushi",
+    "4": "Hot Dog",
+    "5": "Sandwich",
+    "6": "Taco",
+    "7": "Taquito",
+    "8": "apple_pie",
+    "9": "burger"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Baked Potato": "0",
+    "Crispy Chicken": "1",
+    "Donut": "2",
+    "Fries": "3",
+    "Hot Dog": "4",
+    "Sandwich": "5",
+    "Taco": "6",
+    "Taquito": "7",
+    "apple_pie": "8",
+    "burger": "9",
+    "butter_naan": "10",
+    "chai": "11",
+    "chapati": "12",
+    "cheesecake": "13",
+    "chicken_curry": "14",
+    "chole_bhature": "15",
+    "dal_makhani": "16",
+    "dhokla": "17",
+    "fried_rice": "18",
+    "ice_cream": "19",
+    "idli": "20",
+    "jalebi": "21",
+    "kaathi_rolls": "22",
+    "kadai_paneer": "23",
+    "kulfi": "24",
+    "masala_dosa": "25",
+    "momos": "26",
+    "omelette": "27",
+    "paani_puri": "28",
+    "pakode": "29",
+    "pav_bhaji": "30",
+    "pizza": "31",
+    "samosa": "32",
+    "sushi": "33"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.1"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+size 343364842

training_args.bin

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