End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: clothing_category_model
+  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. -->
+
+# clothing_category_model
+
+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: 4.4070
+- Accuracy: 0.2103
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.695         | 1.0   | 551  | 4.4070          | 0.2103   |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cpu
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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": "Accessories",
+    "1": "Apparel Set",
+    "10": "Eyewear",
+    "11": "Flip Flops",
+    "12": "Fragrance",
+    "13": "Free Gifts",
+    "14": "Gloves",
+    "15": "Hair",
+    "16": "Headwear",
+    "17": "Home Furnishing",
+    "18": "Innerwear",
+    "19": "Jewellery",
+    "2": "Bags",
+    "20": "Lips",
+    "21": "Loungewear and Nightwear",
+    "22": "Makeup",
+    "23": "Mufflers",
+    "24": "Nails",
+    "25": "Perfumes",
+    "26": "Sandal",
+    "27": "Saree",
+    "28": "Scarves",
+    "29": "Shoe Accessories",
+    "3": "Bath and Body",
+    "30": "Shoes",
+    "31": "Skin",
+    "32": "Skin Care",
+    "33": "Socks",
+    "34": "Sports Accessories",
+    "35": "Sports Equipment",
+    "36": "Stoles",
+    "37": "Ties",
+    "38": "Topwear",
+    "39": "Umbrellas",
+    "4": "Beauty Accessories",
+    "40": "Wallets",
+    "41": "Watches",
+    "42": "Water Bottle",
+    "43": "Wristbands",
+    "5": "Belts",
+    "6": "Bottomwear",
+    "7": "Cufflinks",
+    "8": "Dress",
+    "9": "Eyes"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Accessories": "0",
+    "Apparel Set": "1",
+    "Bags": "2",
+    "Bath and Body": "3",
+    "Beauty Accessories": "4",
+    "Belts": "5",
+    "Bottomwear": "6",
+    "Cufflinks": "7",
+    "Dress": "8",
+    "Eyes": "9",
+    "Eyewear": "10",
+    "Flip Flops": "11",
+    "Fragrance": "12",
+    "Free Gifts": "13",
+    "Gloves": "14",
+    "Hair": "15",
+    "Headwear": "16",
+    "Home Furnishing": "17",
+    "Innerwear": "18",
+    "Jewellery": "19",
+    "Lips": "20",
+    "Loungewear and Nightwear": "21",
+    "Makeup": "22",
+    "Mufflers": "23",
+    "Nails": "24",
+    "Perfumes": "25",
+    "Sandal": "26",
+    "Saree": "27",
+    "Scarves": "28",
+    "Shoe Accessories": "29",
+    "Shoes": "30",
+    "Skin": "31",
+    "Skin Care": "32",
+    "Socks": "33",
+    "Sports Accessories": "34",
+    "Sports Equipment": "35",
+    "Stoles": "36",
+    "Ties": "37",
+    "Topwear": "38",
+    "Umbrellas": "39",
+    "Wallets": "40",
+    "Watches": "41",
+    "Water Bottle": "42",
+    "Wristbands": "43"
+  },
+  "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": "4.33.3"
+}

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": "ViTImageProcessor",
+  "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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training_args.bin

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