End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_keras_callback
+model-index:
+- name: ahmed-ai/skin_lesions_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. -->
+
+# ahmed-ai/skin_lesions_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: 0.8374
+- Validation Loss: 0.7696
+- Train Accuracy: 0.7102
+- 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': 109580, '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 |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 1.3152     | 1.0475          | 0.6511         | 0     |
+| 1.0540     | 0.8775          | 0.6918         | 1     |
+| 0.9540     | 0.8533          | 0.6814         | 2     |
+| 0.8859     | 0.7491          | 0.7201         | 3     |
+| 0.8374     | 0.7696          | 0.7102         | 4     |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- TensorFlow 2.15.0
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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": "Actinic keratoses",
+    "1": "Basal cell carcinoma",
+    "10": "Melanoma",
+    "11": "Monkeypox",
+    "12": "Squamous cell carcinoma",
+    "13": "Vascular lesions",
+    "14": "dermatofibroma",
+    "2": "Benign keratosis-like lesions",
+    "3": "Chickenpox",
+    "4": "Cowpox",
+    "5": "Dermatofibroma",
+    "6": "HFMD",
+    "7": "Healthy",
+    "8": "Measles",
+    "9": "Melanocytic nevi"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Actinic keratoses": "0",
+    "Basal cell carcinoma": "1",
+    "Benign keratosis-like lesions": "2",
+    "Chickenpox": "3",
+    "Cowpox": "4",
+    "Dermatofibroma": "5",
+    "HFMD": "6",
+    "Healthy": "7",
+    "Measles": "8",
+    "Melanocytic nevi": "9",
+    "Melanoma": "10",
+    "Monkeypox": "11",
+    "Squamous cell carcinoma": "12",
+    "Vascular lesions": "13",
+    "dermatofibroma": "14"
+  },
+  "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": "4.36.2"
+}

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:f19d70f12bd480c3c4301cdd3dca16151f784a6069590c30d86e57405efea598
+size 343509688