Model save

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: Main_Fashion
+  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. -->
+
+# Main_Fashion
+
+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: 0.7633
+- Accuracy: 0.6961
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.934         | 0.9259 | 100  | 0.9492          | 0.7030   |
+| 0.9191        | 1.8519 | 200  | 0.7838          | 0.7401   |
+| 0.7774        | 2.7778 | 300  | 0.8152          | 0.7123   |
+| 0.5743        | 3.7037 | 400  | 0.7249          | 0.7100   |
+| 0.5145        | 4.6296 | 500  | 0.7721          | 0.7077   |
+| 0.4713        | 5.5556 | 600  | 0.7182          | 0.7146   |
+| 0.4397        | 6.4815 | 700  | 0.7633          | 0.6961   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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": "dress",
+    "1": "sweater",
+    "2": "short",
+    "3": "shirt",
+    "4": "pants",
+    "5": "skirt",
+    "6": "jacket",
+    "7": "Tshirt"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Tshirt": 7,
+    "dress": 0,
+    "jacket": 6,
+    "pants": 4,
+    "shirt": 3,
+    "short": 2,
+    "skirt": 5,
+    "sweater": 1
+  },
+  "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": "4.40.1"
+}

model.safetensors

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+size 343242432

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "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": [
+    224,
+    224
+  ]
+}

runs/May01_18-31-07_13983870a714/events.out.tfevents.1714588278.13983870a714.1243.0

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training_args.bin

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