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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_keras_callback
+model-index:
+- name: CodeMania/Vehicle_classifier
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# CodeMania/Vehicle_classifier
+
+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:
+- Train Loss: 0.4395
+- Validation Loss: 0.5309
+- Train Accuracy: 0.8601
+- Epoch: 4
+
+## 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:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 13595, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 1.8665     | 1.3278          | 0.6654         | 0     |
+| 1.1317     | 0.9559          | 0.7569         | 1     |
+| 0.7964     | 0.7558          | 0.7908         | 2     |
+| 0.5967     | 0.6633          | 0.8183         | 3     |
+| 0.4395     | 0.5309          | 0.8601         | 4     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- TensorFlow 2.17.0
+- Datasets 3.0.0
+- 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": "auto-rickshaw",
+    "1": "bicycle",
+    "10": "truck",
+    "11": "van",
+    "2": "bus",
+    "3": "car",
+    "4": "e-rickshaw",
+    "5": "mini-bus",
+    "6": "mini-truck",
+    "7": "motorcycle",
+    "8": "rickshaw",
+    "9": "tractor"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "auto-rickshaw": "0",
+    "bicycle": "1",
+    "bus": "2",
+    "car": "3",
+    "e-rickshaw": "4",
+    "mini-bus": "5",
+    "mini-truck": "6",
+    "motorcycle": "7",
+    "rickshaw": "8",
+    "tractor": "9",
+    "truck": "10",
+    "van": "11"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "transformers_version": "4.44.2"
+}

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
+  }
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a16241bf062ccd69f343d3d2e0da2394cedd4b371e6235393435636081c28a77
+size 343516856