End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: food_classify_viT
+  results: []
+---
+
+<!-- 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. -->
+
+# food_classify_viT
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8683
+- Accuracy: 0.8948
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9970 | 83   | 1.6473          | 0.8236   |
+| No log        | 1.9940 | 166  | 1.1061          | 0.8863   |
+| No log        | 2.9910 | 249  | 0.9208          | 0.8820   |
+| No log        | 3.9880 | 332  | 0.8683          | 0.8948   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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": "burger",
+    "1": "butter_naan",
+    "2": "chai",
+    "3": "chapati",
+    "4": "chole_bhature",
+    "5": "dal_makhani",
+    "6": "dhokla",
+    "7": "fried_rice",
+    "8": "idli",
+    "9": "jalebi",
+    "10": "kaathi_rolls",
+    "11": "kadai_paneer",
+    "12": "kulfi",
+    "13": "masala_dosa",
+    "14": "momos",
+    "15": "paani_puri",
+    "16": "pakode",
+    "17": "pav_bhaji",
+    "18": "pizza",
+    "19": "samosa"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "burger": 0,
+    "butter_naan": 1,
+    "chai": 2,
+    "chapati": 3,
+    "chole_bhature": 4,
+    "dal_makhani": 5,
+    "dhokla": 6,
+    "fried_rice": 7,
+    "idli": 8,
+    "jalebi": 9,
+    "kaathi_rolls": 10,
+    "kadai_paneer": 11,
+    "kulfi": 12,
+    "masala_dosa": 13,
+    "momos": 14,
+    "paani_puri": 15,
+    "pakode": 16,
+    "pav_bhaji": 17,
+    "pizza": 18,
+    "samosa": 19
+  },
+  "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": "4.46.3"
+}

model.safetensors

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+size 343279344

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": "ViTImageProcessorFast",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Nov20_00-58-53_2eb397773cc6/events.out.tfevents.1732064339.2eb397773cc6.608.1

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training_args.bin

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